在假新闻和真实新闻的评论部分探索代理互动模式
Kailun Zhu1,2, Songtao Peng1,2, Jiaqi Nie1,2
1Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China.
Journal of the Royal Society, Interface
|November 26, 2024
概括
真正的新闻评论部分显示了比假新闻更积极的情绪和更稳定的互动. 在Reddit上对代理互动的分析有助于早期检测假新闻.
科学领域:
- 计算社会科学 计算社会科学
- 网络分析 网络分析
- 自然语言处理自然语言处理.
背景情况:
- 用户评论对于区分假新闻和真实的新闻至关重要.
- 以前的研究主要集中在文字内容上,忽视了代理互动.
- 假新闻与真实的新闻评论部分用户互动的动态仍未得到充分探索.
研究的目的:
- 在Reddit上的假新闻和真实新闻评论部分调查代理人交互模式.
- 分析这些互动中的网络结构和节点情绪.
- 识别潜在的指标,用于早期检测假新闻.
主要方法:
- 分析了一组数据集,其中包含来自Reddit的假新闻和真实新闻.
- 在评论部分中检查网络结构.
- 用户节点及其集群行为的情感分析.
主要成果:
- 与假新闻相比,真实新闻的评论部分表现出更多的中立和积极的情绪,这会产生更多的负面情绪.
- 具有相似情绪的节点表现出比预期更紧密的集群.
- 节点之间的情绪分布在早期得到稳定,并随着时间的推移保持一致.
结论:
- 代理人互动模式和情绪动态在假新闻和真实新闻之间存在显著差异.
- 在情绪分布中观察到的稳定性为新闻真实性提供了潜在的标记.
- 研究结果提供了理论见解和实用工具,用于实时检测社交网络中的假新闻.
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