社会化媒体中的最佳参与-多样性权衡
Optimal Engagement-Diversity Tradeoffs in Social Media
摘要：
众所周知，社交媒体平台可以在算法的帮助下优化用户参与度。人们普遍认为，这种做法会产生回音室\emdash用户主要接触到与自己相似的意见。在本文中，我们问回声室是否是高参与度的必然结果;我们在一个新的模型中解决这个问题。我们的主要理论结果建立了多样性约束下可实现的最大参与的界限，适当的参与和多样性的措施，因此，我们可以量化这两个目标之间的最坏情况下的权衡。我们的实证结果，基于Twitter的真实数据，图表的帕累托边界的多样性权衡。
英文摘要：
Social media platforms are known to optimize user engagement with the help of algorithms. It is widely understood that this practice gives rise to echo chambers\emdash users are mainly exposed to opinions that are similar to their own. In this paper, we ask whether echo chambers are an inevitable result of high engagement; we address this question in a novel model. Our main theoretical results establish bounds on the maximum engagement achievable under a diversity constraint, for suitable measures of engagement and diversity; we can therefore quantify the worst-case tradeoff between these two objectives. Our empirical results, based on real data from Twitter, chart the Pareto frontier of the engagement-diversity tradeoff.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
