Affiliation:
1. Xi’an Jiaotong University, Xi’an, Shaanxi, China
Abstract
The recent serious cases of spreading false information have posed a significant threat to the social stability and even national security, urgently requiring all circles to respond adequately. Therefore, this survey illustrates how to fight against false information from its propagation process by (1) exploring the drivers of information infectivity from the content, media, user, structural, and temporal dimensions; (2) describing the propagation modeling approaches from macro (global), meso (community), and micro (individual) levels; and (3) discussing the governance strategies from both technical and application aspects. The potential data sources and the future directions of fighting are also given, hoping to facilitate more comprehensive solutions.
Funder
National key research and development program in China
World-Class Universities (Disciplines) and the Characteristic Development Guidance Funds for the Central Universities of China
Ministry of Education Fund Projects
Shenzhen Science and Technology Project
Xi’an Navinfo Corp. & Engineering Center of Xi’an Intelligence Spatial-temporal Data Analysis Project
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
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