Encountering misinformation online: antecedents of trust and distrust and their impact on the intensity of Facebook use
Abstract
Purpose: This study focused on the impact of misinformation on social networking sites. Through theorizing and integrating literature from interdisciplinary fields such as information behavior, communication and relationship management, this study explored how misinformation on Facebook influences users' trust, distrust and intensity of Facebook use. Design/methodology/approach: This study employed quantitative survey research and collected panel data via an online professional survey platform. A total of 661 participants in the USA completed this study, and structural equation modeling (SEM) was used to test the theoretical model using Amos 20. Findings: Based on data from an online questionnaire ( N = 661) in the USA, results showed that information trustworthiness and elaboration, users' self-efficacy of detecting misinformation and prescriptive expectancy of the social media platform significantly predicted both trust and distrust toward Facebook, which in turn jointly influenced users' intensity of using this information system. Originality/value: This study contributes to the growing body of literature on information and relationship management and digital communication from several important aspects. First, this study disclosed the underlying cognitive psychological and social processing of online misinformation and addressed the strategies for future system design and behavioral intervention of misinformation. Second, this study systematically examined both trust and distrust as cognitive and affective dimensions of the human mindsets, encompassed the different components of the online information behavior and enriched one’s understanding of how misinformation affected publics' perceptions of the information system where it appeared. Last but not least, this study advanced the relationship management literature and demonstrated that a trustful attitude exerted a stronger influence on the intensity of Facebook use than distrust did. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0130
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
There is a lack of consensus on the meaning of 'trust' in the context of social media.
“we lack basic agreement as to what trust means in the context of social media.”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [16]
Trust in social media has diverse impacts on people's behaviors and attitudes.
“the diverse impacts of trust on people's behaviors and attitudes [16,39,118].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [16]
Prior research has produced conflicting results regarding who and what strengthens trust in social media.
“the conficting results from prior research regarding who and what strengthens trust in social media”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [16]
In Cheng et al. [16], trust had a stronger impact on Facebook use intensity than distrust.
“Furthermore, trust had a stronger impact on use intensity of Facebook than distrust.”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [16]
Cheng et al. [16] found that trust and distrust in Facebook concurrently and distinctly influenced users' intensity of use.
“Their study [16] shows that trust and distrust in Facebook concurrently and distinctly infuenced users' intensity of use.”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [16]
Many trust scholars outside HCI have advocated that trust and distrust should be treated as two distinct concepts, rather than opposites.
“Yet, outside of the feld of HCI, many trust scholars have advocated for the notion that trust and distrust should be treated as two distinct concepts, rather than opposites [16,38,63,102].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [16]
Cheng et al. [16] assessed trust in Facebook by measuring integrity and competence, and assessed distrust in Facebook by measuring skepticism and vulnerability.
“Cheng et al. [16] assessed trust in Facebook by measuring integrity and competence, while also assessing distrust in Facebook by measuring skepticism and vulnerability.”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [16]
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
Toward a consensual structure of mood.
Watson, D., & Tellegen, A. (1985) · Psychological bulletin · doi:10.1037/0033-2909.98.2.219 · Cited by 5,362 · see citing works
Self-efficacy and work-related performance: A meta-analysis.
Stajković, A. D., & Luthans, F. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.124.2.240 · Cited by 3,850 · see citing works
Trust And Distrust: New Relationships and Realities
Lewicki, R. J., McAllister, D. J., & Bies, R. J. (1998) · The Academy of Management Review · doi:10.5465/amr.1998.926620 · Cited by 3,091 · see citing works
Misinformation and Its Correction: Continued Influence and Successful Debiasing
Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012) · Psychological Science in the Public Interest · doi:10.1177/1529100612451018 · Cited by 2,920 · see citing works
An integrative model of organizational trust: past, present, and future
Schoorman, F. D., Mayer, R. C., & Davis, J. H. (2007) · Academy of Management Review · doi:10.5465/amr.2007.24348410 · Cited by 2,794 · see citing works
Explaining the Limited Effectiveness of Legalistic ‘Remedies’ for Trust/Distrust
Sitkin, S. B., & Roth, N. L. (1993) · Organization Science · doi:10.1287/orsc.4.3.367 · Cited by 1,545 · see citing works
Cognitive and affective trust in service relationships
Johnson, D. S., & Grayson, K. A. (2003) · Journal of Business Research · doi:10.1016/s0148-2963(03)00140-1 · Cited by 1,493 · see citing works
Advances in Social Media Research: Past, Present and Future
Kapoor, K., Tamilmani, K., Rana, N. P., Patil, P. P., Dwivedi, Y. K., & Nerur, S. P. (2017) · Information Systems Frontiers · doi:10.1007/s10796-017-9810-y · Cited by 1,211 · see citing works
Internet Self-Efficacy and the Psychology of the Digital Divide
Eastin, M. S., & LaRose, R. (2006) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2000.tb00110.x · Cited by 1,168 · see citing works
Interpersonal Expectations, Expectancy Violations, and Emotional Communication
Burgoon, J. K. (1993) · Journal of Language and Social Psychology · doi:10.1177/0261927x93121003 · Cited by 1,097 · see citing works
Believe it or not: Factors influencing credibility on the Web
Wathen, C. N., & Burkell, J. (2001) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.10016 · Cited by 1,093 · see citing works
An overview of online trust: Concepts, elements, and implications
Wang, Y. D., & Emurian, H. H. (2004) · Computers in Human Behavior · doi:10.1016/j.chb.2003.11.008 · Cited by 998 · see citing works
Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.2.133 · Cited by 947 · see citing works
Information Systems Success: The Quest for the Independent Variables
Petter, S., DeLone, W. H., & McLean, E. R. (2013) · Journal of Management Information Systems · doi:10.2753/mis0742-1222290401 · Cited by 933 · see citing works
Initial trust and online buyer behaviour
Chen, Y.-H., & Barnes, S. J. (2007) · Industrial Management & Data Systems · doi:10.1108/02635570710719034 · Cited by 876 · 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
Disinformation as Political Communication
Freelon, D., & Wells, C. (2020) · Political Communication · doi:10.1080/10584609.2020.1723755 · Cited by 624 · see citing works
Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture
Vance, A., Elie-Dit-Cosaque, C., & Straub, D. W. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240403 · Cited by 599 · see citing works
Agag, G., & El-Masry, A. A. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.02.038 · Cited by 574 · see citing works
Linking dimensions of social media use to job performance: The role of social capital
Ali‐Hassan, H., Nevo, D., & Wade, M. R. (2015) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2015.03.001 · Cited by 537 · see citing works
Kang, J., & Hustvedt, G. (2013) · Journal of Business Ethics · doi:10.1007/s10551-013-1916-7 · Cited by 491 · see citing works
The mechanism of trust and distrust formation and their relational outcomes
Cho, E. (2006) · Journal of Retailing · doi:10.1016/j.jretai.2005.11.002 · Cited by 425 · see citing works
The diffusion of misinformation on social media: Temporal pattern, message, and source
Shin, J., Jian, L., Driscoll, K., & Bar, F. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.02.008 · Cited by 402 · see citing works
Çelik, V., & Yeşilyurt, E. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.06.008 · Cited by 356 · see citing works
Buning, M. (2018) · Cadmus - EUI Research Repository (European University Institute) · doi:10.2759/739290 · Cited by 303 · see citing works
Perceived risk and risk-reduction strategies in Internet shopping
Cases, A.-S. (2002) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593960210151162 · Cited by 260 · see citing works
Trust and distrust on the web: User experiences and website characteristics
Seckler, M., Heinz, S., Forde, S., Tuch, A. N., & Opwis, K. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.064 · Cited by 223 · see citing works
Chen, Z. F., & Cheng, Y. (2019) · Journal of Product & Brand Management · doi:10.1108/jpbm-12-2018-2145 · Cited by 207 · see citing works
Self-citationConsumer trust and distrust: An issue of website design
Ou, C., & Sia, C. (2010) · Int. J. Hum. Comput. Stud. · doi:10.1016/j.ijhcs.2010.08.003 · Cited by 196 · see citing works
Warner‐Søderholm, G., Bertsch, A., Sawe, E., Lee, D. R., Wolfe, T., Meyer, J., Engel, J., & Fatilua, U. N. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.12.026 · Cited by 175 · see citing works
Wu, G., Hu, X., & Wu, Y. (2010) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2010.01528.x · Cited by 174 · see citing works
How and why Organisations Use Social Media: Five Use Types and their Relation to Absorptive Capacity
Schlagwein, D., & Hu, M. (2016) · Journal of Information Technology · doi:10.1057/jit.2016.7 · Cited by 173 · see citing works
The impact of violations on uncertainty and the consequences for attractiveness
Afifi, W. A., & Burgoon, J. K. (2000) · Human Communication Research · doi:10.1111/j.1468-2958.2000.tb00756.x · Cited by 169 · see citing works
Cheng, Y. (2017) · Public Relations Review · doi:10.1016/j.pubrev.2017.10.003 · Cited by 132 · see citing works
Self-citationCheng, Y., Liang, J., & Leung, L. (2015) · New Media & Society · doi:10.1177/1461444814521362 · Cited by 129 · see citing works
Self-citationChang, S., & Fang, S.-R. (2013) · Tamkang University Institutional Repository (TKUIR) · Cited by 109 · see citing works
Kaufhold, M., Bayer, M., & Reuter, C. (2019) · Information Processing & Management · doi:10.1016/j.ipm.2019.102132 · Cited by 105 · see citing works
Lee, J., Lee, J.-N., & Tan, B. C. Y. (2012) · Information Systems Frontiers · doi:10.1007/s10796-012-9392-7 · Cited by 95 · see citing works
Research Note —Online Users' Switching Costs: Their Nature and Formation
Ray, S., Kim, S. S., & Morris, J. G. (2011) · Information Systems Research · doi:10.1287/isre.1100.0340 · Cited by 95 · see citing works
Kim, Y. H., & Kim, D. (2005) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2005.52 · Cited by 92 · see citing works
Guggenheim, L., Kwak, N., & Campbell, S. W. (2011) · International Journal of Public Opinion Research · doi:10.1093/ijpor/edr015 · Cited by 91 · see citing works
Trust and distrust in information systems at the workplace
Thielsch, M. T., Meeßen, S. M., & Hertel, G. (2018) · PeerJ · doi:10.7717/peerj.5483 · Cited by 91 · see citing works
ter Huurne, E. F. J., & Gutteling, J. M. (2009) · Journal of Risk Research · doi:10.1080/13669870902726091 · Cited by 90 · see citing works
Reconsidering the Relationship Between the Third-Person Perception and Optimistic Bias
Wei, R., Lo, V., & Lu, H. (2007) · Communication Research · doi:10.1177/0093650207307903 · Cited by 86 · see citing works
Cheng, Y., & Chen, Z. F. (2020) · Mass Communication & Society · doi:10.1080/15205436.2020.1750656 · Cited by 84 · see citing works
Self-citationKang, M., & Park, Y. E. (2017) · Journal of Public Relations Research · doi:10.1080/1062726x.2017.1337579 · Cited by 77 · see citing works
Tewksbury, D. H., Hals, M. L., & Bibart, A. (2008) · Journalism & Mass Communication Quarterly · doi:10.1177/107769900808500203 · Cited by 69 · see citing works
Trust is heritable, whereas distrust is not
Reimann, M., Schilke, O. S., & Cook, K. S. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617132114 · Cited by 68 · see citing works
Self-efficacy, trust, and perceived benefits in the co-creation of value by consumers
Alves, H., & Mainardes, E. W. (2017) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-05-2016-0071 · Cited by 67 · see citing works
The Role of Prior Expectancies and Relational Satisfaction in Crisis
Kim, S. (2014) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699013514413 · Cited by 62 · see citing works
Wei, R., Lo, V., & Lu, H. (2010) · Journalism & Mass Communication Quarterly · doi:10.1177/107769901008700310 · Cited by 58 · see citing works
Cheng, Y., Jin, Y., Hung‐Baesecke, C. F., & Chen, Y.-R. R. (2018) · International Journal of Strategic Communication · doi:10.1080/1553118x.2018.1524382 · Cited by 50 · see citing works
Self-citationCheng, Y., & Shen, H. (2020) · Public Relations Review · doi:10.1016/j.pubrev.2020.101908 · Cited by 46 · see citing works
Self-citationTrust and Distrust Constructing Unity and Fragmentation of Organisational Culture
Kujala, J., Lehtimäki, H. P., & Pučėtaitė, R. (2015) · Journal of Business Ethics · doi:10.1007/s10551-015-2915-7 · Cited by 40 · see citing works
Lundmark, L., Oh, C., & Verhaal, J. C. (2016) · Information Systems Frontiers · doi:10.1007/s10796-016-9654-x · Cited by 25 · see citing works
Pee, L. G., & Lee, J. (2016) · Gyeong'yeong jeongbohag yeon'gu/Gyeong-yeong jeongbohak yeon-gu · doi:10.14329/apjis.2016.26.1.1 · Cited by 20 · see citing works
Personality traits as predictors of Facebook use
John, R. B. A., & Lucila, O. B. (2016) · International Journal of Psychology and Counselling · doi:10.5897/ijpc2015.0311 · Cited by 16 · see citing works
Quantifying the impact on distrust of e-commerce trust factors: A non-parametric study
Andrade, A. A., Lopes, V. V., & Novais, A. Q. (2012) · International Conference for Internet Technology and Secured Transactions · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Kim, J. H., Kim, J., Park, J., Kim, C., Jhang, J., & King, B. (2025) · Journal of Travel Research · doi:10.1177/00472875231212996 · Cited by 202 · see citing works
Kim, S. S. Y., Liao, Q. V., Vorvoreanu, M., Ballard, S., & Vaughan, J. W. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency · doi:10.1145/3630106.3658941 · Cited by 147 · see citing works
“We note that there are many definitions, measures, and factors of reliance and trust [27, 46, 90, 93, 107].”
BackgroundRETRACTED: Debiasing misinformation: how do people diagnose health recommendations from AI?
Shin, D., Jitkajornwanich, K., Lim, J. S., & Spyridou, A. (2024) · Online Information Review · doi:10.1108/oir-04-2023-0167 · Cited by 32 · see citing works
RetractedWhat Do We Mean When We Talk about Trust in Social Media? A Systematic Review
Zhang, Y., Gaggiano, J. D., Yongsatianchot, N., Suhaimi, N. M., Kim, M., Sun, Y., Griffin, J., & Parker, A. G. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581019 · Cited by 29 · see citing works
- Authors
- Cheng, Y., & Chen, Z. F.
- Affiliations
- North Carolina State University (US)
- University of San Francisco (US)
- Venue
- Online Information Review
- Publisher
- Emerald
- Published
- 2020-12-04
- Volume
- 45
- Issue
- 2
- Pages
- 372-388
- ISSN
- 1468-4527 (ISSN-L)
- OpenAlex
- W3108812612
- Cited by
- 45
- References
- 59
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 11 · 2023: 9 · 2022: 8 · 2021: 3
- FWCI
- 6.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Online Information Review (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Keywords
- online misinformation, Facebook, trust in social media, distrust, usage intensity, information trustworthiness, elaboration, self-efficacy, relationship management, information behavior, social networking sites
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