从情绪场域到话题引流:社交机器人传播虚假信息的双重机制OACHSSCD

This study investigates the intrinsic mechanisms of social bots in disseminating misinformation from the dual perspectives of emotional fields and content topics.Drawing on a large-scale dataset of misinformation on Weibo,and employing methods including machine learning,zero-shot sentiment classification,BERTopic,and negative bino-mial regression,this research explores how social bots participate in misinformation propagation through dual path-ways:group emotional fields and topic engagement heat.Key findings include:1)social bots tend to engage more ac-tively with public issues that have high social influence or are prone to controversy;2)the involvement of bots signifi-cantly increases emotional entropy,thereby enhancing the diversity of collective emotional expression;3)emotional po-larization is more likely to emerge as a natural outcome of human user interaction rather than being directly triggered by bots;4)both emotional entropy and emotional polarization exhibit dual effects and topic heterogeneity in influencing the virality of misinformation.This study provides a dual-dimensional analytical framework for understanding misinforma-tion dissemination mechanisms in the era of human-bot symbiosis.