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2021 journal original-research Proc Conf Empir Methods Nat Lang Process

It's quality and quantity: the effect of the amount of comments on online suicidal posts

Low DM, Zuromski KL, Kessler D, Ghosh SS, Nock M, Dempsey W

Identifiers and access

DOI
10.18653/v1/2021.cinlp-1.8
PubMed
35224567
PMC
PMC8880842
PDF
Open-access copy →

Key findings

Using propensity-score stratification on 21,274 first r/SuicideWatch posts and 1.6M follow-up posts, the authors find that receiving more comments increased — not decreased — the likelihood of users posting again; receiving only one comment lowered re-posting by ~14%, motivating systems that encourage more comment volume.

Abstract

Source: pubmed

Every day, individuals post suicide notes on social media asking for support, resources, and reasons to live. Some posts receive few comments while others receive many. While prior studies have analyzed whether specific responses are more or less helpful, it is not clear if the quantity of comments received is beneficial in reducing symptoms or in keeping the user engaged with the platform and hence with life. In the present study, we create a large dataset of users' first r/SuicideWatch (SW) posts from Reddit (N=21,274), collect the comments as well as the user's subsequent posts (N=1,615,699) to determine whether they post in SW again in the future. We use propensity score stratification, a causal inference method for observational data, and estimate whether the amount of comments -as a measure of social support- increases or decreases the likelihood of posting again on SW. One hypothesis is that receiving more comments may decrease the likelihood of the user posting in SW in the future, either by reducing symptoms or because comments from untrained peers may be harmful. On the contrary, we find that receiving more comments increases the likelihood a user will post in SW again. We discuss how receiving more comments is helpful, not by permanently relieving symptoms since users make another SW post and their second posts have similar mentions of suicidal ideation, but rather by reinforcing users to seek support and remain engaged with the platform. Furthermore, since receiving only 1 comment -the most common case- decreases the likelihood of posting again by 14% on average depending on the time window, it is important to develop systems that encourage more commenting.

Topics

  • mental-health-psychiatry
  • ml-nlp-knowledge

Associated projects

Lab authors

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