在推特上分享假新闻的超级群体
Sahar Baribi-Bartov1, Briony Swire-Thompson2, Nir Grinberg1
1Software and Information Systems Engineering, Ben-Gurion University, Be'er Sheva, Israel.
概括
在2020年大选期间, 一小部分美国选民被称为"超级分享者", 这些人通常是女性,老年人和共和党人,
科学领域:
- 社会科学
- 政治科学
- 沟通研究
背景情况:
- 政府可以传播假新闻,
- 在2020年美国总统大选中,社交媒体的广泛使用以及对错误信息的担忧.
研究的目的:
- 分析普通选民在推特上传播虚假新闻中的作用.
- 了解政治错误信息的"超级分享者"的特点和影响.
主要方法:
- 分析了2020年美国大选期间664,391名注册选民的推特数据.
- 发现了2107名"超级分享者",
- 超级共享者的人口和网络分析.
主要成果:
- 一小群2107名选民占所有虚假新闻的80%.
- 超级共享者占平台注册选民的5.2%.
- 超级共享者不成比例地是女性,老年人和注册共和党人.
- 内容放大是手动和持续的, 而不是自动化的.
结论:
- 一般选民, 尤其是少数"超级分享者", 在传播虚假新闻方面发挥着至关重要的作用.
- 这凸显了社交媒体平台对民主进程的重大脆弱性.
- 可能需要有针对性的干预措施来缓解超级共享者传播的错误信息的影响.
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