This research paper introduces an agent-based model to explore how an individual's ideology influences their susceptibility to misinformation within densely connected social networks. The model incorporates both the strength of personal ideological biases and the alignment of a false claim with those biases. It demonstrates that social influence modifies these factors, with the impact of neighbors' ideology on belief formation being significantly affected by the interconnectedness of those neighbors. The findings underscore the necessity of considering both network structure and individual ideological predispositions when modeling the spread of misinformation. AI
IMPACT This research provides a more nuanced understanding of how social dynamics and personal beliefs interact, potentially informing the design of more effective strategies to combat misinformation.
RANK_REASON The item is a research paper submitted to arXiv in the Computer Science > Social and Information Networks category, detailing a new agent-based model. [lever_c_demoted from research: ic=1 ai=0.7]
Read on arXiv cs.MA (Multiagent) →
- agent-based model
- alphaXiv
- arXiv
- CatalyzeX
- CORE Recommender
- DagsHub
- Gotit.pub
- Hugging Face
- ideology
- Influence Flower
- misinformation
- Network Structure and Measures
- ScienceCast
- Social and Information Networks
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