新闻来源偏见和社交媒体上的情绪
Brian Knutson1, Tiffany W Hsu1, Michael Ko1
1Department of Psychology, Stanford University, Stanford, CA, United States of America.
PloS one
|October 23, 2024
概括
社交媒体上的有偏见的新闻来源产生了更多负面的情感内容,这些内容得到了更广泛的分享. 这一趋势在十年内加剧,特别是在政治新闻方面,这表明情绪分析可以帮助用户浏览在线信息.
科学领域:
- 计算社会科学 计算社会科学
- 媒体研究 媒体研究
- 自然语言处理自然语言处理.
背景情况:
- 社交媒体是主要的新闻来源,许多党派和主流媒体都在争夺关注.
- 新闻来源偏见对情感内容及其随时间推移的病毒性的影响仍然不清楚.
研究的目的:
- 调查新闻来源偏见是否影响社交媒体上情感内容的生产和病毒性.
- 检查这些影响在十年内 (2011-2020年) 如何演变.
主要方法:
- 分析了来自美国182个新闻来源在推特上的大约3000万条帖子中的情绪.
- 根据政治偏见对新闻来源的分类 (从左到右).
- 对内容进行纵向分析,并在十年内重新发布数据.
主要成果:
- 与平衡的消息来源相比,偏见的新闻来源 (左和右) 产生了明显更多的高唤起的负面情感内容.
- 高兴奋的负面内容表现出偏见来源与平衡来源的重新发布 (病毒性) 的增加.
- 在过去十年中,高刺激性负面内容的流行率和病毒性增加了,特别是在平衡的来源和政治帖子中.
结论:
- 高兴奋的负面情感内容可能会在社交媒体上推动来自偏见来源的新闻的传播.
- 情绪分析工具可能有助于社交媒体用户识别和减轻此类内容的影响.
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