,使.

Yanfei Ma1, Daozheng Qu2, Yibo Wang3

  • 1Department of Computer Science, Fairleigh Dickinson University, Vancouver, V6B 2P6, Canada.

Scientific reports
|January 9, 2026
PubMed
概括

我们开发了TIDE-MARK,以随着时间的推移跟踪社交媒体上的假新闻社区. 这种方法有效地识别出传播错误信息的稳定,相互联系的社区,其表现优于现有技术.

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