Multimodal classification research has been gaining popularity with new datasets in
domains such as satellite imagery, biometrics, and medicine. Prior research has shown the …

Content moderation research typically prioritizes representing and addressing challenges
for one group of stakeholders or communities in one type of context. While taking a focused …

What one may say on the internet is increasingly controlled by a mix of automated programs,
and decisions made by paid and volunteer human moderators. On the popular social media …

Online social platforms centered around content creators often allow comments on content,
where creators can then moderate the comments they receive. As creators can face …

Objective This study examined whether social media behaviors were associated with higher
odds of meeting criteria for an eating disorder and whether gender moderated these …

The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …

Mental state assessment by analysing user-generated content is a field that has recently
attracted considerable attention. Today, many people are increasingly utilising online social …

Previous work has found strong links between the choice of social media images and users'
emotions, demographics and personality traits. In this study, we examine which attributes of …

A growing body of research is combining social media data with machine learning to predict
mental health states of individuals. An implication of this research lies in informing evidence …

LGBTQ+ (lesbian, gay, bisexual, transgender, queer) individuals are at significantly higher
risk for mental health challenges than the general population. Social media and online …