作者
Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
发表日期
2017/6
期刊
ACM SIGKDD Exploration Newsletter, 2017
卷号
19
期号
1
页码范围
22-36
出版商
ACM
简介
Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume news from social media. On the other hand, it enables the wide spread of \fake news", i.e., low quality news with intentionally false information. The extensive spread of fake news has the potential for extremely negative impacts on individuals and society. Therefore, fake news detection on social media has recently become an emerging research that is attracting tremendous attention. Fake news detection on social media presents unique characteristics and challenges that make existing detection algorithms from traditional news media ine ective or not applicable. First, fake news is intentionally written to mislead readers to believe false information, which makes it difficult and nontrivial to detect based on news content; therefore, we …
引用总数
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学术搜索中的文章
K Shu, A Sliva, S Wang, J Tang, H Liu - ACM SIGKDD explorations newsletter, 2017
K Shu, A Sliva, S Wang, J Tang, H Liu - Fake news detection on social media: A data mining …
K Shu, A Silva, S Wang, J Jang, H Liu - arXiv preprint arXiv:1708.01967, 2019
K Shu, A Sliva, S Wang, J Tang, H Liu - Sidek, H.(2018). Tun M investigated for'fake news' …, 2017
K Shu, A Sliva, S Wang, J Tang, H Liu - Computer Science & Engineering, Arizona State …