摘要
微博中的意见领袖不仅是意见、认知和信息的扩散节点,也扮演着社会“情感领袖”的角色,并体现出鲜明的情感偏向特征,尤其是特定类型的情感传导。基于对新浪微博用户(N=38985)及其每人1000条帖子的采样,对情感和用户类型进行实证分析。研究结果认为:粉丝数越多的微博用户其“情感化”偏向显著增强,而非情感化、无情感的内容显著减少,意见领袖不是冷静、客观、无情感的信息中介,而体现出“后真相”社会情感策动源的特征;微博意见领袖存在特定的情感类型偏向,不是任一种类的情感的加强都与意见领袖地位提升有关,它只偏倚于特定类型;微博情感领袖存在特定的用户类型偏向,进行k-means方式聚类后发现,粉丝量越多、影响力层级越高的用户中,“怒怼型”的比例较高,而其他类型则相对较低。
Opinion leaders on micro-blog are not only the diffusion nodes of opinions,cognition and information,but also the social“emotional leaders”,which clearly reflects their emotional bias,especially the transmission of specific types of emotions.However,there is still a lack of empirical research on micro-blog emotional leaders and their characteristics.Based on the 38985 users and 1000 posts per user belonging to Sina micro-blog,SVM and k-means clustering are used for the empirical analysis.First of all,among users who have more followers,the emotional contents increase significantly,while the non-emotional contents significantly decrease.Opinion leaders are not calm,objective and non-emotional information mediators,but the social emotional driving source in the context of post-truth.Secondly,opinion leaders have a bias towards specific emotional types.The promotion of opinion leaders’status is not related to the strengthening of any emotion,but certain types of emotions.Thirdly,opinion leaders have a bias towards specific user types.By k-means method,the users can be clustered into four emotional categories:anger dominated,joy dominated,non-emotional dominated and emotional homogenized.As the influence level of opinion leaders increases,those who are anger dominated increase significantly and those of the other three types decrease significantly.The feature analysis of micro-blog“emotional leader”is helpful to the theoretical and practical problems such as public opinion guidance,“emotional setting”and emotional regulation in the post-truth society.
作者
徐翔
夏敏
XU Xiang;XIA Min(College of Arts and Media,Tongji University,Shanghai 201804,China)
出处
《重庆邮电大学学报（社会科学版）》
2021年第6期157-169,共13页
Journal of Chongqing University of Posts and Telecommunications(Social Science Edition)
基金
国家自然科学基金青年项目:社交网络互动中用户“信息窄化”机理分析:基于微博的数据挖掘(71804126)。
关键词
情感领袖
意见领袖
情感偏向
情感传播
后真相
emotional leaders
opinion leaders
emotional bias
emotional communication
post-truth
