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煽动仇恨者借助回声室效应来加剧仇恨言论的传播。

Hatemongers ride on echo chambers to escalate hate speech diffusion.

作者信息

Goel Vasu, Sahnan Dhruv, Dutta Subhabrata, Bandhakavi Anil, Chakraborty Tanmoy

机构信息

Department of Computer Science & Engineering, IIIT Delhi, 110020India.

Department of Electrical Engineering, IIT Delhi, 110016India.

出版信息

PNAS Nexus. 2023 Feb 8;2(3):pgad041. doi: 10.1093/pnasnexus/pgad041. eCollection 2023 Mar.

DOI:10.1093/pnasnexus/pgad041
PMID:36926221
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10011877/
Abstract

Recent years have witnessed a swelling rise of hateful and abusive content over online social networks. While detection and moderation of hate speech have been the early go-to countermeasures, the solution requires a deeper exploration of the dynamics of hate generation and propagation. We analyze more than 32 million posts from over 6.8 million users across three popular online social networks to investigate the interrelations between hateful behavior, information dissemination, and polarized organization mediated by echo chambers. We find that hatemongers play a more crucial role in governing the spread of information compared to singled-out hateful content. This observation holds for both the growth of information cascades as well as the conglomeration of hateful actors. Dissection of the core-wise distribution of these networks points towards the fact that hateful users acquire a more well-connected position in the social network and often flock together to build up information cascades. We observe that this cohesion is far from mere organized behavior; instead, in these networks, hatemongers dominate the echo chambers-groups of users actively align themselves to specific ideological positions. The observed dominance of hateful users to inflate information cascades is primarily via user interactions amplified within these echo chambers. We conclude our study with a cautionary note that popularity-based recommendation of content is susceptible to be exploited by hatemongers given their potential to escalate content popularity via echo-chambered interactions.

摘要

近年来,在线社交网络上仇恨性和辱骂性内容激增。虽然检测和审核仇恨言论一直是早期的应对措施,但解决方案需要更深入地探索仇恨产生和传播的动态过程。我们分析了来自三个热门在线社交网络的680多万用户的3200多万条帖子,以研究仇恨行为、信息传播以及由回音室介导的两极分化组织之间的相互关系。我们发现,与单个仇恨性内容相比,煽动仇恨者在控制信息传播方面发挥着更关键的作用。这一观察结果在信息级联的增长以及仇恨行为者的聚集方面均成立。对这些网络的核心分布进行剖析表明,仇恨性用户在社交网络中获得了联系更紧密的位置,并且经常聚集在一起形成信息级联。我们观察到这种凝聚力远非仅仅是有组织行为;相反,在这些网络中,煽动仇恨者主导着回音室——用户群体积极地使自己与特定的意识形态立场保持一致。观察到的仇恨性用户主导信息级联的现象主要是通过在这些回音室内放大的用户互动实现的。我们在研究结尾提出警示,鉴于仇恨性用户有能力通过回音室互动提升内容热度,基于热度的内容推荐很容易被他们利用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8af/10011877/a104df171cbd/pgad041f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8af/10011877/dcd7e86114e3/pgad041f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8af/10011877/21367c266674/pgad041f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8af/10011877/c79327bfbf2e/pgad041f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8af/10011877/a104df171cbd/pgad041f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8af/10011877/dcd7e86114e3/pgad041f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8af/10011877/21367c266674/pgad041f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8af/10011877/c79327bfbf2e/pgad041f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8af/10011877/a104df171cbd/pgad041f4.jpg

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本文引用的文献

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Troll and divide: the language of online polarization.挑拨离间:网络两极分化的语言。
PNAS Nexus. 2022 Mar 10;1(1):pgac019. doi: 10.1093/pnasnexus/pgac019. eCollection 2022 Mar.
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Dynamics of online hate and misinformation.网络仇恨与错误信息的动态
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