Perceived Information Overload and Intention to Discontinue Use of Short-Form Video: The Mediating Roles of Cognitive and Psychological Factors
Abstract
:1. Introduction
2. Literature Review
2.1. Stress-Coping Theory and Maladaptive Coping
2.2. Effect of Information Overload on Intention and Cognitive and Psychological Factors
2.3. The Roles of Cognitive Factors as Mediators
2.4. The Roles of Psychological Factors as a Mediators
3. Materials and Methods
3.1. Questionnaire Design
3.2. Measurement of Variables
3.2.1. Perceived Information Overload
3.2.2. Short-Form Video Fatigue
3.2.3. Maladaptive Coping
3.2.4. Life Dissatisfaction
3.2.5. Intention to Discontinue the Use of Short-Form Video Applications
4. Results
4.1. Descriptive Data
4.2. Hypothesis Testing
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- China, Z. Tencent 2Q 2021 Earnings Report: Wechat Monthly Live Reached 1.25 Billion. Available online: https://maimai.cn/article/detail?fid=1653547542&efid=fduttZCtCxo3bK42szZ4lw (accessed on 18 August 2021).
- Bright, L.F.; Kleiser, S.B.; Grau, S.L. Too much Facebook? An exploratory examination of social media fatigue. Comput. Hum. Behav. 2015, 44, 148–155. [Google Scholar] [CrossRef]
- Sohu. Why Are Short Videos Getting Boring These Days? Available online: https://www.sohu.com/a/601246977_121465352 (accessed on 31 October 2022).
- Jiemianxinwen. Kuaishou Posted a Net Loss of 3.18 Billion Yuan in the Second Quarter and Had 347 Million Average Daily Active Users. Available online: https://www.163.com/dy/article/HFFHUTCA0534A4SC.html (accessed on 23 August 2022).
- Qianzhanwang. Analysis of Market Pattern and Development Trend of Short Video Industry in the First Half of 2019 Toutiao Short Video APP Has Strong Competitiveness. Available online: https://www.163.com/dy/article/EM4RTUHR051480KF.html (accessed on 9 August 2019).
- Prost, S. Tiktok and the Growth of Short-Form Video. Available online: https://rootedweb.com/tiktok-and-the-growth-of-short-form-video/ (accessed on 8 November 2021).
- Du, X.; Liechty, T.; Santos, C.A.; Park, J. ‘I want to record and share my wonderful journey’: Chinese Millennials’ production and sharing of short-form travel videos on TikTok or Douyin. Curr. Issues Tour. 2020, 25, 1–13. [Google Scholar] [CrossRef]
- Yang, Y.; Ha, L. Why people use TikTok (Douyin) and how their purchase intentions are affected by social media influencers in China: A uses and gratifications and parasocial relationship perspective. J. Interact. Advert. 2021, 21, 297–305. [Google Scholar] [CrossRef]
- Song, S.; Xue, X.; Zhao, Y.C.; Li, J.; Zhu, Q.; Zhao, M. Short-video apps as a health information source for chronic obstructive pulmonary disease: Information quality assessment of TikTok videos. J. Med. Internet Res. 2021, 23, e28318. [Google Scholar] [CrossRef] [PubMed]
- Xie, X.-Z.; Tsai, N.-C. The effects of negative information-related incidents on social media discontinuance intention: Evidence from SEM and fsQCA. Telemat. Inform. 2021, 56, 101503. [Google Scholar] [CrossRef]
- Liu, H.; Liu, W.; Yoganathan, V.; Osburg, V.-S. COVID-19 information overload and generation Z’s social media discontinuance intention during the pandemic lockdown. Technol. Forecast. Soc. Chang. 2021, 166, 120600. [Google Scholar] [CrossRef]
- Fu, S.; Li, H.; Liu, Y.; Pirkkalainen, H.; Salo, M. Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Inf. Process. Manag. 2020, 57, 102307. [Google Scholar] [CrossRef]
- Zhang, X.; Ding, X.; Ma, L. The influences of information overload and social overload on intention to switch in social media. Behav. Inf. Technol. 2022, 41, 228–241. [Google Scholar] [CrossRef]
- Lim, M.S.; Choi, S.B. Stress caused by social media network applications and user responses. Multimed. Tools Appl. 2017, 76, 17685–17698. [Google Scholar] [CrossRef]
- Gaudioso, F.; Turel, O.; Galimberti, C. The mediating roles of strain facets and coping strategies in translating techno-stressors into adverse job outcomes. Comput. Hum. Behav. 2017, 69, 189–196. [Google Scholar] [CrossRef]
- Lin, J.; Lin, S.; Turel, O.; Xu, F. The buffering effect of flow experience on the relationship between overload and social media users’ discontinuance intentions. Telemat. Inform. 2020, 49, 101374. [Google Scholar] [CrossRef]
- Taimeiti. With Tiktok and Kuaishou Grabbing the Market Outside and Paying Users Falling Inside, What Is the Future of Live Shows? Available online: https://baijiahao.baidu.com/s?id=1708321772136624583&wfr=spider&for=pc (accessed on 17 August 2021).
- Anderson, I.A.; Wood, W. Habits and the electronic herd: The psychology behind social media’s successes and failures. Consum. Psychol. Rev. 2021, 4, 83–99. [Google Scholar] [CrossRef]
- Loh, X.-K.; Lee, V.-H.; Loh, X.-M.; Tan, G.W.-H.; Ooi, K.-B.; Dwivedi, Y.K. The dark side of mobile learning via social media: How bad can it get? Inf. Syst. Front. 2021, 24, 1887–1904. [Google Scholar] [CrossRef] [PubMed]
- Frølund Pedersen, H.; Frostholm, L.; Søndergaard Jensen, J.; Ørnbøl, E.; Schröder, A. Neuroticism and maladaptive coping in patients with functional somatic syndromes. Br. J. Health Psychol. 2016, 21, 917–936. [Google Scholar] [CrossRef]
- Mahamid, F.A.; Berte, D.Z.; Bdier, D. Problematic internet use and its association with sleep disturbance and life satisfaction among Palestinians during the COVID-19 pandemic. Curr. Psychol. 2022, 41, 8167–8174. [Google Scholar] [CrossRef]
- Lin, S.; Lin, J.; Luo, X.R.; Liu, S. Juxtaposed effect of social media overload on discontinuous usage intention: The perspective of stress coping strategies. Inf. Process. Manag. 2021, 58, 102419. [Google Scholar] [CrossRef]
- Rajkumar, R.P. COVID-19 and mental health: A review of the existing literature. Asian J. Psychiatry 2020, 52, 102066. [Google Scholar] [CrossRef]
- Maier, C.; Laumer, S.; Weinert, C.; Weitzel, T. The effects of technostress and switching stress on discontinued use of social networking services: A study of Facebook use. Inf. Syst. J. 2015, 25, 275–308. [Google Scholar] [CrossRef]
- Bettmann, J.E.; Anstadt, G.; Casselman, B.; Ganesh, K. Young adult depression and anxiety linked to social media use: Assessment and treatment. Clin. Soc. Work J. 2021, 49, 368–379. [Google Scholar] [CrossRef]
- Koivumaa-Honkanen, H.; Honkanen, R.; Viinamaeki, H.; Heikkilae, K.; Kaprio, J.; Koskenvuo, M. Life satisfaction and suicide: A 20-year follow-up study. Am. J. Psychiatry 2001, 158, 433–439. [Google Scholar] [CrossRef]
- Pang, H. How compulsive WeChat use and information overload affect social media fatigue and well-being during the COVID-19 pandemic? A stressor-strain-outcome perspective. Telemat. Inform. 2021, 64, 101690. [Google Scholar] [CrossRef] [PubMed]
- Seiffge-Krenke, I. Causal links between stressful events, coping style, and adolescent symptomatology. J. Adolesc. 2000, 23, 675–691. [Google Scholar] [CrossRef]
- Hayward, L.E.; Vartanian, L.R.; Pinkus, R.T. Weight stigma predicts poorer psychological well-being through internalized weight bias and maladaptive coping responses. Obesity 2018, 26, 755–761. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Weathers, M.R.; Canzona, M.R.; Fisher, C.L. Digital media as a context for dating abuse: Connecting adaptive and maladaptive coping strategies to young adult women’s well-being. Affilia 2019, 34, 325–345. [Google Scholar] [CrossRef]
- Seiffge-Krenke, I. Adaptive and maladaptive coping styles: Does intervention change anything? Eur. J. Dev. Psychol. 2004, 1, 367–382. [Google Scholar] [CrossRef]
- Lu, S. Chinese in a Pandemic: TikTok as a Window Into Chinese People’s Lives During COVID-19. In Proceedings of the 2021 International Conference on Public Relations and Social Sciences (ICPRSS 2021), Kunming, China, 17–19 September 2021; pp. 106–111. [Google Scholar]
- Hampel, P.; Petermann, F. Perceived stress, coping, and adjustment in adolescents. J. Adolesc. Health 2006, 38, 409–415. [Google Scholar] [CrossRef] [PubMed]
- Ni, M.Y.; Yang, L.; Leung, C.M.; Li, N.; Yao, X.I.; Wang, Y.; Leung, G.M.; Cowling, B.J.; Liao, Q. Mental health, risk factors, and social media use during the COVID-19 epidemic and cordon sanitaire among the community and health professionals in Wuhan, China: Cross-sectional survey. JMIR Ment. Health 2020, 7, e19009. [Google Scholar] [CrossRef]
- Duan, H.; Yan, L.; Ding, X.; Gan, Y.; Kohn, N.; Wu, J. Impact of the COVID-19 pandemic on mental health in the general Chinese population: Changes, predictors and psychosocial correlates. Psychiatry Res. 2020, 293, 113396. [Google Scholar] [CrossRef]
- Yang, Y.; Zilberg, I.E. Understanding Young Adults’ TikTok Usage. Undergraduate Honors Thesis, Department of Communication, University of California San Diego, La Jolla, CA, USA, 2020. [Google Scholar]
- Kaye, D.B.V.; Chen, X.; Zeng, J. The co-evolution of two Chinese mobile short video apps: Parallel platformization of Douyin and TikTok. Mob. Media Commun. 2021, 9, 229–253. [Google Scholar] [CrossRef]
- Xinboyang. Short Video Redskins Map Is Coming! Who is the Industry Representative among the 15 Categories and 10 Vertical Categories? Available online: https://www.163.com/dy/article/GTMVVEUR0552POWV.html (accessed on 17 August 2021).
- Ye, D.; Cho, D.; Chen, J.; Jia, Z. Empirical investigation of the impact of overload on the discontinuous usage intentions of short video users: A stressor-strain-outcome perspective. Online Inf. Rev. 2022; ahead-of-print. [Google Scholar] [CrossRef]
- Fernandes, B.; Biswas, U.N.; Mansukhani, R.T.; Casarín, A.V.; Essau, C.A. The impact of COVID-19 lockdown on internet use and escapism in adolescents. Rev. Psicol. Clínica Niños Adolesc. 2020, 7, 59–65. [Google Scholar] [CrossRef]
- DONG, Z.; Xie, T. Why People Love Short-Form Videos? The Motivations for Using Tiktok and Implications for Well-Being. 2022. Available online: https://ssrn.com/abstract=4089602 (accessed on 30 December 2022).
- Farhoomand, A.F.; Drury, D.H. Managerial information overload. Commun. ACM 2002, 45, 127–131. [Google Scholar]
- Zhou, Z.; Yang, M.; Jin, X.-L. Differences in the reasons of intermittent versus permanent discontinuance in social media: An exploratory study in Weibo. In Proceedings of the 51st Hawaii International Conference on System Sciences, Hilton Waikoloa Village, HI, USA, 3–6 January 2018. [Google Scholar]
- Fan, J.; Smith, A.P. Information overload, wellbeing and COVID-19: A survey in China. Behav. Sci. 2021, 11, 62. [Google Scholar] [CrossRef] [PubMed]
- Zhang, S.; Zhao, L.; Lu, Y.; Yang, J. Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Inf. Manag. 2016, 53, 904–914. [Google Scholar] [CrossRef] [Green Version]
- Pang, H. Unraveling the influence of passive and active WeChat interactions on upward social comparison and negative psychological consequences among university students. Telemat. Inform. 2021, 57, 101510. [Google Scholar] [CrossRef]
- Gascon, K.J.; Lee, S. A Study on the Antecedents and Effects of Social Media Fatigue on Korean Users. Media Econ. Cult. 2022, 20, 7–44. [Google Scholar] [CrossRef]
- Guo, Y.; Lu, Z.; Kuang, H.; Wang, C. Information avoidance behavior on social network sites: Information irrelevance, overload, and the moderating role of time pressure. Int. J. Inf. Manag. 2020, 52, 102067. [Google Scholar] [CrossRef]
- Zhang, H.; Tham, J.S.; Waheed, M. The effects of receiving and expressing health information on social media during the COVID-19 infodemic: An online survey among malaysians. Int. J. Environ. Res. Public Health 2022, 19, 7991. [Google Scholar] [CrossRef] [PubMed]
- Alheneidi, H. The Influence of Information Overload and Problematic Internet Use on Adults’ Wellbeing; Cardiff University: Cardiff, UK, 2019. [Google Scholar]
- Adhikari, K.; Panda, R.K. Examining the role of social networking fatigue toward discontinuance intention: The multigroup effects of gender and age. J. Internet Commer. 2020, 19, 125–152. [Google Scholar] [CrossRef]
- Niu, X.; Wang, X.; Liu, Z. When I feel invaded, I will avoid it: The effect of advertising invasiveness on consumers’ avoidance of social media advertising. J. Retail. Consum. Serv. 2021, 58, 102320. [Google Scholar] [CrossRef]
- Goodall, C.E.; Reed, P. Threat and efficacy uncertainty in news coverage about bed bugs as unique predictors of information seeking and avoidance: An extension of the EPPM. Health Commun. 2013, 28, 63–71. [Google Scholar] [CrossRef]
- Swar, B.; Hameed, T.; Reychav, I. Information overload, psychological ill-being, and behavioral intention to continue online healthcare information search. Comput. Hum. Behav. 2017, 70, 416–425. [Google Scholar] [CrossRef]
- Misra, S.; Stokols, D. Psychological and health outcomes of perceived information overload. Environ. Behav. 2012, 44, 737–759. [Google Scholar] [CrossRef] [Green Version]
- Diener, E.; Emmons, R.A.; Larsen, R.J.; Griffin, S. The satisfaction with life scale. J. Personal. Assess. 1985, 49, 71–75. [Google Scholar] [CrossRef]
- Zhang, X.; Wu, Y.; Liu, S. Exploring short-form video application addiction: Socio-technical and attachment perspectives. Telemat. Inform. 2019, 42, 101243. [Google Scholar] [CrossRef]
- Broder, H.L.; McGrath, C.; Cisneros, G.J. Questionnaire development: Face validity and item impact testing of the Child Oral Health Impact Profile. Community Dent. Oral Epidemiol. 2007, 35, 8–19. [Google Scholar] [CrossRef]
- Seo, H.; Harn, R.-W.; Ebrahim, H.; Aldana, J. International students’ social media use and social adjustment. First Monday 2016, 21. [Google Scholar] [CrossRef]
- Liu, Y.; Li, X. Pro-environmental behavior predicted by media exposure, SNS involvement, and cognitive and normative factors. Environ. Commun. 2021, 15, 954–968. [Google Scholar] [CrossRef]
- Chan, M.; Li, X. Smartphones and psychological well-being in China: Examining direct and indirect relationships through social support and relationship satisfaction. Telemat. Inform. 2020, 54, 101469. [Google Scholar] [CrossRef]
- De Pedraza, P.; Guzi, M.; Tijdens, K. Life Dissatisfaction and Anxiety in COVID-19 Pandemic; MUNI ECON Working Paper; Masaryk University, Faculty of Economics and Administration: Brno, Czech Republic, 2020. [Google Scholar]
- Razali, F.; Talib, O.; Manaf, U.K.A.; Hassan, S.A. A measure of students motivation, attitude and parental influence towards interest in STEM career among Malaysian form four science stream student. Int. J. Acad. Res. Bus. Soc. Sci. 2018, 7, 245–264. [Google Scholar] [CrossRef] [Green Version]
- Sigre-Leirós, V.; Billieux, J.; Mohr, C.; Maurage, P.; King, D.L.; Schimmenti, A.; Flayelle, M. Binge-watching in times of COVID-19: A longitudinal examination of changes in affect and TV series consumption patterns during lockdown. Psychol. Pop. Media 2022. [Google Scholar] [CrossRef]
- Lewis, N.; Sznitman, S.R. Too Much Information? Excessive Media Use, Maladaptive Coping, and Increases in Problematic Cannabis Use during the COVID-19 Pandemic. J. Psychoact. Drugs 2022, 54, 1–10. [Google Scholar] [CrossRef] [PubMed]
- Cleofas, J.V. Social media disorder during community quarantine: A mixed methods study among rural young college students during the COVID-19 pandemic. Arch. Psychiatr. Nurs. 2022, 40, 97–105. [Google Scholar] [CrossRef] [PubMed]
- Ergun, G.; Alkan, A. The social media disorder and ostracism in adolescents:(OSTRACA-SM Study). Eurasian J. Med. 2020, 52, 139. [Google Scholar] [CrossRef] [PubMed]
- Nam, S.-J. Mediating effect of social support on the relationship between older adults’ use of social media and their quality-of-life. Curr. Psychol. 2021, 40, 4590–4598. [Google Scholar] [CrossRef]
Variables | CR | CA | AVE |
---|---|---|---|
Perceived Information Overload | 0.77 | 0.65 | 0.54 |
Short-Form Video Fatigue | 0.85 | 0.79 | 0.60 |
Maladaptive Coping | 0.90 | 0.84 | 0.67 |
Life Dissatisfaction | 0.90 | 0.85 | 0.64 |
Intention to Discontinue Use of Short-Form Video Applications | 0.90 | 0.84 | 0.66 |
Variables | Item | Count | Percentage |
---|---|---|---|
Gender | Female | 221 | 65.0% |
Male | 119 | 35.0% | |
Education Level | High school | 9 | 2.6% |
Pre-college | 10 | 2.9% | |
Undergraduate | 219 | 64.4% | |
Master’s | 83 | 24.4% | |
Ph.D. | 19 | 5.6% | |
Age | 18–21 years old | 247 | 72.6% |
22–26 years old | 93 | 27.4% | |
Marital status | Single | 191 | 56.2% |
In relationship | 93 | 27.4% | |
Married | 56 | 16.5% | |
Monthly Income | CNY 1000–6999 | 115 | 33.8% |
CNY 7000–14,000 | 125 | 36.8% | |
CNY 14,000–49,999 | 71 | 20.9% | |
>CNY 50,000 | 29 | 8.5% | |
Total | 340 | 100% |
Variables | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
Perceived Information Overload | – | ||||
Short-form Video Fatigue | 0.41 ** | – | |||
Maladaptive Coping | 0.48 ** | 0.28 ** | – | ||
Life Dissatisfaction | 0.32 ** | 0.17 ** | 0.34 ** | – | |
Intention to Discontinue Use of Short-Form Video Applications | 0.28 ** | 0.47 ** | 0.31 ** | 0.26 ** | – |
Mean | 2.80 | 2.94 | 2.98 | 3.10 | 2.88 |
SD | 0.85 | 0.91 | 0.78 | 0.77 | 0.86 |
α | 0.65 | 0.84 | 0.79 | 0.85 | 0.84 |
IDUSVA | SFVF | MC | LD | |
---|---|---|---|---|
Gender | 0.03 | −0.03 | −0.02 | 0.15 |
Education | −0.02 | −0.02 | 0.04 | 0.04 |
Income | 0.02 | 0.52 * | 0.06 | 0.03 |
Adj.R2 | −0.05 | 0.11 | −0.08 | 0.12 |
R2 change | 0.01 | 0.02 | 0.01 | 0.02 |
PIO | 0.23 ** | 0.43 ** | 0.45 *** | 0.30 *** |
Adj.R2 | 0.42 *** | 0.17 *** | 0.23 *** | 0.11 *** |
R2 change | 0.05 ** | 0.16 *** | 0.27 *** | 0.10 *** |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Chung, D.; Chen, Y.; Meng, Y. Perceived Information Overload and Intention to Discontinue Use of Short-Form Video: The Mediating Roles of Cognitive and Psychological Factors. Behav. Sci. 2023, 13, 50. https://doi.org/10.3390/bs13010050
Chung D, Chen Y, Meng Y. Perceived Information Overload and Intention to Discontinue Use of Short-Form Video: The Mediating Roles of Cognitive and Psychological Factors. Behavioral Sciences. 2023; 13(1):50. https://doi.org/10.3390/bs13010050
Chicago/Turabian StyleChung, Donghwa, Yuanxin Chen, and Yanfang Meng. 2023. "Perceived Information Overload and Intention to Discontinue Use of Short-Form Video: The Mediating Roles of Cognitive and Psychological Factors" Behavioral Sciences 13, no. 1: 50. https://doi.org/10.3390/bs13010050
APA StyleChung, D., Chen, Y., & Meng, Y. (2023). Perceived Information Overload and Intention to Discontinue Use of Short-Form Video: The Mediating Roles of Cognitive and Psychological Factors. Behavioral Sciences, 13(1), 50. https://doi.org/10.3390/bs13010050