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社交媒体上的舆论操纵:新冠疫情期间推特机器人的社交网络分析。

Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic.

机构信息

School of Journalism and Communication, Jinan University, Guangzhou 510632, China.

出版信息

Int J Environ Res Public Health. 2022 Dec 7;19(24):16376. doi: 10.3390/ijerph192416376.

Abstract

Social media is not only an essential platform for the dissemination of public health-related information, but also an important channel for people to communicate during the COVID-19 pandemic. However, social bots can interfere with the social media topics that humans follow. We analyzed and visualized Twitter data during the prevalence of the Wuhan lab leak theory and discovered that 29% of the accounts participating in the discussion were social bots. We found evidence that social bots play an essential mediating role in communication networks. Although human accounts have a more direct influence on the information diffusion network, social bots have a more indirect influence. Unverified social bot accounts retweet more, and through multiple levels of diffusion, humans are vulnerable to messages manipulated by bots, driving the spread of unverified messages across social media. These findings show that limiting the use of social bots might be an effective method to minimize the spread of conspiracy theories and hate speech online.

摘要

社交媒体不仅是传播公共卫生相关信息的重要平台,也是人们在 COVID-19 大流行期间交流的重要渠道。然而,社交机器人可能会干扰人类关注的社交媒体话题。我们分析并可视化了 COVID-19 武汉实验室泄露理论流行期间的 Twitter 数据,发现参与讨论的账户中有 29%是社交机器人。我们发现证据表明,社交机器人在传播网络中起着至关重要的中介作用。尽管人类账户对信息扩散网络有更直接的影响,但社交机器人的影响更间接。未经证实的社交机器人账户转发的更多,并且通过多个级别的传播,人类容易受到机器人操纵的信息的影响,从而推动未经证实的信息在社交媒体上的传播。这些发现表明,限制社交机器人的使用可能是一种有效方法,可以最大限度地减少在线阴谋论和仇恨言论的传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6eb2/9779151/4d24d8cda4b2/ijerph-19-16376-g001.jpg

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