Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (11): 1-14.doi: 10.11896/jsjkx.240700101

• Social Media Fake News Detection • Previous Articles     Next Articles

Review of Fake News Detection on Social Media

CHEN Jing, ZHOU Gang, LI Shunhang, ZHENG Jiali, LU Jicang, HAO Yaohui   

  1. School of Data and Target Engineering,Information Engineering University,Zhengzhou 450001,China
  • Received:2024-07-16 Revised:2024-09-03 Online:2024-11-15 Published:2024-11-06
  • About author:CHEN Jing,born in 1990,Ph.D,lectu-rer.Her main research interests include natural language processing,social network analysis and knowledge enginee-ring.
  • Supported by:
    National Natural Science Foundation of China(62172433),Henan Province Science and Technology Research Project(222102210081) and Henan Province Soft Science Research Project(202400410084).

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Abstract: Fake news on social media not only jeopardizes cyberspace security,but also plays a pivotal role in major events,severely misleads the public and has a negative affect on political and social order.Therefore,this paper outlines social media fake news detection techniques,establishing a theoretical foundation for building efficient detection technology and curbing the proli-feration of fake news on social media.Firstly,it deeply analyzes the connotation and essence of fake news,explores its generation mechanism and specific manifestations on social platforms,and defines the basic framework and objectives of the detection task.Next,from the perspective of semantic consistency,it focuses on three major levels:content semantics,social context awareness,and knowledge-driven,and compares and combs typical detection methods.On this basis,it deeply explores the latest research advancements in enhancing the explainability of detection algorithms.Furthermore,from the adversarial perspective,it deeply analyzes the challenges faced by current social media fake news detection tasks and the opportunities brought to research detection technology by large-scale language models.Finally,the future development of social media fake news detection technology is prospected.

Key words: Fake news detection, Cross-modal correlation, Social context awareness, Knowledge-driven, Large language model

CLC Number: 

  • TP391
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