Detecting misinformation in online social networks using cognitive psychology

被引:171
作者
Kumar, K. P. Krishna [1 ]
Geethakumari, G. [1 ]
机构
[1] BITS Pilani, Dept Comp Sci & Informat Syst, Hyderabad Campus, Hyderabad, Andhra Pradesh, India
关键词
Online social network; Misinformation; Disinformation; Cognitive psychology;
D O I
10.1186/s13673-014-0014-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
The paper explores the use of concepts in cognitive psychology to evaluate the spread of misinformation, disinformation and propaganda in online social networks. Analysing online social networks to identify metrics to infer cues of deception will enable us to measure diffusion of misinformation. The cognitive process involved in the decision to spread information involves answering four main questions viz consistency of message, coherency of message, credibility of source and general acceptability of message. We have used the cues of deception to analyse these questions to obtain solutions for preventing the spread of misinformation. We have proposed an algorithm to effectively detect deliberate spread of false information which would enable users to make informed decisions while spreading information in social networks. The computationally efficient algorithm uses the collaborative filtering property of social networks to measure the credibility of sources of information as well as quality of news items. The validation of the proposed methodology has been done on the online social network 'Twitter'.
引用
收藏
页数:22
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