The DOI matches its Crossref record; 112 of the 116 references it cites were found in a registry or an index, and 4 are not checked yet.
The Impact of Affect on the Perception of Fake News on Social Media: A Systematic Review
Open accessAbstract
Social media platforms, which are ripe with emotionally charged pieces of information, are vulnerable to the dissemination of vast amounts of misinformation. Little is known about the affective processing that underlies peoples’ belief in and dissemination of fake news on social media, with the research on fake news predominantly focusing on cognitive processing aspects. This study presents a systematic review of the impact of affective constructs on the perception of fake news on social media platforms. A comprehensive literature search was conducted in the SCOPUS and Web of Science databases to identify relevant articles on the topics of affect, misinformation, disinformation, and fake news. A total of 31 empirical articles were obtained and analyzed. Seven research themes and four research gaps emerged from this review. The findings of this review complement the existing literature on the cognitive mechanisms behind how people perceive fake news on social media. This can have implications for technology platforms, governments, and citizens interested in combating infodemics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Growing scientific evidence shows that negative emotions, such as fear, anger, anxiety, and sadness, are systematically used on social media to amplify the spread of disinformation and, importantly, online engagement -to the benefit of social media platforms (Ali Adeeb & Mirhoseini, 2023).”
From Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project (2026) · cites this paper as Ali Adeeb & Mirhoseini, 2023
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241
An argument for basic emotions
Ekman, P. (1992) · Cognition and Emotion · doi:10.1080/02699939208411068 · Cited by 9,646
The case for motivated reasoning.
Kunda, Z. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.108.3.480 · Cited by 9,022
The spread of true and false news online
Vosoughi, S., Roy, D., & Aral, S. (2018) · Science · doi:10.1126/science.aap9559 · Cited by 8,847 · cited 5×
“- Participants with higher levels of emotion were more inclined to take actions that either spread or suppressed fake news.”
BackgroundInfluentialSocial Media and Fake News in the 2016 Election
Allcott, H., & Gentzkow, M. (2017) · Journal of Economic Perspectives · doi:10.1257/jep.31.2.211 · Cited by 6,767
Core affect and the psychological construction of emotion.
Russell, J. A. (2003) · Psychological Review · doi:10.1037/0033-295x.110.1.145 · Cited by 6,113
Chaiken, S. (1980) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.39.5.752 · Cited by 5,516
Dual-Process Theories of Higher Cognition: Advancing the Debate
Evans, J. S. B. T., & Stanovich, K. E. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691612460685 · Cited by 4,271
Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., Rothschild, D., et al. (2018) · Science · doi:10.1126/science.aao2998 · Cited by 4,160
Research works printed but not linked: 12
- Ajzen, Icek (1996). Social Psychology: Handbook of Basic Principles, Guilford Press.
- Bless, Herbert, and Fiedler, Klaus (2006). Affect in Social Thinking and Behaviour, Psychology Press.
- Corbu, 2021, Fake News Going Viral: The Mediating Effect of Negative Emotions, Media Literacy and Academic Research, 4, 58
- Marcus, George E., Neuman, W. Russell, and MacKuen, Michael (2000). Affective Intelligence and Political Judgment, University of Chicago Press.
- Mehrabian, Albert, and Russell, James A. (1974). An Approach to Environmental Psychology, The MIT Press.
- Mortillaro, Marcello, and Mehu, Marc (2015). International Encyclopedia of the Social & Behavioral Sciences, Elsevier.
- Osatuyi, Babajide, and Hughes, Jerald (, January January). A Tale of Two Internet News Platforms-Real vs. Fake: An Elaboration Likelihood Model Perspective. Paper presented at the 51st Hawaii International Conference on System Sciences (HICSS), Waikoloa Village, HI, USA.
- Pennycook, Gordon, and Rand, David G. (2023, November 01). Susceptibility to Partisan Fake News Is Explained More by a Lack of Deliberation than by Willful Ignorance. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3165567.
- Rosenstiel, Tom, Sonderman, Jeff, Loker, Kevin, Ivancin, Maria, and Kjarval, Nina (2023, November 01). Twitter and the News: How People Use the Social Network to Learn About the World, AmericanPress Institute. Available online: http://www.americanpressinstitute.org/wp-content/uploads/2015/09/Twitter-and-News-How-people-use-Twitter-to-get-news-American-Press-Institute.pdf.
- Scheibenzuber, 2023, Dialog in the Echo Chamber: Fake News Framing Predicts Emotion, Argumentation and Dialogic Social Knowledge Building in Subsequent Online Discussions, Computers in Human Behavior, 140, 107587, 10.1016/j.chb.2022.107587 · DOI
- Settle, Jaime E. (2020). The Oxford Handbook of Networked Communication, Oxford University Press.
- Wahl-Jorgensen, Karin (2019). Emotions, Media and Politics, John Wiley & Sons.
Cited by
Sorted by citations
Setyawan, E., Rianto, Wardana, K., Sugihartanto, Pratama, R. A., & Ibrahim, M. (2025) · Jurnal Audiens · doi:10.18196/jas.v6i2.607 · Cited by 9
Strategizing marketing initiatives from tourism-seeking behaviors among travelers
Reamico, D. M. D., Bangahan, S., Hayudini, M. A. A., & Chavez, J. V. (2025) · Environment and Social Psychology · doi:10.59429/esp.v10i7.3880 · Cited by 7
Unveiling the Truth: Detecting Fake News Using SVM and TF-IDF
Rizal, R., Faturahman, A., Impron, A., Darmawan, I., Haerani, E., & Rahmatulloh, A. (2025) · International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS) · doi:10.1109/icadeis65852.2025.10933324 · Cited by 6
Turós, M., Kenyeres, A. Z., & Szűts, Z. (2024) · Telematics and Informatics Reports · doi:10.1016/j.teler.2024.100160 · Cited by 6
Komendantova, N., Hassani, H., Yeganegi, M. R., Al‐Salaymeh, A., & Qoaider, L. (2024) · Land · doi:10.3390/land13091525 · Cited by 5
Metadata
- Authors
- Ali Adeeb, R., & Mirhoseini, M.
- Affiliations
- Department of Supply Chain and Business Technology Management, John Molson School of Business, 1450 Guy St, Montreal, QC H3H 0A1, Canada
- Venue
- Social Sciences
- Publisher
- MDPI AG
- Published
- 2023-12-06
- Volume
- 12
- Issue
- 12
- Pages
- 674
- ISSN
- 2076-0760 (ISSN-L)
- OpenAlex
- W4389387138
- Cited by
- 45
- References
- 113
- Citations by year
- 2026: 18 · 2025: 19 · 2024: 7 · 2023: 1
- FWCI
- 1.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Social Sciences (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Fonds de recherche du Québec – Société et culture (FRQSC) (2023-NP-312527)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Communication and COVID-19 Impact
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- fake news, misinformation, disinformation, affect, emotions, social media, infodemic, emotional processing
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Impact of Affect on the Perception of Fake News on Social Media: A Systematic Review. https://app.cochat.ai/papers/10.3390/socsci12120674
- The paper
- Ali Adeeb, R., & Mirhoseini, M. (2023). The Impact of Affect on the Perception of Fake News on Social Media: A Systematic Review. Social Sciences. https://doi.org/10.3390/socsci12120674