论文标题
中性机器人在社交媒体上调查政治偏见
Neutral bots probe political bias on social media
论文作者
论文摘要
试图遏制滥用和错误信息的社交媒体平台已被指控存在政治偏见。我们部署了中性社交机器人，他们开始在Twitter上关注不同的新闻来源，并跟踪它们以探测平台机制与用户交互的不同偏见。我们在新闻提要中没有发现强烈或一致的政治偏见的证据。尽管如此，美国Twitter用户暴露的新闻和信息在很大程度上取决于他们早期联系的政治倾向。保守账目的互动偏向右边，而自由账户则暴露于适度的内容，将他们的经验转移到政治中心。党派帐户，尤其是保守的帐户，倾向于收到更多的关注者，并关注更多的自动化帐户。保守的帐户还发现自己在密集的社区中，并暴露于更低的含义内容。
Social media platforms attempting to curb abuse and misinformation have been accused of political bias. We deploy neutral social bots who start following different news sources on Twitter, and track them to probe distinct biases emerging from platform mechanisms versus user interactions. We find no strong or consistent evidence of political bias in the news feed. Despite this, the news and information to which U.S. Twitter users are exposed depend strongly on the political leaning of their early connections. The interactions of conservative accounts are skewed toward the right, whereas liberal accounts are exposed to moderate content shifting their experience toward the political center. Partisan accounts, especially conservative ones, tend to receive more followers and follow more automated accounts. Conservative accounts also find themselves in denser communities and are exposed to more low-credibility content.
