Information Credibility Evaluation on Social Media

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能感知与计算研究中心

	Information Credibility Evaluation on Social Media
	Wu, Shu; Liu, Qiang; Liu, Yong; Wang, Liang; Tan, Tieniu
	2016
会议日期	February 12–17
会议地点	Phoenix
关键词	Information Credibility Social Media
英文摘要	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.
会议录	In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/12327]
专题	自动化研究所_智能感知与计算研究中心
通讯作者	Wu, Shu
作者单位	Institute of Automation, Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Wu, Shu,Liu, Qiang,Liu, Yong,et al. Information Credibility Evaluation on Social Media[C]. 见:. Phoenix. February 12–17.