COVID-19 information overload and generation Z's social media discontinuance intention during the pandemic lockdown
Open accessAbstract
While previous research highlights the benefits of social media in times of a pandemic, this research focuses on the potential dark side of social media use among Generation Z (Gen Z) in the UK during the COVID-19 pandemic lockdown between March and May 2020. The study reveals that COVID-19 information overload through social media had a negative impact on Gen Z social media users' psychological well-being. Moreover, perceived information overload heightened both social media fatigue and fear of COVID-19, which, in turn, increased users' social media discontinuance intention. In addition, considering that social media is the predominant method of maintaining connectivity with others for Gen Z users during the lockdown, the fear of missing out (FoMO) buffered the impact of social media fatigue and fear of COVID-19 on Gen Z users' social media discontinuance intention. Our research adds a hitherto underexplored perspective to the impact of the COVID-19 pandemic on young people's mental health. We offer a series of practical suggestions for social media users, social media platform providers, and health officials, institutions, and organizations in the effective and sustainable use of social media during the global COVID-19 pandemic and in the post-pandemic time.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Higher engagement in social media content occurred even if the information received was perceived as overwhelming.
“The higher engagement in social media content was carried out also if the information received were perceived as overwhelming (42).”
From Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis (2022) · cites this paper as [42]
Covid-19 information shared through social platforms was perceived as excessively complex and overwhelming, augmenting social media fatigue and fear of Covid-19.
“In particular, Covid-19 information shared through social platforms have been perceived as excessively complex and overwhelming, thus augmenting both social media fatigue and fear of Covid-19 (42), with the risk to further bias information-processing capacities for the assessment of Covid-19 information.”
From Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis (2022) · cites this paper as [42]
Detrimental effects of social media may derive from the overload of Covid-19-related information, which was frequently negatively valenced and included much misinformation augmenting feelings of worry, fear of the pandemic, and FoMO, thus diminishing well-being.
“Firstly, detrimental effects of social media may derive from the overload of Covid-19-related information, which was frequently negatively valenced and included much misinformation augmenting feelings of worry, fear of the pandemic, and FoMO, thus diminishing well-being [e.g., (42)].”
From Digital Media Use and Adolescents' Mental Health During the Covid-19 Pandemic: A Systematic Review and Meta-Analysis (2022) · cites this paper as [42]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524 · see citing works
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931 · see citing works
Prospect theory: An analysis of decision under risk
Kahneman, D. J., & Tversky, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609220.014 · Cited by 32,700 · see citing works
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163 · see citing works
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287 · see citing works
(1974) · Medical Entomology and Zoology · Cited by 7,295 · see citing works
Motivational, emotional, and behavioral correlates of fear of missing out
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.02.014 · Cited by 3,932 · see citing works
Regression Analysis by Example.
Kmenta, J., Chatterjee, S., & Price, B. P. (1980) · Journal of the American Statistical Association · doi:10.2307/2287213 · Cited by 3,211 · see citing works
The limited capacity model of mediated message processing
Lang, A. (2000) · Journal of Communication · doi:10.1111/j.1460-2466.2000.tb02833.x · Cited by 2,153 · cited 1× · see citing works
“This is because social media users’ capacity for processing information does not increase at the same pace as information accumulates on social media (Dhir et al., 2018; Lang, 2000).”
Handbook of Self-Regulation: Research, Theory, and Applications
Tabor, E. B. (2006) · Psychiatric Services · doi:10.1176/appi.ps.57.4.585-a · Cited by 1,788 · see citing works
Impact of Covid-19 on consumer behavior: Will the old habits return or die?
Sheth, J. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.05.059 · Cited by 1,766 · see citing works
Multivariate Data Analysis with Readings
Sparkman, R. M., Hair, J. F., Anderson, R. E., Tatham, R. L., & Grablowsky, B. J. (1979) · Journal of Marketing Research · doi:10.2307/3150726 · Cited by 1,277 · see citing works
Garfin, D. R., Silver, R. C., & Holman, E. A. (2020) · Health Psychology · doi:10.1037/hea0000875 · Cited by 1,270 · see citing works
Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020
Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I. M. (2020) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2020.102258 · Cited by 1,264 · see citing works
Residual Effects of Past on Later Behavior: Habituation and Reasoned Action Perspectives
Ajzen, I. (2002) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0602_02 · Cited by 1,249 · see citing works
Coronaphobia: Fear and the 2019-nCoV outbreak
Asmundson, G. J. G., & Taylor, S. (2020) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2020.102196 · Cited by 1,103 · see citing works
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.01.012 · Cited by 1,033 · see citing works
Generation Z: Technology and Social Interest
Turner, A. (2015) · The Journal of Individual Psychology · doi:10.1353/jip.2015.0021 · Cited by 970 · see citing works
Laato, S., Islam, A. K. M. N., Farooq, A., & Dhir, A. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102224 · Cited by 891 · see citing works
Multivariate data analysis with readings
Hair, J. F. (1992) · Cited by 872 · see citing works
Understanding User Responses to Information Technology: A Coping Model of User Adaptation1
Beaudry, A., & Pinsonneault, A. (2005) · MIS Quarterly · doi:10.2307/25148693 · Cited by 869 · see citing works
Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014) · Information & Management · doi:10.1016/j.im.2014.07.005 · Cited by 856 · see citing works
Beyens, I., Frison, E., & Eggermont, S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.083 · Cited by 847 · see citing works
Generation Z consumers’ expectations of interactions in smart retailing: A future agenda
Priporas, C.-V., Stylos, N., & Fotiadis, A. K. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.058 · Cited by 838 · see citing works
Lee, A. R., Son, S.-M., & Kim, K. K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.011 · Cited by 814 · see citing works
The COVID-19 pandemic: the ‘black swan’for mental health care and a turning point for e-health
Wind, T. R., Rijkeboer, M., Andersson, G., & Riper, H. (2020) · Internet Interventions · doi:10.1016/j.invent.2020.100317 · Cited by 782 · see citing works
Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016) · Information & Management · doi:10.1016/j.im.2016.03.006 · Cited by 675 · see citing works
Giving too much social support: social overload on social networking sites
Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.3 · Cited by 640 · see citing works
Maier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015) · Information Systems Journal · doi:10.1111/isj.12068 · Cited by 628 · see citing works
What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?
Laato, S., Islam, A. K. M. N., Islam, M. N., & Whelan, E. (2020) · European Journal of Information Systems · doi:10.1080/0960085x.2020.1770632 · Cited by 607 · see citing works
Animesh, A., Pinsonneault, A., Yang, S.-B., & Oh (2011) · MIS Quarterly · doi:10.2307/23042809 · Cited by 603 · see citing works
Talwar, S., Dhir, A., Kaur, P., Zafar, N., & Alrasheedy, M. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.05.026 · Cited by 577 · see citing works
Too much Facebook? An exploratory examination of social media fatigue
Bright, L. F., Kleiser, S. B., & Grau, S. L. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.048 · Cited by 559 · see citing works
Regression Analysis by Example
(2007) · Technometrics · doi:10.1198/tech.2007.s498 · Cited by 548 · see citing works
Liu, Y., Li, H., & Hu, F. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.04.001 · Cited by 541 · see citing works
Islam, A. K. M. N., Laato, S., Talukder, S., & Sutinen, E. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120201 · Cited by 538 · see citing works
Cao, X., & Sun, J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.11.035 · Cited by 471 · see citing works
The fear of COVID-19 and its role in preventive behaviours
Pakpour, A. H., & Griffiths, M. D. (2020) · Journal of Concurrent Disorders · doi:10.54127/wcic8036 · Cited by 451 · see citing works
Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm
Luqman, A., Cao, X., Ali, A., Masood, A., & Yu, L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.020 · Cited by 425 · see citing works
Quadrel, M. J., Fischhoff, B., & Davis, W. (1993) · American Psychologist · doi:10.1037//0003-066x.48.2.102 · Cited by 397 · see citing works
Fear of missing out: relationships with depression, mindfulness, and physical symptoms
Baker, Z. G., Krieger, H., & LeRoy, A. S. (2016) · Translational Issues in Psychological Science · doi:10.1037/tps0000075 · Cited by 388 · see citing works
Duckworth, A. L., Grant, H., Loew, B. A., Oettingen, G., & Gollwitzer, P. M. (2010) · Educational Psychology · doi:10.1080/01443410.2010.506003 · Cited by 353 · see citing works
The fear of COVID-19 and its role in preventive behaviors
Pakpour, A. H., & Griffiths (2020) · Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) · Cited by 348 · see citing works
Zhong, B., Huang, Y., & Liu, Q. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106524 · Cited by 347 · see citing works
Swar, B., Hameed, T., & Reychav, I. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.068 · Cited by 334 · see citing works
Antecedents and effects of social network fatigue
Ravindran, T., Chua, A. Y. K., & Lian, D. G. H. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23122 · Cited by 333 · see citing works
Turel, O. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.19 · Cited by 320 · see citing works
Guo, Y., Lu, Z., Kuang, H., & Wang, C. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102067 · Cited by 302 · see citing works
Talwar, S., Dhir, A., Singh, D., Virk, D. G. S., & Salo, J. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102197 · Cited by 300 · see citing works
Antecedents and consequences of social media fatigue
Dhir, A., Kaur, P., Chen, S., & Pallesen, S. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.021 · Cited by 299 · see citing works
Quadrel, M. J., Fischhoff, B., & Davis, W. A. (1993) · American Psychologist · doi:10.1037/0003-066x.48.2.102 · Cited by 285 · see citing works
Talwar, M., Talwar, S., Kaur, P., Tripathy, N., & Dhir, A. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102341 · Cited by 274 · see citing works
Throuvala, M. A., Griffiths, M. D., Rennoldson, M., & Kuss, D. J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.012 · Cited by 272 · see citing works
Journalism, 'fake news' & disinformation : handbook for journalism education and training
Ireton, C., & Posetti, J. (2018) · Cited by 262 · see citing works
The effect of atmosphere on customer engagement in upscale hotels: an application of S-O-R paradigm
Choi, H., & Kandampully, J. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2018.06.012 · Cited by 257 · see citing works
Correlates of social media fatigue and academic performance decrement
Malik, A. N., Dhir, A., Kaur, P., & Johri, A. (2020) · Information Technology and People · doi:10.1108/itp-06-2019-0289 · Cited by 213 · see citing works
Khanra, S., Dhir, A., Kaur, P., & Joseph, R. P. (2020) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2020.11.004 · Cited by 211 · see citing works
Bao, D., Ali, A., & Wang, H. (2020) · Internet Research · doi:10.1108/intr-06-2019-0225 · Cited by 209 · see citing works
Tandon, A., Kaur, P., Dhir, A., & Mäntymäki, M. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106487 · Cited by 209 · see citing works
Lin, J., Lin, S., Turel, O., & Xu, F. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101374 · Cited by 202 · see citing works
What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?
Laato, S., Islam, A. K. M. N., Islam, M. N., & Whelan, E. (2020) · Arrow@dit (Dublin Institute of Technology) · Cited by 190 · see citing works
Xiao, L., & Mou, J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.08.001 · Cited by 176 · see citing works
Kaur, P., Dhir, A., Tandon, A., Alzeiby, E. A., & Abohassan, A. A. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120426 · Cited by 153 · see citing works
Evers, K., Chen, S., Rothmann, S., Dhir, A., & Pallesen, S. (2020) · Journal of Adolescence · doi:10.1016/j.adolescence.2020.08.011 · Cited by 135 · see citing works
Cauberghe, V., Pelsmacker, P. D., Janssens, W., & Dens, N. (2008) · Accident Analysis & Prevention · doi:10.1016/j.aap.2008.11.006 · Cited by 115 · see citing works
Chau, M., Li, T. M. H., Wong, P. W. C., Xu, J., Yip, P. S. F., & Chen, H. (2020) · MIS Quarterly · doi:10.25300/misq/2020/14110 · Cited by 100 · see citing works
Investigating gameplay intention of the elderly using an Extended Technology Acceptance Model (ETAM)
Wang, Q., & Sun, X. S. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.10.024 · Cited by 98 · see citing works
Lo, J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.08.052 · Cited by 97 · see citing works
Enterprise social media and cyber-slacking: A Kahn’s model perspective
Nusrat, A., He, Y., Luqman, A., Waheed, A., & Dhir, A. (2020) · Information & Management · doi:10.1016/j.im.2020.103405 · Cited by 91 · see citing works
Wang, J., Zheng, B., Liu, H., & Yu, L. (2020) · Information Technology and People · doi:10.1108/itp-10-2018-0483 · Cited by 90 · see citing works
Self-citationden Bulck, J. V., & Custers, K. (2009) · European Journal of Public Health · doi:10.1093/eurpub/ckp061 · Cited by 89 · see citing works
Mertens, G., Boddez, Y., Sevenster, D., Engelhard, I., & de Houwer, J. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.07.002 · Cited by 83 · see citing works
Goldstein, S., & Naglieri, J. A. (2011) · Springer eBooks · doi:10.1007/978-0-387-79061-9_5899 · Cited by 81 · see citing works
The structure and demographic correlates of cancer fear
Vrinten, C., van Jaarsveld, C. H. M., Waller, J., von Wagner, C., & Wardle, J. (2014) · BMC Cancer · doi:10.1186/1471-2407-14-597 · Cited by 75 · see citing works
Comparison of Stimulus-Organism-Response Framework between International and Local Retailer
Goi, M. T., Kalidas, V., & Zeeshan, M. (2014) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2014.04.054 · Cited by 61 · see citing works
The self-regulation of emotion
Koole, S. L., van Dillen, L. F., & Sheppes, G. (2010) · Data Archiving and Networked Services (DANS) · Cited by 58 · see citing works
Do online reviews still matter post-purchase?
Liu, H., Jayawardhena, C., Osburg, V., & Babu, M. M. (2019) · Internet Research · doi:10.1108/intr-07-2018-0331 · Cited by 55 · see citing works
Self-citationKoohikamali, M., French, A. M., & Kim, D. J. (2019) · Decision Support Systems · doi:10.1016/j.dss.2019.02.007 · Cited by 46 · see citing works
Goal-directed behaviors in marketing: The role of emotion, volition, and motivation
Bagozzi, R. P. (1997) · Psychology and Marketing · doi:10.1002/(sici)1520-6793(199707)14:4 · Cited by 38 · see citing works
Cowley, E. (2008) · Journal of Consumer Research · doi:10.1086/527267 · Cited by 36 · see citing works
A Personalized Travel Recommendation System Using Social Media Analysis
Coelho, J., Nitu, P., & Madiraju, P. (2018) · IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdatacongress.2018.00046 · Cited by 30 · see citing works
Development and Validation of the Internet Gratification Scale for Adolescents
Dhir, A., Chen, S., & Nieminen, M. (2016) · Journal of Psychoeducational Assessment · doi:10.1177/0734282916639460 · Cited by 29 · see citing works
Laumer, S., Maier, C., Weitzel, T., & Wirth, J. (2015) · Journal of the Association for Information Systems · Cited by 24 · see citing works
Short forms of the WAIS-R with psychiatric inpatients: A comparison of techniques
Boone, D. E. (1990) · Journal of Clinical Psychology · doi:10.1002/1097-4679(199003)46:2 · Cited by 23 · see citing works
Randle, M., Eckersley, R., & Miller, L. M. (2017) · Futures · doi:10.1016/j.futures.2017.07.004 · Cited by 17 · see citing works
Youth Culture and the Media: Global Perspectives
Osgerby, B. (2020) · Cited by 9 · see citing works
Book Review: Multivariate Data Analysis with Readings
Sparkman, R. M. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600324 · Cited by 8 · see citing works
Adjusting the Touristic Educational System to the Exchange of Generation
Foriş, T., & Foriş, D. (2018) · J of Tourism and Hospitality Management · doi:10.17265/2328-2169/2018.02.001 · Cited by 3 · see citing works
Flagged first, then by citations
3 of the 93 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
The opportunities and challenges of ChatGPT in education
Adeshola, I., & Adepoju, A. P. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2253858 · Cited by 517 · see citing works
Marciano, L., Ostroumova, M., Schulz, P. J., & Camerini, A.-L. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2021.793868 · Cited by 420 · see citing works
Neely, S. R., Eldredge, C. E., & Sanders, R. (2021) · Journal of Medical Internet Research · doi:10.2196/29802 · Cited by 292 · see citing works
Deng, J., Zhou, F., Hou, W., Heybati, K., Lohit, S., Abbas, U., Silver, Z., Wong, C. Y., Chang, O., Huang, E., et al. (2023) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14947 · Cited by 283 · see citing works
Exploring the boundaries of open innovation: Evidence from social media mining
Saura, J. R., Palacios‐Marqués, D., & Soriano, D. R. (2022) · Technovation · doi:10.1016/j.technovation.2021.102447 · Cited by 260 · see citing works
Bermes, A. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102555 · Cited by 246 · see citing works
Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2022) · Sustainability · doi:10.3390/su14063643 · Cited by 179 · see citing works
Social sharing of consumption emotion in electronic word of mouth (eWOM): A cross-media perspective
Liu, H., Jayawardhena, C., Osburg, V., Yoganathan, V., & Cartwright, S. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.04.030 · Cited by 195 · see citing works
Self-citationPang, H. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101690 · Cited by 158 · see citing works
Apuke, O. D., & Omar, B. (2021) · Health Informatics Journal · doi:10.1177/14604582211021470 · Cited by 136 · see citing works
Liu, H.-F., Meng-Lewis, Y., Ibrahim, F., & Zhu, X. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.08.018 · Cited by 107 · see citing works
Self-citationYang, J., & Tian, Y. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106950 · Cited by 110 · see citing works
Pang, H., & Ruan, Y. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103289 · Cited by 108 · see citing works
Wei, L., Gong, J., Xu, J., Abidin, N. E. Z., & Apuke, O. D. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101910 · Cited by 103 · see citing works
Lyngdoh, T., El-Manstrly, D. A., & Jeesha, K. (2022) · Psychology and Marketing · doi:10.1002/mar.21744 · Cited by 115 · see citing works
Te’eni-Harari, T., Sela, Y., & Bareket‐Bojmel, L. (2022) · Current Psychology · doi:10.1007/s12144-022-03501-4 · Cited by 99 · see citing works
Khan, A. N. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120968 · Cited by 104 · see citing works
Causes, consequences, and strategies to deal with information overload: A scoping review
Shahrzadi, L., Mansouri, A., Alavi, M., & Shabani, A. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2024.100261 · Cited by 132 · see citing works
Lina, Y., Hou, D., & Ali, S. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.951249 · Cited by 137 · see citing works
Seyfi, S., Vo‐Thanh, T., & Zaman, M. (2024) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-01-2024-0035 · Cited by 88 · see citing works
Jiang, S. (2022) · Social Media + Society · doi:10.1177/20563051221113070 · Cited by 84 · see citing works
Perera, C. H., Nayak, R., & Nguyen, L. T. V. (2022) · Journal of Marketing Communications · doi:10.1080/13527266.2022.2086284 · Cited by 82 · see citing works
Electronic word of mouth 2.0 (eWOM 2.0) – The evolution of eWOM research in the new age
Liu, H., Jayawardhena, C., Shukla, P., Osburg, V., & Yoganathan, V. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114587 · Cited by 127 · see citing works
Self-citationPang, H., & Ruan, Y. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103378 · Cited by 79 · see citing works
Sharma, M., Kaushal, D., & Joshi, S. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103256 · Cited by 95 · see citing works
The mental health and social media use of young Australians during the COVID-19 pandemic
Bailey, E., Boland, A., Bell, I., Nicholas, J., La Sala, L., & Robinson, J. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031077 · Cited by 69 · see citing works
Liu, W., Kwong, C. C. Y., Kim, Y., & Liu, H. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.08.012 · Cited by 72 · see citing works
Self-citationTelework and Mental Health during COVID-19
Mendonça, I., Coelho, F., Ferrajão, P. C., & Abreu, A. M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052602 · Cited by 70 · see citing works
Sun, X., Li, B. J., Zhang, H., & Zhang, G. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1140312 · Cited by 66 · see citing works
The Next-Generation Shopper: A Study of Generation-Z Perceptions of AI in Online Shopping
Bunea, O.-I., Corboș, R.-A., Mișu, S. I., Triculescu, M., & Trifu, A. (2024) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer19040125 · Cited by 66 · see citing works
Apuke, O. D., Omar, B., Tunca, E. A., & Gever, V. C. (2022) · Journal of Information Science · doi:10.1177/01655515221121942 · Cited by 71 · see citing works
Too much social media? Unveiling the effects of determinants in social media fatigue
Qin, C., Li, Y., Wang, T., Zhao, J., Tong, L., Yang, J., & Liu, Y. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1277846 · Cited by 84 · see citing works
Jones, R., Mougouei, D., & Evans, S. L. (2021) · Human Behavior and Emerging Technologies · doi:10.1002/hbe2.304 · Cited by 62 · see citing works
Xiang, H., Chau, K. Y., Tang, Y. M., & Iqbal, W. (2022) · Frontiers in Environmental Science · doi:10.3389/fenvs.2022.870476 · Cited by 59 · see citing works
RetractedSocial Media, Social Support, and Mental Health of Young Adults During COVID-19
Longest, K., & Kang, J.-A. (2022) · Frontiers in Communication · doi:10.3389/fcomm.2022.828135 · Cited by 57 · see citing works
Yang, H., & Zhang, S. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102142 · Cited by 53 · see citing works
Graf, B., & Antoni, C. H. (2023) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2022.2118051 · Cited by 52 · see citing works
Rodrigo, P., Arakpogun, E. O., Vu, M. C., Olan, F., & Djafarova, E. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10258-5 · Cited by 56 · see citing works
Japutra, A., Molinillo, S., Utami, A. F., & Ekaputra, I. A. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101841 · Cited by 57 · see citing works
Mechanism study of social media overload on health self-efficacy and anxiety
Li, K., Jiang, S., Yan, X., & Li, J. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e23326 · Cited by 51 · see citing works
Xia, Y., Deng, Y., Tao, X., Zhang, S., & Wang, C. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-02718-x · Cited by 57 · see citing works
Izogo, E., Mpinganjira, M., Karjaluoto, H., & Liu, H.-F. (2021) · Journal of Travel Research · doi:10.1177/00472875211050420 · Cited by 41 · see citing works
Self-citationMladenović, D., Todua, N., & Pavlović-Höck, N. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.101966 · Cited by 50 · see citing works
Should I buy or not? Revisiting the concept and measurement of panic buying
Cham, T., Cheng, B. L., Lee, Y.-H., & Cheah, J. (2022) · Current Psychology · doi:10.1007/s12144-022-03089-9 · Cited by 49 · see citing works
Colmekcioglu, N., Marvi, R., Foroudi, P., & Okumuş, F. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.08.033 · Cited by 49 · see citing works
Tsoy, D., Godinić, D., Tong, Q., Obrenovic, B., Khudaykulov, A., & Kurpayanidi, K. I. (2022) · Sustainability · doi:10.3390/su14127192 · Cited by 45 · see citing works
Al-Garadi, M. A., Yang, Y., & Sarker, A. (2022) · Healthcare · doi:10.3390/healthcare10112270 · Cited by 49 · see citing works
Nanath, K., Balasubramanian, S., Shukla, V., Islam, N., & Kaitheri, S. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121560 · Cited by 43 · see citing works
A Visualization Analysis of Crisis and Risk Communication Research Using CiteSpace
Che, S., Kamphuis, P., Zhang, S., Zhao, X., & Kim, J. H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052923 · Cited by 43 · see citing works
Wei, L. H., Ong, C. H., & Arumugam, P. V. (2022) · Asia-Pacific Journal of Business Administration · doi:10.1108/apjba-07-2021-0319 · Cited by 56 · see citing works
Social media may hinder learning about science; social media's role in learning about COVID-19
Lee, S., Tandoc, E. C., & Lee, E. W. J. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107487 · Cited by 42 · see citing works
Chung, D., Chen, Y., & Meng, Y. (2023) · Behavioral Sciences · doi:10.3390/bs13010050 · Cited by 49 · see citing works
Guo, W., Chen, T., & Luo, Q. (2022) · Government Information Quarterly · doi:10.1016/j.giq.2022.101676 · Cited by 45 · see citing works
The COVID-19 infodemic among young people and adults: The support of critical media literacy
Sánchez-Reina, J. R., & González-Lara, E.-F. (2022) · Comunicar · doi:10.3916/c73-2022-06 · Cited by 39 · see citing works
Examining the Affect of Impulse Purchase Behavior in Live Streaming E-Commerce Among Generation Z
Miin, G. H., Ghani, D. B. A., Nawi, N. C., Zainuddin, S. A., Abdullah, T. B., Rahim, M. N. A., Hasan, M. Z. M., Aribee, E., Diansyah, R., & Ahyaruddin, M. (2023) · Contributions to management science · doi:10.1007/978-3-031-27296-7_19 · Cited by 39 · see citing works
Kuo, Y., Chen, Y., Wang, H., Liu, C., Strong, C., Saffari, M., Ko, N., Lin, C., & Griffiths, M. D. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.756985 · Cited by 38 · see citing works
Khedhaouria, A., Montani, F., Jamal, A., & Shah, M. H. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123065 · Cited by 46 · see citing works
Blandi, L., Sabbatucci, M., Dallagiacoma, G., Alberti, F., Bertuccio, P., & Odone, A. (2022) · Vaccines · doi:10.3390/vaccines10111822 · Cited by 38 · see citing works
The influence of a lockdown on consumption: An exploratory study on generation Z's consumers
Amatulli, C., Peluso, A. M., Sestino, A., Guido, G., & Belk, R. W. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103358 · Cited by 46 · see citing works
Xu, C. L., & Yan, W. (2022) · Current Psychology · doi:10.1007/s12144-022-03289-3 · Cited by 42 · see citing works
Social media discontinuation: A systematic literature review on drivers and inhibitors
Farooq, A., Dahabiyeh, L., & Maier, C. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101924 · Cited by 42 · see citing works
Chen, A. H., & Peng, N. (2023) · Tourism Management Perspectives · doi:10.1016/j.tmp.2023.101107 · Cited by 36 · see citing works
Ahmed, S., & Rasul, M. E. (2023) · Scientific Reports · doi:10.1038/s41598-023-42614-z · Cited by 36 · see citing works
Hylkilä, K., Männikkö, N., Castrén, S., Mustonen, T., Peltonen, A., Konttila, J., Männistö, M., & Kääriäinen, M. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.101996 · Cited by 36 · see citing works
Xiao, H., Zhang, Z., & Zhang, L. (2021) · Current Psychology · doi:10.1007/s12144-021-02253-x · Cited by 34 · see citing works
Sharevski, F., Huff, A., Jachim, P., & Pieroni, E. (2022) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2022.100059 · Cited by 32 · see citing works
Sun, J., & Lee, S. K. (2023) · Current Psychology · doi:10.1007/s12144-023-04726-7 · Cited by 35 · see citing works
Cuadrado, E., Maldonado, M. Á., Tabernero, C., Arenas, A., Castillo‐Mayén, R., & Luque, B. (2021) · International Journal of Public Health · doi:10.3389/ijph.2021.1604260 · Cited by 30 · see citing works
Harnessing Youth Engagement With Mental Health TikTok and Its Potential as a Public Health Tool
Chochol, M. D., Gandhi, K. D., Elmaghraby, R., & Croarkin, P. E. (2023) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2022.11.015 · Cited by 30 · see citing works
Huang, M., Saleh, M. S. M., & Zolkepli, I. A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e25948 · Cited by 28 · see citing works
Xu, Y., Li, Y., Zhang, Q.-F., Yue, X.-H., & Ye, Y. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.890317 · Cited by 35 · see citing works
Pelău, C., Pop, M.-I., Stanescu, M., & Sanda, G. (2023) · Electronics · doi:10.3390/electronics12020423 · Cited by 36 · see citing works
Generation Z’s Health Information Avoidance Behavior: Insights From Focus Group Discussions
Jia, C., & Li, P. (2024) · Journal of Medical Internet Research · doi:10.2196/54107 · Cited by 27 · see citing works
Xue, J., Huang, H. M., Guo, Z., Chen, J., & Feng, W. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108449 · Cited by 33 · see citing works
Kostić, J. O., Pedović, I., & Stošić, M. (2022) · Acta Psychologica · doi:10.1016/j.actpsy.2022.103667 · Cited by 30 · see citing works
Li, W., & Khan, A. N. (2022) · INQUIRY The Journal of Health Care Organization Provision and Financing · doi:10.1177/00469580221109677 · Cited by 28 · see citing works
Wong, J., Yi, P. X., Quek, F. Y. X., Lua, V. Y. Q., Majeed, N. M., & Hartanto, A. (2024) · Current Psychology · doi:10.1007/s12144-022-04092-w · Cited by 27 · see citing works
Hossain, S., Batcha, M. S., Atoum, I. A., Ahmad, N., & Al-Shehri, A. (2022) · Sustainability · doi:10.3390/su142416388 · Cited by 31 · see citing works
Soroya, S. H., & Faiola, A. J. (2023) · Library Hi Tech · doi:10.1108/lht-02-2022-0113 · Cited by 27 · see citing works
Farooq, A., Dahabiyeh, L., & Javed, Y. (2023) · Online Information Review · doi:10.1108/oir-04-2022-0232 · Cited by 26 · see citing works
Wu, M., & Pei, Y. (2022) · Telematics and Informatics Reports · doi:10.1016/j.teler.2022.100020 · Cited by 25 · see citing works
Pang, H., Ji, M., & Hu, X. (2022) · Healthcare · doi:10.3390/healthcare11010006 · Cited by 24 · see citing works
Assessment of Physical Well-Being and Leisure Time of Polish Students during the COVID-19 Outbreak
Jaskulska, S., Jankowiak, B., Marciniak, M., & Klichowski, M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148358 · Cited by 23 · see citing works
Screen time, phone usage, and social media usage: Before and during the COVID-19 pandemic
Voss, C., Shorter, P., Mueller, J., & Turner, K. (2023) · Digital Health · doi:10.1177/20552076231171510 · Cited by 23 · see citing works
Coyne, S. M., Rogers, A. A., Shawcroft, J. E., Reschke, P. J., Barr, R., Davis, E. J., Holmgren, H. G., & Domoff, S. E. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107360 · Cited by 22 · see citing works
Fan, W., Osman, S., Zainudin, N., & Yao, P. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e31603 · Cited by 22 · see citing works
Silanoi, W., Naruetharadhol, P., & Ponsree, K. (2023) · Social Sciences · doi:10.3390/socsci12040198 · Cited by 24 · see citing works
Youth insight about social media effects on well/ill-being and self-modulating efforts
Harness, J., Fitzgerald, K., Sullivan, H., & Selkie, E. (2022) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2022.04.011 · Cited by 20 · see citing works
Yan, Q., Chen, Y., Jiang, Y., & Chen, H. (2022) · Current Psychology · doi:10.1007/s12144-022-02904-7 · Cited by 19 · see citing works
Wang, H., & Xiong, L. (2022) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2022.102925 · Cited by 19 · see citing works
Kumalasari, R., & Priharsari, D. (2023) · Telematics and Informatics Reports · doi:10.1016/j.teler.2023.100083 · Cited by 19 · see citing works
The impact of loneliness on the six dimensions of online disinhibition
Mueller-Coyne, J., Voss, C., & Turner, K. L. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100169 · Cited by 16 · see citing works
Zhou, Z., Luo, D., Yang, B. X., & Liu, Z. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.876995 · Cited by 23 · see citing works
A Communication Study of Young Adults and Online Dependency during the COVID-19 Pandemic
Silveira, P., Morais, R. J. P., & Petrella, S. (2022) · Societies · doi:10.3390/soc12040109 · Cited by 17 · see citing works
Che, S., Zhang, S., & Kim, J. H. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1039405 · Cited by 24 · see citing works
Agrawal, D. K. (2023) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-10-2022-0364 · Cited by 17 · see citing works
Piko, B. F., Krajczár, S. K., & Kiss, H. (2024) · Youth · doi:10.3390/youth4010025 · Cited by 22 · see citing works
Chen, X., Lin, F., & Cheng, E. W. (2021) · Journal of Medical Internet Research · doi:10.2196/31088 · Cited by 18 · see citing works
Wang, Y., Xu, J., & Xie, T. (2023) · International Journal of Public Health · doi:10.3389/ijph.2022.1605363 · Cited by 18 · see citing works
Cheng, X., Zhang, S., & Yang, B. (2024) · Internet Research · doi:10.1108/intr-05-2023-0390 · Cited by 16 · see citing works
- Authors
- Liu, H., Liu, W., Yoganathan, V., & Osburg, V.-S.
- Affiliations
- University of Southampton (GB)
- Zhongnan University of Economics and Law (CN)
- University of Sheffield (GB)
- Université de Montpellier (FR)
- Corresponding author
- Liu, Hongfei
- Liu, Wentong
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 166
- Pages
- 120600
- ISSN
- 0040-1625 (ISSN-L)
- PMC
- PMC8640972
- OpenAlex
- W3119780559
- Cited by
- 372
- References
- 93
- Citations by year
- 2026: 29 · 2025: 62 · 2024: 67 · 2023: 90 · 2022: 92 · 2021: 32
- FWCI
- 92.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Technological Forecasting and Social Change (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Topics
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Keywords
- COVID-19 pandemic, information overload, Generation Z, social media fatigue, fear of COVID-19, fear of missing out, psychological well-being, youth mental health, pandemic lockdown, social media use
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
