Media Development Strategies from the Perspective of Social Media Fatigue

Research Article
Open access

Media Development Strategies from the Perspective of Social Media Fatigue

Jiamin Lin 1*
  • 1 Department of psychology, Guangzhou University, Guangzhou, Guangdong, 510006, China    
  • *corresponding author 13527784107@163.com
LNEP Vol.4
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-915371-33-1
ISBN (Online): 978-1-915371-34-8

Abstract

With the rapid development of social media, the public's reliance on it has deepened. While people enjoy free expression and fast access to information, they are also plagued by information overload, perception overload, privacy and security issues, and subsequently more and more users are experiencing social media fatigue and unsustainable usage behaviour. Thus, in this new situation, we need to re-examine the development of social media. Using a literature and interview research approach, this paper explores the adjustment and development strategies of the medium from the perspective of social media fatigue and brings new ideas for the development of social media.

Keywords:

social media fatigue, media development

Lin,J. (2023). Media Development Strategies from the Perspective of Social Media Fatigue. Lecture Notes in Education Psychology and Public Media,4,1042-1047.
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References

[1]. Edison Research. (2021) The Infinite Dial 2021 https://www.edisonresearch.com/the-infinite-dial-2021/.

[2]. Edison Research. (2022) The Infinite Dial 2022 https://www.edisonresearch.com/the-infinite-dial-2022/.

[3]. Zhang, S.W., Zhao, L., Lu, Y.B., Yang, J. (2016) Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7): 904-914.

[4]. Zheng, H., Ling, R. (2021) Drivers of social media fatigue: A systematic review. Telematics and Informatics, 64: 101696.

[5]. Chen Z. R. (2022) Media content innovation and development strategies in the light of social media burnout. Communication and Copyright, 2: 102-104.

[6]. Technopedia. (2017) Definition of social media fatigue. http://www.techopedia. com/definition/27372/social-media-fatigue.

[7]. Bright, L. F., Kleiser, S. B., Grau, S. L. (2015) Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior. 44: 148-155.

[8]. Maier, C., Laumer, S., Weinert, C., Tim Weitzel, T. (2015) The Effects of Technostress and Switching Stress on Discontinued Use of Social Networking Services: A Study of Facebook Use. Information Systems Journal, 25(3): 275–308.

[9]. Alkis, A., Kose, T. (2022) Privacy concerns in consumer E-commerce activities and response to social media advertising: Empirical evidence from Europe. Computers in Human Behavior, 137: 107412.

[10]. Dhir, A., Kaur, P., Chen, S. F., Pallesen, S. (2019) Antecedents and consequences of social media fatigue. International Journal of Information Management, 48: 193-202.

[11]. Gao, W., Liu, Z. P., Guo, Q. Q., Li, X. (2018) The dark side of ubiquitous connectivity in smartphone-based SNS: An integrated model from information perspective. Computers in Human Behavior, (84): 185-193.

[12]. Lee, E., Lee, K. Y., Sung, Y., Song, Y. A. (2019). #DeleteFacebook: Antecedents of Facebook Fatigue. Cyberpsychology, behavior and social networking, 22(6): 417–422.

[13]. Xiao, L., Mou, J. (2019) Social media fatigue -Technological antecedents and the moderating roles of personality traits: The case of WeChat. Computers in Human Behavior, 101: 297-310.

[14]. Yao, J. J., Cao, X. F. (2017) The balancing mechanism of social networking overuse and rational usage. Computers in Human Behavior, 75: 415-422.

[15]. Xiao, L., Mou, J., Huang, L. H. (2019) Exploring the antecedents of social network service fatigue: a socio-technical perspective. Industrial Management & Data Systems, 119(9): 2006-2032.

[16]. Xie X. Z., Tsai, N. C. (2021) The effects of negative information-related incidents on social media discontinuance intention: Evidence from SEM and fsQCA. Telematics and Informatics,56:101503.

[17]. Fu, S. X., Li, H. X., Liu, Y., Pirkkalainen, H., Salo, M. (2020) Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6): 102307.

[18]. Karr-Wisniewski, P., Lu,Y. (2010) When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5): 1061-1072.

[19]. Cao, X. F., Sun J. S. (2018) Exploring the effect of overload on the discontinuous intention of social media users: An SOR perspective. Computers in Human Behavior, 81: 10-18.

[20]. World Health Organization. (2021) social media & COVID-19: A global study of digital crisis interaction among Gen Z and Millennials. https://www.who.int/news-room/feature-stories/detail/social-media-covid-19-a-global-

[21]. Lee, C. C., Chou, S. T. H., Huan, Y. R. (2014) A Study on Personality Traits and Social Media Fatigue-Example of Facebook Users. Lecture Notes on Information Theory, 2(3): 249-253.

[22]. Peng L. (2019) Connection and Anti-connection: The Swing of Internet Rules. Chinese Journal of Journalism & Communication, 41(02): 20-37.

[23]. Lin, J. B., Lin, S. Z., Turel, O., Xu, F. (2020) The buffering effect of flow experience on the relationship between overload and social media users’ discontinuance intentions. Telematics and Informatics, 49: 101374.

[24]. Chouchani, N., Abed, M. (2020) Automatic generation of personalized applications based on social media. Procedia Computer Science, 170: 825-830.

[25]. Han, K. K., Xu, J. M., Zhang, B. (2020) Recommending Microblogs with User’s Interests and Multidimensional Trust. Data Analysis and Knowledge Discovery, 4(12): 95-104.

Cite this article

Lin,J. (2023). Media Development Strategies from the Perspective of Social Media Fatigue. Lecture Notes in Education Psychology and Public Media,4,1042-1047.

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About volume

Volume title: Proceedings of the International Conference on Interdisciplinary Humanities and Communication Studies (ICIHCS 2022), Part 3

ISBN：978-1-915371-33-1(Print) / 978-1-915371-34-8(Online)
Editor：Muhammad Idrees, Matilde Lafuente-Lechuga
Conference website: https://www.icihcs.org/
Conference date: 18 December 2022
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.4
ISSN：2753-7048(Print) / 2753-7056(Online)

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References

[1]. Edison Research. (2021) The Infinite Dial 2021 https://www.edisonresearch.com/the-infinite-dial-2021/.

[2]. Edison Research. (2022) The Infinite Dial 2022 https://www.edisonresearch.com/the-infinite-dial-2022/.

[3]. Zhang, S.W., Zhao, L., Lu, Y.B., Yang, J. (2016) Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7): 904-914.

[4]. Zheng, H., Ling, R. (2021) Drivers of social media fatigue: A systematic review. Telematics and Informatics, 64: 101696.

[5]. Chen Z. R. (2022) Media content innovation and development strategies in the light of social media burnout. Communication and Copyright, 2: 102-104.

[6]. Technopedia. (2017) Definition of social media fatigue. http://www.techopedia. com/definition/27372/social-media-fatigue.

[7]. Bright, L. F., Kleiser, S. B., Grau, S. L. (2015) Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior. 44: 148-155.

[8]. Maier, C., Laumer, S., Weinert, C., Tim Weitzel, T. (2015) The Effects of Technostress and Switching Stress on Discontinued Use of Social Networking Services: A Study of Facebook Use. Information Systems Journal, 25(3): 275–308.

[9]. Alkis, A., Kose, T. (2022) Privacy concerns in consumer E-commerce activities and response to social media advertising: Empirical evidence from Europe. Computers in Human Behavior, 137: 107412.

[10]. Dhir, A., Kaur, P., Chen, S. F., Pallesen, S. (2019) Antecedents and consequences of social media fatigue. International Journal of Information Management, 48: 193-202.

[11]. Gao, W., Liu, Z. P., Guo, Q. Q., Li, X. (2018) The dark side of ubiquitous connectivity in smartphone-based SNS: An integrated model from information perspective. Computers in Human Behavior, (84): 185-193.

[12]. Lee, E., Lee, K. Y., Sung, Y., Song, Y. A. (2019). #DeleteFacebook: Antecedents of Facebook Fatigue. Cyberpsychology, behavior and social networking, 22(6): 417–422.

[13]. Xiao, L., Mou, J. (2019) Social media fatigue -Technological antecedents and the moderating roles of personality traits: The case of WeChat. Computers in Human Behavior, 101: 297-310.

[14]. Yao, J. J., Cao, X. F. (2017) The balancing mechanism of social networking overuse and rational usage. Computers in Human Behavior, 75: 415-422.

[15]. Xiao, L., Mou, J., Huang, L. H. (2019) Exploring the antecedents of social network service fatigue: a socio-technical perspective. Industrial Management & Data Systems, 119(9): 2006-2032.

[16]. Xie X. Z., Tsai, N. C. (2021) The effects of negative information-related incidents on social media discontinuance intention: Evidence from SEM and fsQCA. Telematics and Informatics,56:101503.

[17]. Fu, S. X., Li, H. X., Liu, Y., Pirkkalainen, H., Salo, M. (2020) Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6): 102307.

[18]. Karr-Wisniewski, P., Lu,Y. (2010) When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5): 1061-1072.

[19]. Cao, X. F., Sun J. S. (2018) Exploring the effect of overload on the discontinuous intention of social media users: An SOR perspective. Computers in Human Behavior, 81: 10-18.

[20]. World Health Organization. (2021) social media & COVID-19: A global study of digital crisis interaction among Gen Z and Millennials. https://www.who.int/news-room/feature-stories/detail/social-media-covid-19-a-global-

[21]. Lee, C. C., Chou, S. T. H., Huan, Y. R. (2014) A Study on Personality Traits and Social Media Fatigue-Example of Facebook Users. Lecture Notes on Information Theory, 2(3): 249-253.

[22]. Peng L. (2019) Connection and Anti-connection: The Swing of Internet Rules. Chinese Journal of Journalism & Communication, 41(02): 20-37.

[23]. Lin, J. B., Lin, S. Z., Turel, O., Xu, F. (2020) The buffering effect of flow experience on the relationship between overload and social media users’ discontinuance intentions. Telematics and Informatics, 49: 101374.

[24]. Chouchani, N., Abed, M. (2020) Automatic generation of personalized applications based on social media. Procedia Computer Science, 170: 825-830.

[25]. Han, K. K., Xu, J. M., Zhang, B. (2020) Recommending Microblogs with User’s Interests and Multidimensional Trust. Data Analysis and Knowledge Discovery, 4(12): 95-104.

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