The impact of digital disinformation on quality of life: a fuzzy model assessment
Abstract
Quality of Life (QoL) is a multifaceted concept encompassing economic, social, environmental, psychological, and physical dimensions of an individual’s life, including personal living conditions, happiness, well-being, and life satisfaction. As a vital criterion for sustainable development and active social policy in countries, QoL has been significantly influenced by the dynamic technological evolution of social media. However, the comprehensive impact of social media, including its role in disseminating disinformation – a major social and socio-economic concern – on QoL remains underexplored. This research aims to develop a novel fuzzy model to assess the level of disinformation on digital platforms and its correlation with the population’s QoL. Employing a mathematical approach rooted in expert evaluation, this study leverages intellectual knowledge analysis and fuzzy set theory. Grounded in data from real respondents and knowledge-based models, this study pioneers an information model to evaluate inhabitants’ QoL, incorporating factors such as financial concerns, perception of disinformation, and its influence on digital platforms. The fuzzy estimation model, verified with data from 3,036 respondents, quantitatively assesses citizens’ QoL. An illustrative application of the model demonstrates its effectiveness. The findings are particularly valuable for policymakers, experts in economic and innovative development, aiding the creation of regulatory and monitoring mechanisms to foster sustainable economic growth and devise effective development strategies.
Keyword : quality of life, digital platforms, disinformation, wellbeing, fuzzy set, information security, intellectual knowledge analysis
How to Cite
Gavurova, B., Moravec, V., Hynek, N., Miovsky, M., Polishchuk, V., Gabrhelik, R., Bartak, M., Petruzelka, B., & Stastna, L. (2024). The impact of digital disinformation on quality of life: a fuzzy model assessment. Technological and Economic Development of Economy, 30(4), 1120–1145. https://doi.org/10.3846/tede.2024.21577
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Agborsangaya, C. B., Lau, D., Lahtinen, M., Cooke, T., & Johnson, J. A. (2013). Health-related quality of life and healthcare utilization in multimorbidity: Results of a cross-sectional survey. Quality of Life Research, 22, 791–799. https://doi.org/10.1007/s11136-012-0214-7
Ahmad, T., Aliaga Lazarte, E. A., & Mirjalili, S. (2022). A systematic literature review on fake news in the COVID-19 pandemic: Can AI propose a solution? Applied Sciences, 12(24), Article 12727. https://doi.org/10.3390/app122412727
Albrecht, G. L., & Devlieger, P. J. (1999). The disability paradox: High quality of life against all odds. Social Science & Medicine, 48(8), 977–988. https://doi.org/10.1016/S0277-9536(98)00411-0
Anguzu, R., Nagavally, S., Dawson, A. Z., Walker, R. J., & Egede, L. E. (2021). Age and gender differences in trends and impact of depression on quality of life in the United States, 2008 to 2016. Women’s Health Issues, 31(4), 353–365. https://doi.org/10.1016/j.whi.2021.02.005
Barros da Silva Lima, A. F., Fleck, M., Pechansky, F., de Boni, R., & Sukop, P. (2005). Psychometric properties of the World Health Organization Quality of Life Instrument (WHOQoL-BREF) in alcoholic males: A pilot study. Quality of Life Research, 14, 473–478. https://doi.org/10.1007/s11136-004-5327-1
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
Borgström, Å., Daneback, K., & Molin, M. (2019). Young people with intellectual disabilities and social media: A literature review and thematic analysis. Scandinavian Journal of Disability Research, 21(1), 129–140. https://doi.org/10.16993/sjdr.549
Bramston, P., Chipuer, H., & Pretty, G. (2005). Conceptual principles of quality of life: An empirical exploration. Journal of Intellectual Disability Research, 49(10), 728–733. https://doi.org/10.1111/j.1365-2788.2005.00741.x
Campisi, J., Folan, D., Diehl, G., Kable, T., & Rademeyer, C. (2015). Social media users have different experiences, motivations, and quality of life. Psychiatry Research, 228(3), 774–780. https://doi.org/10.1016/j.psychres.2015.04.042
Caton, S., & Chapman, M. (2016). The use of social media and people with intellectual disability: A systematic review and thematic analysis. Journal of Intellectual and Developmental Disability, 41(2), 125–139. https://doi.org/10.3109/13668250.2016.1153052
Costanza, R., Fisher, B., Ali, S., Beer, C., Bond, L., Boumans, R., Danigelis, N. L., Dickinson, J., Elliott, C., Farley, J., Elliott Gayer, D., MacDonald Glenn, L., Hudspeth, T. R., Mahoney, D. F., McCahill, L., McIntosh, B., Reed, B., Abu Turab Rizvi, S., Rizzo, D. M., Simpatico, T., & Snapp, R. (2008). An integrative approach to quality of life measurement, research, and policy. Surveys and Perspectives Integrating Environment & Society, 1, 11–15. https://doi.org/10.5194/sapiens-1-11-2008
Dabbous, A., Aoun Barakat, K., & de Quero Navarro, B. (2022). Fake news detection and social media trust: A cross-cultural perspective. Behaviour & Information Technology, 41(14), 2953–2972. https://doi.org/10.1080/0144929x.2021.1963475
Data from 3,036 citizens to assess the level of disinformation spread on digital platforms [data set]. (2024). Retrieved January 11, 2024, from https://docs.google.com/spreadsheets/d/1q09l_ihruCcoWD6Of0nTroie1wBpMmnp/edit?usp=sharing&ouid=111497346858387909549&rtpof=true&sd=true
de Cock Buning, M. (2018). A multi-dimensional approach to disinformation: report of the independent High level Group on fake news and online disinformation. Publications Office of the European Union. https://hdl.handle.net/1814/70297
Dehghani, F., & Zareei Mahmoodabadi, H. (2018). The effect of using virtual social networks on depression, anxiety, and stress among young adults. Journal of Social Behavior and Community Health, 2(1), 174–180.
Edgerton, J. D., Roberts, L. W., & von Below, S. (2011). Education and quality of life. In Handbook of social indicators and quality of life research (pp. 265–296). https://doi.org/10.1007/978-94-007-2421-1_12
Eslami, S., Khalifah, Z., Mardani, A., Streimikiene, D., & Han, H. (2019). Community attachment, tourism impacts, quality of life and residents’ support for sustainable tourism development. Journal of Travel & Tourism Marketing, 36(9), 1061–1079. https://doi.org/10.1080/10548408.2019.1689224
Figl, K., Kießling, S., Rank, Ch., & Vakulenko, S. (2019). Fake news flags, cognitive dissonance, and the believability of social media posts. In ICIS 2019 Proceedings. 27. https://aisel.aisnet.org/icis2019/cyber_security_privacy_ethics_IS/cyber_security_privacy/27
Fischer, J. M., & Amekudzi, A. (2011). Quality of life, sustainable civil infrastructure, and sustainable development: Strategically expanding choice. Journal of Urban Planning and Development, 137(1), 39–48. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000039
Fitzpatrick, R., Fletcher, A., Gore, S., Jones, D., Spiegelhalter, D., & Cox, D. (1992). Quality of life measures in health care. I: Applications and issues in assessment. BMJ: British Medical Journal, 305(6861), Article 1074. https://doi.org/10.1136/bmj.305.6861.1074
Frost, R. L., & Rickwood, D. J. (2017). A systematic review of the mental health outcomes associated with Facebook use. Computers in Human Behavior, 76, 576–600. https://doi.org/10.1016/j.chb.2017.08.001
Grasso, M., & Canova, L. (2008). An assessment of the quality of life in the European Union based on the social indicators approach. Social Indicators Research, 87, 1–25. https://doi.org/10.1007/s11205-007-9158-7
Guntuku, S. C., Yaden, D. B., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2017). Detecting depression and mental illness on social media: an integrative review. Current Opinion in Behavioral Sciences, 18, 43–49. https://doi.org/10.1016/j.cobeha.2017.07.005
Haux, P., & Lund, E. (2018). The social media paradox. https://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8945952&fileOId=8945957
Humprecht, E., Esser, F., & Van Aelst, P. (2020). Resilience to online disinformation: A framework for cross-national comparative research. The International Journal of Press/Politics, 25(3), 493–516. https://doi.org/10.1177/1940161219900126
Chaaban, J., Irani, A., & Khoury, A. (2016). The composite global well-being index (CGWBI): A new multi-dimensional measure of human development. Social Indicators Research, 129, 465–487. https://doi.org/10.1007/s11205-015-1112-5
Cho, H., Cannon, J., Lopez, R., & Li, W. (2022a). Social media literacy: A conceptual framework. New Media & Society, 26(2), Article 14614448211068530. https://doi.org/10.1177/14614448211068530
Cho, K., Jung, K., Lee, M., Lee, Y., Park, J., & Dreamson, N. (2022b). Qualitative approaches to evaluating social media influencers: A case-based literature review. International Journal of Electronic Commerce Studies, 13(2), 119–136. https://doi.org/10.7903/ijecs.2025
Jeng, S. P., & Lo, M. F. (2019). Lowest price guarantees on airline websites: Perceived believability, perceived value, and purchase intentions. Journal of Air Transport Management, 75, 85–91. https://doi.org/10.1016/j.jairtraman.2018.12.002
Katsirea, I. (2018). “Fake news”: Reconsidering the value of untruthful expression in the face of regulatory uncertainty. Journal of Media Law, 10(2), 159–188. https://doi.org/10.1080/17577632.2019.1573569
Khan, M. L., & Idris, I. K. (2019). Recognise misinformation and verify before sharing: A reasoned action and information literacy perspective. Behaviour & Information Technology, 38(12), 1194–1212. https://doi.org/10.1080/0144929x.2019.1578828
Kellner, D. (2021). Globalization, technopolitics and revolution. In Technology and Democracy: Toward A Critical Theory of Digital Technologies, Technopolitics, and Technocapitalism. Medienkulturen im digitalen Zeitalter. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-31790-4_6
Kim, S., & Kim, D. (2012). Does government make people happy?: Exploring new research directions for government’s roles in happiness. Journal of Happiness Studies, 13, 875–899. https://doi.org/10.1007/s10902-011-9296-0
Kumar, A., Shankar, A., Behl, A., Arya, V., & Gupta, N. (2023). Should I share it? Factors influencing fake news-sharing behaviour: A behavioural reasoning theory perspective. Technological Forecasting and Social Change, 193, Article 122647. https://doi.org/10.1016/j.techfore.2023.122647
Leimgruber, W. (2020). Civil society vs. globalization and marginalization: Polarized vs. organic thinking. In B. Fuerst-Bjeliš & W. Leimgruber (Eds.), Globalization, marginalization and conflict: Political, economic and social processes (pp. 15–29). Springer. https://doi.org/10.1007/978-3-030-53218-5_2
Lim, M. S., & Choi, S. B. (2017). Stress caused by social media network applications and user responses. Multimedia Tools and Applications, 76, 17685–17698. https://doi.org/10.1007/s11042-015-2891-z
Lohani, A. (2021). Countering disinformation and hate speech online: Regulation and user behavioural change. Observer Research Foundation Occasional Paper. https://www.orfonline.org/research/countering-disinformation-and-hate-speech-online
Lotfi, S., & Koohsari, M. J. (2009). Analyzing accessibility dimension of urban quality of life: Where urban designers face duality between subjective and objective reading of place. Social Indicators Research, 94, 417–435. https://doi.org/10.1007/s11205-009-9438-5
Machimbarrena, J., González-Cabrera, J., Ortega-Barón, J., Beranuy-Fargues, M., Álvarez-Bardón, A., & Tejero, B. (2019). Profiles of problematic internet use and its impact on adolescents’ health-related quality of life. International Journal of Environmental Research and Public Health, 16, Article 3877. https://doi.org/10.3390/ijerph16203877
Martel, J. P., & Dupuis, G. (2006). Quality of work life: Theoretical and methodological problems, and presentation of a new model and measuring instrument. Social Indicators Research, 77, 333–368. https://doi.org/10.1007/s11205-004-5368-4
Martínez-Costa, M. P., López-Pan, F., Buslón, N., & Salaverría, R. (2023). Nobody-fools-me perception: Influence of age and education on overconfidence about spotting disinformation. Journalism Practice, 17(10), 2084–2102. https://doi.org/10.1080/17512786.2022.2135128
Mayo, R. (2023). Trust or distrust? Neither! The right mindset for confronting disinformation. Current Opinion in Psychology, 56, 101779. https://doi.org/10.1016/j.copsyc.2023.101779
McCloskey, W., Iwanicki, S., Lauterbach, D., Giammittorio, D. M., & Maxwell, K. (2015). Are Facebook “friends” helpful? Development of a Facebook-based measure of social support and examination of relationships among depression, quality of life, and social support. Cyberpsychology, Behavior, and Social Networking, 18(9), 499–505. https://doi.org/10.1089/cyber.2014.0538
Mikal, M. A., Ramezan, E. P., Amar, T., & Bigdeli, A. (2016). spatial analysis of quality of life in economic dimension of villages of Lahijan Town. Journal of Social Sciences and Humanities Research, 4(4), 13–20.
Mirella, R., Warner, R., Giulia, B., & Laura, F. (2001). Subjective and objective dimensions of quality of life in psychiatric patients: A factor analytical approach. The British Journal of Psychiatry, 178(3), 268–275. https://doi.org/10.1192/bjp.178.3.268
Mittal, S., Chadchan, J., & Mishra, S. K. (2020). Review of concepts, tools and indices for the assessment of urban quality of life. Social Indicators Research, 149, 187–214. https://doi.org/10.1007/s11205-019-02232-7
Moons, P., Budts, W., & De Geest, S. (2006). Critique on the conceptualisation of quality of life: a review and evaluation of different conceptual approaches. International Journal of Nursing Studies, 43(7), 891–901. https://doi.org/10.1016/j.ijnurstu.2006.03.015
Nguyen, M. H., Pham, T. T. M., Nguyen, K. T., Nguyen, Y. H., Tran, T. V., Do, B. N., Dao, H. K., Nguyen, H. C., Do, N. T., Ha, T. H., Phan, D. T., Pham, K. M., Pham, L. V., Nguyen, P. B., Nguyen, H. T. T., Do, T. V., Ha, D. T., Nguyen, H. T., Ngo, H. T. M., … Van Duong, T. (2021). Negative impact of fear of COVID-19 on health-related quality of life was modified by health literacy, ehealth literacy, and digital healthy diet literacy: A multi-hospital survey. International Journal of Environmental Research and Public Health, 18(9), Article 4929. https://doi.org/10.3390/ijerph18094929
Noguti, V., Singh, S., & Waller, D. S. (2019). Gender differences in motivations to use social networking sites. In Gender economics: Breakthroughs in research and practice (pp. 676-691). IGI Global. https://doi.org/10.4018/978-1-5225-6912-1.ch081
Nyhan, B., & Reifler, J. (2010). When corrections fail: The persistence of political misperceptions. Political Behavior, 32, 303–330. https://doi.org/10.1007/s11109-010-9112-2
Oh, S., & Syn, S. Y. (2015). Motivations for sharing information and social support in social media: A comparative analysis of Facebook, Twitter, Delicious, You Tube, and Flickr. Journal of the Association for Information Science and Technology, 66(10), 2045–2060. https://doi.org/10.1002/asi.23320
Oleś, M. (2016). Dimensions of identity and subjective quality of life in adolescents. Social Indicators Research, 126, 1401–1419. https://doi.org/10.1007/s11205-015-0942-5
Petratos, P. N. (2021). Misinformation, disinformation, and fake news: Cyber risks to business. Business Horizons, 64(6), 763–774. https://doi.org/10.1016/j.bushor.2021.07.012
Phillips, D. (2006). Quality of Life: Concept, policy and practice. Routledge. https://doi.org/10.4324/9780203356630
Prado-Lorenzo, J. M., García-Sánchez, I. M., & Cuadrado-Ballesteros, B. (2012). Sustainable cities: Do political factors determine the quality of life? Journal of Cleaner Production, 21(1), 34–44. https://doi.org/10.1016/j.jclepro.2011.08.021
Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among US young adults. Computers in Human Behavior, 69, 1–9. https://doi.org/10.1016/j.chb.2016.11.013
Radovic, A., Gmelin, T., Stein, B. D., & Miller, E. (2017). Depressed adolescents’ positive and negative use of social media. Journal of Adolescence, 55, 5–15. https://doi.org/10.1016/j.adolescence.2016.12.002
Righetto, G. G., Muriel-Torrado, E., & Vitorino, E. V. (2021). “Imbecilization” in the disinformation society: What can information literacy do about it? Investigación Bibliotecológica: archivonomía, bibliotecología e información, 35(87), 33–55. https://doi.org/10.22201/iibi.24488321xe.2021.87.58310
Santos, L. D., Martins, I., & Brito, P. (2007). Measuring subjective quality of life: A survey to Porto’s residents. Applied Research in Quality of Life, 2, 51–64. https://doi.org/10.1007/s11482-007-9029-z
Stamps, D. (2021). Media literacy as liberator: Black audiences’ adoption of media literacy, news media consumption, and perceptions of self and group members. Journal of International and Intercultural Communication, 14(3), 240–257. https://doi.org/10.1080/17513057.2020.1789692
Shu, K., Bhattacharjee, A., Alatawi, F., Nazer, T. H., Ding, K., Karami, M., & Liu, H. (2020). Combating disinformation in a social media age. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(6), Article e1385. https://doi.org/10.1002/widm.1385
Skevington, S. M., & Böhnke, J. R. (2018). How is subjective well-being related to quality of life? Do we need two concepts and both measures?. Social Science & Medicine, 206, 22–30. https://doi.org/10.1016/j.socscimed.2018.04.005
Sprangers, M. A., & Aaronson, N. K. (1992). The role of health care providers and significant others in evaluating the quality of life of patients with chronic disease: A review. Journal of Clinical Epidemiology, 45(7), 743–760. https://doi.org/10.1016/0895-4356(92)90052-o
Swire-Thompson, B., & Lazer, D. (2020). Public health and online misinformation: Challenges and recommendations. Annual Review of Public Health, 41(1), 433–451. https://doi.org/10.1146/annurev-publhealth-040119-094127
Treurniet, H. F., Essink-Bot, M. L., Mackenbach, J. P., & van der Maas, P. J. (1997). Health-related quality of life: An indicator of quality of care? Quality of Life Research, 6, 363–369. https://doi.org/10.1023/A:1018435427116
Uscinski, J. E. (2018). Conspiracy theories and the people who believe them. Oxford University Press. https://doi.org/10.1093/oso/9780190844073.001.0001
Vahedi, Z., & Zannella, L. (2021). The association between self-reported depressive symptoms and the use of social networking sites (SNS): A meta-analysis. Current Psychology, 40, 2174–2189. https://doi.org/10.1007/s12144-019-0150-6
Veenhoven, R. (2015). Social conditions for human happiness: A review of research. International Journal of Psychology, 50(5), 379–391. https://doi.org/10.1002/ijop.12161
Wang, H., Zou, X., Lai, K., Luo, W., & He, L. (2021). Does quality of life act as a protective factor against believing health rumors? Evidence from a national cross-sectional survey in China. International Journal of Environmental Research and Public Health, 18(9), Article 4669. https://doi.org/10.3390/ijerph18094669
Wathen, C. N., & Burkell, J. (2002). Believe it or not: Factors influencing credibility on the Web. Journal of the American Society for Information Science and Technology, 53(2), 134–144. https://doi.org/10.1002/asi.10016
Weikmann, T., & Lecheler, S. (2023). Visual disinformation in a digital age: A literature synthesis and research agenda. New Media & Society, 25(12), 3696–3713. https://doi.org/10.1177/14614448221141648
Weinstein, E. (2018). The social media see-saw: Positive and negative influences on adolescents’ affective well-being. New Media & Society, 20(10), 3597–3623. https://doi.org/10.1177/1461444818755634
Wolfers, L. N., & Utz, S. (2022). Social media use, stress, and coping. Current Opinion in Psychology, 45, Article 101305. https://doi.org/10.1016/j.copsyc.2022.101305
von Wirth, T., Grêt-Regamey, A., & Stauffacher, M. (2015). Mediating effects between objective and subjective indicators of urban quality of life: testing specific models for safety and access. Social Indicators Research, 122, 189–210. https://doi.org/10.1007/s11205-014-0682-y
Yang, C. C. (2016). Instagram use, loneliness, and social comparison orientation: Interact and browse on social media, but don’t compare. Cyberpsychology, Behavior, and Social Networking, 19(12), 703–708. https://doi.org/10.1089/cyber.2016.020
Ahmad, T., Aliaga Lazarte, E. A., & Mirjalili, S. (2022). A systematic literature review on fake news in the COVID-19 pandemic: Can AI propose a solution? Applied Sciences, 12(24), Article 12727. https://doi.org/10.3390/app122412727
Albrecht, G. L., & Devlieger, P. J. (1999). The disability paradox: High quality of life against all odds. Social Science & Medicine, 48(8), 977–988. https://doi.org/10.1016/S0277-9536(98)00411-0
Anguzu, R., Nagavally, S., Dawson, A. Z., Walker, R. J., & Egede, L. E. (2021). Age and gender differences in trends and impact of depression on quality of life in the United States, 2008 to 2016. Women’s Health Issues, 31(4), 353–365. https://doi.org/10.1016/j.whi.2021.02.005
Barros da Silva Lima, A. F., Fleck, M., Pechansky, F., de Boni, R., & Sukop, P. (2005). Psychometric properties of the World Health Organization Quality of Life Instrument (WHOQoL-BREF) in alcoholic males: A pilot study. Quality of Life Research, 14, 473–478. https://doi.org/10.1007/s11136-004-5327-1
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
Borgström, Å., Daneback, K., & Molin, M. (2019). Young people with intellectual disabilities and social media: A literature review and thematic analysis. Scandinavian Journal of Disability Research, 21(1), 129–140. https://doi.org/10.16993/sjdr.549
Bramston, P., Chipuer, H., & Pretty, G. (2005). Conceptual principles of quality of life: An empirical exploration. Journal of Intellectual Disability Research, 49(10), 728–733. https://doi.org/10.1111/j.1365-2788.2005.00741.x
Campisi, J., Folan, D., Diehl, G., Kable, T., & Rademeyer, C. (2015). Social media users have different experiences, motivations, and quality of life. Psychiatry Research, 228(3), 774–780. https://doi.org/10.1016/j.psychres.2015.04.042
Caton, S., & Chapman, M. (2016). The use of social media and people with intellectual disability: A systematic review and thematic analysis. Journal of Intellectual and Developmental Disability, 41(2), 125–139. https://doi.org/10.3109/13668250.2016.1153052
Costanza, R., Fisher, B., Ali, S., Beer, C., Bond, L., Boumans, R., Danigelis, N. L., Dickinson, J., Elliott, C., Farley, J., Elliott Gayer, D., MacDonald Glenn, L., Hudspeth, T. R., Mahoney, D. F., McCahill, L., McIntosh, B., Reed, B., Abu Turab Rizvi, S., Rizzo, D. M., Simpatico, T., & Snapp, R. (2008). An integrative approach to quality of life measurement, research, and policy. Surveys and Perspectives Integrating Environment & Society, 1, 11–15. https://doi.org/10.5194/sapiens-1-11-2008
Dabbous, A., Aoun Barakat, K., & de Quero Navarro, B. (2022). Fake news detection and social media trust: A cross-cultural perspective. Behaviour & Information Technology, 41(14), 2953–2972. https://doi.org/10.1080/0144929x.2021.1963475
Data from 3,036 citizens to assess the level of disinformation spread on digital platforms [data set]. (2024). Retrieved January 11, 2024, from https://docs.google.com/spreadsheets/d/1q09l_ihruCcoWD6Of0nTroie1wBpMmnp/edit?usp=sharing&ouid=111497346858387909549&rtpof=true&sd=true
de Cock Buning, M. (2018). A multi-dimensional approach to disinformation: report of the independent High level Group on fake news and online disinformation. Publications Office of the European Union. https://hdl.handle.net/1814/70297
Dehghani, F., & Zareei Mahmoodabadi, H. (2018). The effect of using virtual social networks on depression, anxiety, and stress among young adults. Journal of Social Behavior and Community Health, 2(1), 174–180.
Edgerton, J. D., Roberts, L. W., & von Below, S. (2011). Education and quality of life. In Handbook of social indicators and quality of life research (pp. 265–296). https://doi.org/10.1007/978-94-007-2421-1_12
Eslami, S., Khalifah, Z., Mardani, A., Streimikiene, D., & Han, H. (2019). Community attachment, tourism impacts, quality of life and residents’ support for sustainable tourism development. Journal of Travel & Tourism Marketing, 36(9), 1061–1079. https://doi.org/10.1080/10548408.2019.1689224
Figl, K., Kießling, S., Rank, Ch., & Vakulenko, S. (2019). Fake news flags, cognitive dissonance, and the believability of social media posts. In ICIS 2019 Proceedings. 27. https://aisel.aisnet.org/icis2019/cyber_security_privacy_ethics_IS/cyber_security_privacy/27
Fischer, J. M., & Amekudzi, A. (2011). Quality of life, sustainable civil infrastructure, and sustainable development: Strategically expanding choice. Journal of Urban Planning and Development, 137(1), 39–48. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000039
Fitzpatrick, R., Fletcher, A., Gore, S., Jones, D., Spiegelhalter, D., & Cox, D. (1992). Quality of life measures in health care. I: Applications and issues in assessment. BMJ: British Medical Journal, 305(6861), Article 1074. https://doi.org/10.1136/bmj.305.6861.1074
Frost, R. L., & Rickwood, D. J. (2017). A systematic review of the mental health outcomes associated with Facebook use. Computers in Human Behavior, 76, 576–600. https://doi.org/10.1016/j.chb.2017.08.001
Grasso, M., & Canova, L. (2008). An assessment of the quality of life in the European Union based on the social indicators approach. Social Indicators Research, 87, 1–25. https://doi.org/10.1007/s11205-007-9158-7
Guntuku, S. C., Yaden, D. B., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2017). Detecting depression and mental illness on social media: an integrative review. Current Opinion in Behavioral Sciences, 18, 43–49. https://doi.org/10.1016/j.cobeha.2017.07.005
Haux, P., & Lund, E. (2018). The social media paradox. https://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8945952&fileOId=8945957
Humprecht, E., Esser, F., & Van Aelst, P. (2020). Resilience to online disinformation: A framework for cross-national comparative research. The International Journal of Press/Politics, 25(3), 493–516. https://doi.org/10.1177/1940161219900126
Chaaban, J., Irani, A., & Khoury, A. (2016). The composite global well-being index (CGWBI): A new multi-dimensional measure of human development. Social Indicators Research, 129, 465–487. https://doi.org/10.1007/s11205-015-1112-5
Cho, H., Cannon, J., Lopez, R., & Li, W. (2022a). Social media literacy: A conceptual framework. New Media & Society, 26(2), Article 14614448211068530. https://doi.org/10.1177/14614448211068530
Cho, K., Jung, K., Lee, M., Lee, Y., Park, J., & Dreamson, N. (2022b). Qualitative approaches to evaluating social media influencers: A case-based literature review. International Journal of Electronic Commerce Studies, 13(2), 119–136. https://doi.org/10.7903/ijecs.2025
Jeng, S. P., & Lo, M. F. (2019). Lowest price guarantees on airline websites: Perceived believability, perceived value, and purchase intentions. Journal of Air Transport Management, 75, 85–91. https://doi.org/10.1016/j.jairtraman.2018.12.002
Katsirea, I. (2018). “Fake news”: Reconsidering the value of untruthful expression in the face of regulatory uncertainty. Journal of Media Law, 10(2), 159–188. https://doi.org/10.1080/17577632.2019.1573569
Khan, M. L., & Idris, I. K. (2019). Recognise misinformation and verify before sharing: A reasoned action and information literacy perspective. Behaviour & Information Technology, 38(12), 1194–1212. https://doi.org/10.1080/0144929x.2019.1578828
Kellner, D. (2021). Globalization, technopolitics and revolution. In Technology and Democracy: Toward A Critical Theory of Digital Technologies, Technopolitics, and Technocapitalism. Medienkulturen im digitalen Zeitalter. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-31790-4_6
Kim, S., & Kim, D. (2012). Does government make people happy?: Exploring new research directions for government’s roles in happiness. Journal of Happiness Studies, 13, 875–899. https://doi.org/10.1007/s10902-011-9296-0
Kumar, A., Shankar, A., Behl, A., Arya, V., & Gupta, N. (2023). Should I share it? Factors influencing fake news-sharing behaviour: A behavioural reasoning theory perspective. Technological Forecasting and Social Change, 193, Article 122647. https://doi.org/10.1016/j.techfore.2023.122647
Leimgruber, W. (2020). Civil society vs. globalization and marginalization: Polarized vs. organic thinking. In B. Fuerst-Bjeliš & W. Leimgruber (Eds.), Globalization, marginalization and conflict: Political, economic and social processes (pp. 15–29). Springer. https://doi.org/10.1007/978-3-030-53218-5_2
Lim, M. S., & Choi, S. B. (2017). Stress caused by social media network applications and user responses. Multimedia Tools and Applications, 76, 17685–17698. https://doi.org/10.1007/s11042-015-2891-z
Lohani, A. (2021). Countering disinformation and hate speech online: Regulation and user behavioural change. Observer Research Foundation Occasional Paper. https://www.orfonline.org/research/countering-disinformation-and-hate-speech-online
Lotfi, S., & Koohsari, M. J. (2009). Analyzing accessibility dimension of urban quality of life: Where urban designers face duality between subjective and objective reading of place. Social Indicators Research, 94, 417–435. https://doi.org/10.1007/s11205-009-9438-5
Machimbarrena, J., González-Cabrera, J., Ortega-Barón, J., Beranuy-Fargues, M., Álvarez-Bardón, A., & Tejero, B. (2019). Profiles of problematic internet use and its impact on adolescents’ health-related quality of life. International Journal of Environmental Research and Public Health, 16, Article 3877. https://doi.org/10.3390/ijerph16203877
Martel, J. P., & Dupuis, G. (2006). Quality of work life: Theoretical and methodological problems, and presentation of a new model and measuring instrument. Social Indicators Research, 77, 333–368. https://doi.org/10.1007/s11205-004-5368-4
Martínez-Costa, M. P., López-Pan, F., Buslón, N., & Salaverría, R. (2023). Nobody-fools-me perception: Influence of age and education on overconfidence about spotting disinformation. Journalism Practice, 17(10), 2084–2102. https://doi.org/10.1080/17512786.2022.2135128
Mayo, R. (2023). Trust or distrust? Neither! The right mindset for confronting disinformation. Current Opinion in Psychology, 56, 101779. https://doi.org/10.1016/j.copsyc.2023.101779
McCloskey, W., Iwanicki, S., Lauterbach, D., Giammittorio, D. M., & Maxwell, K. (2015). Are Facebook “friends” helpful? Development of a Facebook-based measure of social support and examination of relationships among depression, quality of life, and social support. Cyberpsychology, Behavior, and Social Networking, 18(9), 499–505. https://doi.org/10.1089/cyber.2014.0538
Mikal, M. A., Ramezan, E. P., Amar, T., & Bigdeli, A. (2016). spatial analysis of quality of life in economic dimension of villages of Lahijan Town. Journal of Social Sciences and Humanities Research, 4(4), 13–20.
Mirella, R., Warner, R., Giulia, B., & Laura, F. (2001). Subjective and objective dimensions of quality of life in psychiatric patients: A factor analytical approach. The British Journal of Psychiatry, 178(3), 268–275. https://doi.org/10.1192/bjp.178.3.268
Mittal, S., Chadchan, J., & Mishra, S. K. (2020). Review of concepts, tools and indices for the assessment of urban quality of life. Social Indicators Research, 149, 187–214. https://doi.org/10.1007/s11205-019-02232-7
Moons, P., Budts, W., & De Geest, S. (2006). Critique on the conceptualisation of quality of life: a review and evaluation of different conceptual approaches. International Journal of Nursing Studies, 43(7), 891–901. https://doi.org/10.1016/j.ijnurstu.2006.03.015
Nguyen, M. H., Pham, T. T. M., Nguyen, K. T., Nguyen, Y. H., Tran, T. V., Do, B. N., Dao, H. K., Nguyen, H. C., Do, N. T., Ha, T. H., Phan, D. T., Pham, K. M., Pham, L. V., Nguyen, P. B., Nguyen, H. T. T., Do, T. V., Ha, D. T., Nguyen, H. T., Ngo, H. T. M., … Van Duong, T. (2021). Negative impact of fear of COVID-19 on health-related quality of life was modified by health literacy, ehealth literacy, and digital healthy diet literacy: A multi-hospital survey. International Journal of Environmental Research and Public Health, 18(9), Article 4929. https://doi.org/10.3390/ijerph18094929
Noguti, V., Singh, S., & Waller, D. S. (2019). Gender differences in motivations to use social networking sites. In Gender economics: Breakthroughs in research and practice (pp. 676-691). IGI Global. https://doi.org/10.4018/978-1-5225-6912-1.ch081
Nyhan, B., & Reifler, J. (2010). When corrections fail: The persistence of political misperceptions. Political Behavior, 32, 303–330. https://doi.org/10.1007/s11109-010-9112-2
Oh, S., & Syn, S. Y. (2015). Motivations for sharing information and social support in social media: A comparative analysis of Facebook, Twitter, Delicious, You Tube, and Flickr. Journal of the Association for Information Science and Technology, 66(10), 2045–2060. https://doi.org/10.1002/asi.23320
Oleś, M. (2016). Dimensions of identity and subjective quality of life in adolescents. Social Indicators Research, 126, 1401–1419. https://doi.org/10.1007/s11205-015-0942-5
Petratos, P. N. (2021). Misinformation, disinformation, and fake news: Cyber risks to business. Business Horizons, 64(6), 763–774. https://doi.org/10.1016/j.bushor.2021.07.012
Phillips, D. (2006). Quality of Life: Concept, policy and practice. Routledge. https://doi.org/10.4324/9780203356630
Prado-Lorenzo, J. M., García-Sánchez, I. M., & Cuadrado-Ballesteros, B. (2012). Sustainable cities: Do political factors determine the quality of life? Journal of Cleaner Production, 21(1), 34–44. https://doi.org/10.1016/j.jclepro.2011.08.021
Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among US young adults. Computers in Human Behavior, 69, 1–9. https://doi.org/10.1016/j.chb.2016.11.013
Radovic, A., Gmelin, T., Stein, B. D., & Miller, E. (2017). Depressed adolescents’ positive and negative use of social media. Journal of Adolescence, 55, 5–15. https://doi.org/10.1016/j.adolescence.2016.12.002
Righetto, G. G., Muriel-Torrado, E., & Vitorino, E. V. (2021). “Imbecilization” in the disinformation society: What can information literacy do about it? Investigación Bibliotecológica: archivonomía, bibliotecología e información, 35(87), 33–55. https://doi.org/10.22201/iibi.24488321xe.2021.87.58310
Santos, L. D., Martins, I., & Brito, P. (2007). Measuring subjective quality of life: A survey to Porto’s residents. Applied Research in Quality of Life, 2, 51–64. https://doi.org/10.1007/s11482-007-9029-z
Stamps, D. (2021). Media literacy as liberator: Black audiences’ adoption of media literacy, news media consumption, and perceptions of self and group members. Journal of International and Intercultural Communication, 14(3), 240–257. https://doi.org/10.1080/17513057.2020.1789692
Shu, K., Bhattacharjee, A., Alatawi, F., Nazer, T. H., Ding, K., Karami, M., & Liu, H. (2020). Combating disinformation in a social media age. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(6), Article e1385. https://doi.org/10.1002/widm.1385
Skevington, S. M., & Böhnke, J. R. (2018). How is subjective well-being related to quality of life? Do we need two concepts and both measures?. Social Science & Medicine, 206, 22–30. https://doi.org/10.1016/j.socscimed.2018.04.005
Sprangers, M. A., & Aaronson, N. K. (1992). The role of health care providers and significant others in evaluating the quality of life of patients with chronic disease: A review. Journal of Clinical Epidemiology, 45(7), 743–760. https://doi.org/10.1016/0895-4356(92)90052-o
Swire-Thompson, B., & Lazer, D. (2020). Public health and online misinformation: Challenges and recommendations. Annual Review of Public Health, 41(1), 433–451. https://doi.org/10.1146/annurev-publhealth-040119-094127
Treurniet, H. F., Essink-Bot, M. L., Mackenbach, J. P., & van der Maas, P. J. (1997). Health-related quality of life: An indicator of quality of care? Quality of Life Research, 6, 363–369. https://doi.org/10.1023/A:1018435427116
Uscinski, J. E. (2018). Conspiracy theories and the people who believe them. Oxford University Press. https://doi.org/10.1093/oso/9780190844073.001.0001
Vahedi, Z., & Zannella, L. (2021). The association between self-reported depressive symptoms and the use of social networking sites (SNS): A meta-analysis. Current Psychology, 40, 2174–2189. https://doi.org/10.1007/s12144-019-0150-6
Veenhoven, R. (2015). Social conditions for human happiness: A review of research. International Journal of Psychology, 50(5), 379–391. https://doi.org/10.1002/ijop.12161
Wang, H., Zou, X., Lai, K., Luo, W., & He, L. (2021). Does quality of life act as a protective factor against believing health rumors? Evidence from a national cross-sectional survey in China. International Journal of Environmental Research and Public Health, 18(9), Article 4669. https://doi.org/10.3390/ijerph18094669
Wathen, C. N., & Burkell, J. (2002). Believe it or not: Factors influencing credibility on the Web. Journal of the American Society for Information Science and Technology, 53(2), 134–144. https://doi.org/10.1002/asi.10016
Weikmann, T., & Lecheler, S. (2023). Visual disinformation in a digital age: A literature synthesis and research agenda. New Media & Society, 25(12), 3696–3713. https://doi.org/10.1177/14614448221141648
Weinstein, E. (2018). The social media see-saw: Positive and negative influences on adolescents’ affective well-being. New Media & Society, 20(10), 3597–3623. https://doi.org/10.1177/1461444818755634
Wolfers, L. N., & Utz, S. (2022). Social media use, stress, and coping. Current Opinion in Psychology, 45, Article 101305. https://doi.org/10.1016/j.copsyc.2022.101305
von Wirth, T., Grêt-Regamey, A., & Stauffacher, M. (2015). Mediating effects between objective and subjective indicators of urban quality of life: testing specific models for safety and access. Social Indicators Research, 122, 189–210. https://doi.org/10.1007/s11205-014-0682-y
Yang, C. C. (2016). Instagram use, loneliness, and social comparison orientation: Interact and browse on social media, but don’t compare. Cyberpsychology, Behavior, and Social Networking, 19(12), 703–708. https://doi.org/10.1089/cyber.2016.020