The research on propagation modeling and governance strategies of online rumors based on behavior–attitude
Bibliographic Data
| ID | 12420673 |
|---|---|
| Authors | Hailiang Chen (0000-0001-9243-0718, National University of Defense Technology), Chuan Ai (National University of Defense Technology), Bin Chen (0000-0003-3287-934X, National University of Defense Technology, corresponding author), Yong Zhao (0000-0003-1926-9731, National University of Defense Technology), Kedao Lai (0000-0003-2035-9275, Jinan University), Kaisheng Lai, Lingnan He (0000-0001-6679-7487, Sun Yat-sen University), Zhihan Liu (0000-0003-0659-1318, Central South University) |
| Year | 2021 |
| Volume | 32 |
| Issue | 2 |
| Pages | 620-639 |
| Publication date | 2021-07-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Internet Research (JOURNAL) |
| Journal identifiers | ISSN: 1066-2243 • E-ISSN: 2054-5657 |
| Publisher | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/intr-08-2020-0480 |
| OpenAlex | W3182888318 |
| Language | EN |
| Citations received | 1 |
| References cited | 25 |
Purpose The purpose of this paper is to achieve effective governance of online rumors through the proposed rumor propagation model and immunization strategy. Design/methodology/approach The paper leverages the agent-based modeling (ABM) method to model individuals from two aspects, behavior and attitude. Based on the analysis and research of online data, we propose a rumor propagation model, namely the Untouched view transmit removed-Susceptible hesitate agree disagree (Unite-Shad), and devise an immunization strategy, namely the Gravity Immunization Strategy (GIS). A graph-based framework, namely Pregel, is used to carry out the rumor propagation simulation experiments. Through the experiments, the rationality of the Unite-Shad and the effectiveness of the GIS are verified. Findings The study discovers that the inconsistency between human behaviors and attitudes in rumor propagation can be explained by the Unite-shad model. Besides, the GIS, which shows better performance in small-world networks than in scale-free networks, can effectively suppress rumor propagation in the early stage. Research limitations/implications This paper provides an effective immunization strategy for rumor governance. Specifically, the Unite-Shad model reveals the mechanism of rumor propagation, and the GIS provides an effective governance method for selecting immune nodes. Originality/value The inconsistency of human behaviors and attitudes in real scenes is modeled in the Unite-Shad model. Combined with the model, the definition of diffusion domain is proposed and a novel immunization strategy, namely GIS, is designed, which is significant for the social governance of rumor propagation
Business · Corporate governance · Data science · Operations research · Originality · Political science · Public relations · Rumor · Complex Network Analysis Techniques · Computer Science · Engineering · Misinformation and Its Impacts · Opinion Dynamics and Social Influence · Psychology · Social Psychology
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |