多平台效应 (MPE):量化了在多个在线平台上接触类似偏见的内容可能如何影响用户的量化
Robert Epstein1, Amanda Newland1, Thomas Peeler1
1American Institute for Behavioral Research and Technology, Vista, California, United States of America.
PloS one
|August 1, 2025
概括
在多个在线平台上接触有偏见的内容会放大其影响. 这项研究发现,在谷歌搜索,Alexa和X (以前的Twitter) 等平台上连续暴露于有偏见的信息,显著影响了投票偏好.
科学领域:
- 数字媒体研究 数字媒体研究
- 政治沟通的政治沟通
- 人与计算机的交互
背景情况:
- 有控制的研究发现了数字平台使用的众多操纵策略.
- 以前的研究表明,在单个平台上重复接触有偏见的内容具有附加效应.
研究的目的:
- 调查不同在线平台上偏见性内容曝光的累积影响.
- 为了确定从多个来源接触到类似偏见的内容是否比从单个来源更有影响.
主要方法:
- 进行了一项随机,受控,平衡和双盲实验.
- 参与者在模拟的谷歌搜索,Alexa和X (以前是Twitter) 平台上的类似有偏见的内容中被连续地和随机顺序地暴露.
主要成果:
- 连续暴露于有偏见的内容的影响对意见和投票偏好都有附加作用.
- 偏见性内容的候选人支持的未决选民的百分比随着每个平台的增加:42.4%,然后56.5%,然后66.7%.
结论:
- 跨平台接触有偏见的内容可以显著和增加地影响政治观点和投票行为.
- 如果大型科技公司在价值观或政治倾向方面保持一致,它们对选举的集体影响可能会很大.
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