Bias Misperceived: The Role of Partisanship and Misinformation in YouTube Comment Moderation
Bias Misperceived: The Role of Partisanship and Misinformation in YouTube Comment Moderation
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偏见被误解：党派之争和错误信息在 YouTube 评论审核中的作用
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Christo Wilson
中科院分区：
文献类型：
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作者：
Shan Jiang;Ronald E. Robertson;Christo Wilson
由于仇恨内容的传播，社交媒体平台一直是争议和审查的对象。为了解决这一问题，这些平台采用人工和算法相结合的流程来进行内容审核。然而，内容审核本身又导致平台受到更多关于政治偏见的指责。在这项研究中，我们调查了频道的党派倾向和视频虚假信息如何影响YouTube上评论被审核的可能性。通过对258个视频的84068条评论的数据集进行研究，我们发现，从相关性的角度来看，对右倾视频的评论受到更严格的审核，但在使用控制常见混杂因素（例如仇恨言论）的因果模型时，我们没有发现支持政治偏见说法的证据。此外，我们还发现，如果视频频道在意识形态上极端，如果视频内容是虚假的，如果评论是在事实核查之后发布的，那么评论就更有可能被审核。
Social media platforms have been the subject of controversy and scrutiny due to the spread of hateful content. To address this problem, the platforms implement content moderation using a mix of human and algorithmic processes. However, content moderation itself has lead to further accusations against the platforms of political bias. In this study, we investigate how channel partisanship and video misinformation affect the likelihood of comment moderation on YouTube. Using a dataset of 84,068 comments on 258 videos, we find that although comments on right-leaning videos are more heavily moderated from a correlational perspective, we find no evidence to support claims of political bias when using a causal model that controls for common confounders (e.g., hate speech). Additionally, we find that comments are more likely to be moderated if the video channel is ideologically extreme, if the video content is false, and if the comments were posted after a fact-check.
DOI：
10.1214/09-sts313
发表时间：
2010-02-01
期刊：
Statistical science : a review journal of the Institute of Mathematical Statistics
影响因子：
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作者：
Stuart EA
通讯作者：
Stuart EA