IC always bad? : Information Cocooning as a Group Emotional Stabilization Role in Social Networks

Jinhu Ren, Tianlong Fan, Linyuan Lü, Xifei Fu
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Abstract

This research aims to investigate the effects of information cocooning on group mood changes caused by information spreading. The simulation of the realistic network evolution process is realized at the structural level by building a network evolution model based on individual viewpoints. Abstracting the accuracy of the real intelligent recommendation process by setting RA (Recommended Accuracy). By analyzing the information cocoon effect due to the recommendation in the comment section, we provide the structural basis of spreading for the dynamics model. A dynamics model of emotion spreading is developed to explore the trend of individual emotion spreading and to quantify the change of group emotion. Through experiments and analysis, this paper concludes that the information cocoon has a positive effect on the stability of group emotions, and that the H-CAC (Hidden Comment Area Cocoon) structure exists widely in real online social networks, and can produce a protective "harbor" effect in the competition of public opinion and cognitive games. The validity of the model is verified by comparison with real cases and generalization ability experiments. This work provides a multi-perspective analysis and visualization, providing more quantitative results. The research is expected to provide new perspectives and tools for understanding the reality of information cocooning and expanding the scenarios of its use.
集成电路总是坏的?:社交网络中作为群体情绪稳定作用的信息 "同居 "现象
本研究旨在探讨信息茧房对信息传播引起的群体情绪变化的影响。通过建立基于个人观点的网络演化模型,在结构层面上实现了对现实网络演化过程的模拟。通过设置 RA(推荐准确率),抽象出真实智能推荐过程的准确性。通过分析评论区中的推荐所产生的信息茧效应,为动态模型提供了传播的结构基础。本文建立了情感传播动力学模型,以探索个体情感传播的趋势并量化群体情感的变化。通过实验和分析,本文得出结论:信息茧对群体情绪的稳定性有积极作用,H-CAC(Hidden Comment Area Cocoon)结构广泛存在于真实的网络社交网络中,并能在舆论竞争和认知博弈中产生保护性的 "港湾 "效应。该模型的有效性通过与真实案例的对比和泛化能力实验得到了验证。这项工作提供了多视角分析和可视化,提供了更多量化结果。该研究有望为理解信息茧房的现实和拓展其使用场景提供新的视角和工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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