The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media
Abstract
Research on social media and research on correcting misinformation are both growing areas in communication, but for the most part they have not found common ground. This study seeks to bridge these two areas, considering the role that social media may play in correcting misinformation. To do so, we test a new function of Facebook, which provides related links when people click on a link within Facebook. We show users a post containing misinformation, and then manipulate the related stories to either confirm, correct, or both confirm and correct the misinformation. Findings suggest that when related stories correct a post that includes misinformation, misperceptions are significantly reduced.
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.
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
The Nature and Origins of Mass Opinion
Zaller, J. R. (1992) · doi:10.1017/cbo9780511818691 · Cited by 7,785
Lord, C. G., Ross, L., & Lepper, M. R. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.11.2098 · Cited by 4,583
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
Casler, K., Bickel, L., & Hackett, E. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.05.009 · Cited by 1,662 · cited 1×
“Previous research has suggested that Mechanical Turk samples are similar to other Internet samples and substantially more diverse than samples of American college students (Buhrmester, Kwang, & Gosling, 2011; Casler, Bickel, & Hackett, 2013).”
ResultPolarization and Partisan Selective Exposure
Stroud, N. J. (2010) · Journal of Communication · doi:10.1111/j.1460-2466.2010.01497.x · Cited by 1,346
A postmodern Pandora's box: anti-vaccination misinformation on the internet
Kata, A. (2010) · Vaccine · doi:10.1016/j.vaccine.2009.12.022 · Cited by 1,208
A Theory of Framing and Opinion Formation in Competitive Elite Environments
Chong, D., & Druckman, J. N. (2007) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00331.x · Cited by 1,159
Messing, S., & Westwood, S. J. (2014) · Communication Research · doi:10.1177/0093650212466406 · Cited by 902
Political News in the News Feed: Learning Politics from Social Media
Bode, L. (2016) · Mass Communication and Society · doi:10.1080/15205436.2015.1045149 · Cited by 545 · cited 1×
“In addition, we think the Facebook function highlighted in this research represents a new way of thinking about accidental exposure to information via social media (Bode, 2012, 2015; Kim, Chen, & Gil de Zuniga, 2013).”
BackgroundSelf-citationRatkiewicz (2011) · doi:10.1145/1963192.1963301 · Cited by 541
Research works printed but not linked: 41
- Aiello, 2012, Friendship prediction and homophily in social media, ACM Transactions on the Web, 6, 9, 10.1145/2180861.2180866 · DOI · Paper page
- Bakshy , E. Rosenn , I. Marlow , C. Adamic , L. 2012 Proceedings of the 21st International Conference on WWW New York, NY ACM
- Betsch, 2012, Dr. Jekyll or Mr. Hyde? (How) the internet influences vaccination decisions: Recent evidence and tentative guidelines for online vaccine communication, Vaccine, 30, 3723, 10.1016/j.vaccine.2012.03.078 · DOI
- Bode, 2012, Facebooking it to the polls: A study in online social networking and political behavior, Journal of Information Technology & Politics, 9, 352, 10.1080/19331681.2012.709045 · DOI · Paper page
- Briñol, 2006, Fundamental processes leading to attitude change: Implications for cancer prevention communications, Journal of Communication, 56, S81, 10.1111/j.1460-2466.2006.00284.x · DOI
- Buhrmester, 2011, Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data?, Perspectives on Psychological Science, 6, 3, 10.1177/1745691610393980 · DOI · Paper page
- Cavazos-Rehg, 2014, Characterizing the followers and tweets of a marijuana-focused Twitter handle, Journal of Medical Internet Research, 16, e157, 10.2196/jmir.3247 · DOI
- Clarke, 2007, Conspiracy theories and the Internet: Controlled demolition and arrested development, Episteme, 4, 167, 10.3366/epi.2007.4.2.167 · DOI
- Cooper, 1984, A new look at dissonance theory, Advances in Experimental Social Psychology, 17, 229, 10.1016/S0065-2601(08)60121-5 · DOI · Paper page
- Dixon, 2013, The effect of falsely balanced reporting of the autism-vaccine controversy on vaccine safety perceptions and behavioral intentions, Health Education Research, 28, 352, 10.1093/her/cys110 · DOI
- Ecker, 2011, Correcting false information in memory: Manipulating the strength of misinformation encoding and its retraction, Psychonomic Bulletin & Review, 18, 570, 10.3758/s13423-011-0065-1 · DOI · Paper page
- Ennals , R. Byler , D. Agosta , J. M. Rosario , B. 2010 Proceedings of the 4th Workshop on Information Credibility New York, NY ACM 10.1145/1772938.1772952 · DOI
- Festinger, 1956, When prophecy fails, 10.1037/10030-000 · DOI · Paper page
- Fowler, 2013, The political consequences of uninformed voters, Electoral Studies, 30, 1
- Gershkoff, 2005, Shaping public opinion: The 9/11-Iraq connection in the Bush administration's rhetoric, Perspectives on Politics, 3, 525, 10.1017/S1537592705050334 · DOI
- Gillespie, 2014, Media technologies, 10.7551/mitpress/9780262525374.001.0001 · DOI · Paper page
- Jerit, 2012, Partisan perceptual bias and the information environment, The Journal of Politics, 74, 672, 10.1017/S0022381612000187 · DOI · Paper page
- Keim, 2010, Emergent use of social media: A new age of opportunity for disaster resilience, American Journal of Disaster Medicine, 6, 47, 10.5055/ajdm.2011.0044 · DOI
- Kim, 2013, Stumbling upon news on the Internet: Effects of incidental news exposure and relative entertainment use on political engagement, Computers in Human Behavior, 29, 2607, 10.1016/j.chb.2013.06.005 · DOI · Paper page
- Kraft, 2015, Why people “don't trust the evidence”: Motivated reasoning and scientific beliefs, The Annals of the American Academy of Political and Social Science, 658, 121, 10.1177/0002716214554758 · DOI · Paper page
- Kuklinski, 2000, Misinformation and the currency of democratic citizenship, Journal of Politics, 62, 790, 10.1111/0022-3816.00033 · DOI · Paper page
- Kull, 2003, Misperceptions, the media, and the Iraq war, Political Science Quarterly, 118, 569-, 10.1002/j.1538-165X.2003.tb00406.x · DOI · Paper page
- Nahon, 2013, Going viral
- Nisbet, 2013, Attitude change in competitive framing environments? Open/closed-mindedness, framing effects, and climate change, Journal of Communication, 63, 766, 10.1111/jcom.12040 · DOI · Paper page
- Nyhan, 2010, When corrections fail: The persistence of political misperceptions, Political Behavior, 32, 303, 10.1007/s11109-010-9112-2 · DOI · Paper page
- Nyhan, 2014, Effective messages in vaccine promotion: A randomized trial, Pediatrics, 133, e835, 10.1542/peds.2013-2365 · DOI · Paper page
- Nyhan, 2013, The hazards of correcting myths about health care reform, Medical Care, 51, 127, 10.1097/MLR.0b013e318279486b · DOI · Paper page
- Pariser, 2011, The Filter Bubble: How the new personalized web is changing what we read and how we think
- Qazvinian , V. Rosengren , E. Radev , D. R. Mei , Q. 2011 Proceedings of the Conference on Empirical Methods in Natural Language Processing
- Redlawsk, 2010, The affective tipping point: Do motivated reasoners ever “get it?”, Political Psychology, 31, 563, 10.1111/j.1467-9221.2010.00772.x · DOI · Paper page
- Reedy, 2014, How voters become misinformed: An investigation of the emergence and consequences of false factual beliefs, Social Science Quarterly, 95, 1399, 10.1111/ssqu.12102 · DOI
- Ruiz, 2014, Understanding vaccination resistance: Vaccine search term selection bias and the valence of retrieved information, Vaccine, 32, 5776, 10.1016/j.vaccine.2014.08.042 · DOI
- Southwell, 2013, Social networks and popular understanding of science and health, 10.1353/book.72103 · DOI
- Taber, 2006, Motivated skepticism in the evaluation of political beliefs, American Journal of Political Science, 50, 755, 10.1111/j.1540-5907.2006.00214.x · DOI · Paper page
- Tafuri, 2013, Addressing the anti-vaccination movement and the role of HCWs, Vaccine, 32, 4860, 10.1016/j.vaccine.2013.11.006 · DOI
- Tavris, 2008, Mistakes were made (but not by me): Why we justify foolish beliefs, bad decisions, and hurtful acts
- Uscinski, 2014, American conspiracy theories, 10.1093/acprof:oso/9780199351800.001.0001 · DOI · Paper page
- Vishwanath, 2014, Habitual Facebook use and its impact on getting deceived on social media, Journal of Computer-Mediated Communication, 20, 83, 10.1111/jcc4.12100 · DOI
- Vraga, 2011, Dealing with dissonance: Responding to an incongruent test result in a new media environment, Cyberpsychology, Behavior and Social Networking, 14, 689, 10.1089/cyber.2010.0479 · DOI
- Vraga, 2015, How individual sensitivities to disagreement shape youth political expression on Facebook, Computers in Human Behavior, 45, 281, 10.1016/j.chb.2014.12.025 · DOI
- Weeks, 2010, The symbiosis of news coverage and aggregate online search behavior: Obama, rumors, and presidential politics, Mass Communication and Society, 13, 341, 10.1080/15205430903470532 · DOI
Cited by
Systematic Literature Review on the Spread of Health-related Misinformation on Social Media
Wang, Y., McKee, M., Torbica, A., & Stuckler, D. (2019) · Social Science & Medicine · doi:10.1016/j.socscimed.2019.112552 · Cited by 1,806
Prevalence of health misinformation on social media: systematic review
Suarez-Lledo, V., & Alvarez-Galvez, J. (2021) · Journal of Medical Internet Research · doi:10.2196/17187 · Cited by 1,564
The psychological drivers of misinformation belief and its resistance to correction
Ecker, U. K. H., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Kendeou, P., Vraga, E. K., & Amazeen, M. A. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-021-00006-y · Cited by 1,372
Self-citationThe Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics
Flynn, D. J., Nyhan, B., & Reifler, J. (2017) · Political Psychology · doi:10.1111/pops.12394 · Cited by 1,183
Public health and online misinformation: challenges and recommendations
Swire-Thompson, B., & Lazer, D. (2020) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040119-094127 · Cited by 1,170
Metadata
- Authors
- Bode, L., & Vraga, E. K.
- Venue
- Journal of Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-06-23
- Volume
- 65
- Issue
- 4
- Pages
- 619-638
- ISSN
- 0021-9916 (ISSN-L)
- OpenAlex
- W1613353461
- Cited by
- 663
- References
- 11
- FWCI
- 86.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 70 d)
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: In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media. https://app.cochat.ai/papers/10.1111/jcom.12166
- The paper
- Bode, L., & Vraga, E. K. (2015). In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media. Journal of Communication. https://doi.org/10.1111/jcom.12166
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.