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.
翻译:试图遏制滥用和错误信息的社会媒体平台被指责为政治偏见。 我们部署中立的社会机器人,他们开始在Twitter上跟踪不同的新闻来源,并跟踪他们,以发现平台机制与用户互动之间的不同偏向。 我们没有发现在新闻反馈中政治偏向的有力或一致的证据。 尽管如此,美国Twitter用户所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。 保守账户的相互作用向右倾斜,而自由账户则暴露于温和的内容中向政治中心转移经验。 Partisan账户,特别是保守账户,往往接收更多的追随者并跟踪更多的自动账户。 保守账户也发现自己在更稠密的社区,并且暴露于更低廉的内容。