Blumer Katy, Kleinberg Jon
Department of Computer Science, Cornell University, Ithaca, NY, USA.
Sci Rep. 2025 Jul 14;15(1):25369. doi: 10.1038/s41598-025-07086-3.
An increasing amount of attention has been devoted to the problem of "toxic" or antisocial behavior on social media. In this paper we analyze such behavior at very large scales: over a 14-year time span on nearly 500 million comments from Reddit and Wikipedia, grounded in two different proxies for toxicity. At the individual level, we analyze users' toxicity levels over the course of their time on the site, and find a striking reversal in trends: both Reddit and Wikipedia users tended to become less toxic over their life cycles on the site in the early (pre-2013) history of the site, but more toxic over their life cycles in the later (post-2013) history of the site. We also find that toxicity on Reddit and Wikipedia differ in a key way, with the most toxic behavior on Reddit exhibited in aggregate by the most active users, and the most toxic behavior on Wikipedia exhibited in aggregate by the least active users. Finally, we consider the toxicity of discussion around widely-shared pieces of content, and find that the trends for toxicity in discussion about content bear interesting similarities with the trends for toxicity in discussion by users.
社交媒体上“有毒”或反社会行为的问题已受到越来越多的关注。在本文中,我们在非常大的规模上分析此类行为:基于两种不同的毒性代理指标,对Reddit和维基百科上近5亿条评论进行了为期14年的分析。在个体层面,我们分析了用户在网站上的毒性水平随时间的变化情况,发现了一个惊人的趋势逆转:在网站早期(2013年之前)的历史中,Reddit和维基百科的用户在其生命周期内毒性都趋于降低,但在网站后期(2013年之后)的历史中,他们在生命周期内的毒性却增加了。我们还发现,Reddit和维基百科上的毒性在一个关键方面存在差异,Reddit上最具毒性的行为总体上是由最活跃的用户表现出来的,而维基百科上最具毒性的行为总体上是由最不活跃的用户表现出来的。最后,我们考虑了围绕广泛分享的内容展开的讨论的毒性,发现关于内容的讨论中的毒性趋势与用户讨论中的毒性趋势有着有趣的相似之处。