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COMBINING CROWD AND MACHINE INTELLIGENCE TO DETECT FALSE NEWS ON SOCIAL MEDIA

文献类型：期刊论文

作者Wei, Xuan6; Zhang, Zhu5; Zhang, Mingyue4; Chen, Weiyun3; Zeng, Daniel Dajun1,2,5
刊名MIS QUARTERLY
出版日期2022-06-01
卷号46期号:2页码:977-1008
ISSN号0276-7783
关键词False news fake news wisdom of crowds hybrid intelligence graphical model
DOI10.25300/MISQ/2022/16526
通讯作者Zhang, Zhu(zhu.zhang@ia.ac.cn) ; Zhang, Mingyue(zhangmy@shisu.edu.cn)
英文摘要The explosive spread of false news on social media has severely affected many areas such as news ecosystems, politics, economics, and public trust, especially amid the COVID-19 infodemic. Machine intelligence has met with limited success in detecting and curbing false news. Human knowledge and intelligence hold great potential to complement machine-based methods. Yet they are largely underexplored in current false news detection research, especially in terms of how to efficiently utilize such information. We observe that the crowd contributes to the challenging task of assessing the veracity of news by posting responses or reporting. We propose combining these two types of scalable crowd judgments with machine intelligence to tackle the false news crisis. Specifically, we design a novel framework called CAND, which first extracts relevant human and machine judgments from data sources including news features and scalable crowd intelligence. The extracted information is then aggregated by an unsupervised Bayesian aggregation model. Evaluation based on Weibo and Twitter datasets demonstrates the effectiveness of crowd intelligence and the superior performance of the proposed framework in comparison with the benchmark methods. The results also generate many valuable insights, such as the complementary value of human and machine intelligence, the possibility of using human intelligence for early detection, and the robustness of our approach to intentional manipulation. This research significantly contributes to relevant literature on false news detection and crowd intelligence. In practice, our proposed framework serves as a feasible and effective approach for false news detection.
WOS关键词QUALITY
资助项目National Key Research and Development Program of China[2020AAA0103405] ; National Natural Science Foundation of China[71621002] ; National Natural Science Foundation of China[71802024] ; National Natural Science Foundation of China[62071467] ; National Natural Science Foundation of China[72192822] ; National Natural Science Foundation of China[71974187] ; Shanghai Chenguang Program[21CGA13] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA27030100] ; Innovative Research Team of Shanghai International Studies University[2020114044]
WOS研究方向Computer Science ; Information Science & Library Science ; Business & Economics
语种英语
出版者SOC INFORM MANAGE-MIS RES CENT
WOS记录号WOS:000805984600010
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Shanghai Chenguang Program ; Strategic Priority Research Program of Chinese Academy of Sciences ; Innovative Research Team of Shanghai International Studies University
源URL[http://ir.ia.ac.cn/handle/173211/49581]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
通讯作者Zhang, Zhu; Zhang, Mingyue
作者单位1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China
3.Huazhong Univ Sci & Technol, Sch Management, Wuhan, Peoples R China
4.Shanghai Int Studies Univ, Sch Business & Management, Shanghai, Peoples R China
5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
6.Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai, Peoples R China
推荐引用方式
GB/T 7714		 Wei, Xuan,Zhang, Zhu,Zhang, Mingyue,et al. COMBINING CROWD AND MACHINE INTELLIGENCE TO DETECT FALSE NEWS ON SOCIAL MEDIA[J]. MIS QUARTERLY,2022,46(2):977-1008.
APA Wei, Xuan,Zhang, Zhu,Zhang, Mingyue,Chen, Weiyun,&Zeng, Daniel Dajun.(2022).COMBINING CROWD AND MACHINE INTELLIGENCE TO DETECT FALSE NEWS ON SOCIAL MEDIA.MIS QUARTERLY,46(2),977-1008.
MLA Wei, Xuan,et al."COMBINING CROWD AND MACHINE INTELLIGENCE TO DETECT FALSE NEWS ON SOCIAL MEDIA".MIS QUARTERLY 46.2(2022):977-1008.

入库方式： OAI收割

来源：自动化研究所

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