Much recent research aims to identify evidence for Drug-Drug Interactions (DDI) and Adverse Drug reactions (ADR) from the biomedical scientific literature. In addition to this "Bibliome", the universe of social media provides a very promising source of large-scale data that can help identify DDI and ADR in ways that have not been hitherto possible. Given the large number of users, analysis of s...

We study detection of cyberbullying in photosharing networks, with an eye on developing earlywarning mechanisms for the prediction of posted images vulnerable to attacks. Given the overwhelming increase in media accompanying text in online social networks, we investigate use of posted images and captions for improved detection of bullying in response to shared content. We validate our approache...

Evidence linked exposure to internet appearance-related sites to weight dissatisfaction, drive for thinness, increased internalisation of thin ideals, and body surveillance with Facebook users having significantly higher scores on body image concern measures (Tiggemann & Miller, 2010, Tiggemann & Slater, 2013). This study explored the impacts of social media on the body image of young adults ag...

This study focuses on whether the activities of Instagram micro-influencers, who are currently very influential among MZ generation, in their 20s and 30s, play or work. Accordingly, a one-on-one semi-structured in-depth interview was conducted with seven influencers active as micro-influencers. In addition, we also looked at what kind efforts they making to continue micro-influencer stress expe...

Online image sharing in social media sites such as Facebook, Flickr, and Instagram can lead to unwanted disclosure and privacy violations, when privacy settings are used inappropriately. With the exponential increase in the number of images that are shared online, the development of effective and efficient prediction methods for image privacy settings are highly needed. In this study, we explor...