情绪刺激对微博信息分享意愿的影响实证研究
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摘要
[目的]本文通过研究微博用户信息行为,为相关部门在信息传播管控方面提供参考价值。[方法]本文从用户使用微博时产生的情绪刺激角度对用户微博信息分享意愿和动机进行调查研究和分析,并基于过程评估理论和情境评估模型构建微博用户信息分享情绪模型。[结果]研究表明,用户的情绪刺激显著正向影响用户对新颖性、规范、目标、内在舒适性和应对潜力的评估;用户对新颖性、目标和内在舒适性的评估显著正向影响用户的分享意愿;用户的分享意愿对情绪刺激有显著复发效应。[局限]本文构建的研究模型主要验证刺激、评估、结果 3个组件的相互影响,未具体研究评估组件内部5个组件间的相互作用;且本研究的样本主要源自于高学历青年群体。[结论]本研究证明了情绪刺激对微博用户信息分享意愿所产生的影响。情绪既是微博用户在信息分享过程中所产生的心理及情绪波动,又是促使用户产生信息分享行为的因素。
[Objective] This paper provided references for administration departments to control information dissemination on microblog platform,by means of the research of the microblog users' behavior. [Methods] This paper investigated and analyzes the willingness and motivation of users to share microblog information from the perspective of user's emotional stimuli.,so as to build an emotional model on microblog user's information sharing willingness,which based on process appraisal theory and contextual appraisal theory. [Results] The research showed that the user's emotional stimuli significantly positively affected the evaluation of the user's perception or cognition appraisal of novelty,norm,goal,intrinsic pleasantness,and coping potential; The user's appraisal of novelty,goal and intrinsic pleasantness had significant positive effects on their willingness to share; The sharing intention of users had a significant recurrence effect on emotional stimuli. [Limitation] The research model constructed in this paper mainly verified the interaction among the three components of stimulus,evaluation and result,which did not specifically evaluate the interaction among the five components. In addition,the sample mainly came from the highly educated youth population. [Conclusion] This study demonstrated that the impact of emotional stimuli on microblog users' willingness to share the information. And emotions were not only the psychological and emotional fluctuations that microblog users generated in the process of information sharing,but also the factors that promoted users to generate information sharing behaviors.
[Objective] This paper provided references for administration departments to control information dissemination on microblog platform,by means of the research of the microblog users' behavior. [Methods] This paper investigated and analyzes the willingness and motivation of users to share microblog information from the perspective of user's emotional stimuli.,so as to build an emotional model on microblog user's information sharing willingness,which based on process appraisal theory and contextual appraisal theory. [Results] The research showed that the user's emotional stimuli significantly positively affected the evaluation of the user's perception or cognition appraisal of novelty,norm,goal,intrinsic pleasantness,and coping potential; The user's appraisal of novelty,goal and intrinsic pleasantness had significant positive effects on their willingness to share; The sharing intention of users had a significant recurrence effect on emotional stimuli. [Limitation] The research model constructed in this paper mainly verified the interaction among the three components of stimulus,evaluation and result,which did not specifically evaluate the interaction among the five components. In addition,the sample mainly came from the highly educated youth population. [Conclusion] This study demonstrated that the impact of emotional stimuli on microblog users' willingness to share the information. And emotions were not only the psychological and emotional fluctuations that microblog users generated in the process of information sharing,but also the factors that promoted users to generate information sharing behaviors.
引文
[1] Stieglitz S,Dang-Xuan L. Emotions and Information Diffusion inSocial Media-sentiment of Microblogs and Sharing Behavior[J].Journal of Management Information Systems,2014,29(4):217-248.
[2]徐春华.课程微博知识分享的效用研究[J].现代教育技术,2013,23(7):85-89.
[3]李志清.基于LDA主题特征的微博转发预测[J].情报杂志,2015,34(9):158-162.
[4]毛佳昕,刘奕群,张敏,等.基于用户行为的微博用户社会影响力分析[J].计算机学报,2014,(4):791-800.
[5]吴岘辉,张晖,赵旭剑,等.基于用户行为网络的微博意见领袖挖掘算法[J].计算机应用研究,2015,(9):2678-2683.
[6]闫强,吴联仁,郑兰.微博社区中用户行为特征及其机理研究[J].电子科技大学学报,2013,42(3):328-333.
[7]王晓光.微博客用户行为特征与关系特征实证分析———以“新浪微博”为例[J].图书情报工作,2010,(14):66-70.
[8] Pongsajapan R A. Liminal Entities:Identity,Governance,andOrganizations on Twitter[J]. Dissertations&Theses-Gradworks,2009.
[9]张静,赵玲.微博用户行为研究述评[J].情报科学,2015,(8):147-151.
[10] Buccafurri F,Lax G,Nicolazzo S,et al. Comparing Twitter andFacebook User Behavior:Privacy and Other Aspects[J]. Com-puters in Human Behavior,2015,52:87-95.
[11] Stutzman F,Capra R,Thompson J. Factors Mediating Disclosurein Social Network Sites[J]. Computers in Human Behavior,2011,27(1):590-598.
[12] Peng T Q,Sun G,Wu Y. Interplay Between Public Attentionand Public Emotion Toward Multiple Social Issues on Twitter[J].PLOS ONE,2017,12(1):e0167896.
[13] Jones N M,Wojcik S P,Sweeting J,et al. Tweeting NegativeEmotion:An Investigation of Twitter Data in the Aftermath of Vio-lence on College Campuses[J]. Psychological Methods,2016,21(4):526.
[14] Himelboim I,Sweetser K D,Tinkham S F,et al. Valence-based Homophily on Twitter:Network Analysis of Emotions andPolitical Talk in the 2012 Presidential Election[J]. New Media&Society,2016,18(7):1382-1400.
[15] Kanavos A,Perikos I,Vikatos P,et al. Modeling Retweet Dif-fusion Using Emotional Content[M]. Artificial Intelligence Appli-cations and Innovations. Berlin:Springer,2014:101-110.
[16] Naveed N,Gottron T,KunegiS J,et al. Bad News Travel Fast:A Content-based Analysis of Interestingness on Twitter[C]//Proceeding of 3rd ACM WebSci Conference. Germany:Web Sci-ence,2011:1-7.
[17] Wang W,Chen L,Thirunarayan K,et al. Harnessing Twitter“Big Data”for Automatic Emotion Identification[C]//Privacy,Security,Risk and Trust(PASSAT),2012 International Confer-ence on and 2012 International Confernece on Social Computing(SocialCom). IEEE,2012:587-592.
[18]唐晓波,罗颖利.融入情感差异和用户兴趣的微博转发预测[J].图书情报工作,2017,61(9):102-110.
[19] Descartes R. Passions of the Soul[M]. Hackett Publishing,1989.
[20] Hume D. Treatise on Human Nature Ed Selby-bigge,L A[M].1888.
[21] Schachter S,Singer J. Cognitive,Social,and Physiological De-terminants of Emotional State[J]. Psychological Review,1962,69(5):379.
[22] Scherer K R. What are Emotions? And How Can They be Meas-ured?[J]. Social Science Information,2005,44(4):695-729.
[23] Scherer K R. Toward a Dynamic Theory of Emotion:The Compo-nent Process Model of Affective States[J]. Geneva Studies in E-motion and Communication,1987,(1):1-98.
[24] Ellliot,Andrew J,Covington,Martin. Approach and AvoidanceMotivation[J]. Educational Psychology Review,2001,13:2.
[25] Bradley M M,Codispoti M,Cuthbert B N,et al. Emotion andMotivationⅠ:Defensive and Appetitive Reactions in Picture Pro-cessing.[J]. Emotion,2001,1(3):276-98.
[26] Watson J B. Psychology:From the Standpoint of a Behaviorist[M]. Lippincott,1919.
[27] Descartes R. Passions of the Soul[M]. Hackett Publishing,1989.
[28] Tomkins S S,Affect I. Consciousness,Vol. 1[J]. The PositiveAffects Springer,New York,1962.
[29] Parkinson B. Untangling the Appraisal-emotion Connection[J].Personality and Social Psychology Review,1997,1(1):62-79.
[30] Stacey P,Chiasson M. Conceptualizing Emotion in InformationSystems Development[J]. 2014.
[31] Scherer K R,Peper M. Psychological Theories of Emotion andNeuropsychological Research[J]. Handbook of Neuropsychology,2001,(5):17-48.
[32] Watson J B. Psychology:From the Standpoint of a Behaviorist[M]. Lippincott,1919.
[33] Walsham G,York N. Geoff Walsham:Interpreting InformationSystems in Organizations:1993, Chichester, New York:Wiley.269 pages[J]. Organization Studies,1994,15.
[34] Nunnally J. Psychometric Methods[J]. 1978.
[35] Lazarus R S. Emotion and Adaptation[M]. Oxford UniversityPress on Demand,1991.
[36] Davis F D. Perceived Usefulness,Perceived Ease of Use,andUser Acceptance of Information Technology[J]. MIS Quarterly,1989:319-340.
[37] Koufaris M. Applying the Technology Acceptance Model and FlowTheory to Online Consumer Behavior[J]. Information Systems Re-search,2002,13(2):205-223.
[2]徐春华.课程微博知识分享的效用研究[J].现代教育技术,2013,23(7):85-89.
[3]李志清.基于LDA主题特征的微博转发预测[J].情报杂志,2015,34(9):158-162.
[4]毛佳昕,刘奕群,张敏,等.基于用户行为的微博用户社会影响力分析[J].计算机学报,2014,(4):791-800.
[5]吴岘辉,张晖,赵旭剑,等.基于用户行为网络的微博意见领袖挖掘算法[J].计算机应用研究,2015,(9):2678-2683.
[6]闫强,吴联仁,郑兰.微博社区中用户行为特征及其机理研究[J].电子科技大学学报,2013,42(3):328-333.
[7]王晓光.微博客用户行为特征与关系特征实证分析———以“新浪微博”为例[J].图书情报工作,2010,(14):66-70.
[8] Pongsajapan R A. Liminal Entities:Identity,Governance,andOrganizations on Twitter[J]. Dissertations&Theses-Gradworks,2009.
[9]张静,赵玲.微博用户行为研究述评[J].情报科学,2015,(8):147-151.
[10] Buccafurri F,Lax G,Nicolazzo S,et al. Comparing Twitter andFacebook User Behavior:Privacy and Other Aspects[J]. Com-puters in Human Behavior,2015,52:87-95.
[11] Stutzman F,Capra R,Thompson J. Factors Mediating Disclosurein Social Network Sites[J]. Computers in Human Behavior,2011,27(1):590-598.
[12] Peng T Q,Sun G,Wu Y. Interplay Between Public Attentionand Public Emotion Toward Multiple Social Issues on Twitter[J].PLOS ONE,2017,12(1):e0167896.
[13] Jones N M,Wojcik S P,Sweeting J,et al. Tweeting NegativeEmotion:An Investigation of Twitter Data in the Aftermath of Vio-lence on College Campuses[J]. Psychological Methods,2016,21(4):526.
[14] Himelboim I,Sweetser K D,Tinkham S F,et al. Valence-based Homophily on Twitter:Network Analysis of Emotions andPolitical Talk in the 2012 Presidential Election[J]. New Media&Society,2016,18(7):1382-1400.
[15] Kanavos A,Perikos I,Vikatos P,et al. Modeling Retweet Dif-fusion Using Emotional Content[M]. Artificial Intelligence Appli-cations and Innovations. Berlin:Springer,2014:101-110.
[16] Naveed N,Gottron T,KunegiS J,et al. Bad News Travel Fast:A Content-based Analysis of Interestingness on Twitter[C]//Proceeding of 3rd ACM WebSci Conference. Germany:Web Sci-ence,2011:1-7.
[17] Wang W,Chen L,Thirunarayan K,et al. Harnessing Twitter“Big Data”for Automatic Emotion Identification[C]//Privacy,Security,Risk and Trust(PASSAT),2012 International Confer-ence on and 2012 International Confernece on Social Computing(SocialCom). IEEE,2012:587-592.
[18]唐晓波,罗颖利.融入情感差异和用户兴趣的微博转发预测[J].图书情报工作,2017,61(9):102-110.
[19] Descartes R. Passions of the Soul[M]. Hackett Publishing,1989.
[20] Hume D. Treatise on Human Nature Ed Selby-bigge,L A[M].1888.
[21] Schachter S,Singer J. Cognitive,Social,and Physiological De-terminants of Emotional State[J]. Psychological Review,1962,69(5):379.
[22] Scherer K R. What are Emotions? And How Can They be Meas-ured?[J]. Social Science Information,2005,44(4):695-729.
[23] Scherer K R. Toward a Dynamic Theory of Emotion:The Compo-nent Process Model of Affective States[J]. Geneva Studies in E-motion and Communication,1987,(1):1-98.
[24] Ellliot,Andrew J,Covington,Martin. Approach and AvoidanceMotivation[J]. Educational Psychology Review,2001,13:2.
[25] Bradley M M,Codispoti M,Cuthbert B N,et al. Emotion andMotivationⅠ:Defensive and Appetitive Reactions in Picture Pro-cessing.[J]. Emotion,2001,1(3):276-98.
[26] Watson J B. Psychology:From the Standpoint of a Behaviorist[M]. Lippincott,1919.
[27] Descartes R. Passions of the Soul[M]. Hackett Publishing,1989.
[28] Tomkins S S,Affect I. Consciousness,Vol. 1[J]. The PositiveAffects Springer,New York,1962.
[29] Parkinson B. Untangling the Appraisal-emotion Connection[J].Personality and Social Psychology Review,1997,1(1):62-79.
[30] Stacey P,Chiasson M. Conceptualizing Emotion in InformationSystems Development[J]. 2014.
[31] Scherer K R,Peper M. Psychological Theories of Emotion andNeuropsychological Research[J]. Handbook of Neuropsychology,2001,(5):17-48.
[32] Watson J B. Psychology:From the Standpoint of a Behaviorist[M]. Lippincott,1919.
[33] Walsham G,York N. Geoff Walsham:Interpreting InformationSystems in Organizations:1993, Chichester, New York:Wiley.269 pages[J]. Organization Studies,1994,15.
[34] Nunnally J. Psychometric Methods[J]. 1978.
[35] Lazarus R S. Emotion and Adaptation[M]. Oxford UniversityPress on Demand,1991.
[36] Davis F D. Perceived Usefulness,Perceived Ease of Use,andUser Acceptance of Information Technology[J]. MIS Quarterly,1989:319-340.
[37] Koufaris M. Applying the Technology Acceptance Model and FlowTheory to Online Consumer Behavior[J]. Information Systems Re-search,2002,13(2):205-223.
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