Auditing Source Diversity Bias in Video Search Results Using Virtual Agents

Aleksandra Urman, M. Makhortykh, R. Ulloa
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引用次数: 12

Abstract

We audit the presence of domain-level source diversity bias in video search results. Using a virtual agent-based approach, we compare outputs of four Western and one non-Western search engines for English and Russian queries. Our findings highlight that source diversity varies substantially depending on the language with English queries returning more diverse outputs. We also find disproportionately high presence of a single platform, YouTube, in top search outputs for all Western search engines except Google. At the same time, we observe that Youtube’s major competitors such as Vimeo or Dailymotion do not appear in the sampled Google’s video search results. This finding suggests that Google might be downgrading the results from the main competitors of Google-owned Youtube and highlights the necessity for further studies focusing on the presence of own-content bias in Google’s search results.
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基于虚拟座席的视频搜索结果源多样性偏差审计
我们审核视频搜索结果中域级源多样性偏差的存在。使用基于虚拟代理的方法,我们比较了四个西方和一个非西方搜索引擎对英语和俄语查询的输出。我们的研究结果强调,来源多样性在很大程度上取决于语言,英语查询返回更多样化的输出。我们还发现,在除谷歌以外的所有西方搜索引擎的搜索结果中,YouTube这个单一平台的出现比例过高。与此同时,我们观察到Youtube的主要竞争对手,如Vimeo或Dailymotion,并没有出现在抽样的谷歌视频搜索结果中。这一发现表明,谷歌可能正在降低谷歌旗下Youtube的主要竞争对手的搜索结果,并强调了进一步研究谷歌搜索结果中存在的自有内容偏见的必要性。
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