用户选择与谷歌搜索所接触的更多党派新闻互动
Ronald E Robertson1,2, Jon Green3, Damian J Ruck3
1Stanford University, Stanford Internet Observatory, Stanford, CA, USA. rer@acm.org.
Nature
|May 24, 2023
概括
用户在谷歌搜索中选择比他们接触的更多不可靠和党派新闻. 用户的选择, 而不是算法,
科学领域:
- 社会科学
- 沟通研究
- 政治科学
背景情况:
- 在线平台可能会导致政治两极分化,
- 现有研究通常依赖于参与数据或假设暴露,因为测量现实暴露具有挑战性.
- 用户选择和算法策划在塑造在线信息消费中的作用仍在争论中.
研究的目的:
- 通过使用生态有效的数据, 调查谷歌搜索的新闻曝光和参与.
- 区分算法策划与用户选择对新闻消费模式的影响.
- 在2018年和2020年美国大选期间检查新闻曝光和参与度.
主要方法:
- 这是一项两波研究, 结合了调查与对Google搜索的曝光和参与度的生态有效衡量.
- 数据收集集中在选举期间的用户接触 (显示的URL) 和参与 (选择的URL).
- 分析比较了身份一致和不可靠的新闻来源.
主要成果:
- 参与者在谷歌搜索中的参与选择和整体显示出更多与身份一致且不可靠的新闻, 而不是他们的搜索结果曝光.
- 这种模式在2018年和2020年美国大选中也是如此.
- 这些发现表明用户选择在这个现象中扮演着比算法策划更重要的角色.
结论:
- 用户的选择, 而不是算法策划, 是与党派或不可靠的新闻在谷歌搜索参与的主要驱动力.
- 了解用户行为对于解决在线新闻消费和政治两极分化问题至关重要.
- 未来的研究应该继续探索在线信息环境中的算法和用户代理之间的相互作用.
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