The effectiveness of flagging content belonging to prominent individuals: The case of Donald Trump on Twitter
The effectiveness of flagging content belonging to prominent individuals: The case of Donald Trump on Twitter
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标记属于知名人士的内容的有效性：唐纳德·特朗普在 Twitter 上的案例
DOI：
10.1002/asi.24705
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发表时间：
2022
影响因子：
3.5
通讯作者：
Jie Yan
中科院分区：
文献类型：
--
作者：
Wallace Chipidza;Jie Yan
关于Twitter和Facebook等有影响力的社交媒体平台是否应审查美国和其他地方的著名个人令人反感的帖子，存在激烈的争论。暂定的中间立场是采用内容审核向社交媒体受众发出信号，某些帖子可能会通过标记机制包含令人反感的信息。现有研究主要检查了标记常规用户内容的效果。为了加上这一新兴文献流，我们研究了何时由著名人物产生的基础内容的效果。我们利用Twitter对前美国总统唐纳德·特朗普的推文作为我们的经验环境的节制活动，我们采用了三种机器学习算法来估计特朗普推文的效果。我们探讨了这些帖子是否被转发的初步证据或超过预期的。我们的结果表明，被标记的推文以高于预期的速率转发。我们的发现表明，社交媒体上著名个人的内容可能是无效甚至适得其反，无法遏制社交媒体公司认为令人反感的内容的传播。
There is vigorous debate as to whether influential social media platforms like Twitter and Facebook should censor objectionable posts by prominent individuals in the United States and elsewhere. A tentative middle ground is employing content moderation to signal to social media audiences that certain posts may contain objectionable information through the mechanism of flagging. Existing studies have mainly examined the effect of flagging regular users' content. To add to this emerging literature stream, we examine the effect of flagging when the underlying content is produced by a prominent individual. Leveraging Twitter's moderation activities on former U.S. President Donald Trump's tweets as our empirical setting, we employ three machine learning algorithms to estimate the effect of flagging Trump's tweets. We explore preliminary evidence as to whether these posts were retweeted less or more than expected. Our results indicate that the flagged tweets were retweeted at higher rates than expected. Our findings suggest that flagging content of prominent individuals on social media might be ineffective or even counterproductive in curbing the spread of content deemed objectionable by social media companies.
影响因子：
22.7
作者：
Pearl, Judea
通讯作者：
Pearl, Judea