Fighting False Information from Propagation Process: A Survey

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

doi:10.1145/3563388

Fighting False Information from Propagation Process: A Survey

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

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

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.

Original language	English
Article number	3563388
Journal	ACM Computing Surveys
Volume	55
Issue number	10
DOIs	https://doi.org/10.1145/3563388
State	Published - 31 Oct 2023

Keywords

False information
information infectivity
propagation governance
propagation modeling
social media

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10.1145/3563388

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title = "Fighting False Information from Propagation Process: A Survey",

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.",

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AU - Rao, Yuan

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AU - Nazir, Ambreen

PY - 2023/10/31

Y1 - 2023/10/31

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AB - 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.

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KW - propagation governance

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Fighting False Information from Propagation Process: A Survey

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Keywords

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