Moorabool ICT Survey Results-2010
- Fong, George, Thompson, Helen, Fong, Barbara
- Authors: Fong, George , Thompson, Helen , Fong, Barbara
- Date: 2010
- Type: Text , Dataset
- Full Text: false
- Description: Lateral Plains and the Centre for eCommerce and Communication were engaged by Moorabool Shire and Multimedia Victoria to review ICT in the Moorabool region. Background information on this study is available here. The study was completed in the period between April 2009 and April 2010. 238 survey responses were received. The opportunity to participate in the survey was promoted through direct email, flyers to schools, at Bacchus Marsh and Ballan Railway stations, notices on Moorabool websites, media releases and via community groups The responses to the survey formed an important part of the Moorabool Community Broadband and Telecommunications Strategy which will build and shape the Moorabool Shire's ICT policy for the coming years. Another way that the community got involved was by informing the project team of local examples of ICT usage that demonstrate the positive impacts of local adoption.
Wimmera Southern Mallee ICT Survey, June- November, 2010
- Thompson, Helen, Fong, George, Corbett, Jennifer, Fong, Barbara
- Authors: Thompson, Helen , Fong, George , Corbett, Jennifer , Fong, Barbara
- Date: 2010
- Type: Text , Dataset
- Full Text: false
- Description: The Wimmera Southern Mallee region dataset comprises results from a survey conducted June 2010 – 2011. The Wimmera Southern Mallee region has a population of 57,100. A total of 318 responses were received. More than 350 residents, businesses and local governmentrepresentatives were actively engaged through community forums, business and community surveys and case studies. The survey collected data to review ICT in the Central Highland Region.
Central Highlands ICT Survey Results, 2010
- Thompson, Helen, Fong, George
- Authors: Thompson, Helen , Fong, George
- Date: 2010
- Type: Text , Dataset
- Full Text:
- Description: The Central Highlands ICT dataset comprises results from a survey conducted during April to September, 2010. A total of 305 responses were received. Where comparable questions were asked through the Moorabool ICT Study, these responses have been included bringing the number of respondents to 525. Respondents came from Moorabool Shire, Ararat Rural City, Northern Grampians, Pyrenees Shire and Hepburn Shire. The survey collected data to Study to review ICT in the Central Highland Region. The survey was paper-based and online and comprised 40 possible questions. The Central Highlands ICT study included mapping ICT adoption levels and service satisfaction, and attempted to identify area of pent up demand for services. The goal was to develop an evidence base to assist the region in building and shaping its ICT policy in the coming years.
- Authors: Thompson, Helen , Fong, George
- Date: 2010
- Type: Text , Dataset
- Full Text:
- Description: The Central Highlands ICT dataset comprises results from a survey conducted during April to September, 2010. A total of 305 responses were received. Where comparable questions were asked through the Moorabool ICT Study, these responses have been included bringing the number of respondents to 525. Respondents came from Moorabool Shire, Ararat Rural City, Northern Grampians, Pyrenees Shire and Hepburn Shire. The survey collected data to Study to review ICT in the Central Highland Region. The survey was paper-based and online and comprised 40 possible questions. The Central Highlands ICT study included mapping ICT adoption levels and service satisfaction, and attempted to identify area of pent up demand for services. The goal was to develop an evidence base to assist the region in building and shaping its ICT policy in the coming years.
Online alcohol interventions: A systematic review
- White, Angela, Kavanagh, David, Stallman, Helen, Klein, Britt, Kay-Lambkin, Frances, Proudfoot, Judith, Drennan, Judy, Connor, Jason, Baker, Amanda, Hines, Emily, Young, Ross
- Authors: White, Angela , Kavanagh, David , Stallman, Helen , Klein, Britt , Kay-Lambkin, Frances , Proudfoot, Judith , Drennan, Judy , Connor, Jason , Baker, Amanda , Hines, Emily , Young, Ross
- Date: 2010
- Type: Text , Journal article , Review
- Relation: Journal of Medical Internet Research Vol. 12, no. 5 (2010), p. e62p.1-e62p.12
- Full Text:
- Reviewed:
- Description: Background: There has been a significant increase in the availability of online programs for alcohol problems. A systematic review of the research evidence underpinning these programs is timely. Objectives: Our objective was to review the efficacy of online interventions for alcohol misuse. Systematic searches of Medline, PsycINFO, Web of Science, and Scopus were conducted for English abstracts (excluding dissertations) published from 1998 onward. Search terms were: (1) Internet, Web*; (2) online, computer *; (3) alcohol*; and (4) Eeffect *, trial*, random* (where * denotes a wildcard). Forward and backward searches from identified papers were also conducted. Articles were included if (1) the primary intervention was delivered and accessed via the Internet, (2) the intervention focused on moderating or stopping alcohol consumption, and (3) the study was a randomized controlled trial of an alcohol-related screen, assessment, or intervention. Results: The literature search initially yielded 31 randomized controlled trials (RCTs), 17 of which met inclusion criteria. Of these 17 studies, 12 (70.6%) were conducted with university students, and 11 (64.7%) specifically focused on at-risk, heavy, or binge drinkers. Sample sizes ranged from 40 to 3216 (median 261), with 12 (70.6%) studies predominantly involving brief personalized feedback interventions. Using published data, effect sizes could be extracted from 8 of the 17 studies. In relation to alcohol units per week or month and based on 5 RCTs where a measure of alcohol units per week or month could be extracted, differential effect sizes to posttreatment ranged from 0.02 to 0.81 (mean 0.42, median 0.54). Pre-post effect sizes for brief personalized feedback interventions ranged from 0.02 to 0.81, and in 2 multi-session modularized interventions, a pre-post effect size of 0.56 was obtained in both. Pre-post differential effect sizes for peak blood alcohol concentrations (BAC) ranged from 0.22 to 0.88, with a mean effect size of 0.66. Conclusions: The available evidence suggests that users can benefit from online alcohol interventions and that this approach could be particularly useful for groups less likely to access traditional alcohol-related services, such as women, young people, and at-risk users. However, caution should be exercised given the limited number of studies allowing extraction of effect sizes, the heterogeneity of outcome measures and follow-up periods, and the large proportion of student-based studies. More extensive RCTs in community samples are required to better understand the efficacy of specific online alcohol approaches, program dosage, the additive effect of telephone or face-to-face interventions, and effective strategies for their dissemination and marketing.
- Description: Background: There has been a significant increase in the availability of online programs for alcohol problems. A systematic review of the research evidence underpinning these programs is timely. Objectives: Our objective was to review the efficacy of online interventions for alcohol misuse. Systematic searches of Medline, PsycINFO, Web of Science, and Scopus were conducted for English abstracts (excluding dissertations) published from 1998 onward. Search terms were: (1) Internet, Web*; (2) online, computer *; (3) alcohol*; and (4) E\effect *, trial*, random* (where * denotes a wildcard). Forward and backward searches from identified papers were also conducted. Articles were included if (1) the primary intervention was delivered and accessed via the Internet, (2) the intervention focused on moderating or stopping alcohol consumption, and (3) the study was a randomized controlled trial of an alcohol-related screen, assessment, or intervention. Results: The literature search initially yielded 31 randomized controlled trials (RCTs), 17 of which met inclusion criteria. Of these 17 studies, 12 (70.6%) were conducted with university students, and 11 (64.7%) specifically focused on at-risk, heavy, or binge drinkers. Sample sizes ranged from 40 to 3216 (median 261), with 12 (70.6%) studies predominantly involving brief personalized feedback interventions. Using published data, effect sizes could be extracted from 8 of the 17 studies. In relation to alcohol units per week or month and based on 5 RCTs where a measure of alcohol units per week or month could be extracted, differential effect sizes to posttreatment ranged from 0.02 to 0.81 (mean 0.42, median 0.54). Pre-post effect sizes for brief personalized feedback interventions ranged from 0.02 to 0.81, and in 2 multi-session modularized interventions, a pre-post effect size of 0.56 was obtained in both. Pre-post differential effect sizes for peak blood alcohol concentrations (BAC) ranged from 0.22 to 0.88, with a mean effect size of 0.66. Conclusions: The available evidence suggests that users can benefit from online alcohol interventions and that this approach could be particularly useful for groups less likely to access traditional alcohol-related services, such as women, young people, and at-risk users. However, caution should be exercised given the limited number of studies allowing extraction of effect sizes, the heterogeneity of outcome measures and follow-up periods, and the large proportion of student-based studies. More extensive RCTs in community samples are required to better understand the efficacy of specific online alcohol approaches, program dosage, the additive effect of telephone or face-to-face interventions, and effective strategies for their dissemination and marketing.
- Authors: White, Angela , Kavanagh, David , Stallman, Helen , Klein, Britt , Kay-Lambkin, Frances , Proudfoot, Judith , Drennan, Judy , Connor, Jason , Baker, Amanda , Hines, Emily , Young, Ross
- Date: 2010
- Type: Text , Journal article , Review
- Relation: Journal of Medical Internet Research Vol. 12, no. 5 (2010), p. e62p.1-e62p.12
- Full Text:
- Reviewed:
- Description: Background: There has been a significant increase in the availability of online programs for alcohol problems. A systematic review of the research evidence underpinning these programs is timely. Objectives: Our objective was to review the efficacy of online interventions for alcohol misuse. Systematic searches of Medline, PsycINFO, Web of Science, and Scopus were conducted for English abstracts (excluding dissertations) published from 1998 onward. Search terms were: (1) Internet, Web*; (2) online, computer *; (3) alcohol*; and (4) Eeffect *, trial*, random* (where * denotes a wildcard). Forward and backward searches from identified papers were also conducted. Articles were included if (1) the primary intervention was delivered and accessed via the Internet, (2) the intervention focused on moderating or stopping alcohol consumption, and (3) the study was a randomized controlled trial of an alcohol-related screen, assessment, or intervention. Results: The literature search initially yielded 31 randomized controlled trials (RCTs), 17 of which met inclusion criteria. Of these 17 studies, 12 (70.6%) were conducted with university students, and 11 (64.7%) specifically focused on at-risk, heavy, or binge drinkers. Sample sizes ranged from 40 to 3216 (median 261), with 12 (70.6%) studies predominantly involving brief personalized feedback interventions. Using published data, effect sizes could be extracted from 8 of the 17 studies. In relation to alcohol units per week or month and based on 5 RCTs where a measure of alcohol units per week or month could be extracted, differential effect sizes to posttreatment ranged from 0.02 to 0.81 (mean 0.42, median 0.54). Pre-post effect sizes for brief personalized feedback interventions ranged from 0.02 to 0.81, and in 2 multi-session modularized interventions, a pre-post effect size of 0.56 was obtained in both. Pre-post differential effect sizes for peak blood alcohol concentrations (BAC) ranged from 0.22 to 0.88, with a mean effect size of 0.66. Conclusions: The available evidence suggests that users can benefit from online alcohol interventions and that this approach could be particularly useful for groups less likely to access traditional alcohol-related services, such as women, young people, and at-risk users. However, caution should be exercised given the limited number of studies allowing extraction of effect sizes, the heterogeneity of outcome measures and follow-up periods, and the large proportion of student-based studies. More extensive RCTs in community samples are required to better understand the efficacy of specific online alcohol approaches, program dosage, the additive effect of telephone or face-to-face interventions, and effective strategies for their dissemination and marketing.
- Description: Background: There has been a significant increase in the availability of online programs for alcohol problems. A systematic review of the research evidence underpinning these programs is timely. Objectives: Our objective was to review the efficacy of online interventions for alcohol misuse. Systematic searches of Medline, PsycINFO, Web of Science, and Scopus were conducted for English abstracts (excluding dissertations) published from 1998 onward. Search terms were: (1) Internet, Web*; (2) online, computer *; (3) alcohol*; and (4) E\effect *, trial*, random* (where * denotes a wildcard). Forward and backward searches from identified papers were also conducted. Articles were included if (1) the primary intervention was delivered and accessed via the Internet, (2) the intervention focused on moderating or stopping alcohol consumption, and (3) the study was a randomized controlled trial of an alcohol-related screen, assessment, or intervention. Results: The literature search initially yielded 31 randomized controlled trials (RCTs), 17 of which met inclusion criteria. Of these 17 studies, 12 (70.6%) were conducted with university students, and 11 (64.7%) specifically focused on at-risk, heavy, or binge drinkers. Sample sizes ranged from 40 to 3216 (median 261), with 12 (70.6%) studies predominantly involving brief personalized feedback interventions. Using published data, effect sizes could be extracted from 8 of the 17 studies. In relation to alcohol units per week or month and based on 5 RCTs where a measure of alcohol units per week or month could be extracted, differential effect sizes to posttreatment ranged from 0.02 to 0.81 (mean 0.42, median 0.54). Pre-post effect sizes for brief personalized feedback interventions ranged from 0.02 to 0.81, and in 2 multi-session modularized interventions, a pre-post effect size of 0.56 was obtained in both. Pre-post differential effect sizes for peak blood alcohol concentrations (BAC) ranged from 0.22 to 0.88, with a mean effect size of 0.66. Conclusions: The available evidence suggests that users can benefit from online alcohol interventions and that this approach could be particularly useful for groups less likely to access traditional alcohol-related services, such as women, young people, and at-risk users. However, caution should be exercised given the limited number of studies allowing extraction of effect sizes, the heterogeneity of outcome measures and follow-up periods, and the large proportion of student-based studies. More extensive RCTs in community samples are required to better understand the efficacy of specific online alcohol approaches, program dosage, the additive effect of telephone or face-to-face interventions, and effective strategies for their dissemination and marketing.
Content and functionality of alcohol and other drug websites: Results of an online survey
- Klein, Britt, White, Angela, Kavanagh, David, Shandley, Kerrie, Kay-Lambkin, Frances, Proudfoot, Judith, Drennan, Judy, Connor, Jason, Baker, Amanda, Young, Ross
- Authors: Klein, Britt , White, Angela , Kavanagh, David , Shandley, Kerrie , Kay-Lambkin, Frances , Proudfoot, Judith , Drennan, Judy , Connor, Jason , Baker, Amanda , Young, Ross
- Date: 2010
- Type: Text , Journal article
- Relation: Journal of Medical Internet Research Vol. 12, no. 5 (2010), p.
- Full Text:
- Reviewed:
- Description: Background: There is a growing trend for individuals to seek health information from online sources. Alcohol and other drug (AOD) use is a significant health problem worldwide, but access and use of AOD websites is poorly understood. Objective: To investigate content and functionality preferences for AOD and other health websites. Methods: An anonymous online survey examined general Internet and AOD-specific usage and search behaviors, valued features of AOD and health-related websites (general and interactive website features), indicators of website trustworthiness, valued AOD website tools or functions, and treatment modality preferences. Results: Surveys were obtained from 1214 drug (n = 766) and alcohol website users (n = 448) (mean age 26.2 years, range 16-70). There were no significant differences between alcohol and drug groups on demographic variables, Internet usage, indicators of website trustworthiness, or on preferences for AOD website functionality. A robust website design/navigation, open access, and validated content provision were highly valued by both groups. While attractiveness and pictures or graphics were also valued, high-cost features (videos, animations, games) were minority preferences. Almost half of respondents in both groups were unable to readily access the information they sought. Alcohol website users placed greater importance on several AOD website tools and functions than did those accessing other drug websites: online screening tools (
- Authors: Klein, Britt , White, Angela , Kavanagh, David , Shandley, Kerrie , Kay-Lambkin, Frances , Proudfoot, Judith , Drennan, Judy , Connor, Jason , Baker, Amanda , Young, Ross
- Date: 2010
- Type: Text , Journal article
- Relation: Journal of Medical Internet Research Vol. 12, no. 5 (2010), p.
- Full Text:
- Reviewed:
- Description: Background: There is a growing trend for individuals to seek health information from online sources. Alcohol and other drug (AOD) use is a significant health problem worldwide, but access and use of AOD websites is poorly understood. Objective: To investigate content and functionality preferences for AOD and other health websites. Methods: An anonymous online survey examined general Internet and AOD-specific usage and search behaviors, valued features of AOD and health-related websites (general and interactive website features), indicators of website trustworthiness, valued AOD website tools or functions, and treatment modality preferences. Results: Surveys were obtained from 1214 drug (n = 766) and alcohol website users (n = 448) (mean age 26.2 years, range 16-70). There were no significant differences between alcohol and drug groups on demographic variables, Internet usage, indicators of website trustworthiness, or on preferences for AOD website functionality. A robust website design/navigation, open access, and validated content provision were highly valued by both groups. While attractiveness and pictures or graphics were also valued, high-cost features (videos, animations, games) were minority preferences. Almost half of respondents in both groups were unable to readily access the information they sought. Alcohol website users placed greater importance on several AOD website tools and functions than did those accessing other drug websites: online screening tools (
Identifying tobacco retailers in the absence of a licensing system : lessons from Australia
- Baker, John, Masood, Mohd, Rahman, Muhammad Aziz, Thornton, Lukar, Begg, Stephen
- Authors: Baker, John , Masood, Mohd , Rahman, Muhammad Aziz , Thornton, Lukar , Begg, Stephen
- Date: 2021
- Type: Text , Journal article
- Relation: Tobacco Control Vol. 31, no. 4 (2021), p. 543-548
- Full Text:
- Reviewed:
- Description: ObjectivesTo estimate the proportion of retailers that sell tobacco in the absence of appropriate local government oversight, and to describe the characteristics by which they differ from those that can expect to receive such oversight.MethodsA database of listed tobacco retailers was obtained from a regional Victorian local government. Potential unlisted tobacco retailers were added using online searches, and attempts to visit all retailers were undertaken. GPS coordinates and sales type information of retailers that sold tobacco were recorded and attached to neighbourhood-level data on socioeconomic disadvantage and smoking prevalence using ArcMap. Logistic regression analyses, χ2 tests and t-tests were undertaken to explore differences in numbers of listed and unlisted retailers by business and neighbourhood-level characteristics.ResultsOf 125 confirmed tobacco retailers, 43.2% were trading potentially without government oversight. Significant differences were found between listed and unlisted retailers by primary business type (p<0.001), and sales type (p<0.001) but not by the other characteristics.ConclusionsThe database of tobacco retailers was inaccurate in two ways: (1) a number of listed retailers no longer operated or sold tobacco, and (2) 43.2% of businesses confirmed as selling tobacco were missing. As no form of licensing system exists in Victoria, it is difficult to identify the number of retailers operating, or to determine how many receive formal regulatory oversight. A positive licensing system is recommended to regulate the sale of tobacco and to generate a comprehensive database of retailers, similar to that which exists for food registration, gaming and liquor-licensed premises.
- Authors: Baker, John , Masood, Mohd , Rahman, Muhammad Aziz , Thornton, Lukar , Begg, Stephen
- Date: 2021
- Type: Text , Journal article
- Relation: Tobacco Control Vol. 31, no. 4 (2021), p. 543-548
- Full Text:
- Reviewed:
- Description: ObjectivesTo estimate the proportion of retailers that sell tobacco in the absence of appropriate local government oversight, and to describe the characteristics by which they differ from those that can expect to receive such oversight.MethodsA database of listed tobacco retailers was obtained from a regional Victorian local government. Potential unlisted tobacco retailers were added using online searches, and attempts to visit all retailers were undertaken. GPS coordinates and sales type information of retailers that sold tobacco were recorded and attached to neighbourhood-level data on socioeconomic disadvantage and smoking prevalence using ArcMap. Logistic regression analyses, χ2 tests and t-tests were undertaken to explore differences in numbers of listed and unlisted retailers by business and neighbourhood-level characteristics.ResultsOf 125 confirmed tobacco retailers, 43.2% were trading potentially without government oversight. Significant differences were found between listed and unlisted retailers by primary business type (p<0.001), and sales type (p<0.001) but not by the other characteristics.ConclusionsThe database of tobacco retailers was inaccurate in two ways: (1) a number of listed retailers no longer operated or sold tobacco, and (2) 43.2% of businesses confirmed as selling tobacco were missing. As no form of licensing system exists in Victoria, it is difficult to identify the number of retailers operating, or to determine how many receive formal regulatory oversight. A positive licensing system is recommended to regulate the sale of tobacco and to generate a comprehensive database of retailers, similar to that which exists for food registration, gaming and liquor-licensed premises.
.comUnity : A study on the adoption and diffusion of internet technologies in a regional tourism network
- Authors: Braun, Patrice
- Date: 2003
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis describes the initiation and evolution of an action research project, which investigates the adoption and diffusion of Internet technologies in a regional Australian tourism network. The research evolved out of a portal development consultancy. The aim of the study was two-fold: to investigate the nature of the change process when a collaborative network seeks to adopt e-commerce; and to determine how the change process differed in the face of incremental change (adding some e-commerce solutions to the network), or radical change (changing the overall business model). The purpose of the study was to gain a better understanding of the economic, strategic and social potential of regional business networks in the current techno-economic climate. The study builds on Rogers' (1995) seminal work on the diffusion of innovations and makes a unique contribution to existing diffusion studies by its focus on the nature of the network links as the unit of analysis; and by its application of an action-oriented methodology to untangle the effects of the embedded network structure on diffusion. The study suggests a strong relationship between diffusion and network positioning, both in terms of place (status and position in the network) and space (the geographic make-up of the network). Diffusion further hinged on network cohesion, actors' trust in and engagement with the network. Adoption of e-commerce was obstructed by actors’ worldview; lack of time, reflexive learning, and commitment to change. The incorporation in the study’s diffusion framework of contextual moderators such as network position, worldview, trust, time and commitment considerably extends Rogers’ traditional diffusion framework. Based on its emergent analysis framework, the study introduces a dynamic change model towards sustainable regional network development. It is suggested that both the diffusion framework and the regional innovation model developed in this study may, either jointly or separately, be applicable beyond the tourism and service sector.
- Description: Doctor of Philosophy
- Authors: Braun, Patrice
- Date: 2003
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis describes the initiation and evolution of an action research project, which investigates the adoption and diffusion of Internet technologies in a regional Australian tourism network. The research evolved out of a portal development consultancy. The aim of the study was two-fold: to investigate the nature of the change process when a collaborative network seeks to adopt e-commerce; and to determine how the change process differed in the face of incremental change (adding some e-commerce solutions to the network), or radical change (changing the overall business model). The purpose of the study was to gain a better understanding of the economic, strategic and social potential of regional business networks in the current techno-economic climate. The study builds on Rogers' (1995) seminal work on the diffusion of innovations and makes a unique contribution to existing diffusion studies by its focus on the nature of the network links as the unit of analysis; and by its application of an action-oriented methodology to untangle the effects of the embedded network structure on diffusion. The study suggests a strong relationship between diffusion and network positioning, both in terms of place (status and position in the network) and space (the geographic make-up of the network). Diffusion further hinged on network cohesion, actors' trust in and engagement with the network. Adoption of e-commerce was obstructed by actors’ worldview; lack of time, reflexive learning, and commitment to change. The incorporation in the study’s diffusion framework of contextual moderators such as network position, worldview, trust, time and commitment considerably extends Rogers’ traditional diffusion framework. Based on its emergent analysis framework, the study introduces a dynamic change model towards sustainable regional network development. It is suggested that both the diffusion framework and the regional innovation model developed in this study may, either jointly or separately, be applicable beyond the tourism and service sector.
- Description: Doctor of Philosophy
Therapist-Assisted, Internet-Based Treatment for Panic Disorder: Can General Practitioners achieve comparable patient outcomes to Psychologists?
- Shandley, Kerrie, Austin, David, Klein, Britt, Pier, Ciaran, Schattner, Peter, Pierce, David, Wade, Victoria
- Authors: Shandley, Kerrie , Austin, David , Klein, Britt , Pier, Ciaran , Schattner, Peter , Pierce, David , Wade, Victoria
- Date: 2008
- Type: Text , Journal article
- Relation: Journal of Medical Internet Research Vol. 10, no. 2 (2008), p. 1-15
- Full Text:
- Reviewed:
- Description: Background: Mental illness is an escalating concern worldwide. The management of disorders such as anxiety and depression largely falls to family doctors or general practitioners (GPs). However, GPs are often too time constrained and may lack the necessary training to adequately manage the needs of such patients. Evidence-based Internet interventions represent a potentially valuable resource to reduce the burden of care and the cost of managing mental health disorders within primary care settings and, at the same time, improve patient outcomes. Objective: The present study sought to extend the efficacy of a therapist-assisted Internet treatment program for panic disorder, Panic Online, by determining whether comparable outcomes could be achieved and maintained when Panic Online was supported by either GPs or psychologists. Methods: Via a natural groups design, 96 people with a primary diagnosis of panic disorder (with or without agoraphobia) completed the Panic Online program over 12 weeks with the therapeutic assistance of their GP (n = 53), who had received specialist training in cognitive behavioral therapy, or a clinical psychologist (n = 43). Participants completed a clinical diagnostic telephone interview, conducted by a psychologist, and a set of online questionnaires to assess panic-related symptoms at three time periods (pretreatment, posttreatment, and 6 month follow-up). Results: Both treatments led to clinically significant improvements on measures of panic and panic-related symptomatology from pretreatment to posttreatment. Both groups were shown to significantly improve over time. Improvements for both groups were maintained at follow-up; however, the groups did differ significantly on two quality of life domains: physical (F1,82 = 9.13, P = .00) and environmental (F1,82 = 4.41, P = .04). The attrition rate was significantly higher among those being treated by their GP (χ 2 1 = 4.40, P = .02, N = 96). Conclusions: This study provides evidence that Internet-based interventions are an effective adjunct to existing mental health care systems. Consequently, this may facilitate and enhance the delivery of evidence-based mental health treatments to increasingly large segments of the population via primary care systems and through suitably trained health professionals.
- Description: Background: Mental illness is an escalating concern worldwide. The management of disorders such as anxiety and depression largely falls to family doctors or general practitioners (GPs). However, GPs are often too time constrained and may lack the necessary training to adequately manage the needs of such patients. Evidence-based Internet interventions represent a potentially valuable resource to reduce the burden of care and the cost of managing mental health disorders within primary care settings and, at the same time, improve patient outcomes. Objective: The present study sought to extend the efficacy of a therapist-assisted Internet treatment program for panic disorder, Panic Online, by determining whether comparable outcomes could be achieved and maintained when Panic Online was supported by either GPs or psychologists. Methods: Via a natural groups design, 96 people with a primary diagnosis of panic disorder (with or without agoraphobia) completed the Panic Online program over 12 weeks with the therapeutic assistance of their GP (n = 53), who had received specialist training in cognitive behavioral therapy, or a clinical psychologist (n = 43). Participants completed a clinical diagnostic telephone interview, conducted by a psychologist, and a set of online questionnaires to assess panic-related symptoms at three time periods (pretreatment, posttreatment, and 6 month follow-up). Results: Both treatments led to clinically significant improvements on measures of panic and panic-related symptomatology from pretreatment to posttreatment. Both groups were shown to significantly improve over time. Improvements for both groups were maintained at follow-up; however, the groups did differ significantly on two quality of life domains: physical (F1,82 = 9.13, P = .00) and environmental (F1,82 = 4.41, P = .04). The attrition rate was significantly higher among those being treated by their GP (
- Authors: Shandley, Kerrie , Austin, David , Klein, Britt , Pier, Ciaran , Schattner, Peter , Pierce, David , Wade, Victoria
- Date: 2008
- Type: Text , Journal article
- Relation: Journal of Medical Internet Research Vol. 10, no. 2 (2008), p. 1-15
- Full Text:
- Reviewed:
- Description: Background: Mental illness is an escalating concern worldwide. The management of disorders such as anxiety and depression largely falls to family doctors or general practitioners (GPs). However, GPs are often too time constrained and may lack the necessary training to adequately manage the needs of such patients. Evidence-based Internet interventions represent a potentially valuable resource to reduce the burden of care and the cost of managing mental health disorders within primary care settings and, at the same time, improve patient outcomes. Objective: The present study sought to extend the efficacy of a therapist-assisted Internet treatment program for panic disorder, Panic Online, by determining whether comparable outcomes could be achieved and maintained when Panic Online was supported by either GPs or psychologists. Methods: Via a natural groups design, 96 people with a primary diagnosis of panic disorder (with or without agoraphobia) completed the Panic Online program over 12 weeks with the therapeutic assistance of their GP (n = 53), who had received specialist training in cognitive behavioral therapy, or a clinical psychologist (n = 43). Participants completed a clinical diagnostic telephone interview, conducted by a psychologist, and a set of online questionnaires to assess panic-related symptoms at three time periods (pretreatment, posttreatment, and 6 month follow-up). Results: Both treatments led to clinically significant improvements on measures of panic and panic-related symptomatology from pretreatment to posttreatment. Both groups were shown to significantly improve over time. Improvements for both groups were maintained at follow-up; however, the groups did differ significantly on two quality of life domains: physical (F1,82 = 9.13, P = .00) and environmental (F1,82 = 4.41, P = .04). The attrition rate was significantly higher among those being treated by their GP (χ 2 1 = 4.40, P = .02, N = 96). Conclusions: This study provides evidence that Internet-based interventions are an effective adjunct to existing mental health care systems. Consequently, this may facilitate and enhance the delivery of evidence-based mental health treatments to increasingly large segments of the population via primary care systems and through suitably trained health professionals.
- Description: Background: Mental illness is an escalating concern worldwide. The management of disorders such as anxiety and depression largely falls to family doctors or general practitioners (GPs). However, GPs are often too time constrained and may lack the necessary training to adequately manage the needs of such patients. Evidence-based Internet interventions represent a potentially valuable resource to reduce the burden of care and the cost of managing mental health disorders within primary care settings and, at the same time, improve patient outcomes. Objective: The present study sought to extend the efficacy of a therapist-assisted Internet treatment program for panic disorder, Panic Online, by determining whether comparable outcomes could be achieved and maintained when Panic Online was supported by either GPs or psychologists. Methods: Via a natural groups design, 96 people with a primary diagnosis of panic disorder (with or without agoraphobia) completed the Panic Online program over 12 weeks with the therapeutic assistance of their GP (n = 53), who had received specialist training in cognitive behavioral therapy, or a clinical psychologist (n = 43). Participants completed a clinical diagnostic telephone interview, conducted by a psychologist, and a set of online questionnaires to assess panic-related symptoms at three time periods (pretreatment, posttreatment, and 6 month follow-up). Results: Both treatments led to clinically significant improvements on measures of panic and panic-related symptomatology from pretreatment to posttreatment. Both groups were shown to significantly improve over time. Improvements for both groups were maintained at follow-up; however, the groups did differ significantly on two quality of life domains: physical (F1,82 = 9.13, P = .00) and environmental (F1,82 = 4.41, P = .04). The attrition rate was significantly higher among those being treated by their GP (
The visceral embodiment of digital pleasures
- Smith, Naomi, Davis, Jenny, Maddox, Alexia Maddox, Patella-Rey, P.
- Authors: Smith, Naomi , Davis, Jenny , Maddox, Alexia Maddox , Patella-Rey, P.
- Date: 2019
- Type: Text , Conference paper
- Relation: 20th Annual conference of the Association of Internet Researchers, Brisbane, Australia p. 18
- Full Text:
- Reviewed:
- Description: This panel explores digital pleasures that arise through the entanglement of bodies and digital technologies. Focusing on the digital structures and affordances that facilitate seeking, receiving and giving pleasure we analyse the ways in which intimacy is not only interactive, but also profoundly embodied. Haraway’s work in particular highlights the importance of taking seriously the nexus of human bodies and technologies and attending to the ways in which technologies not only deliver and mediate pleasure, but potentially expand upon our capacity to experience it. This panel explores how mediated practices engage the body as a site of pleasure and embodied affective intensity. Within this frame, we suggest that digitally mediated pleasures, while widely consumed, still have a hint of the ‘fringe’ or ‘subversive’. As well as proposing a theoretical framework for understanding embodied digital pleasures, this panel also examines specific examples of digital pleasure from sex to drugs and sound. To date the research corpus has largely focused upon the micro-social interactions of digital intimacies. This emphasis on relational intimacy puts the body into the background of the digitally mediated encounter and limits the ways in which we can talk about embodiment, sex and pleasure online. Embodied pleasure is intrinsic to the human condition, and digital media is deeply embedded in contemporary life. How these intersect is a key piece of the puzzle of what it means to be human in contemporary society.
- Authors: Smith, Naomi , Davis, Jenny , Maddox, Alexia Maddox , Patella-Rey, P.
- Date: 2019
- Type: Text , Conference paper
- Relation: 20th Annual conference of the Association of Internet Researchers, Brisbane, Australia p. 18
- Full Text:
- Reviewed:
- Description: This panel explores digital pleasures that arise through the entanglement of bodies and digital technologies. Focusing on the digital structures and affordances that facilitate seeking, receiving and giving pleasure we analyse the ways in which intimacy is not only interactive, but also profoundly embodied. Haraway’s work in particular highlights the importance of taking seriously the nexus of human bodies and technologies and attending to the ways in which technologies not only deliver and mediate pleasure, but potentially expand upon our capacity to experience it. This panel explores how mediated practices engage the body as a site of pleasure and embodied affective intensity. Within this frame, we suggest that digitally mediated pleasures, while widely consumed, still have a hint of the ‘fringe’ or ‘subversive’. As well as proposing a theoretical framework for understanding embodied digital pleasures, this panel also examines specific examples of digital pleasure from sex to drugs and sound. To date the research corpus has largely focused upon the micro-social interactions of digital intimacies. This emphasis on relational intimacy puts the body into the background of the digitally mediated encounter and limits the ways in which we can talk about embodiment, sex and pleasure online. Embodied pleasure is intrinsic to the human condition, and digital media is deeply embedded in contemporary life. How these intersect is a key piece of the puzzle of what it means to be human in contemporary society.
Consensus clustering and supervised classification for profiling phishing emails in internet commerce security
- Dazeley, Richard, Yearwood, John, Kang, Byeongho, Kelarev, Andrei
- Authors: Dazeley, Richard , Yearwood, John , Kang, Byeongho , Kelarev, Andrei
- Date: 2010
- Type: Text , Conference paper
- Relation: Paper presented at 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services, PKAW 2010 Vol. 6232 LNAI, p. 235-246
- Full Text:
- Reviewed:
- Description: This article investigates internet commerce security applications of a novel combined method, which uses unsupervised consensus clustering algorithms in combination with supervised classification methods. First, a variety of independent clustering algorithms are applied to a randomized sample of data. Second, several consensus functions and sophisticated algorithms are used to combine these independent clusterings into one final consensus clustering. Third, the consensus clustering of the randomized sample is used as a training set to train several fast supervised classification algorithms. Finally, these fast classification algorithms are used to classify the whole large data set. One of the advantages of this approach is in its ability to facilitate the inclusion of contributions from domain experts in order to adjust the training set created by consensus clustering. We apply this approach to profiling phishing emails selected from a very large data set supplied by the industry partners of the Centre for Informatics and Applied Optimization. Our experiments compare the performance of several classification algorithms incorporated in this scheme. © 2010 Springer-Verlag Berlin Heidelberg.
- Authors: Dazeley, Richard , Yearwood, John , Kang, Byeongho , Kelarev, Andrei
- Date: 2010
- Type: Text , Conference paper
- Relation: Paper presented at 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services, PKAW 2010 Vol. 6232 LNAI, p. 235-246
- Full Text:
- Reviewed:
- Description: This article investigates internet commerce security applications of a novel combined method, which uses unsupervised consensus clustering algorithms in combination with supervised classification methods. First, a variety of independent clustering algorithms are applied to a randomized sample of data. Second, several consensus functions and sophisticated algorithms are used to combine these independent clusterings into one final consensus clustering. Third, the consensus clustering of the randomized sample is used as a training set to train several fast supervised classification algorithms. Finally, these fast classification algorithms are used to classify the whole large data set. One of the advantages of this approach is in its ability to facilitate the inclusion of contributions from domain experts in order to adjust the training set created by consensus clustering. We apply this approach to profiling phishing emails selected from a very large data set supplied by the industry partners of the Centre for Informatics and Applied Optimization. Our experiments compare the performance of several classification algorithms incorporated in this scheme. © 2010 Springer-Verlag Berlin Heidelberg.
Internet pornography viewing preference as a risk factor for adolescent Internet addiction : The moderating role of classroom personality factors
- Alexandraki, Kyriaki, Stavropoulos, Vasileios, Burleigh, Tyrone, King, Daniel, Griffiths, Mark
- Authors: Alexandraki, Kyriaki , Stavropoulos, Vasileios , Burleigh, Tyrone , King, Daniel , Griffiths, Mark
- Date: 2018
- Type: Text , Journal article
- Relation: Journal of Behavioral Addictions Vol. 7, no. 2 (2018), p. 423-432
- Full Text:
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- Description: Background and aims: Adolescent Internet pornography viewing has been significantly increased in the last decade with research highlighting its association with Internet addiction (IA). However, there is little longitudinal data on this topic, particularly in relation to peer context effects. This study aimed to examine age- and context-related variations in the Internet pornography-IA association. Methods: A total of 648 adolescents, from 34 classrooms, were assessed at 16 years and then at 18 years to examine the effect of Internet pornography preference on IA in relation to the classroom context. IA was assessed using the Internet Addiction Test (Young, 1998), Internet pornography preference (over other Internet applications) was assessed with a binary (yes/no) question, and classroom introversion and openness to experience (OTE) with the synonymous subscales within the Five Factor Questionnaire (Asendorpf & Van Aken, 2003). Results: Three-level hierarchical linear models were calculated. Findings showed that viewing Internet pornography exacerbates the risk of IA over time, while classroom factors, such as the average level of OTE and introversion, differentially moderate this relationship. Discussion and conclusion: The study demonstrated that the contribution of Internet pornography preference (as an IA risk factor) might be increased in more extroverted classrooms and decreased in OTE classrooms.
- Authors: Alexandraki, Kyriaki , Stavropoulos, Vasileios , Burleigh, Tyrone , King, Daniel , Griffiths, Mark
- Date: 2018
- Type: Text , Journal article
- Relation: Journal of Behavioral Addictions Vol. 7, no. 2 (2018), p. 423-432
- Full Text:
- Reviewed:
- Description: Background and aims: Adolescent Internet pornography viewing has been significantly increased in the last decade with research highlighting its association with Internet addiction (IA). However, there is little longitudinal data on this topic, particularly in relation to peer context effects. This study aimed to examine age- and context-related variations in the Internet pornography-IA association. Methods: A total of 648 adolescents, from 34 classrooms, were assessed at 16 years and then at 18 years to examine the effect of Internet pornography preference on IA in relation to the classroom context. IA was assessed using the Internet Addiction Test (Young, 1998), Internet pornography preference (over other Internet applications) was assessed with a binary (yes/no) question, and classroom introversion and openness to experience (OTE) with the synonymous subscales within the Five Factor Questionnaire (Asendorpf & Van Aken, 2003). Results: Three-level hierarchical linear models were calculated. Findings showed that viewing Internet pornography exacerbates the risk of IA over time, while classroom factors, such as the average level of OTE and introversion, differentially moderate this relationship. Discussion and conclusion: The study demonstrated that the contribution of Internet pornography preference (as an IA risk factor) might be increased in more extroverted classrooms and decreased in OTE classrooms.
Virtual SME networks : Pathways towards online collaboration
- Authors: Braun, Patrice
- Date: 2003
- Type: Text , Journal article
- Relation: New Business Ideas and Trends Vol. 1, no. 2 (2003), p. 10-20
- Full Text:
- Reviewed:
- Description: The Internet and portability of technologies are changing the way we are doing business. Electronic business and commerce (e-commerce) platforms purportedly provide companies of all sizes with opportunities for economies of scale, process efficiencies and mechanisms for electronic advertising, retailing, trading and transaction. Australian small and medium size enterprises (SME) have, however, been reluctant to embrace information and communication technologies (ICT) and e-commerce because they fail to see the value of such tools. While SME are still coming to terms with core ICT adoption and strategic e-commerce directions, individual SME connectivity and e-commerce adoption inertia has been upstaged by collaborative network trends. Competitive advantage is becoming embedded in collaboration, networking and (virtual) clustering. This paper discusses the pathways towards online collaboration that address both industry or network needs and the capabilities, needs and attitudes of individual SME.
- Description: C1
- Description: 2003000610
- Authors: Braun, Patrice
- Date: 2003
- Type: Text , Journal article
- Relation: New Business Ideas and Trends Vol. 1, no. 2 (2003), p. 10-20
- Full Text:
- Reviewed:
- Description: The Internet and portability of technologies are changing the way we are doing business. Electronic business and commerce (e-commerce) platforms purportedly provide companies of all sizes with opportunities for economies of scale, process efficiencies and mechanisms for electronic advertising, retailing, trading and transaction. Australian small and medium size enterprises (SME) have, however, been reluctant to embrace information and communication technologies (ICT) and e-commerce because they fail to see the value of such tools. While SME are still coming to terms with core ICT adoption and strategic e-commerce directions, individual SME connectivity and e-commerce adoption inertia has been upstaged by collaborative network trends. Competitive advantage is becoming embedded in collaboration, networking and (virtual) clustering. This paper discusses the pathways towards online collaboration that address both industry or network needs and the capabilities, needs and attitudes of individual SME.
- Description: C1
- Description: 2003000610
Illicit image detection : An MRF model based stochastic approach
- Islam, Mofakharul, Watters, Paul, Yearwood, John, Hussain, Mazher, Swarna, Lubaba
- Authors: Islam, Mofakharul , Watters, Paul , Yearwood, John , Hussain, Mazher , Swarna, Lubaba
- Date: 2013
- Type: Text , Book chapter
- Relation: Innovations and Advances in Computer, Information, Systems Sciences, and Engineering p. 467-479
- Full Text:
- Reviewed:
- Description: The steady growth of the Internet, sophisticated digital image processing technology, the cheap availability of storage devices and surfer's ever-increasing interest on images have been contributing to make the Internet an unprecedented large image library. As a result, The Internet quickly became the principal medium for the distribution of pornographic content favouring pornography to become a drug of the millennium. With the arrival of GPRS mobile telephone technology, and with the large scale arrival of the 3G networks, along with the cheap availability of latest mobile sets and a variety of forms of wireless connections, the internet has already gone to mobile, driving us toward a new degree of complexity. In this paper, we propose a stochastic model based novel approach to investigate and implement a pornography detection technique towards a framework for automated detection of pornography based on contextual constraints that are representatives of actual pornographic activity. Compared to the results published in recent works, our proposed approach yields the highest accuracy in detection. © 2013 Springer Science+Business Media.
- Authors: Islam, Mofakharul , Watters, Paul , Yearwood, John , Hussain, Mazher , Swarna, Lubaba
- Date: 2013
- Type: Text , Book chapter
- Relation: Innovations and Advances in Computer, Information, Systems Sciences, and Engineering p. 467-479
- Full Text:
- Reviewed:
- Description: The steady growth of the Internet, sophisticated digital image processing technology, the cheap availability of storage devices and surfer's ever-increasing interest on images have been contributing to make the Internet an unprecedented large image library. As a result, The Internet quickly became the principal medium for the distribution of pornographic content favouring pornography to become a drug of the millennium. With the arrival of GPRS mobile telephone technology, and with the large scale arrival of the 3G networks, along with the cheap availability of latest mobile sets and a variety of forms of wireless connections, the internet has already gone to mobile, driving us toward a new degree of complexity. In this paper, we propose a stochastic model based novel approach to investigate and implement a pornography detection technique towards a framework for automated detection of pornography based on contextual constraints that are representatives of actual pornographic activity. Compared to the results published in recent works, our proposed approach yields the highest accuracy in detection. © 2013 Springer Science+Business Media.
An Internet-based guided self-help intervention for panic symptoms: Randomized controlled trial
- Van Ballegooijen, Wouter, Riper, Heleen, Klein, Britt, Ebert, David, Kramer, Jeannet, Meulenbeek, Peter, Cuijpers, Pim
- Authors: Van Ballegooijen, Wouter , Riper, Heleen , Klein, Britt , Ebert, David , Kramer, Jeannet , Meulenbeek, Peter , Cuijpers, Pim
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of Medical Internet Research Vol. 15, no. 7 (2013), p.
- Full Text:
- Reviewed:
- Description: Background: Internet-based guided self-help is efficacious for panic disorder, but it is not known whether such treatment is effective for milder panic symptoms as well. Objective: To evaluate the effectiveness of Don't Panic Online, an Internet-based self-help course for mild panic symptoms, which is based on cognitive behavioral principles and includes guidance by email. Methods: A pragmatic randomized controlled trial was conducted. Participants (N=126) were recruited from the general population and randomized to either the intervention group or to a waiting-list control group. Inclusion criteria were a Panic Disorder Severity Scale-Self Report (PDSS-SR) score between 5-15 and no suicide risk. Panic symptom severity was the primary outcome measure; secondary outcome measures were anxiety and depressive symptom severity. Measurements were conducted online and took place at baseline and 12 weeks after baseline (T1). At baseline, diagnoses were obtained by telephone interviews. Results: Analyses of covariance (intention-to-treat) showed no significant differences in panic symptom reduction between groups. Completers-only analyses revealed a moderate effect size in favor of the intervention group (Cohen's d=0.73, P=.01). Only 27% of the intervention group finished lesson 4 or more (out of 6). Nonresponse at T1 was high for the total sample (42.1%). Diagnostic interviews showed that many participants suffered from comorbid depression and anxiety disorders. Conclusions: The Internet-based guided self-help course appears to be ineffective for individuals with panic symptoms. However, intervention completers did derive clinical benefits from the intervention. © Wouter van Ballegooijen, Heleen Riper, Britt Klein, David Daniel Ebert, Jeannet Kramer, Peter Meulenbeek, Pim Cuijpers.
- Description: C1
- Authors: Van Ballegooijen, Wouter , Riper, Heleen , Klein, Britt , Ebert, David , Kramer, Jeannet , Meulenbeek, Peter , Cuijpers, Pim
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of Medical Internet Research Vol. 15, no. 7 (2013), p.
- Full Text:
- Reviewed:
- Description: Background: Internet-based guided self-help is efficacious for panic disorder, but it is not known whether such treatment is effective for milder panic symptoms as well. Objective: To evaluate the effectiveness of Don't Panic Online, an Internet-based self-help course for mild panic symptoms, which is based on cognitive behavioral principles and includes guidance by email. Methods: A pragmatic randomized controlled trial was conducted. Participants (N=126) were recruited from the general population and randomized to either the intervention group or to a waiting-list control group. Inclusion criteria were a Panic Disorder Severity Scale-Self Report (PDSS-SR) score between 5-15 and no suicide risk. Panic symptom severity was the primary outcome measure; secondary outcome measures were anxiety and depressive symptom severity. Measurements were conducted online and took place at baseline and 12 weeks after baseline (T1). At baseline, diagnoses were obtained by telephone interviews. Results: Analyses of covariance (intention-to-treat) showed no significant differences in panic symptom reduction between groups. Completers-only analyses revealed a moderate effect size in favor of the intervention group (Cohen's d=0.73, P=.01). Only 27% of the intervention group finished lesson 4 or more (out of 6). Nonresponse at T1 was high for the total sample (42.1%). Diagnostic interviews showed that many participants suffered from comorbid depression and anxiety disorders. Conclusions: The Internet-based guided self-help course appears to be ineffective for individuals with panic symptoms. However, intervention completers did derive clinical benefits from the intervention. © Wouter van Ballegooijen, Heleen Riper, Britt Klein, David Daniel Ebert, Jeannet Kramer, Peter Meulenbeek, Pim Cuijpers.
- Description: C1
Classification of HTML Documents
- Xie, Wei
- Authors: Xie, Wei
- Date: 2006
- Type: Text , Thesis , PhD
- Full Text:
- Description: Text Classification is the task of mapping a document into one or more classes based on the presence or absence of words (or features) in the document. It is intensively being studied and different classification techniques and algorithms have been developed. This thesis focuses on classification of online documents that has become more critical with the development of World Wide Web. The WWW vastly increases the availability of on-line documents in digital format and has highlighted the need to classify them. From this background, we have noted the emergence of “automatic Web Classification”. These mainly concentrate on classifying HTML-like documents into classes or categories by not only using the methods that are inherited from the traditional Text Classification process, but also utilizing the extra information provided only by Web pages. Our work is based on the fact that, Web documents, contain not only ordinary features (words) but also extra information, such as meta-data and hyperlinks that can be used to advantage the classification process. The aim of this research is to study various ways of using the extra information, in particularly, hyperlink information provided by HTML-documents (Web pages). The merit of the approach, developed in this thesis, is its simplicity, compared with existing approaches. We present different approaches of using hyperlink information to improve the effectiveness of web classification. Unlike other work in this area, we will only use the mappings between linked documents and their own class or classes. In this case, we only need to add a few features called linked-class features into the datasets, and then apply classifiers on them for classification. In the numerical experiments we adopted two wellknown Text Classification algorithms, Support Vector Machines and BoosTexter. The results obtained show that classification accuracy can be improved by using mixtures of ordinary and linked-class features. Moreover, out-links usually work better than in-links in classification. We also analyse and discuss the reasons behind this improvement.
- Description: Master of Computing
- Authors: Xie, Wei
- Date: 2006
- Type: Text , Thesis , PhD
- Full Text:
- Description: Text Classification is the task of mapping a document into one or more classes based on the presence or absence of words (or features) in the document. It is intensively being studied and different classification techniques and algorithms have been developed. This thesis focuses on classification of online documents that has become more critical with the development of World Wide Web. The WWW vastly increases the availability of on-line documents in digital format and has highlighted the need to classify them. From this background, we have noted the emergence of “automatic Web Classification”. These mainly concentrate on classifying HTML-like documents into classes or categories by not only using the methods that are inherited from the traditional Text Classification process, but also utilizing the extra information provided only by Web pages. Our work is based on the fact that, Web documents, contain not only ordinary features (words) but also extra information, such as meta-data and hyperlinks that can be used to advantage the classification process. The aim of this research is to study various ways of using the extra information, in particularly, hyperlink information provided by HTML-documents (Web pages). The merit of the approach, developed in this thesis, is its simplicity, compared with existing approaches. We present different approaches of using hyperlink information to improve the effectiveness of web classification. Unlike other work in this area, we will only use the mappings between linked documents and their own class or classes. In this case, we only need to add a few features called linked-class features into the datasets, and then apply classifiers on them for classification. In the numerical experiments we adopted two wellknown Text Classification algorithms, Support Vector Machines and BoosTexter. The results obtained show that classification accuracy can be improved by using mixtures of ordinary and linked-class features. Moreover, out-links usually work better than in-links in classification. We also analyse and discuss the reasons behind this improvement.
- Description: Master of Computing
Trolling, the dark tetrad, and the four-facet spectrum of narcissism
- Furian, Lauren, March, Evita
- Authors: Furian, Lauren , March, Evita
- Date: 2023
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 208, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Trolling is an antisocial online behavior that involves the aggressive provocation of others by causing conflict for the “troll's” own personal amusement. In the current study, we explore the utility of the facets of narcissism (agentic, communal, antagonistic, and neurotic) to predict perpetration of trolling, over and above the variance explained by gender, psychopathy, and sadism. We hypothesised that men would troll more than women, that psychopathy, sadism, and antagonistic narcissism would be positive predictors, and agentic, communal, and neurotic narcissism would be negative predictors. Participants (N = 444; 66 % women, 34 % men; Mage = 34.95, SD = 14.84) were recruited via social media (i.e., Facebook) and Cloud Research to complete an anonymous, online questionnaire that comprised measures of personality and trolling behaviors. Results partially supported the hypothesis, with men, people with high psychopathy, and people with high sadism perpetrating more trolling. Unexpectedly, people with high communal narcissism and neurotic narcissism perpetrated more trolling. Antagonistic narcissism and agentic narcissism were nonsignificant predictors. These findings implicate the utility of exploring the facets of narcissism and provide important information regarding the psychological profile of trolls. © 2023 The Authors
- Authors: Furian, Lauren , March, Evita
- Date: 2023
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 208, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Trolling is an antisocial online behavior that involves the aggressive provocation of others by causing conflict for the “troll's” own personal amusement. In the current study, we explore the utility of the facets of narcissism (agentic, communal, antagonistic, and neurotic) to predict perpetration of trolling, over and above the variance explained by gender, psychopathy, and sadism. We hypothesised that men would troll more than women, that psychopathy, sadism, and antagonistic narcissism would be positive predictors, and agentic, communal, and neurotic narcissism would be negative predictors. Participants (N = 444; 66 % women, 34 % men; Mage = 34.95, SD = 14.84) were recruited via social media (i.e., Facebook) and Cloud Research to complete an anonymous, online questionnaire that comprised measures of personality and trolling behaviors. Results partially supported the hypothesis, with men, people with high psychopathy, and people with high sadism perpetrating more trolling. Unexpectedly, people with high communal narcissism and neurotic narcissism perpetrated more trolling. Antagonistic narcissism and agentic narcissism were nonsignificant predictors. These findings implicate the utility of exploring the facets of narcissism and provide important information regarding the psychological profile of trolls. © 2023 The Authors
Authorship attribution for Twitter in 140 characters or less
- Layton, Robert, Watters, Paul, Dazeley, Richard
- Authors: Layton, Robert , Watters, Paul , Dazeley, Richard
- Date: 2010
- Type: Text , Conference paper
- Relation: Paper presented at - 2nd Cybercrime and Trustworthy Computing Workshop, CTC 2010 p. 1-8
- Full Text:
- Reviewed:
- Description: Authorship attribution is a growing field, moving from beginnings in linguistics to recent advances in text mining. Through this change came an increase in the capability of authorship attribution methods both in their accuracy and the ability to consider more difficult problems. Research into authorship attribution in the 19th century considered it difficult to determine the authorship of a document of fewer than 1000 words. By the 1990s this values had decreased to less than 500 words and in the early 21 st century it was considered possible to determine the authorship of a document in 250 words. The need for this ever decreasing limit is exemplified by the trend towards many shorter communications rather than fewer longer communications, such as the move from traditional multi-page handwritten letters to shorter, more focused emails. This trend has also been shown in online crime, where many attacks such as phishing or bullying are performed using very concise language. Cybercrime messages have long been hosted on Internet Relay Chats (IRCs) which have allowed members to hide behind screen names and connect anonymously. More recently, Twitter and other short message based web services have been used as a hosting ground for online crimes. This paper presents some evaluations of current techniques and identifies some new preprocessing methods that can be used to enable authorship to be determined at rates significantly better than chance for documents of 140 characters or less, a format popularised by the micro-blogging website Twitter1. We show that the SCAP methodology performs extremely well on twitter messages and even with restrictions on the types of information allowed, such as the recipient of directed messages, still perform significantly higher than chance. Further to this, we show that 120 tweets per user is an important threshold, at which point adding more tweets per user gives a small but non-significant increase in accuracy. © 2010 IEEE.
- Authors: Layton, Robert , Watters, Paul , Dazeley, Richard
- Date: 2010
- Type: Text , Conference paper
- Relation: Paper presented at - 2nd Cybercrime and Trustworthy Computing Workshop, CTC 2010 p. 1-8
- Full Text:
- Reviewed:
- Description: Authorship attribution is a growing field, moving from beginnings in linguistics to recent advances in text mining. Through this change came an increase in the capability of authorship attribution methods both in their accuracy and the ability to consider more difficult problems. Research into authorship attribution in the 19th century considered it difficult to determine the authorship of a document of fewer than 1000 words. By the 1990s this values had decreased to less than 500 words and in the early 21 st century it was considered possible to determine the authorship of a document in 250 words. The need for this ever decreasing limit is exemplified by the trend towards many shorter communications rather than fewer longer communications, such as the move from traditional multi-page handwritten letters to shorter, more focused emails. This trend has also been shown in online crime, where many attacks such as phishing or bullying are performed using very concise language. Cybercrime messages have long been hosted on Internet Relay Chats (IRCs) which have allowed members to hide behind screen names and connect anonymously. More recently, Twitter and other short message based web services have been used as a hosting ground for online crimes. This paper presents some evaluations of current techniques and identifies some new preprocessing methods that can be used to enable authorship to be determined at rates significantly better than chance for documents of 140 characters or less, a format popularised by the micro-blogging website Twitter1. We show that the SCAP methodology performs extremely well on twitter messages and even with restrictions on the types of information allowed, such as the recipient of directed messages, still perform significantly higher than chance. Further to this, we show that 120 tweets per user is an important threshold, at which point adding more tweets per user gives a small but non-significant increase in accuracy. © 2010 IEEE.
Using links to aid web classification
- Xie, Wei, Mammadov, Musa, Yearwood, John
- Authors: Xie, Wei , Mammadov, Musa , Yearwood, John
- Date: 2007
- Type: Text , Conference paper
- Relation: Paper presented at 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007, Melbourne, Victoria : 11th-13th July 2007 p. 981-986
- Full Text:
- Description: In this paper, we will present a new approach of using link information to improve the accuracy and efficiency of web classification. However, different from others, we only use the mappings between linked documents and their own class or classes. In this case, we only need to add a few features called linked-class features into the datasets. We apply SVM and BoosTexter for classification. We show that the classification accuracy can be improved based on mixtures of ordinary word features and out-linked-class features. We analyze and discuss the reason of this improvement.
- Description: 2003005438
- Authors: Xie, Wei , Mammadov, Musa , Yearwood, John
- Date: 2007
- Type: Text , Conference paper
- Relation: Paper presented at 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007, Melbourne, Victoria : 11th-13th July 2007 p. 981-986
- Full Text:
- Description: In this paper, we will present a new approach of using link information to improve the accuracy and efficiency of web classification. However, different from others, we only use the mappings between linked documents and their own class or classes. In this case, we only need to add a few features called linked-class features into the datasets. We apply SVM and BoosTexter for classification. We show that the classification accuracy can be improved based on mixtures of ordinary word features and out-linked-class features. We analyze and discuss the reason of this improvement.
- Description: 2003005438
Collecting health and exposure data in Australian olympic combat sports : Feasibility study utilizing an electronic system
- Bromley, Sally, Drew, Michael, Talpey, Scott, McIntosh, Andrew, Finch, Caroline
- Authors: Bromley, Sally , Drew, Michael , Talpey, Scott , McIntosh, Andrew , Finch, Caroline
- Date: 2018
- Type: Text , Journal article
- Relation: Journal of Medical Internet Research Vol. 20, no. 10 (2018), p. 1-11
- Full Text:
- Reviewed:
- Description: Background: Electronic methods are increasingly being used to manage health-related data among sporting populations. Collection of such data permits the analysis of injury and illness trends, improves early detection of injuries and illnesses, collectively referred to as health problems, and provides evidence to inform prevention strategies. The Athlete Management System (AMS) has been employed across a range of sports to monitor health. Australian combat athletes train across the country without dedicated national medical or sports science teams to monitor and advocate for their health. Employing a Web-based system, such as the AMS, May provide an avenue to increase the visibility of health problems experienced by combat athletes and deliver key information to stakeholders detailing where prevention programs May be targeted. Objective: The objectives of this paper are to (1) report on the feasibility of utilizing the AMS to collect longitudinal injury and illness data of combat sports athletes and (2) describe the type, location, severity, and recurrence of injuries and illnesses that the cohort of athletes experience across a 12-week period. Methods: We invited 26 elite and developing athletes from 4 Olympic combat sports (boxing, judo, taekwondo, and wrestling) to participate in this study. Engagement with the AMS was measured, and collected health problems (injuries or illnesses) were coded using the Orchard Sports Injury Classification System (version 10.1) and International Classification of Primary Care (version 2). Results: Despite >160 contacts, athlete engagement with online tools was poor, with only 13% compliance across the 12-week period. No taekwondo or wrestling athletes were compliant. Despite low overall engagement, a large number of injuries or illness were recorded across 11 athletes who entered data—22 unique injuries, 8 unique illnesses, 30 recurrent injuries, and 2 recurrent illnesses. The most frequent injuries were to the knee in boxing (n=41) and thigh in judo (n=9). In this cohort, judo players experienced more severe, but less frequent, injuries than boxers, yet judo players sustained more illnesses than boxers. In 97.0% (126/130) of cases, athletes in this cohort continued to train irrespective of their health problems. Conclusions: Among athletes who reported injuries, many reported multiple conditions, indicating a need for health monitoring in Australian combat sports. A number of factors May have influenced engagement with the AMS, including access to the internet, the design of the system, coach views on the system, previous experiences with the system, and the existing culture within Australian combat sports. To increase engagement, there May be a requirement for sports staff to provide relevant feedback on data entered into the system. Until the Barriers are addressed, it is not feasible to implement the system in its current form across a larger cohort of combat athletes.
- Authors: Bromley, Sally , Drew, Michael , Talpey, Scott , McIntosh, Andrew , Finch, Caroline
- Date: 2018
- Type: Text , Journal article
- Relation: Journal of Medical Internet Research Vol. 20, no. 10 (2018), p. 1-11
- Full Text:
- Reviewed:
- Description: Background: Electronic methods are increasingly being used to manage health-related data among sporting populations. Collection of such data permits the analysis of injury and illness trends, improves early detection of injuries and illnesses, collectively referred to as health problems, and provides evidence to inform prevention strategies. The Athlete Management System (AMS) has been employed across a range of sports to monitor health. Australian combat athletes train across the country without dedicated national medical or sports science teams to monitor and advocate for their health. Employing a Web-based system, such as the AMS, May provide an avenue to increase the visibility of health problems experienced by combat athletes and deliver key information to stakeholders detailing where prevention programs May be targeted. Objective: The objectives of this paper are to (1) report on the feasibility of utilizing the AMS to collect longitudinal injury and illness data of combat sports athletes and (2) describe the type, location, severity, and recurrence of injuries and illnesses that the cohort of athletes experience across a 12-week period. Methods: We invited 26 elite and developing athletes from 4 Olympic combat sports (boxing, judo, taekwondo, and wrestling) to participate in this study. Engagement with the AMS was measured, and collected health problems (injuries or illnesses) were coded using the Orchard Sports Injury Classification System (version 10.1) and International Classification of Primary Care (version 2). Results: Despite >160 contacts, athlete engagement with online tools was poor, with only 13% compliance across the 12-week period. No taekwondo or wrestling athletes were compliant. Despite low overall engagement, a large number of injuries or illness were recorded across 11 athletes who entered data—22 unique injuries, 8 unique illnesses, 30 recurrent injuries, and 2 recurrent illnesses. The most frequent injuries were to the knee in boxing (n=41) and thigh in judo (n=9). In this cohort, judo players experienced more severe, but less frequent, injuries than boxers, yet judo players sustained more illnesses than boxers. In 97.0% (126/130) of cases, athletes in this cohort continued to train irrespective of their health problems. Conclusions: Among athletes who reported injuries, many reported multiple conditions, indicating a need for health monitoring in Australian combat sports. A number of factors May have influenced engagement with the AMS, including access to the internet, the design of the system, coach views on the system, previous experiences with the system, and the existing culture within Australian combat sports. To increase engagement, there May be a requirement for sports staff to provide relevant feedback on data entered into the system. Until the Barriers are addressed, it is not feasible to implement the system in its current form across a larger cohort of combat athletes.
Illicit image detection using erotic pose estimation based on kinematic constraints
- Islam, Mofakharul, Watters, Paul, Yearwood, John, Hussain, Mazher, Swarna, Lubaba
- Authors: Islam, Mofakharul , Watters, Paul , Yearwood, John , Hussain, Mazher , Swarna, Lubaba
- Date: 2013
- Type: Text , Book chapter
- Relation: Innovations and Advances in Computer, Information, Systems Sciences, and Engineering p. 481-495
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- Description: With the advent of the Internet along with sophisticated digital image processing technology, the Internet quickly became the principal medium for the distribution of pornographic content favouring pornography to become a drug of the millennium. With the advent of GPRS mobile telephone networks, and with the large scale arrival of the 3G networks, along with the cheap availability of latest mobile sets and a variety of forms of wireless connections, the internet has already gone to mobile, drives us toward a new degree of complexity. The detection of pornography remains an important and significant research problem, since there is great potential to minimize harm to the community. In this paper, we propose a novel approach to investigate and implement a pornography detection technique towards a framework for automated detection of pornography based on most commonly found erotic poses. Compared to the results published in recent works, our proposed approach yields the highest accuracy in recognition. © 2013 Springer Science+Business Media.
- Authors: Islam, Mofakharul , Watters, Paul , Yearwood, John , Hussain, Mazher , Swarna, Lubaba
- Date: 2013
- Type: Text , Book chapter
- Relation: Innovations and Advances in Computer, Information, Systems Sciences, and Engineering p. 481-495
- Full Text:
- Reviewed:
- Description: With the advent of the Internet along with sophisticated digital image processing technology, the Internet quickly became the principal medium for the distribution of pornographic content favouring pornography to become a drug of the millennium. With the advent of GPRS mobile telephone networks, and with the large scale arrival of the 3G networks, along with the cheap availability of latest mobile sets and a variety of forms of wireless connections, the internet has already gone to mobile, drives us toward a new degree of complexity. The detection of pornography remains an important and significant research problem, since there is great potential to minimize harm to the community. In this paper, we propose a novel approach to investigate and implement a pornography detection technique towards a framework for automated detection of pornography based on most commonly found erotic poses. Compared to the results published in recent works, our proposed approach yields the highest accuracy in recognition. © 2013 Springer Science+Business Media.