审计新闻策划系统：一个案例研究检查在苹果新闻的商业和编辑逻辑
Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News
摘要：
这项工作提出了一个审计研究的苹果新闻作为一个社会技术的新闻策展系统，行使把关权力的媒体。我们研究了Apple News背后的机制以及应用程序中呈现的内容，概述了这两个方面的社会，政治和经济影响。我们专注于算法策划的趋势故事部分，以及人工策划的热门故事部分。来自众包审计的结果显示，在趋势故事部分的内容个性化程度最低，而一个sock-puppet审计显示没有基于位置的内容适应。最后，我们进行了为期两个月的数据汇集，以比较人工策划的热门故事部分与算法策划的热门故事部分。在这两个部分中，人工策展在源多样性、集中度和均匀度的几个指标上优于算法策展。此外，算法策展展示了更多关于名人和娱乐的“软新闻”，而编辑策展展示了更多关于政策和国际事件的新闻。据我们所知，这项研究提供了美国苹果新闻的第一个数据支持的特征。
英文摘要：
This work presents an audit study of Apple News as a sociotechnical news curation system that exercises gatekeeping power in the media. We examine the mechanisms behind Apple News as well as the content presented in the app, outlining the social, political, and economic implications of both aspects. We focus on the Trending Stories section, which is algorithmically curated, and the Top Stories section, which is human-curated. Results from a crowdsourced audit showed minimal content personalization in the Trending Stories section, and a sock-puppet audit showed no location-based content adaptation. Finally, we perform an extended two-month data collection to compare the human-curated Top Stories section with the algorithmically curated Trending Stories section. Within these two sections, human curation outperformed algorithmic curation in several measures of source diversity, concentration, and evenness. Furthermore, algorithmic curation featured more "soft news" about celebrities and entertainment, while editorial curation featured more news about policy and international events. To our knowledge, this study provides the first data-backed characterization of Apple News in the United States.
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。
