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Information Credibility Evaluation on Social Media
Wu, Shu; Liu, Qiang; Liu, Yong; Wang, Liang; Tan, Tieniu
Conference NameThirtieth AAAI Conference on Artificial Intelligence (AAAI)
Source PublicationIn Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Conference DateFebruary 12–17
Conference PlacePhoenix
AbstractWith 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.
KeywordInformation Credibility Social Media
Indexed ByEI
Document Type会议论文
Corresponding AuthorWu, Shu
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wu, Shu,Liu, Qiang,Liu, Yong,et al. Information Credibility Evaluation on Social Media[C],2016.
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