Pay or leave? The role of social media fatigue and willingness to pay to avoid fake news in social networks use
Abstract
Social media networks are a technological phenomenon that has changed the entire social environment, as many real-world activities have shifted to posts or comments on social media. However, with this development several negative aspects have been revealed, such as information overload, privacy concerns and fake news. The aim of our research is to determine the impact fake news has on social media fatigue and discontinuous behavior and whether the willingness to pay to avoid fake news impacts this relationship. The results of two mediation models show that fake news positively affects social media fatigue, but there is no direct effect on the discontinuous use of social media. However, social media fatigue partly mediates the relationship between the awareness of fake news existence and discontinuous behavior. Furthermore, social media fatigue increases the willingness to pay for quality content, but contrary to our expectations, it does not reduce discontinuous behavior. This shows that the fake news phenomenon is far more complex, with other factors affecting it. Furthermore, imposing a price to avoid fake news is not a solution as users do not necessarily see value in this, but prefer to avoid social media so as not to have to deal with social media fatigue.
Keyword : social media networks, social media fatigue, willingness to pay, quality content, fake news, discontinuous behavior
How to Cite
Dinu, V., Pelau, C., Lile, R., & Boghicevici, C. (2024). Pay or leave? The role of social media fatigue and willingness to pay to avoid fake news in social networks use. Journal of Business Economics and Management, 25(3), 516–530. https://doi.org/10.3846/jbem.2024.21604
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Ahmed, R. R., Qureshi, J. A., Arshad, F., Hashem, A. R., Channar, Z. A., Parmar, V., & Salleh, N. Z. M. (2022). The social media break-up: Psycho-behavioral measures and implications. IEEE Access, 10, 58116–58135. https://doi.org/10.1109/ACCESS.2022.3178839
Allcott, H., Gentzkow, M., & Yu, C. (2019). Trends in the diffusion of misinformation on social media. Research and Politics, 6(2). https://doi.org/10.1177/2053168019848554
Annisette, L. E., & Lafreniere, K. D. (2017). Social media, texting, and personality: A test of the shallowing hypothesis. Personality and Individual Differences, 115, 154–158. https://doi.org/10.1016/j.paid.2016.02.043
Apuke, O. D., & Omar, B. (2021). Fake news and COVID-19: Modelling the predictors of fake news sharing among social media users. Telematics and Informatics, 56, Article 101475. https://doi.org/10.1016/j.tele.2020.101475
Balakrishnan, V., Ng, K. S., & Rahim, H. A. (2021). To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia. Technology in Society, 66, Article 101676. https://doi.org/10.1016/j.techsoc.2021.101676
Bastick, Z. (2021). Would you notice if fake news changed your behavior? An experiment on the unconscious effects of disinformation. Computers in Human Behavior, 116, Article 106633. https://doi.org/10.1016/j.chb.2020.106633
Beisecker, S., Schlereth, C., & Hein, S. (2024). Shades of fake news: How fallacies influence consumers’ perception. European Journal of Information Systems, 33(1), 41–60. https://doi.org/10.1080/0960085X.2022.2110000
Berkowitz, D., & Schwartz, D. A. (2016). Miley, CNN and the onion: When fake news becomes realer than real. Journalism Practice, 10(1), 1–17. https://doi.org/10.1080/17512786.2015.1006933
Bermes, A. (2021). Information overload and fake news sharing: A transactional stress perspective exploring the mitigating role of consumers’ resilience during COVID-19. Journal of Retailing and Consumer Services, 61, Article 102555. https://doi.org/10.1016/j.jretconser.2021.102555
Berthon, P. R., & Pitt, L. F. (2018). Brands, truthiness and post-fact: Managing brands in a post-rational world. Journal of Macromarketing, 38(2), 218–227. https://doi.org/10.1177/0276146718755869
Beyens, I., Frison, E., & Eggermont, S. (2016). “I don’t want to miss a thing”: Adolescents’ fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress. Computers in Human Behavior, 64, 1–8. https://doi.org/10.1016/j.chb.2016.05.083
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. https://doi.org/10.1016/j.chb.2014.11.048
Brisson, J., Markovits, H., Robert, S., & Schaeken, W. (2018). Reasoning from an incompatibility: False dilemma fallacies and content effects. Memory & Cognition, 46(5), 657–670. https://doi.org/10.3758/s13421-018-0804-x
Bronstein, M. V., Pennycook, G., Bear, A., Rand, D. G., & Cannon, T. D. (2019). Belief in fake news is associated with delusionality, dogmatism, religious fundamentalism, and reduced analytic thinking. Journal of Applied Research in Memory and Cognition, 8(1), 108–117. https://doi.org/10.1016/j.jarmac.2018.09.005
Burkhardt, J. M. (2017). History of fake news… Library Technology Reports, 53(8), 5–9. https://doi.org/10.5860/ltr.53n8
Calvillo, D. P., Garcia, R. J. B., Bertrand, K., & Mayers, T. A. (2021). Personality factors and self-reported political news consumption predict susceptibility to political fake news. Personality and Individual Differences, 174, Article 110666. https://doi.org/10.1016/j.paid.2021.110666
Cao, X., & Sun, J. (2018). Exploring the effect of overload on the discontinuous intention of social media users: An S-O-R perspective. Computers in Human Behavior, 81, 10–18. https://doi.org/10.1016/j.chb.2017.11.035
Colliander, J. (2019). “This is fake news”: Investigating the role of conformity to other users’ views when commenting on and spreading disinformation in social media. Computers in Human Behavior, 97, 202–215. https://doi.org/10.1016/j.chb.2019.03.032
Dhir, A., Kaur, P., Chen, S., & Pallesene, S. (2019). Antecedents and consequences of social media fatigue. International Journal of Information Management, 48, 193–202. https://doi.org/10.1016/j.ijinfomgt.2019.05.021
Diehl, T., & Lee, S. (2022). Testing the cognitive involvement hypothesis on social media: ’News finds me’ perceptions, partisanship, and fake news credibility. Computers in Human Behavior, 128, Article 107121. https://doi.org/10.1016/j.chb.2021.107121
Dinga, E. (2022). Social time and the economics of science. Amfiteatru Economic, 24(16), 934–953. https://doi.org/10.24818/EA/2022/S16/934
Domenico, G. D., Sit, J., Ishizaka, A., & Nunan, D. (2021). Fake news, social media and marketing: A systematic review. Journal of Business Research, 124, 329–341. https://doi.org/10.1016/j.jbusres.2020.11.037
Fu, P. W., Wu, C. C., & Cho, Y. J. (2017). What makes users share content on Facebook? Compatibility among psychological incentive, social capital focus, and content type. Computers in Human Behavior, 67, 23–32. https://doi.org/10.1016/j.chb.2016.10.010
Gaudioso, F., Turel, O., & Galimberti, C. (2017). The mediating roles of strain facets and coping strategies in translating techno-stressors into adverse job outcomes. Computers in Human Behavior, 69, 189–196. https://doi.org/10.1016/j.chb.2016.12.041
Gentzkow, M. A., & Shapiro, J. M. (2010). What drives media slant? Evidence from U.S. daily newspapers. Econometrica, 78(1), 35–71. https://doi.org/10.3982/ecta7195
Georgescu, B., Onete, C. B., Pleșea, D. A., Chița, S. D., & Sava, S. (2022). Consumer attitude towards the use of blockchain technology. Study on the implementation of the “Green Deal” strategy for organic foods. Amfiteatru Economic, 24(60), 379–394. https://doi.org/10.24818/EA/2022/60/379
Gil de Zuniga, H., Weeks, B., & Ardevol-Abreu, A. (2017). Effects of the news-finds-me perception in communication: Social media use implications for news seeking and learning about politics. Journal of Computer-Mediated Communication, 22(3), 105–123. https://doi.org/10.1111/jcc4.12185
Hardy, G. E., Shapiro, D. A., & Borrill, C. S. (1997). Fatigue in the workforce of national health service trusts: Levels of symptomatology and links with minor psychiatric disorder, demographic, occupational and work role factors. Journal of Psychosomatic Research, 43(1), 83–92. https://doi.org/10.1016/S0022-3999(97)00019-6
Hattingh, M., Dhir, A., Ractham, P., Ferraris, A., & Yahiaoui, D. (2022). Factors mediating social media-induced fear of missing out (FoMO) and social media fatigue: A comparative study among Instagram and Snapchat users. Technological Forecasting and Social Change, 185, Article 122099. https://doi.org/10.1016/j.techfore.2022.122099
Heiss, R., Nanz, A., & Matthes, J. (2023). Social media information literacy: Conceptualization and associations with information overload, news avoidance and conspiracy mentality. Computers in Human Behavior, 148, Article 107908. https://doi.org/10.1016/j.chb.2023.107908
Hernon, P. (1995). Disinformation and misinformation through the internet: Findings of an exploratory study. Government Information Quarterly, 12(2), 133–139. https://doi.org/10.1016/0740-624X(95)90052-7
Jabeen, F., Tandon, A., Sithipolvanichgul, J., Srivastava, S., & Dhir, A. (2023). Social media-induced fear of missing out (FoMO) and social media fatigue: The role of narcissism, comparison and disclosure. Journal of Business Research, 159, Article 113693. https://doi.org/10.1016/j.jbusres.2023.113693
Jora, O. D., Damoc, A. I., Rosca, V. I., Apavaloaei, M. A., & Iacob, M. (2022). “Cyberspace Ecologism 4.0”: Between software softeners of and hardware hardships on the natural environment. Amfiteatru Economic, 24(59), 9–27. https://doi.org/10.24818/EA/2022/59/9
Kang, J. W., & Namkung, Y. (2019). The information quality and source credibility matter in customers’ evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189–198. https://doi.org/10.1016/j.ijhm.2018.10.011
Keersmaecker, J. D., & Roets, A. (2017). Fake news’: Incorrect, but hard to correct. The role of cognitive ability on the impact of false information on social impressions. Intelligence, 65, 107–110. https://doi.org/10.1016/j.intell.2017.10.005
Kondort, G., Pelau, C., Gati, M., & Ciofu, I. (2023). The role of fashion influencers in shaping consumers’ buying decisions and trends. Proceedings of the International Conference on Business Excellence, 17, 1009–1018. https://doi.org/10.2478/picbe-2023-0092
Lazar, L., & Pop, M. I. (2021). Impact of celebrity endorsement and breaking news effect on the attention of consumers. Studia Universitatis Vasile Goldis, 31(3), 60–74. https://doi.org/10.2478/sues-2021-0014
Lazarus, R. S. (1993). Coping theory and research: Past, present, and future. Psychosomatic Medicine, 55(3), 234–247. https://doi.org/10.1097/00006842-199305000-00002
Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61. https://doi.org/10.1016/j.chb.2015.08.011
Lee, S., & Chae, Y. (2012). Balancing participation and risks in children’s Internet use: The role of Internet literacy and parental mediation. Cyberpsychology, Behavior and Social Networking, 15, 257–262. https://doi.org/10.1089/cyber.2011.0552
Lee, S. K., Lindsey, N. J., & Kim, K. S. (2017). The effects of news consumption via social media and news information overload on perceptions of journalistic norms and practices. Computers in Human Behavior, 75, 254–263. https://doi.org/10.1016/j.chb.2017.05.007
Lin, S., Lin, J., Luo, X., & Liu, S. (2021). Juxtaposed effect of social media overload on discontinuous usage intention: The perspective of stress coping strategies. Information Processing & Management, 58(1), Article 102419. https://doi.org/10.1016/j.tele.2020.101374
Liu, H., Liu, W., Yoganathan, V., & Osburg, V. S. (2021). COVID-19 information overload and generation Z’s social media discontinuance intention during the pandemic lockdown. Technological Forecasting and Social Change, 166, Article 120600. https://doi.org/10.1016/j.techfore.2021.120600
Liu, N., An, H., Gao, X., Li, H., & Hao, X. (2016). Breaking news dissemination in the media via propagation behavior based on complex network theory. Physica A: Statistical Mechanics and its Applications, 453, 44–54. https://doi.org/10.1016/j.physa.2016.02.046
Lo, J. (2019). Exploring the buffer effect of receiving social support on lonely and emotionally unstable social networking users. Computers in Human Behavior, 90, 103–116. https://doi.org/10.1016/j.chb.2018.08.052
Maier, C., Laumer, S., Weinert, C., & 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. https://doi.org/10.1111/isj.12068
Martel, C., Pennycook, G., & Rand, D. G. (2020). Reliance on emotion promotes belief in fake news. Cognitive Research, 5, Article 47. https://doi.org/10.1186/s41235-020-00252-3
Mishra, A., & Samu, S. (2021). Impact of fake news on social image perceptions and consumers’ behavioral intentions. Journal of Consumer Marketing. https://doi.org/10.1108/JCM-05-2020-3857
Obada, D. R., & Dabija, D. C. (2022). The mediation effects of social media usage and sharing fake news about companies. Behavioral Sciences, 12(10), Article 372. https://doi.org/10.3390/bs12100372
Özgür, K., & Türkay, H. (2014). Privacy in social networks: An analysis of Facebook. International Journal of Information Management, 34, 761–769. https://doi.org/10.1016/j.ijinfomgt.2014.07.006
Pelau, C., Pop, M. I., Stanescu, M., & Sanda, G. (2023). The breaking news effect and its impact on the credibility and trust in information posted on social media. Electronics, 12(2), Article 423. https://doi.org/10.3390/electronics12020423
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2
Pirkkalainen, H., Salo, M., Tarafdar, M., & Makkonen, M. (2019). Deliberate or instinctive? Proactive and reactive coping for technostress. Journal of Management Information Systems, 36(4), 1179–1212. https://doi.org/10.1080/07421222.2019.1661092
Ringle, C. M., Wende, S., & Becker, J. M. (2022). SmartPLS 4. Boenningstedt: SmartPLS. https://www.smartpls.com
Sampat, B., & Raj, S. (2022). Fake or real news? Understanding the gratifications and personality traits of individuals sharing fake news on social media platforms. Journal of Information Management, 74(5), 840–876. https://doi.org/10.1108/AJIM-08-2021-0232
Shibutani, T. (1966). Improvised news: A sociological study of rumor. Irvington Pub.
Sindermann, C., Yang, H., Yang, S., Elhai, J. D., & Montag, C. (2022). Willingness to accept (WTA), willingness to pay (WTP), and the WTA/WTP disparity in Chinese social media platforms: Descriptive statistics and associations with personality and social media use. Acta Psychologica, 223, Article 103462. https://doi.org/10.1016/j.actpsy.2021.103462
Steenbuch Traberg, C., & van der Linden, S. (2022). Birds of a feather are persuaded together: Perceived source credibility mediates the effect of political bias on misinformation susceptibility. Personality and Individual Differences, 185, Article 111269. https://doi.org/10.1016/j.paid.2021.111269
Tandoc, E. C. Jr., Lim, Z. W., & Ling, R. (2018a). Defining “Fake News”: A typology of scholarly definitions. Digital Journalism, 6(2), 137–153. https://doi.org/10.1080/21670811.2017.1360143
Tandoc, E. C. Jr., Ling, R., Westlund, O., Duffy, A., Goh, D., & Zheng Wei, L. (2018b). Audiences’ acts of authentication in the age of fake news: A conceptual framework. New Media & Society, 20(8), 2745–2763. https://doi.org/10.1177/1461444817731756
Thompson, N., Wang, X., & Daya, P. (2019). Determinants of news sharing behavior on social media. Journal of Computer Information Systems, 60(6), 593–601. https://doi.org/10.1080/08874417.2019.1566803
Trifan, V., & Pantea, M. F. (2023). The receptivity of younger generation Romanian employees to new technology implementation and its impact on the balance between work and life. Journal of Business Economics and Management, 24(3), 489–505. https://doi.org/10.3846/jbem.2023.19500
van der Linden, S., Panagopoulos, C., & Roozenbeek, J. (2020). You are fake news: Political bias in perceptions of fake news. Media, Culture & Society, 42(3), 460–470. https://doi.org/10.1177/0163443720906992
Van Duyn, E., & Collier, J. (2019). Priming and fake news: The effects of elite discourse on evaluations of news media. Mass Communication and Society, 22(1), 29–48. https://doi.org/10.1080/15205436.2018.1511807
Verma, N., Fleischmann, K.R. & Koltai, K.S. (2017). Human values and trust in scientific journals, the mainstream media and fake news. In S. Erdelez & N. K. Agarwal (Eds.), Proceedings of the Association for Information Science and Technology (pp. 426–435). Wiley.
Visentin, M., Pizzi, G., & Pichierri, M. (2019). Fake news, real problems for brands: The impact of content truthfulness and source credibility on consumers’ behavioral intentions toward the advertised brands. Journal of Interactive Marketing, 45, 99–112. https://doi.org/10.1016/j.intmar.2018.09.001
Vista, A. (2015). Mass media, the ‘sensational message’, and metamorphic truths. Telematics and Informatics, 32(2), 416–423. https://doi.org/10.1016/j.tele.2014.05.005
Wei, L., Gong, J., Xu, J., Abidin, N. E. Z., & Apuke, O. D. (2023). Do social media literacy skills help in combating fake news spread? Modelling the moderating role of social media literacy skills in the relationship between rational choice factors and fake news sharing behavior. Telematics and Informatics, 76, Article 101910. https://doi.org/10.1016/j.tele.2022.101910
Westerman, D., Spence, P. R., & Heide, B. V. D. (2014). Social media as information source: Recency of updates and credibility of information. Journal of Computer-Mediated Communication, 19(2), 171–183. https://doi.org/10.1111/jcc4.12041
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. https://doi.org/10.1016/j.chb.2019.08.001
Zannettou, S., Sirivianos, M., Blackburn, J., & Kourtellis, N. (2019) The web of false information: Rumors, fake news, hoaxes, clickbait, and various other shenanigans. Journal of Data and Information Quality, 11(3), 1–37. https://doi.org/10.1145/3309699
Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information Management, 53, 904–914. https://doi.org/10.1016/j.im.2016.03.006
Zhang, X., & Ghorbani, A. A. (2020). An overview of online fake news: Characterization, detection, and discussion. Information Processing and Management, 57(2), Article 102025. https://doi.org/10.1016/j.ipm.2019.03.004
Allcott, H., Gentzkow, M., & Yu, C. (2019). Trends in the diffusion of misinformation on social media. Research and Politics, 6(2). https://doi.org/10.1177/2053168019848554
Annisette, L. E., & Lafreniere, K. D. (2017). Social media, texting, and personality: A test of the shallowing hypothesis. Personality and Individual Differences, 115, 154–158. https://doi.org/10.1016/j.paid.2016.02.043
Apuke, O. D., & Omar, B. (2021). Fake news and COVID-19: Modelling the predictors of fake news sharing among social media users. Telematics and Informatics, 56, Article 101475. https://doi.org/10.1016/j.tele.2020.101475
Balakrishnan, V., Ng, K. S., & Rahim, H. A. (2021). To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia. Technology in Society, 66, Article 101676. https://doi.org/10.1016/j.techsoc.2021.101676
Bastick, Z. (2021). Would you notice if fake news changed your behavior? An experiment on the unconscious effects of disinformation. Computers in Human Behavior, 116, Article 106633. https://doi.org/10.1016/j.chb.2020.106633
Beisecker, S., Schlereth, C., & Hein, S. (2024). Shades of fake news: How fallacies influence consumers’ perception. European Journal of Information Systems, 33(1), 41–60. https://doi.org/10.1080/0960085X.2022.2110000
Berkowitz, D., & Schwartz, D. A. (2016). Miley, CNN and the onion: When fake news becomes realer than real. Journalism Practice, 10(1), 1–17. https://doi.org/10.1080/17512786.2015.1006933
Bermes, A. (2021). Information overload and fake news sharing: A transactional stress perspective exploring the mitigating role of consumers’ resilience during COVID-19. Journal of Retailing and Consumer Services, 61, Article 102555. https://doi.org/10.1016/j.jretconser.2021.102555
Berthon, P. R., & Pitt, L. F. (2018). Brands, truthiness and post-fact: Managing brands in a post-rational world. Journal of Macromarketing, 38(2), 218–227. https://doi.org/10.1177/0276146718755869
Beyens, I., Frison, E., & Eggermont, S. (2016). “I don’t want to miss a thing”: Adolescents’ fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress. Computers in Human Behavior, 64, 1–8. https://doi.org/10.1016/j.chb.2016.05.083
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. https://doi.org/10.1016/j.chb.2014.11.048
Brisson, J., Markovits, H., Robert, S., & Schaeken, W. (2018). Reasoning from an incompatibility: False dilemma fallacies and content effects. Memory & Cognition, 46(5), 657–670. https://doi.org/10.3758/s13421-018-0804-x
Bronstein, M. V., Pennycook, G., Bear, A., Rand, D. G., & Cannon, T. D. (2019). Belief in fake news is associated with delusionality, dogmatism, religious fundamentalism, and reduced analytic thinking. Journal of Applied Research in Memory and Cognition, 8(1), 108–117. https://doi.org/10.1016/j.jarmac.2018.09.005
Burkhardt, J. M. (2017). History of fake news… Library Technology Reports, 53(8), 5–9. https://doi.org/10.5860/ltr.53n8
Calvillo, D. P., Garcia, R. J. B., Bertrand, K., & Mayers, T. A. (2021). Personality factors and self-reported political news consumption predict susceptibility to political fake news. Personality and Individual Differences, 174, Article 110666. https://doi.org/10.1016/j.paid.2021.110666
Cao, X., & Sun, J. (2018). Exploring the effect of overload on the discontinuous intention of social media users: An S-O-R perspective. Computers in Human Behavior, 81, 10–18. https://doi.org/10.1016/j.chb.2017.11.035
Colliander, J. (2019). “This is fake news”: Investigating the role of conformity to other users’ views when commenting on and spreading disinformation in social media. Computers in Human Behavior, 97, 202–215. https://doi.org/10.1016/j.chb.2019.03.032
Dhir, A., Kaur, P., Chen, S., & Pallesene, S. (2019). Antecedents and consequences of social media fatigue. International Journal of Information Management, 48, 193–202. https://doi.org/10.1016/j.ijinfomgt.2019.05.021
Diehl, T., & Lee, S. (2022). Testing the cognitive involvement hypothesis on social media: ’News finds me’ perceptions, partisanship, and fake news credibility. Computers in Human Behavior, 128, Article 107121. https://doi.org/10.1016/j.chb.2021.107121
Dinga, E. (2022). Social time and the economics of science. Amfiteatru Economic, 24(16), 934–953. https://doi.org/10.24818/EA/2022/S16/934
Domenico, G. D., Sit, J., Ishizaka, A., & Nunan, D. (2021). Fake news, social media and marketing: A systematic review. Journal of Business Research, 124, 329–341. https://doi.org/10.1016/j.jbusres.2020.11.037
Fu, P. W., Wu, C. C., & Cho, Y. J. (2017). What makes users share content on Facebook? Compatibility among psychological incentive, social capital focus, and content type. Computers in Human Behavior, 67, 23–32. https://doi.org/10.1016/j.chb.2016.10.010
Gaudioso, F., Turel, O., & Galimberti, C. (2017). The mediating roles of strain facets and coping strategies in translating techno-stressors into adverse job outcomes. Computers in Human Behavior, 69, 189–196. https://doi.org/10.1016/j.chb.2016.12.041
Gentzkow, M. A., & Shapiro, J. M. (2010). What drives media slant? Evidence from U.S. daily newspapers. Econometrica, 78(1), 35–71. https://doi.org/10.3982/ecta7195
Georgescu, B., Onete, C. B., Pleșea, D. A., Chița, S. D., & Sava, S. (2022). Consumer attitude towards the use of blockchain technology. Study on the implementation of the “Green Deal” strategy for organic foods. Amfiteatru Economic, 24(60), 379–394. https://doi.org/10.24818/EA/2022/60/379
Gil de Zuniga, H., Weeks, B., & Ardevol-Abreu, A. (2017). Effects of the news-finds-me perception in communication: Social media use implications for news seeking and learning about politics. Journal of Computer-Mediated Communication, 22(3), 105–123. https://doi.org/10.1111/jcc4.12185
Hardy, G. E., Shapiro, D. A., & Borrill, C. S. (1997). Fatigue in the workforce of national health service trusts: Levels of symptomatology and links with minor psychiatric disorder, demographic, occupational and work role factors. Journal of Psychosomatic Research, 43(1), 83–92. https://doi.org/10.1016/S0022-3999(97)00019-6
Hattingh, M., Dhir, A., Ractham, P., Ferraris, A., & Yahiaoui, D. (2022). Factors mediating social media-induced fear of missing out (FoMO) and social media fatigue: A comparative study among Instagram and Snapchat users. Technological Forecasting and Social Change, 185, Article 122099. https://doi.org/10.1016/j.techfore.2022.122099
Heiss, R., Nanz, A., & Matthes, J. (2023). Social media information literacy: Conceptualization and associations with information overload, news avoidance and conspiracy mentality. Computers in Human Behavior, 148, Article 107908. https://doi.org/10.1016/j.chb.2023.107908
Hernon, P. (1995). Disinformation and misinformation through the internet: Findings of an exploratory study. Government Information Quarterly, 12(2), 133–139. https://doi.org/10.1016/0740-624X(95)90052-7
Jabeen, F., Tandon, A., Sithipolvanichgul, J., Srivastava, S., & Dhir, A. (2023). Social media-induced fear of missing out (FoMO) and social media fatigue: The role of narcissism, comparison and disclosure. Journal of Business Research, 159, Article 113693. https://doi.org/10.1016/j.jbusres.2023.113693
Jora, O. D., Damoc, A. I., Rosca, V. I., Apavaloaei, M. A., & Iacob, M. (2022). “Cyberspace Ecologism 4.0”: Between software softeners of and hardware hardships on the natural environment. Amfiteatru Economic, 24(59), 9–27. https://doi.org/10.24818/EA/2022/59/9
Kang, J. W., & Namkung, Y. (2019). The information quality and source credibility matter in customers’ evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189–198. https://doi.org/10.1016/j.ijhm.2018.10.011
Keersmaecker, J. D., & Roets, A. (2017). Fake news’: Incorrect, but hard to correct. The role of cognitive ability on the impact of false information on social impressions. Intelligence, 65, 107–110. https://doi.org/10.1016/j.intell.2017.10.005
Kondort, G., Pelau, C., Gati, M., & Ciofu, I. (2023). The role of fashion influencers in shaping consumers’ buying decisions and trends. Proceedings of the International Conference on Business Excellence, 17, 1009–1018. https://doi.org/10.2478/picbe-2023-0092
Lazar, L., & Pop, M. I. (2021). Impact of celebrity endorsement and breaking news effect on the attention of consumers. Studia Universitatis Vasile Goldis, 31(3), 60–74. https://doi.org/10.2478/sues-2021-0014
Lazarus, R. S. (1993). Coping theory and research: Past, present, and future. Psychosomatic Medicine, 55(3), 234–247. https://doi.org/10.1097/00006842-199305000-00002
Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61. https://doi.org/10.1016/j.chb.2015.08.011
Lee, S., & Chae, Y. (2012). Balancing participation and risks in children’s Internet use: The role of Internet literacy and parental mediation. Cyberpsychology, Behavior and Social Networking, 15, 257–262. https://doi.org/10.1089/cyber.2011.0552
Lee, S. K., Lindsey, N. J., & Kim, K. S. (2017). The effects of news consumption via social media and news information overload on perceptions of journalistic norms and practices. Computers in Human Behavior, 75, 254–263. https://doi.org/10.1016/j.chb.2017.05.007
Lin, S., Lin, J., Luo, X., & Liu, S. (2021). Juxtaposed effect of social media overload on discontinuous usage intention: The perspective of stress coping strategies. Information Processing & Management, 58(1), Article 102419. https://doi.org/10.1016/j.tele.2020.101374
Liu, H., Liu, W., Yoganathan, V., & Osburg, V. S. (2021). COVID-19 information overload and generation Z’s social media discontinuance intention during the pandemic lockdown. Technological Forecasting and Social Change, 166, Article 120600. https://doi.org/10.1016/j.techfore.2021.120600
Liu, N., An, H., Gao, X., Li, H., & Hao, X. (2016). Breaking news dissemination in the media via propagation behavior based on complex network theory. Physica A: Statistical Mechanics and its Applications, 453, 44–54. https://doi.org/10.1016/j.physa.2016.02.046
Lo, J. (2019). Exploring the buffer effect of receiving social support on lonely and emotionally unstable social networking users. Computers in Human Behavior, 90, 103–116. https://doi.org/10.1016/j.chb.2018.08.052
Maier, C., Laumer, S., Weinert, C., & 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. https://doi.org/10.1111/isj.12068
Martel, C., Pennycook, G., & Rand, D. G. (2020). Reliance on emotion promotes belief in fake news. Cognitive Research, 5, Article 47. https://doi.org/10.1186/s41235-020-00252-3
Mishra, A., & Samu, S. (2021). Impact of fake news on social image perceptions and consumers’ behavioral intentions. Journal of Consumer Marketing. https://doi.org/10.1108/JCM-05-2020-3857
Obada, D. R., & Dabija, D. C. (2022). The mediation effects of social media usage and sharing fake news about companies. Behavioral Sciences, 12(10), Article 372. https://doi.org/10.3390/bs12100372
Özgür, K., & Türkay, H. (2014). Privacy in social networks: An analysis of Facebook. International Journal of Information Management, 34, 761–769. https://doi.org/10.1016/j.ijinfomgt.2014.07.006
Pelau, C., Pop, M. I., Stanescu, M., & Sanda, G. (2023). The breaking news effect and its impact on the credibility and trust in information posted on social media. Electronics, 12(2), Article 423. https://doi.org/10.3390/electronics12020423
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2
Pirkkalainen, H., Salo, M., Tarafdar, M., & Makkonen, M. (2019). Deliberate or instinctive? Proactive and reactive coping for technostress. Journal of Management Information Systems, 36(4), 1179–1212. https://doi.org/10.1080/07421222.2019.1661092
Ringle, C. M., Wende, S., & Becker, J. M. (2022). SmartPLS 4. Boenningstedt: SmartPLS. https://www.smartpls.com
Sampat, B., & Raj, S. (2022). Fake or real news? Understanding the gratifications and personality traits of individuals sharing fake news on social media platforms. Journal of Information Management, 74(5), 840–876. https://doi.org/10.1108/AJIM-08-2021-0232
Shibutani, T. (1966). Improvised news: A sociological study of rumor. Irvington Pub.
Sindermann, C., Yang, H., Yang, S., Elhai, J. D., & Montag, C. (2022). Willingness to accept (WTA), willingness to pay (WTP), and the WTA/WTP disparity in Chinese social media platforms: Descriptive statistics and associations with personality and social media use. Acta Psychologica, 223, Article 103462. https://doi.org/10.1016/j.actpsy.2021.103462
Steenbuch Traberg, C., & van der Linden, S. (2022). Birds of a feather are persuaded together: Perceived source credibility mediates the effect of political bias on misinformation susceptibility. Personality and Individual Differences, 185, Article 111269. https://doi.org/10.1016/j.paid.2021.111269
Tandoc, E. C. Jr., Lim, Z. W., & Ling, R. (2018a). Defining “Fake News”: A typology of scholarly definitions. Digital Journalism, 6(2), 137–153. https://doi.org/10.1080/21670811.2017.1360143
Tandoc, E. C. Jr., Ling, R., Westlund, O., Duffy, A., Goh, D., & Zheng Wei, L. (2018b). Audiences’ acts of authentication in the age of fake news: A conceptual framework. New Media & Society, 20(8), 2745–2763. https://doi.org/10.1177/1461444817731756
Thompson, N., Wang, X., & Daya, P. (2019). Determinants of news sharing behavior on social media. Journal of Computer Information Systems, 60(6), 593–601. https://doi.org/10.1080/08874417.2019.1566803
Trifan, V., & Pantea, M. F. (2023). The receptivity of younger generation Romanian employees to new technology implementation and its impact on the balance between work and life. Journal of Business Economics and Management, 24(3), 489–505. https://doi.org/10.3846/jbem.2023.19500
van der Linden, S., Panagopoulos, C., & Roozenbeek, J. (2020). You are fake news: Political bias in perceptions of fake news. Media, Culture & Society, 42(3), 460–470. https://doi.org/10.1177/0163443720906992
Van Duyn, E., & Collier, J. (2019). Priming and fake news: The effects of elite discourse on evaluations of news media. Mass Communication and Society, 22(1), 29–48. https://doi.org/10.1080/15205436.2018.1511807
Verma, N., Fleischmann, K.R. & Koltai, K.S. (2017). Human values and trust in scientific journals, the mainstream media and fake news. In S. Erdelez & N. K. Agarwal (Eds.), Proceedings of the Association for Information Science and Technology (pp. 426–435). Wiley.
Visentin, M., Pizzi, G., & Pichierri, M. (2019). Fake news, real problems for brands: The impact of content truthfulness and source credibility on consumers’ behavioral intentions toward the advertised brands. Journal of Interactive Marketing, 45, 99–112. https://doi.org/10.1016/j.intmar.2018.09.001
Vista, A. (2015). Mass media, the ‘sensational message’, and metamorphic truths. Telematics and Informatics, 32(2), 416–423. https://doi.org/10.1016/j.tele.2014.05.005
Wei, L., Gong, J., Xu, J., Abidin, N. E. Z., & Apuke, O. D. (2023). Do social media literacy skills help in combating fake news spread? Modelling the moderating role of social media literacy skills in the relationship between rational choice factors and fake news sharing behavior. Telematics and Informatics, 76, Article 101910. https://doi.org/10.1016/j.tele.2022.101910
Westerman, D., Spence, P. R., & Heide, B. V. D. (2014). Social media as information source: Recency of updates and credibility of information. Journal of Computer-Mediated Communication, 19(2), 171–183. https://doi.org/10.1111/jcc4.12041
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. https://doi.org/10.1016/j.chb.2019.08.001
Zannettou, S., Sirivianos, M., Blackburn, J., & Kourtellis, N. (2019) The web of false information: Rumors, fake news, hoaxes, clickbait, and various other shenanigans. Journal of Data and Information Quality, 11(3), 1–37. https://doi.org/10.1145/3309699
Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information Management, 53, 904–914. https://doi.org/10.1016/j.im.2016.03.006
Zhang, X., & Ghorbani, A. A. (2020). An overview of online fake news: Characterization, detection, and discussion. Information Processing and Management, 57(2), Article 102025. https://doi.org/10.1016/j.ipm.2019.03.004