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Area of Science:

  • Social Media Research
  • Public Health
  • Mental Health Studies

Background:

  • Social media content on suicide may influence suicide rates.
  • Harmful or protective content may differ based on author influence.
  • Understanding user influence is key to analyzing suicide-related discourse.

Purpose of the Study:

  • To analyze how suicide-related Twitter content varies by user influence.
  • To identify differences in content shared by low, medium, and high-influence users.
  • To assess the nature of suicide discourse on social media.

Main Methods:

  • Collected suicide-related tweets from Toronto, Canada (July 2015-June 2016).
  • Coded 2,250 tweets across low, medium, and high user influence levels.
  • Utilized logistic regression to identify content differences by user influence.

Main Results:

  • Low/medium-influence users shared personal experiences, mental health links, and dark humor.
  • High-influence users focused on suicide clusters, youth, elderly, Indigenous populations, attempts, and methods.
  • Tweets predominantly discussed suicide deaths; suicidal ideation and helpful content were infrequent.

Conclusions:

  • High-influence users posted more problematic suicide content compared to safer messaging.
  • Protective suicide-related content was scarce across all user influence levels.
  • Findings underscore the need for further research and potential interventions for online suicide discourse.