通过导航搜索驱动的网络搜索对不可靠网站的当前参与
Kevin T Greene1, Nilima Pisharody1, Lucas Augusto Meyer2
1Empirical Studies of Conflict Project, Princeton University, Princeton, NJ, USA.
Science advances
|October 30, 2024
概括
搜索引擎算法使用户接触到一些不可靠的信息来源. 大多数与不可靠内容的互动发生在用户专门搜索时,而不是由于算法偏见.
科学领域:
- 信息科学 信息科学 信息科学
- 计算机科学 计算机科学
- 网络搜索行为行为
背景情况:
- 人们普遍担心搜索引擎算法会让用户接触到不可靠的信息.
- 很少有系统的证据将算法影响与用户偏好区分开来.
研究的目的:
- 调查搜索引擎算法是否系统地使用户接触到不可靠的信息来源.
- 确定用户偏好与算法在与不可靠内容互动中的作用.
主要方法:
- 分析了两个大型数据集,其中包括来自Bing的约140亿个搜索引擎结果页面 (SERP).
- 在大量搜索查询中检查用户参与模式与不可靠的信息来源.
主要成果:
- 搜索引擎使用户接触到极少数不可靠的信息来源.
- 大多数与不可靠来源的互动来自于用户对这些特定网站的明确搜索.
- 这些显式搜索仅占总搜索量的一小部分.
结论:
- 搜索引擎算法似乎没有系统地驱动对不可靠信息的暴露.
- 用户偏好是理解在线与不可靠来源互动的关键因素.
- 未来的研究必须在分析信息源参与时考虑用户意图.
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