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2019 , Vol. 63 >Issue 14: 94 - 100

DOI: https://doi.org/10.13266/j.issn.0252-3116.2019.14.011

Construction of User Portrait Model of Social Media Burnout from the Perspective of Causal Factor Association

  • Zhang Yanfeng ,
  • Peng Lihui ,
  • Hong Chuang ,
  • Liu Jincheng ,
  • Gao Kai
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  • 1. School of Public Management Xiangtan University, Xiangtan 411105;
    2. School of Management Jilin University, Changchun 130022;
    3. School of Software Engineering Shenzhen Institute of Information Technology, Shenzhen 518172

Received date: 2018-11-07

  Revised date: 2019-02-01

  Online published: 2019-07-20

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Abstract

[Purpose/significance] The paper explored the causes and results of social media fatigue and analyzed the interaction between the elements, aiming to expand the theoretical research scope of user information behavior, and provide guidance for enterprises to understand the development trend of user social media fatigue.[Method/process] Based on the information ecology theory, the paper extracted the social media user portrait labels from the four dimensions of information ecology, including information person, information, information environment and information technology. Then the paper extracted the user portrait emotional and behavioral labels from the user's psychological and behavioral performance, and constructed the social media fatigue user portrait model.[Result/conclusion] Through the typical social phenomena of negative use and emotional change of social media users, the integration analysis and relationship conciseness of user portrait labels prove that the model of user portrait of social media fatigue in this study is consistent with the S-S-O theoretical framework, and theoretical expansion and application research are carried out according to the actual situation.

Key words： information behavior; social network; social media fatigue; user portrait

Cite this article

Zhang Yanfeng , Peng Lihui , Hong Chuang , Liu Jincheng , Gao Kai . Construction of User Portrait Model of Social Media Burnout from the Perspective of Causal Factor Association[J]. Library and Information Service, 2019 , 63(14) : 94 -100 . DOI: 10.13266/j.issn.0252-3116.2019.14.011

References

[1] MISRA S,STOKOLS D. Psychological and health outcomes of perceived information overload[J].Environment and behavior,2012,44(6):737-759.
[2] 刘鲁川,李旭,张冰倩.基于扎根理论的社交媒体用户倦怠与消极使用研究[J].情报理论与实践,2017,40(12):100-106,51.
[3] OGHUMA A P, LIBAQUE-SAENZ C F, WONG S F, et al. An expectation-confirmation model of continuance intention to use mobile instant messaging[J].Telematics and informatics,2015,33(1):34-47.
[4] SUN Y, LIU D, CHEN S, et al. Understanding users' switching behavior of mobile instant messaging applications:an empirical study from the perspective of push-pull-mooring framework[J].Computers in human behavior,2017,75(10):727-738.
[5] RAVINDRAN T, KUAN Y, CHUA A, et al. Antecedents and effects of social network fatigue[J].Journal of the Association for Information Science and Technology,2014,65(11):2306-2320.
[6] CRAMER E M, SONG H, DRENT A M. Social comparison on Facebook:motivation, affective consequences, self-esteem, and Facebook fatigue[J].Computers in human behavior,2016,64(11):739-746.
[7] TROMHOLT M. The Facebook experiment:quitting Facebook leads to higher levels of well-being[J].Cyberpsychology, behavior, and social networking,2016,19(11):661-666.
[8] BRIGHT L F, KLEISER S B, GRAU S L. Too much Facebook? An exploratory examination of social media fatigue[J].Computers in human behavior,2015,44(12):148-155.
[9] LEE C C, CHOU S T, HUANG Y R. A Study on personality traits and social media fatigue-example of Facebook users[J].Lectures notes on information theory,2014,2(3):249-253.
[10] LIN K M. Predicting asian undergraduates' intention to continue using social network services from negative perspectives[J].Behaviour & information technology,2015,34(9):882-892.
[11] LUQMAN A, CAO X, ALI A, et al. Do you get exhausted from too much socializing? empirical investigation of Facebook discontinues usage intentions based on SOR paradigm[J].Computers in human behavior,2017,70(5):544-555.
[12] ZHANG S, ZHAO L, LU Y, et al. Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services[J].Information & management,2016,53(7):904-914.
[13] YOA J, CAO X. The balancing mechanism of social networking overuse and rational usage[J].Computers in human behavior,2017,75(10):415-422.
[14] CHEN W, LEE K H. Sharing, liking, commenting, and distressed? The pathway between Facebook interaction and psychological distress[J].Cyberpsychology, behavior,and social networking,2013,16(10):728-734.
[15] DHIR A, YOSSATORN Y, KAUR P, et al. Online social media fatigue and psychological wellbeing-a study of compulsive use, fear of missing out, fatigue, anxiety and depression[J].International journal of information management,2018,40(3):141-152.
[16] KIM J Y, COLLINGS-THOMPSON K, BENNETT P N, et al. Characterizing Web content, user interests, and search behavior by reading level and topic[C]//Proceedings of the filth international conference on Web search and Web data mining. New York:ACM,2012:213-222.
[17] NASRAOUI O, SOLIMAN M. A web usage mining framework for mining evolving user profiles in dynamic web sites[J].IEEE transactions on knowledge and data engineering,2008,20(2):202-215.
[18] LIU Q, NIU K. Microblog user interest modeling based on feature propagation[C]//Sixth international symposium on computational intelligence & design. Piscataway:IEEE Computer Society, 2013:383-386.
[19] 刘海鸥,孙晶晶,张亚明,等.在线社交活动中的用户画像及其信息传播行为研究[J].情报科学,2018,36(12):17-21.
[20] 张海涛,崔阳,王丹,等.基于概念格的在线健康社区用户画像研究[J].情报学报,2018,37(9):912-922.
[21] 余传明,田鑫,郭亚静,等.基于行为-内容融合模型的用户画像研究[J].图书情报工作,2018,62(13):54-63.
[22] 单晓红,张晓月,刘晓燕.基于在线评论的用户画像研究——以携程酒店为例[J].情报理论与实践,2018,41(4):99-104.
[23] 杨帆.以画像分析为基础的图书馆大数据——以国家图书馆大数据项目为例[J].图书馆论坛,2019:39(2):58-64.
[24] 赵丹.基于信息生态理论的移动环境下微博舆情传播研究[D].长春:吉林大学,2017.
[25] CHEN Q, YAN Z. Does multitasking with mobile phones affect learning? A review[J].Computers in human behavior,2016,54(1):34-42.
[26] RICHARDS D, CALDWELL P H, GO H. Impact of social media on the health of children and young people[J]. Journal of paediatrics and child health,2015,51(12):1152-1157.
[27] LEPP A, BARKLEY J E, KARPINSKI A C. The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students[J].Computers in human behavior,2014,31(2):343-350.
[28] HSIAO K L. Compulsive mobile application usage and technostress:the role of personality traits[J].Online information review,2017,41(2):272-295.
[29] AYYAGARI R, GROVER V, PURVIS R. Technostress:technological antecedents and implications[J].MIS quarterly,2011,35(4):831-858.
[30] OBERST U, WEGMANN E, STODT B, et al. Negative consequences from heavy social networking in adolescents:the mediating role of fear of missing out[J].Journal of adolescence,2017,55(2):51-60.
[31] LAZARATOU H. KONSTA A, MAGKLARA K, et al. The impact of electronic media use and school schedule on the sleep of adolescents:a mini review[J].Medical research archives,2017,5(9):1-12.
[32] SCHERR S, BRUNET A. Differential influences of depression and personality traits on the use of Facebook[J].Social media society,2017,3(1):1-14.
[33] OPHIR Y. SOS on SNS:adolescent distress on social network sites[J].Computers in human behavior,2017,68(3):51-55.
[34] HUSSAIN Z, GRIFFITHS M D, SHEFFIELD D. An investigation into problematic smartphone use:the role of narcissism, anxiety, and personality factors[J].Journal of behavioral addictions,2017,6(3):378-386.
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