Information Credibility Evaluation on Social Media

CASIA OpenIR > 模式识别实验室

	Information Credibility Evaluation on Social Media
	Wu, Shu; Liu, Qiang; Liu, Yong; Wang, Liang; Tan, Tieniu
	2016
会议名称	Thirtieth AAAI Conference on Artificial Intelligence (AAAI)
会议录名称	In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
会议日期	February 12–17
会议地点	Phoenix
摘要	With the growing online social media, rumors are spread fast and viewed by more and more people on the Internet. Rumors bring significant harm to daily life and public security. It is crucial to evaluate the credibility of information and detect the rumors on social media automatically. In this work, we establish a Network Information Credibility Evaluation (NICE) platform, which collects a database of rumors that have been verified on Sina Weibo and automatically evaluates the information generated by users on social media but has not been verified. Users can use a query to search related information. If the according information appears in our database, users can identify it is a rumor immediately. Otherwise, NICE will show users with real-time results crawled automatically from social media and can calculate credibility of a specific result with our algorithm. Our algorithm learns dynamic representations for information on social media based on behavior information, dynamic information, user information and comment information. Then, we use an ordinary logistic regression to classify information into rumors and non-rumors. Based on our algorithm, NICE system achieves satisfactory performance on evaluating information credibility and detecting rumors on social media.
关键词	Information Credibility Social Media
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12327
专题	模式识别实验室
通讯作者	Wu, Shu
作者单位	Institute of Automation, Chinese Academy of Sciences
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wu, Shu,Liu, Qiang,Liu, Yong,et al. Information Credibility Evaluation on Social Media[C],2016.

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