Analysing Meso and Macro conversation structures in an online suicide support forum
Sagar Joglekar, Sumithra Velupillai, Rina Dutta, Nishanth Sastry

TL;DR
This paper analyzes the structure of online conversations in a mental health support forum to identify patterns associated with social support, using metrics at macro and meso levels on Reddit's SuicideWatch subreddit.
Contribution
It introduces novel metrics for characterizing conversation structures at macro and meso levels and demonstrates their effectiveness in identifying social support signatures in online mental health discussions.
Findings
Certain macro and meso conversation structures are over-represented in SuicideWatch.
Structured conversation patterns correlate with social support signals.
The proposed metrics distinguish supportive from non-supportive threads.
Abstract
Platforms like Reddit and Twitter offer internet users an opportunity to talk about diverse issues, including those pertaining to physical and mental health. Some of these forums also function as a safe space for severely distressed mental health patients to get social support from peers. The online community platform Reddit's SuicideWatch is one example of an online forum dedicated specifically to people who suffer from suicidal thoughts, or who are concerned about people who might be at risk. It remains to be seen if these forums can be used to understand and model the nature of online social support, not least because of the noisy and informal nature of conversations. Moreover, understanding how a community of volunteering peers react to calls for help in cases of suicidal posts, would help to devise better tools for online mitigation of such episodes. In this paper, we propose an…
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Taxonomy
TopicsMental Health via Writing · Complex Network Analysis Techniques · Mental Health Research Topics
