The Role of Social Sciences in the Study of Misinformation: A Bibliometric Analysis of Web of Science and Scopus Publications (2017-2022)

Authors

DOI:

https://doi.org/10.51698/tripodos.2024.56.01

Abstract

This study examines the contribution of the Social Sciences to the field of disinformation research. Using network analysis and bibliometrics with the Bibliometrix tool in R, we analyze academic publications in Scopus and Web of Science (WoS). Our aim is to understand the extent of scholarly work on misinformation, disinformation, and fake news. We compare Scopus and WoS data, explore research trends, identify influential authors, examine relevant journals, assess productive institutions and countries, analyze author keywords, and provide a brief analysis of highly cited articles. The findings reveal the scholarly landscape of disinformation research within the Social Sciences. The comparison of Scopus and WoS data highlights the coverage and representation of disinformation studies. Research trends indicate the growth and acceptance of the field through publication and citation rates. Influential authors are identified based on publication output and h-index. Key journals in the field are identified, and productive institutions and countries are assessed. The analysis of author keywords reveals central themes and topics within the discipline. The analysis of highly cited articles provides insights into theoretical and methodological aspects that have received significant attention.

Downloads

Download data is not yet available.

Author Biography

Lucas Durr Missau, Universidad Nacional de San Martín

Lucas Durr Missau is a postdoctoral re­searcher at the School of Politics and Govern­ment in the National University of San Martín. He holds a PhD in Communication from the National University of La Plata (UNLP), Bue­nos Aires, Argentina. He also works as journal­ist and volunteer professor at the Department of Communication Sciences in the Federal University of Santa Maria (UFSM), Brazil. He is currently researching the role of disinforma­tion in polarized political systems, especially in Argentina and Brazil, analyzing strategies used by political and media actors and assess­ing their effects on societal polarization and democratic discourse. ORCID: 0000­0002­9719­7772.

References

Akram, Muhammad; Nasar, Asim, and Arshad-Ayaz, Adeela (2022). A Bibliometric analysis of disinformation through social media. Online Journal of Communication and Media Technologies, 12(4). https://doi.org/10.30935/ojcmt/12545

Allington, Daniel; Duffy, Bobby; Wessely, Simon; Dhavan, Nayana, and Rubin, James (2021). Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine, 51(10), 1763-1769. https://doi.org/10.1017/S003329172000224X

Aria, Massimo and Cuccurullo, Corrado (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of

Informetrics, 11(4), 959-975.

Aria, Massimo; Cuccurullo, Corrado; D’Aniello, Luca; Misuraca, Michelangelo, and Spano, Maria (2022). Thematic analysis as a new

culturomic tool: The social media coverage on COVID-19 pandemic in Italy. Sustainability (Switzerland), 14(6), 1-22. https://doi.org/10.3390/su14063643

Bakir, Vian and McStay, Andrew (2018). Fake news and the economy of emotions: Problems, causes, solutions. Digital Journalism, 6(2), 154-175. https://doi.org/10.1080/21670811.2017.1345645

Bennett, W. Lance and Livingston, Steven (2018). The disinformation order: Disruptive communication and the decline of democratic institutions. European Journal of Communication, 33(2), 122-139. https://doi.org/10.1177/0267323118760317

Bode, Leticia and Vraga, Emilia K. (2018). See Something, Say Something: Correction of Global Health Misinformation on Social Media. Health Communication, 33(9), 1131-1140. https://doi.org/10.1080/10410236.2017.1331312

Buchanan, Tom and Benson, Vladlena (2019). Spreading disinformation on Facebook: Do trust in message source, risk propensity, or personality affect the organic reach of “fake news”? Social Media and Society, 5(4). https://doi.org/10.1177/2056305119888654

Casero-Ripollés, Andreu (2020). Impact of Covid-19 on the media system. Communicative and democratic consequences of news consumption during the outbreak. Profesional de la Informacion, 29(2), 1-11. https://doi.org/10.3145/epi.2020.mar.23

Chen, Adrian (2017, August 28). The fake-news fallacy. Old fights about radio have lessons for new fights about the Internet. The New

Yorker. https://www.newyorker.com/magazine/2017/09/04/the-fake-news-fallacy?utm_content=bufferfc8ed%26utm_medium=social%26utm_source=twitter.com%26utm_campaign=buffer

Dam, Nicholas T. van; Vugt, Marieke K. van; Vago, David R.; Schmalzl, Laura; Saron, Clifford D.; Olendzki, Andrew; Meissner, Ted; Lazar, Sara W.; Kerr, Catherine E.; Gorchov, Jolie; Fox, Kieran C. R.; Field, Brent A.; Britton, Willoughby B.; Brefczynski-Lewis, Julie A., and Meyer, David E. (2018). Mind the hype: A critical evaluation and prescriptive agenda for research on mindfulness and meditation. Perspectives on Psychological Science, 13(1), 36-61. https://doi.org/10.1177/1745691617709589

Donthu, Naveen; Kumar, Satish; Mukherjee, Debmalya; Pandey, Nitesh, and Lim, Weng M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133(May), 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070

Duyn, Emily van and Collier, Jessica (2019). Priming and fake news: The effects of elite discourse on evaluations of news media. Mass

Communication and Society, 22(1), 29-48. https://doi.org/10.1080/15205436.2018.1511807

Echchakoui, Said (2020). Why and how to merge Scopus and Web of Science during bibliometric analysis: The case of sales force literature from 1912 to 2019. Journal of Marketing Analytics, 8(3), 165-184. https://doi.org/10.1057/s41270-020-00081-9

Flynn, Daniel J.; Nyhan, Brendan, and Reifler, Jason (2017). The nature and origins of misperceptions: Understanding false and unsupported beliefs about politics. Political Psychology, 38, 127-150. https://doi.org/10.1111/pops.12394

Freelon, Deen and Wells, Chris (2020). Disinformation as political communication. Political Communication, 37(2), 145-156. https://doi.org/10.1080/10584609.2020.1723755

Graves, Lucas (2018). Boundaries not drawn: Mapping the institutional roots of the global fact-checking movement. Journalism Studies, 19(5), 613-631. https://doi.org/10.1080/1461670X.2016.1196602

Hameleers, Michael; Brosius, Anna; Marquart, Franziska; Goldberg, Andreas C., Elsas, Erika van, and Vreese, Claes H. de (2021). Mistake or manipulation? Conceptualizing perceived mis- and disinformation among news consumers in 10 European countries. Communication Research. https://doi.org/10.1177/0093650221997719

Hameleers, Michael; Brosius, Anna, and Vreese, Claes H. de (2022). Whom to trust? Media exposure patterns of citizens with perceptions of misinformation and disinformation related to the news media. European Journal of Communication, 37(3), 237-268. https://doi.org/10.1177/02673231211072667

Hameleers, Michael and Meer, Toni G. L. A. van der (2020). Misinformation and polarization in a high-choice media environment: How effective are political fact-checkers? Communication Research, 47(2), 227-250. https://doi.org/10.1177/0093650218819671

Kiernan, Linda (2017, August 15). “Frondeurs” and fake news: How misinformation ruled in 17th-century France. The Local. https://www.thelocal.fr/20170815/frondeurs-and-fake-news-how-misinformation-ruled-in-17th-century-france

Kim, Hye K.; Ahn, Jisoo; Atkinson, Lucy, and Kahlor, Lee A. (2020). Effects of COVID-19 misinformation on information seeking, avoidance, and processing: A multicountry comparative study. Science Communication, 42(5), 586-615. https://doi.org/10.1177/1075547020959670

Kuklinski, James H.; Quirk, Paul J.; Jerit, Jennifer; Schwieder, David, and Rich, Robert F. (2000). Misinformation and the currency of democratic citizenship. Journal of Politics, 62(3), 790-816. https://doi.org/10.1111/0022-3816.00033

Laato, Samuli; Islam, A. K. M.; Najmul, Islam; Muhammad, Nazrul, and Whelan, Eoin (2020). What drives unverified information sharing and cyberchondria during the COVID-19 pandemic? European Journal of Information Systems, 29(3), 288-305. https://doi.org/10.1080/0960085X.2020.1770632

Lewandowsky, Stephan; Ecker, Ullrich K. H., and Cook, John (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition, 6(4), 353-369. https://doi.org/10.1016/j.jarmac.2017.07.008

Loomba, Sahil; Figueiredo, Alexandre de; Piatek, Simon J.; Graaf, Kristen de, and Larson, Heidi J. (2021). Measuring the impact

of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature Human Behaviour, 5(7), 337-348.

Lovari, Alessandro (2020). Spreading (dis) trust: Covid-19 misinformation and government intervention in Italy. Media and Communication, 8(2), 458-461. https://doi.org/10.17645/mac.v8i2.3219

Nelson, Jacob L. and Taneja, Harsh (2018). The small, disloyal fake news audience: The role of audience availability in fake news consumption. New Media and Society, 20(10), 3720-3737. https://doi.org/10.1177/1461444818758715

Nyhan, Brendan and Reifler, Jason (2010). When corrections fail: The persistence of political misperceptions. Political Behavior,

(2), 303-330. https://doi.org/10.1007/s11109-010-9112-2

Obreja, Dragos M. (2022). Mapping the political landscape on social media using bibliometrics: A longitudinal co-word analysis on Twitter and Facebook Publications published between 2012 and 2021. Social Science Computer Review. https://doi.org/10.1177/08944393221117749

Parra Valero, Pablo and Oliveira, Lidia (2018). Fake news: Una revisión sistemática de la literatura. Observatorio (OBS*) Special Issue,

(extra 1), 54-78. http://obs.obercom.pt.

Patra, Raj K.; Pandey, Neha, and Sudarsan, Desul (2022). Bibliometric analysis of fake news indexed in Web of Science and Scopus (2001-2020). Global Knowledge, Memory and Communication. https://doi.org/10.1108/GKMC-11-2021-0177

Pennycook, Gordon; Cannon, Tyrone D., and Rand, David G. (2018). Prior exposure increases perceived accuracy of fake news. Journal of Experimental Psychology: General, 147(12), 1865-1880. https://doi.org/10.1037/xge0000465.supp

Pennycook, Gordon; McPhetres, Jonathon; Zhang, Yunhao; Lu, Jackson G. and Rand, David G. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological Science, 31(7), 770-780. https://doi.org/10.1177/0956797620939054

Pennycook, Gordon and Rand, David G. (2019). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, 188, 39-50. https://doi.org/10.1016/j.cognition.2018.06.011

Romer, Daniel and Jamieson, Kathleen H. (2020). Conspiracy theories as barriers to controlling the spread of COVID-19 in the US. Social Science and Medicine, 263, 113356. https://doi.org/10.1016/j.socscimed.2020.113356

Sahoo, Jyotshna; Sahu, Sudam Charan, and Mohanty, Basudev (2021). Research on fake news: An empirical analysis of selected library and information science journals. DESIDOC Journal of Library and Information Technology, 41(4), 268-274. https://

doi.org/10.14429/DJLIT.41.4.17168

Salaverría, Ramón; Buslón, Nataly; López-Pan, Fernando; León, Bienvenido; López-Goñi, I., and Erviti, María Carmen (2020). Desinformación en tiempos de pandemia: Tipología de los bulos sobre la Covid-19. El Profesional de la Información, 29(3), 1-15. https://doi.org/10.3145/epi.2020.may.15

Tandoc, Edson C. (2014). Journalism is twerking? How web analytics is changing the process of gatekeeping. New Media and Society, 16(4), 559-575. https://doi.org/10.1177/1461444814530541

Tandoc, Edson C. (2019). The facts of fake news: A research review. Sociology Compass, 13(9), 1-9. https://doi.org/10.1111/soc4.12724

Tandoc, Edson; Lim, Zheng Wei, and Ling, Richard (2018). Defining “fake news”: A typology of scholarly definitions. Digital Journalism, 6(2), 137-153. https://doi.org/10.1080/21670811.2017.1360143

Vaccari, Cristian and Chadwick, Andrew (2020). Deepfakes and disinformation: Exploring the impact of synthetic political video on deception, uncertainty, and trust in news. Social Media and Society, 6(1). https://doi.org/10.1177/2056305120903408

Vargo, Chris J.; Guo, Lei, and Amazeen, Michelle A. (2018). The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016. New Media and Society, 20(5), 2028-2049. https://doi.org/10.1177/1461444817712086

Vraga, Emily K. and Bode, Leticia (2020). Defining misinformation and understanding its bounded nature: Using expertise and evidence for describing misinformation. Political Communication, 37(1), 136-144. https://doi.org/10.1080/10584609.2020.1716500

Waisbord, Silvio (2018). Truth is what happens to news: On journalism, fake news, and post-truth. Journalism Studies, 19(13), 1866-1878. https://doi.org/10.1080/1461670X.2018.1492881

Walter, Nathan; Cohen, Jonathan; Holbert, R. Lance; and Morag, Yasmin (2020). Fact checking: A meta-analysis of what works and for whom. Political Communication, 37(3), 1-26. https://doi.org/10.1080/10584609.2019.1668894

Walter, Nathan and Murphy, Sheila T. (2018). How to unring the bell: A meta-analytic approach to correction of misinformation. Communication Monographs, 85(3), 423-441. https://doi.org/10.1080/03637751.2018.1467564

Walter, Nathan and Tukachinsky, Riva (2020). A meta-analytic examination of the continued influence of misinformation in the face of correction: How powerful is it, why does it happen, and how to stop it? Communication Research, 47(2), 155-177. https://doi.org/10.1177/0093650219854600

Wang, Chih-Chien (2020). Fake news and related concepts: Definitions and recent research development. Contemporary Management Research, 16(3), 145-174. https://doi.org/10.7903/CMR.20677

Wardle, Claire (2017, February 16). Fake news. It’s complicated. First Draft. https://medium.com/1st-draft/fake-news-its-complicated-

d0f773766c79

Wardle, Claire and Derakhshan, Hossein (2017). Information disorder: Toward an interdisciplinary framework for research and policy making. Report to the Council of Europe, 108. https://rm.coe.int/information-disorder-toward-an-interdisciplinary-framework-for-researc/168076277c

Zhang, Xichen and Ghorbani, Ali A. (2020). An overview of online fake news: Characterization, detection, and discussion. Information Processing and Management, 57(2), 102025. https://doi.org/10.1016/j.ipm.2019.03.004

Zimmermann, Fabian and Kohring, Matthias (2020). Mistrust, disinforming news, and vote choice: A panel survey on the origins and consequences of believing disinformation in the 2017 German Parliamentary Election. Political Communication, 37(2), 215-237. https://doi.org/10.1080/10584609.2019.1686095

Downloads

Published

22-11-2024

How to Cite

Durr Missau, L. (2024). The Role of Social Sciences in the Study of Misinformation: A Bibliometric Analysis of Web of Science and Scopus Publications (2017-2022). Tripodos, (56), 141–166. https://doi.org/10.51698/tripodos.2024.56.01