Scottish citizens’ perceptions of the credibility of online political “facts” in the “fake news” era: An exploratory study
Open accessAbstract
Purpose: The purpose of this paper is to present the results of a study that explored public perceptions of the credibility of “facts and figures” contained within five social media posts produced by political parties in Scotland. Design/methodology/approach: The study consisted of an online survey conducted in Spring 2017 (n=538). Respondents were asked to gauge the reliability of “facts” contained within the posts, to provide reasons for their answers, and to indicate how they might go about confirming or debunking the figures. Findings: Less than half the sample believed the posts’ content would be reliable. Credibility perceptions were influenced by various factors, including: a lack of cited sources; concerns about bias or spin; a lack of detail, definitions or contextual information; personal political allegiance and trust; negative campaign techniques; personal experience of policy issues; and more intuitive judgements. Only small numbers admitted that they would not know how to find out more about the issues or would be disinclined to look further. The majority appeared confident in their own abilities to find further information, yet were vague in describing their search strategies. Originality/value: Relatively little empirical research has been conducted exploring the perceived credibility of political or government information online. It is believed that this is the first such study to have specifically investigated the Scottish political arena.
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Prior experiences with and attitudes towards the trustee are essential antecedents of trust in information found on social media.
“People's prior experiences with and attitudes towards the trustee infuence their perceptions of that trustee and have been shown to be essential antecedents of trust in information found on social media [5,31,32,40,122].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [5]
Presenting information alongside the URL of the original source significantly increases people's trust in that information.
“In a number of studies, transparency has involved presenting information alongside the URL of the original source, which signifcantly increased people's trust in that information [5,13,24,25,40,109].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [5]
Personal political ideology or political affiliation influences trust in information from social media.
“Results from two studies suggest that personal political ideology or political afliation infuences participants' trust in information from social media [5,53].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [5]
Cites
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
Beyond misinformation: Understanding and coping with the “post-truth” era.
Lewandowsky, S., Ecker, U. K. H., & Cook, J. (2017) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2017.07.008 · Cited by 1,985 · see citing works
Eysenbach, G., Powell, J., Kuss, O., & Sa, E.-R. (2002) · JAMA · doi:10.1001/jama.287.20.2691 · Cited by 1,871 · 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
Automatic deception detection: Methods for finding fake news
Conroy, N. K., Rubin, V. L., & Chen, Y. (2015) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.2015.145052010082 · Cited by 990 · see citing works
Metzger, M. J. (2007) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20672 · Cited by 871 · see citing works
Johnson, T. J., & Kaye, B. K. (2004) · Journalism & Mass Communication Quarterly · doi:10.1177/107769900408100310 · Cited by 719 · see citing works
Hilligoss, B., & Rieh, S. Y. (2008) · Information Processing & Management · doi:10.1016/j.ipm.2007.10.001 · Cited by 611 · see citing works
Credibility and computing technology
Tseng, S., & Fogg, B. J. (1999) · Communications of the ACM · doi:10.1145/301353.301402 · Cited by 591 · see citing works
Cruising is Believing?: Comparing Internet and Traditional Sources on Media Credibility Measures
Johnson, T. J., & Kaye, B. (1998) · Journalism & Mass Communication Quarterly · doi:10.1177/107769909807500208 · Cited by 578 · see citing works
The MAIN Model: A Heuristic Approach to Understanding Technology Effects on Credibility
Sundar, S. S. (2008) · Issue Lab (Candid) · Cited by 559 · see citing works
Rumors and Health Care Reform: Experiments in Political Misinformation
Berinsky, A. J. (2015) · British Journal of Political Science · doi:10.1017/s0007123415000186 · Cited by 511 · see citing works
Fallis, D. (2015) · Library Trends · doi:10.1353/lib.2015.0014 · Cited by 511 · see citing works
Credibility: A multidisciplinary framework
Rieh, S. Y., & Danielson, D. R. (2007) · Annual Review of Information Science and Technology · doi:10.1002/aris.2007.1440410114 · Cited by 336 · see citing works
Prominence-interpretation theory: explaining how people assess credibility online
Fogg, B. J. (2003) · CHI '03 extended abstracts on Human factors in computing systems - CHI '03 · doi:10.1145/765891.765951 · Cited by 335 · see citing works
Zhang, Y., Sun, Y., & Xie, B. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23311 · Cited by 292 · see citing works
Cultural Cognition and Public Policy
Kahan, D. M., & Braman, D. (2005) · bepress Legal Repository · Cited by 276 · see citing works
Graves, L. (2016) · Journalism Studies · doi:10.1080/1461670x.2016.1196602 · Cited by 245 · see citing works
Cooke, N. A. (2017) · The Library Quarterly · doi:10.1086/692298 · Cited by 236 · see citing works
Every Blog Has Its Day: Politically-interested Internet Users’ Perceptions of Blog Credibility
Johnson, T. J., Kaye, B. K., Bichard, S. L., & Wong, W. J. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00388.x · Cited by 229 · see citing works
Lau, R. R., & Rovner, I. B. (2009) · Annual Review of Political Science · doi:10.1146/annurev.polisci.10.071905.101448 · Cited by 221 · see citing works
A Web for all reasons: uses and gratifications of Internet components for political information
Kaye, B. K., & Johnson, T. J. (2003) · Telematics and Informatics · doi:10.1016/s0736-5853(03)00037-6 · Cited by 201 · see citing works
Chucking the Checklist: A Contextual Approach to Teaching Undergraduates Web-Site Evaluation
Meola, M. (2004) · portal Libraries and the Academy · doi:10.1353/pla.2004.0055 · Cited by 200 · see citing works
Webelievability: A Path Model Examining How Convenience and Reliance Predict Online Credibility
Johnson, T. J., & Kaye, B. K. (2002) · Journalism & Mass Communication Quarterly · doi:10.1177/107769900207900306 · Cited by 192 · see citing works
Evaluating Internet resources: Identity, affiliation, and cognitive authority in a networked world
Fritch, J. W., & Cromwell, R. L. (2001) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.1081 · Cited by 169 · see citing works
Web credibility assessment: Conceptualization, operationalization, variability, and models
Choi, W., & Stvilia, B. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23543 · Cited by 168 · see citing works
Johnson, T. J., & Kaye, B. K. (2014) · Journal of Computer-Mediated Communication · doi:10.1111/jcc4.12084 · Cited by 130 · see citing works
Reasons to believe: Influence of credibility on motivations for using social networks
Johnson, T. J., & Kaye, B. K. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.002 · Cited by 127 · see citing works
Walton, G., & Hepworth, M. E. (2011) · Journal of Documentation · doi:10.1108/00220411111124541 · Cited by 96 · see citing works
Kahan, D. M., Braman, D., Slovic, P., Gastil, J., & Cohen, G. L. (2007) · SSRN Electronic Journal · doi:10.2139/ssrn.1017189 · Cited by 91 · see citing works
Why librarians can’t fight fake news
Sullivan, M. C. (2018) · Journal of Librarianship and Information Science · doi:10.1177/0961000618764258 · Cited by 89 · see citing works
Housholder, E., & LaMarre, H. L. (2014) · Journal of Information Technology & Politics · doi:10.1080/19331681.2014.951753 · Cited by 78 · see citing works
Johnson, T., & Kaye, B. K. (2010) · Atlantic Journal of Communication · doi:10.1080/15456870903340431 · Cited by 76 · see citing works
Johnson, T. J., & Kaye, B. K. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.02.011 · Cited by 75 · see citing works
Grimmelikhuijsen, S. (2011) · Information Polity · doi:10.3233/ip-2011-0222 · Cited by 69 · see citing works
Health Information Seals of Approval: What do they Signify?
Burkell, J. (2004) · Information Communication & Society · doi:10.1080/1369118042000305610 · Cited by 56 · see citing works
Childcare and early years survey of parents 2009
Smith, R., Poole, E., Perry, J., Wollny, I., Reeves, A., Coshall, C., d’Souza, J., & Bryson, C. (2010) · Digital Education Resource Archive (University College London) · Cited by 55 · see citing works
On Verifying the Accuracy of Information: Philosophical Perspectives
Fallis, D. (2003) · UA Campus Repository (The University of Arizona) · Cited by 49 · see citing works
Andrews, L. (2006) · Journal of Public Affairs · doi:10.1002/pa.37 · Cited by 47 · see citing works
Beyond “cool”—analog models for reviewing digital resources
Rettig, J. (1996) · Online · Cited by 35 · see citing works
Pattie, C. J., Denver, D., Johns, R., & Mitchell, J. (2011) · Electoral Studies · doi:10.1016/j.electstud.2010.10.003 · Cited by 32 · see citing works
Independence of the Scottish Mind
Hassan, G. (2014) · Palgrave Macmillan UK eBooks · doi:10.1057/9781137414144 · Cited by 28 · see citing works
Evaluation of Networked Information Sources.
Stoker, D., & Cooke, A. (1994) · Essen Symposium · Cited by 24 · see citing works
Ault, M. K., Ness, A. M., Taylor, W. D., Johnson, G., Connelly, S., Jensen, M. L., & Dunbar, N. E. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.053 · Cited by 24 · see citing works
How content contributors assess and establish credibility on the web
Jean, B. S., Rieh, S. Y., Yang, J. Y., & Kim, Y. (2011) · Proceedings of the American Society for Information Science and Technology · doi:10.1002/meet.2011.14504801163 · Cited by 19 · see citing works
Baxter, G., & Marcella, R. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.05.013 · Cited by 14 · see citing works
Self-citationDifferent People Different Styles: Impact of Personality Style in Web Sites Credibility Judgement
Ahmad, R., Wang, J., Hercegfi, K., & Komlódi, A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21793-7_59 · Cited by 9 · see citing works
Morisi, D. (2018) · Political Research Quarterly · doi:10.1177/1065912918771529 · Cited by 9 · see citing works
User engagement with political “facts” in the context of the fake news phenomenon
Marcella, R., Baxter, G., & Walicka, A. (2019) · Journal of Documentation · doi:10.1108/jd-11-2018-0180 · Cited by 9 · see citing works
Self-citationMeasuring information providers on the Internet
Gurn, R. M. (1995) · Computers in Libraries archive · Cited by 8 · see citing works
Hahn, S. E. (1997) · Reference Services Review · doi:10.1108/00907329710306643 · Cited by 6 · see citing works
Better Together or Yes Scotland? Year One in the Battle of Britain
Torrance, D. (2012) · Scottish Affairs · doi:10.3366/scot.2012.0029 · Cited by 3 · see citing works
Alzheimer’s Disease, Long‐Term Care, and Health Policy: Who’s Going to Pay the Bill?
Monath, J. (1997) · Reference Services Review · doi:10.1108/00907329710306526 · Cited by 1 · see citing works
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4 of the 57 references couldn’t be matched to a known paper.
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Zagidullin, M., Aziz, N., & Kozhakhmet, S. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101708 · Cited by 45 · see citing works
What 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
Distractions, analytical thinking and falling for fake news: A survey of psychological factors
Kwek, A., Peh, L., Tan, J., & Lee, J.-X. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-01813-9 · Cited by 16 · see citing works
An Exploration of Egyptian Facebook Users’ Perceptions and Behavior of COVID-19 Misinformation
Shehata, A. M. K., & Eldakar, M. A. M. (2021) · Science & Technology Libraries · doi:10.1080/0194262x.2021.1925203 · Cited by 14 · see citing works
User engagement with political “facts” in the context of the fake news phenomenon
Marcella, R., Baxter, G., & Walicka, A. (2019) · Journal of Documentation · doi:10.1108/jd-11-2018-0180 · Cited by 9 · see citing works
Self-citationCognitive Authority as an Instance of Informational and Expert Power
Savolainen, R. (2021) · Libri · doi:10.1515/libri-2020-0128 · Cited by 8 · see citing works
Savolainen, R. (2022) · Journal of Documentation · doi:10.1108/jd-08-2022-0172 · Cited by 9 · see citing works
Rage of righteousness: Anger's role in promoting debunking effects during the COVID-19 pandemic
Peng, K., Zheng, Y., Qiu, Y., & Li, Q. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107896 · Cited by 7 · see citing works
Os desafios do combate à desinformação no Brasil: modalidades e perspectivas
Marques, R. S., de Oliveira, I. C. G., & Neto, M. C. F. (2023) · Journal of Science Communication América Latina · doi:10.22323/3.06010207 · Cited by 2 · see citing works
da Silva, M. R., & de Almeida, M. A. (2022) · Comunicação & Informação · doi:10.5216/ci.v25.69477
Kartal, Y. S., Schott, K., & Kern, D. (2025) · ACM Conference on Hypertext and Social Media (HT) · doi:10.1145/3720553.3746670 · Cited by 1 · see citing works
- Authors
- Baxter, G., Marcella, R., & Walicka, A.
- Affiliations
- Robert Gordon University (GB)
- Aberdeenshire Council (GB)
- Venue
- Journal of Documentation
- Publisher
- Emerald
- Published
- 2019-09-09
- Volume
- 75
- Issue
- 5
- Pages
- 1100-1123
- ISSN
- 0022-0418 (ISSN-L)
- OpenAlex
- W2944128573
- Cited by
- 11
- References
- 57
- Citations by year
- 2025: 1 · 2023: 4 · 2022: 2 · 2021: 3 · 2019: 1
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Journal of Documentation (publishedVersion)
- Open Access Institutional Repository at Robert Gordon University (Robert Gordon University) (submittedVersion, cc-by-nc)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Keywords
- perceived credibility, fake news, political facts, social media posts, political parties, source evaluation, information seeking, public trust in government, Scottish politics, online political information
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