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Survey on Fake Information Generation,Dissemination and Detection

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The current booming development of the Internet has put the public in an era of information overload,in which false information is mixed and spread unscrupulously.This phenomenon has seriously disturbed the social network order.Thus,a substantial amount of research is beginning to be devoted to the effective management of fake information.We analyze the abnormal characteristics of fake information from its mechanism of generation and dissemination.In view of different exceptional features,we systematically sort out and evaluate the existing studies on false content detection.The commonly used public datasets,metrics,and performance are categorized and com-pared,hoping to provide a basis and guidance for related research.Thestudy found that the current active social platforms show different novelty.The future direction should point to mining platform features of multi-domain sources,multi-data forms,and multi-language heterogeneity to provide more valuable clues for fake information.

Fake informationAbnormal characteristicsDetection methodsPublic datasets

Wanqiu CUI、Dawei WANG、Na HAN

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School of National Security,People's Public Security University of China,Beijing 100038,China

Big Data Center of The Ministry of Public Security,Beijing 100176 China

Scientific Research Startup Fund Project of the PPSUCBeijing Municipal Social Science Foundation

2022JKF43822GLB225

2024

电子学报(英文)

电子学报(英文)

CSTPCDEI
ISSN:1022-4653
年,卷(期):2024.33(3)