Background: The content of suicide-specific social media posts may impact suicide rates, and putatively harmful and/or protective content may vary by the author's influence. Aims: This study sought to characterize how suicide-related Twitter content differs according to user influence. Method: Suicide-related tweets from July 1, 2015, to June 1, 2016, geolocated to Toronto, Canada, were collected and randomly selected for coding (n = 2,250) across low, medium, or high user influence levels (based on the number of followers, tweets, retweets, and posting frequency). Logistic regression was used to identify differences by user influence for various content variables. Results: Low- and medium-influence users typically tweeted about personal experiences with suicide and associations with mental health and shared morbid humor/flippant tweets. High-influence users tended to tweet about suicide clusters, suicide in youth, older adults, indigenous people, suicide attempts, and specific methods. Tweets across influence levels predominantly focused on suicide deaths, and few described suicidal ideation or included helpful content. Limitations: Social media data were from a single location and epoch. Conclusion: This study demonstrated more problematic content vis-à-vis safe suicide messaging in tweets by high-influence users and a paucity of protective content across all users. These results highlight the need for further research and potential intervention.

中文翻译：

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根据用户影响力，与自杀相关的 Twitter 内容存在差异。

背景：针对自杀的社交媒体帖子的内容可能会影响自杀率，并且假定的有害和/或保护性内容可能会因作者的影响而异。目的：本研究试图描述与自杀相关的 Twitter 内容如何根据​​用户影响力而有所不同。方法：收集 2015 年 7 月 1 日至 2016 年 6 月 1 日期间位于加拿大多伦多的与自杀相关的推文，并随机选择低、中或高用户影响力级别（基于关注者数量、推文、转发和发帖频率）。逻辑回归用于识别用户对各种内容变量的影响的差异。结果：中低影响力的用户通常会在推特上谈论个人自杀经历以及与心理健康的关联，并分享病态幽默/轻率的推文。高影响力用户倾向于发布有关自杀群、青少年自杀、老年人、原住民、自杀企图和具体方法的推文。各个影响力级别的推文主要关注自杀死亡，很少描述自杀意念或包含有用的内容。局限性：社交媒体数据来自单一位置和时代。结论：这项研究表明，与高影响力用户在推文中发布的安全自杀消息相比，内容存在更多问题，而且所有用户都缺乏保护性内容。这些结果凸显了进一步研究和潜在干预的必要性。