摘要
[目的/意义]在新兴科学技术传播过程中,社交机器人已成为舆情引导不可忽视的行为主体。通过分析微博平台上“ChatGPT议题”相关发帖信息,了解社交机器人对网民负面情绪的传染机制,为新兴科学技术舆情治理提供建议参考。[方法/过程]首先使用XGBoost模型识别微博社交机器人,然后利用Text2emotion进行细粒度情绪分析,最后构建向量自回归模型(VAR)并进行格兰杰因果检验、脉冲响应分析、方差分解,考察不同负面情绪中社交机器人、意见领袖、公众间情绪传染的方向和强度随时间的演变。[结果/结论]社交机器人显著增加了新兴科学技术传播舆情的不确定性,对于公众不同类型的负面情绪具有差异化的引导作用。在悲伤情绪中,二者存在双向情绪传染现象且强度无显著差异。在愤怒情绪中,二者存在双向情绪传染现象但强度随时间动态演变;在最优滞后期前,社交机器人情绪传染的强度较高,随着时间推移,社交机器人影响式微,公众处于主导地位。社交机器人具有双重身份,是情绪极化的操纵者抑或是民情放大器。在新兴科学技术传播的早期阶段,应预防社交机器人对公众和意见领袖愤怒情绪的引导,或将触发人类用户极化的情绪反应。
[Purpose/significance]In disseminating emerging science and technology,social bots have become an indispensable behavioral subject in shaping public opinion.By analyzing posts information related to the“ChatGPT issue”on the microblogging platform,this study explores the contagion mechanism of social bots on netizens’negative emotions,providing suggestions for the governance of public opinion in the communication of emerging science and technology.[Method/process]First,the XGBoost model is used to identify microblogging social bots,and then Text2emotion is used for fine-grained sentiment analysis.Finally,this study used the Granger causality tests,impulse response analysis,and variance decomposition based on the Vector Autoregression(VAR)model to examine the evolution of the direction and intensity of emotional contagion among social bots,opinion leaders,and the public in different negative emotions over time.[Result/conclusion]Social bots considerably amplify the uncertainty surrounding public opinion in disseminating emerging science and technology,and have differential guiding effects on the public’s negative emotions.In sadness,there is a bidirectional emotional contagion phenomenon and no significant difference in intensity between the two.In anger,there is a bidirectional emotional contagion phenomenon between them,and the intensity of the contagion changes over time.Before the optimal lag period,the emotional contagion of social bots is stronger,and as time goes by,the influence of social bots diminishes,with the public taking the lead.Social bots have dual identities,emotional polarization opinion manipulators,or public sentiment amplifiers.In the initial phases of disseminating emerging science and technology,it is necessary to prevent social bots from channeling public anger and that of opinion leaders,as this may incite polarized emotional responses among human users.
作者
巩雪
蔡萌
杨茗
孟啸
Gong Xue;Cai Meng;Yang Ming;Meng Xiao(School of Humanities and Social Science,Xi’an Jiaotong University,Shaanxi Xi’an 710049;Department of Media and Communication,City University of Hong Kong,China Hong Kong 999077)
出处
《情报理论与实践》
北大核心
2025年第2期113-123,共11页
Information Studies:Theory & Application
基金
国家社会科学基金项目“突发公共卫生事件下老年人数字困境与数字包容性社会建设研究”的成果,项目编号:22BSH109。
关键词
社交机器人
新兴科学技术传播
情绪传染
舆情引导
social bots
emerging science and technology communication
emotional contagion
public opinion guidance
