Measuring the Importance of User-Generated Content to Search Engines
Measuring the Importance of User-Generated Content to Search Engines
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DOI：
10.1609/icwsm.v13i01.3248
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发表时间：
2019-06
期刊：
影响因子：
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通讯作者：
Nicholas Vincent;Isaac L. Johnson;P. Sheehan;Brent J. Hecht
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文献类型：
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作者：
Nicholas Vincent;Isaac L. Johnson;P. Sheehan;Brent J. Hecht
搜索引擎是现有的一些最流行和最有利可图的智能技术。然而，最近的研究表明，搜索引擎可能令人惊讶地依赖于用户创建的内容（例如维基百科文章）来满足用户信息需求。在本文中，我们对 Google 利用维基百科和其他用户生成的内容来响应查询的程度进行了严格的审核。通过分析六种重要查询类型（例如最受欢迎、趋势、昂贵的广告）的结果，我们发现维基百科出现在某些查询类型的 80% 以上的结果页面中，并且是迄今为止所有查询类型中最流行的单个内容源。更一般地说，我们的结果提供了经验信息，为围绕一个高度重要的问题的新生但迅速增长的争论提供了信息：用户是否为智能技术提供了足够的价值，以至于他们应该从智能技术中获得更多的经济利益？
Search engines are some of the most popular and profitable intelligent technologies in existence. Recent research, however, has suggested that search engines may be surprisingly dependent on user-created content like Wikipedia articles to address user information needs. In this paper, we perform a rigorous audit of the extent to which Google leverages Wikipedia and other user-generated content to respond to queries. Analyzing results for six types of important queries (e.g. most popular, trending, expensive advertising), we observe that Wikipedia appears in over 80% of results pages for some query types and is by far the most prevalent individual content source across all query types. More generally, our results provide empirical information to inform a nascent but rapidly-growing debate surrounding a highlyconsequential question: Do users provide enough value to intelligent technologies that they should receive more of the economic benefits from intelligent technologies?