The observations suggest that effective modeling of the association between the two lines of topics can uncover helpful peer responses to online suicidal crises, notably providing the suggestion of professional help. Then, this study applied structural topic modeling to data collected from individuals with a history of suicidal crisis as a means to validate findings. It examined how the topics of user and peer posts were associated and how this information influenced the peer perceived helpfulness of the peer support. The study evaluated the method using data from Reddit r/SuicideWatch. The key advantages of this approach include: (i) modeling both the generative process of each type of the corpora (i.e., user posts and peer comments) and the associations between them, and (ii) using phrases, which are more informative and less ambiguous than words, in addition to words, to represent social media posts and topics. It introduces an approach that uses pairwise topic models to transform large corpora of discussion into associated topics of user and peer posts. To better understand the helpfulness of peer support occurring online, this study characterizes the content of both a user’s post and corresponding peer comments occurring on a social media platform and present an empirical example for comparison. Social media platforms have been serving users who are experiencing real-time suicidal crises with hopes of receiving peer support. Suicide is a serious public health problem however, suicides are preventable with timely, evidence-based interventions.
0 kommentar(er)
