Fighting False Information from Propagation Process: A Survey

Ling Sun, Yuan Rao, Lianwei Wu, Xiangbo Zhang, Yuqian Lan, Ambreen Nazir

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.