Description:
This research paper looks at the social implications of biometrics pertaining to the ethics of privacy and the ownership of individual biometric data, including how these issues can be resolved through the establishment of a Biometric Commission by introducing global standardised biometric uniformity and the guidelines that will ensure their technological foundations. Much of the distrust that engulfs society is due to the past performances and policy implementations that governments have initiated surrounding biometric technology and its miss use beyond the realms of individual identification for security purposes. There needs to be total transparency from governments and organisations that use biometric technology for security identification in how every individuals biometric data will be used, stored and the ethical standards provided in eliminating many of the implications that every society has towards on how their biometric data will be used.
Description:
Over the past decade, anti-vaccination rhetoric has become part of the mainstream discourse regarding the public health practice of childhood vaccination. These utilise social media to foster online spaces that strengthen and popularise anti-vaccination discourses. In this paper, we examine the characteristics of and the discourses present within six popular anti-vaccination Facebook pages. We examine these large-scale datasets using a range of methods, including social network analysis, gender prediction using historical census data, and generative statistical models for topic analysis (Latent Dirichletallocation). We find that present-day discourses centre around moral outrage and structural oppression by institutional government and the media, suggesting a strong logic of 'conspiracy-style' beliefs and thinking. Furthermore, anti-vaccination pages on Facebook reflect a highly 'feminised' movement the vast majority of participants are women. Although anti-vaccination networks on Facebook are large and global in scope, the comment activity sub-networks appear to be 'small world'. This suggests that social media may have a role in spreading anti-vaccination ideas and making the movement durable on a global scale.
Description:
This study empirically evaluates the effectiveness of different feature types for the classification of the first language of an author. In particular, it examines the utility of psycholinguistic features, extracted by the Linguistic Inquiry and Word Count (LIWC) tool, that have not previously been applied to the task of author profiling. As LIWC is a tool that has been developed in the psycholinguistic field rather than the computational linguistics field, it was hypothesized that it would be effective, both as a single type feature set because of its psycholinguistic basis, and in combination with other feature sets, because it should be sufficiently different to add insight rather than redundancy. It was found that LIWC features were competitive with previously used feature types in identifying the first language of an author, and that combined feature sets including LIWC features consistently showed better accuracy rates and average F measures than were achieved by the same feature sets without the LIWC features. As a secondary issue, this study also examined how effectively first language classification scaled up to a larger number of possible languages. It was found that the classification scheme scaled up effectively to the entire 16 language collection from the International Corpus of Learner English, when compared with results achieved on just 5 languages in previous research. 2012 ASIS&T.
Exploring ways in which social networkers contribute to online groups : A case study of one facebook group's discussion of australian broadcaster channel 9 during the 2010 winter olympic games