论文标题
具有使命的推荐人：评估新闻社会的多样性
Recommenders with a mission: assessing diversity in newsrecommendations
论文作者
论文摘要
新闻推荐人可以帮助用户找到相关的在线内容，并有可能在民主社会中扮演至关重要的角色，从而导致公民对最重要的信息的稀缺关注。同时，最近对所谓过滤气泡，错误信息和选择性暴露的担忧是这些数字新闻推荐人的破坏性潜力的征兆。推荐系统可以制造或破坏过滤气泡，因此可以使创建更封闭或更开放的互联网有助于。当前评估推荐系统的方法通常专注于衡量用户点击和短期参与度的增加，而不是衡量用户对各种和重要信息的长期兴趣。 本文旨在弥合多样性规范概念，植根于民主理论和评估推荐系统所需的定量指标之间的差距。我们提出了一组基于社会科学对多样性解释的指标，并提出了实践实施的方法。
News recommenders help users to find relevant online content and have the potential to fulfill a crucial role in a democratic society, directing the scarce attention of citizens towards the information that is most important to them. Simultaneously, recent concerns about so-called filter bubbles, misinformation and selective exposure are symptomatic of the disruptive potential of these digital news recommenders. Recommender systems can make or break filter bubbles, and as such can be instrumental in creating either a more closed or a more open internet. Current approaches to evaluating recommender systems are often focused on measuring an increase in user clicks and short-term engagement, rather than measuring the user's longer term interest in diverse and important information. This paper aims to bridge the gap between normative notions of diversity, rooted in democratic theory, and quantitative metrics necessary for evaluating the recommender system. We propose a set of metrics grounded in social science interpretations of diversity and suggest ways for practical implementations.
