Fake news-ei buruzko azterlanen fidagarritasuna: dataset-ak eta metrikak
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Argitaratua
12-06-2024
Vianny Geraldine Castellanos-Trujillo
Patricia Palomares-Sánchez
Raúl Rodríguez-Ferrándiz
Tatiana Hidalgo Marí
https://orcid.org/0009-0009-7952-0116
Patricia Palomares-Sánchez
Raúl Rodríguez-Ferrándiz
Tatiana Hidalgo Marí
Laburpena
Gran cantidad de estudios empíricos sobre fake news emplean como datasets repertorios de noticias falsas y de noticias auténticas, al objeto de compararlos. Dichos estudios apelan a menudo a la confiabilidad (como factor para caracterizar y evaluar el mensaje, el medio, la fuente y la percepción de la audiencia. A partir de los 50 artículos de metodología empírica más citados en WoS y Scopus (2017-2022) sobre fake news y confiabilidad proponemos una metainvestigación donde analizamos los criterios, índices, métricas y bases de datos que declaran los investigadores para justificar su selección tanto de noticias auténticas como falsas.
Nola aipatu
Castellanos-Trujillo, V. G. ., Palomares-Sánchez, P., Rodríguez-Ferrándiz, R. ., & Hidalgo Marí, T. (2024). Fake news-ei buruzko azterlanen fidagarritasuna: dataset-ak eta metrikak. Zer - Komunikazio Ikasketen Aldizkaria, 29(56), 87–109. https://doi.org/10.1387/zer.26185
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References
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Appelman, A., & Sundar, S. S. (2016). Measuring Message Credibility: Construction and Validation of an Exclusive Scale. Journalism & Mass Communication Quarterly, 93(1), 59-79. https://doi.org/10.1177/1077699015606057
Barrera, O., et al. (2020). Facts, alternative facts, and fact checking in times of post-truth politics. Journal of Public Economics, 182, 104-123. https://doi.org/10.1016/j.jpubeco.2019.104123
Boukes, M., Jones, N. P., & Vliegenthart, R. (2022). Newsworthiness and story prominence: How the presence of news factors relates to upfront position and length of news stories. Journalism, 23(1), 98–116. https://doi.org/10.1177/1464884919899313
Casero-Ripollés, A. (2020). Impact of Covid-19 on the media system. Communicative and democratic consequences of news consumption during the outbreak. El profesional de la información, 29(2), e290223. https://doi.org/10.3145/epi.2020.mar.23
Clayton, K. Et. Al. (2020). Real Solutions for Fake News? Measuring the Effectiveness of General Warnings and Fact‑Check Tags in Reducing Belief in False Stories on Social Media. Political Behavior, 42, 1073–1095. https://doi.org/10.1007/s11109-019-09533-0
Del Vicario, M. Et Al. (2019). Polarization and Fake News: EarlyWarning of Potential Misinformation Targets. ACM Transactions on the Web, 13(2) https://doi.org/10.1145/3316809
Duffy, A., Tandoc, E., & Ling, R. (2020). Too good to be true, too good not to share: the social utility of fake news. Information, Communication & Society, 23(13),1965-1979. https://doi.org/10.1080/1369118X.2019.1623904
Edgerly, S. & Vraga, E. K. (2020). That’s Not News: Audience Perceptions of “News-ness” and Why It Matters. Mass Communication and Society, 23(5), 730–754. https://doi.org/10.1080/15205436.2020.1729383
Flanagin, A.J., Winter, S. & Metzger, M.J. (2020) Making sense of credibility in complex information environments: the role of message sidedness, information source, and thinking styles in credibility evaluation online, Information, Communication & Society, 23(7), 1038-1056. https://doi.org/10.1080/1369118X.2018.1547411
Floridi, L., & Illary, Ph. (2014). The philosophy of information quality. Springer.
Guess, A., Nyhan, B., & Reifler, J. (2018). Selective Exposure to Misinformation: Evidence from the consumption of fake news during the 2016 U.S. presidential campaign. European Research Council, 9.
Hovland, C. I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly, 15, 635–650.
Herrero-Beaumont, E. (2022). Emerging Transparency Systems for News Governance to Protect Media Independence and Credibility in the Digital Infosphere. Communication Law and Policy, 27(3-4), 220-249. https://doi.org/10.1080/10811680.2022.2154071
Lawrence, R. G., Napoli, P. M. (eds.) (2023). News quality in the digital age. London: Routledge.
Lee, S., Gil De Zúñiga, H., & Munger, K. (2023). Antecedents and consequences of fake news exposure: a two-panel study on how news use and different indicators of fake news exposure affect media trust. Human Communication Research, hqad019. https://doi.org/10.1093/hcr/hqad019
Lee, Y. W., Strong, D.M., Kahn, B.K., & Wang, R.Y. (2002). AIMQ: a methodology for information quality assessment. Information & Management, 40, 133–146. https://doi.org/10.1016/S0378-7206(02)00043-5
Luo, M., Hancock, J. T., & Markowitz, D. M. (2022). Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social Media: Effects of Truth-Bias and Endorsement Cues. Communication Research, 49(2), 171–195. https://doi.org/10.1177/0093650220921321
Lyons, B. A., Montgomery, J. M., Guess, A. M., Nyhan, B., & Reifler, J. (2021). Overconfidence in news judgments is associated with false news susceptibility. Proceedings of the National Academy of Sciences, 118(23), e2019527118.https://doi.org/10.1073/pnas.2019527118
Maertens, R., Roozenbeek, J., Basol, M., & Van Der Linden, S. (2021). Long-term effectiveness of inoculation against misinformation: Three longitudinal experiments. Journal of Experimental Psychology: Applied, 27(1), 1–16. https://doi.org/10.1037/xap0000315
Mcquail, D. (1992). Media Performance: Mass Communication in the Public Interest. London: Sage.
Metzger, M. J. Et Al. (2003). Credibility for the 21st Century: Integrating Perspectives on Source, Message, and Media Credibility in the Contemporary Media Environment. Annals of the International Communication Association, 27(1), 293-335. https://doi.org/10.1080/23808985.2003.11679029
Metzger, M. J., & Flanagin, A. J. (2015). Psychological approaches to credibility assessment online. In S. S. Sundar (Ed.), The handbook of the psychology of communication technology (pp. 445–466). West Sussex, UK: John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118426456.ch20
Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010). Social and heuristic approaches to credibility evaluation online. Journal of Communication, 60(3), 413–439. https://doi.org/10.1111/j.1460-2466.2010.01488.x
Mitchell, A., Jurkowitz, M., Oliphant, J. B., & Shearer, E. (2020, July 30). Americans Who Mainly Get Their News on Social Media Are Less Engaged, Less Knowledgeable. Pew Research Center. https://pewrsr.ch/437CXY1
Nyhan, B. Et Al. (2020). Taking fact‑checks literally but not seriously? The effects of journalistic fact‑checking on Factual Beliefs and Candidate Favorability. Political Behavior 4, pp. 939–960. https://doi.org/10.1007/s11109-019-09528-x
Osmundsen, M. Et Al. (2021). Partisan Polarization Is the Primary Psychological Motivation behind Political Fake News Sharing on Twitter. American Political Science Review, 115(3), 999–1015. https://doi.org/10.1017/S0003055421000290
Palau-Sampio, D., Carratalá, A., Tarullo, R., & Crisóstomo, P. (2022). Quality recognition as a prescriber against disinformation. Comunicar, 72, 59-70. https://doi.org/10.3916/C72-2022-05
Park, A. Et Al. (2020). Understanding Fake News: A Bibliographic Perspective. Defence Strategic Communications, 8. https://doi.org/10.30966/2018.RIGA.8.4.
Pennycook, G., Epstein, Z. Mosleh, M., Arechar, A. A., Eckles, D., & Rand, D. G. (2021). Shifting attention to accuracy can reduce misinformation online. Nature, 592, 590–595. https://doi.org/10.1038/s41586-021-03344-2
Pennycook, G., Mcphetres, J., Zhang, Y., Lu, J. G., Rand, D. 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
Petersen M. B. Osmudsen, M., & Arceneaux, K. (2023). The “Need for Chaos” and Motivations to Share Hostile Political Rumors. American Political Science Review, 117(4), 1486–1505. https://doi.org/10.1017/S0003055422001447
Righetti, N. (2021). Four years of fake news: A quantitative analysis of the scientific literature. First Monday, 26(6-7). https://doi.org/10.5210/fm.v26i7.11645
Roozenbeek, J. & Van Der Linden, S. (2019). Fake news game confers psychological resistance against online misinformation. Palgrave Communication, 5, 65. https://doi.org/10.1057/s41599-019-0279-9
Roberts, C. (2010). Correlations among variables in message and messenger credibility scales. American Behavioral Scientist, 54(1), 43–56. https://doi.org/10.1177/0002764210376310
Sádaba, C. & Salaverría, R. (2023). Combatir la desinformación con alfabetización mediática: análisis de las tendencias en la Unión Europea. Revista Latina de Comunicación Social, 81, 17-33. https://www.doi.org/10.4185/RLCS-2023-1552
Serrano-Puche, J. (2017), Credibilidad y confianza en los medios de comunicación: un panorama de la situación en España. En González, M. y Valderrama, M. (coords.) (2017). Discursos comunicativos persuasivos hoy (pp. 427-438). Madrid: Tecnos.
Shearer, E. & Mitchell, A. (2021, January 12). News use across social media platforms in 2020. Pew Research Center. https://t.ly/S6tSd
Shin, I., Wang L., & Lu, Y. (2022). Twitter and Endorsed (Fake) News: The Influence of Endorsement by Strong Ties, Celebrities, and a User Majority on Credibility of Fake News During the COVID-19 Pandemic. International Journal of Communication, 16, 2573–2595.
Shu, K. Et Al. (2017). Fake news detection on social media: A data mining perspective. ACM SIGKDD Explorations Newsletter 19, 24–36. https://doi.org/10.1145/3137597.3137600
Sterrett, D. Et Al. (2019). Who Shared It?: Deciding What News to Trust on Social Media. Digital Journalism, 7(6), 783-801. https://doi.org/10.1080/21670811.2019.1623702
Tandoc Et Al. (2018). Audiences’ acts of authentication in the age of fake news: A conceptual framework. New Media & Society, 20(8) 2745–2763.
Trillo-Domínguez, M., Salaverría, R., Codina, L., & De-Moya-Anegón, F. (2023). SCImago Media Rankings (SMR): situation and evolution of the digital reputation of the media worldwide. Profesional De La información, 32(5).
Trillo-Dominguez Et Al. (2024). Digital reputation indicator: A webometric approach for a global ranking of digital media, Journalism. https://doi.org/10.1177/14648849241237647
Truong, B.T., Allen, O.M. & Menczer, F. (2024). Account credibility inference based on news-sharing networks. EPJ Data Sci. 13(10). https://doi.org/10.1140/epjds/s13688-024-00450-9
Viviani, M., & Pasi, G. (2017). Credibility in social media: opinions, news, and health information—a survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 7. https://doi.org/10.1002/widm.1209
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359, 1146–1151. https://www.science.org/doi/10.1126/science.aap9559
Zhou, X. & Zafarani, R. (2020). A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities. ACM Computing Surveys, 53(5). https://doi.org/10.1145/3395046
Alonso García, S., Gómez García, G., Sanz Prieto, M., Moreno Guerrero, A. J., & Rodríguez Jiménez, C. (2020). The impact of term fake news on the scientific community. Scientific performance and mapping in web of science. Social Sciences, 9(5), 73. https://doi.org/10.3390/socsci9050073
Appelman, A., & Sundar, S. S. (2016). Measuring Message Credibility: Construction and Validation of an Exclusive Scale. Journalism & Mass Communication Quarterly, 93(1), 59-79. https://doi.org/10.1177/1077699015606057
Barrera, O., et al. (2020). Facts, alternative facts, and fact checking in times of post-truth politics. Journal of Public Economics, 182, 104-123. https://doi.org/10.1016/j.jpubeco.2019.104123
Boukes, M., Jones, N. P., & Vliegenthart, R. (2022). Newsworthiness and story prominence: How the presence of news factors relates to upfront position and length of news stories. Journalism, 23(1), 98–116. https://doi.org/10.1177/1464884919899313
Casero-Ripollés, A. (2020). Impact of Covid-19 on the media system. Communicative and democratic consequences of news consumption during the outbreak. El profesional de la información, 29(2), e290223. https://doi.org/10.3145/epi.2020.mar.23
Clayton, K. Et. Al. (2020). Real Solutions for Fake News? Measuring the Effectiveness of General Warnings and Fact‑Check Tags in Reducing Belief in False Stories on Social Media. Political Behavior, 42, 1073–1095. https://doi.org/10.1007/s11109-019-09533-0
Del Vicario, M. Et Al. (2019). Polarization and Fake News: EarlyWarning of Potential Misinformation Targets. ACM Transactions on the Web, 13(2) https://doi.org/10.1145/3316809
Duffy, A., Tandoc, E., & Ling, R. (2020). Too good to be true, too good not to share: the social utility of fake news. Information, Communication & Society, 23(13),1965-1979. https://doi.org/10.1080/1369118X.2019.1623904
Edgerly, S. & Vraga, E. K. (2020). That’s Not News: Audience Perceptions of “News-ness” and Why It Matters. Mass Communication and Society, 23(5), 730–754. https://doi.org/10.1080/15205436.2020.1729383
Flanagin, A.J., Winter, S. & Metzger, M.J. (2020) Making sense of credibility in complex information environments: the role of message sidedness, information source, and thinking styles in credibility evaluation online, Information, Communication & Society, 23(7), 1038-1056. https://doi.org/10.1080/1369118X.2018.1547411
Floridi, L., & Illary, Ph. (2014). The philosophy of information quality. Springer.
Guess, A., Nyhan, B., & Reifler, J. (2018). Selective Exposure to Misinformation: Evidence from the consumption of fake news during the 2016 U.S. presidential campaign. European Research Council, 9.
Hovland, C. I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly, 15, 635–650.
Herrero-Beaumont, E. (2022). Emerging Transparency Systems for News Governance to Protect Media Independence and Credibility in the Digital Infosphere. Communication Law and Policy, 27(3-4), 220-249. https://doi.org/10.1080/10811680.2022.2154071
Lawrence, R. G., Napoli, P. M. (eds.) (2023). News quality in the digital age. London: Routledge.
Lee, S., Gil De Zúñiga, H., & Munger, K. (2023). Antecedents and consequences of fake news exposure: a two-panel study on how news use and different indicators of fake news exposure affect media trust. Human Communication Research, hqad019. https://doi.org/10.1093/hcr/hqad019
Lee, Y. W., Strong, D.M., Kahn, B.K., & Wang, R.Y. (2002). AIMQ: a methodology for information quality assessment. Information & Management, 40, 133–146. https://doi.org/10.1016/S0378-7206(02)00043-5
Luo, M., Hancock, J. T., & Markowitz, D. M. (2022). Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social Media: Effects of Truth-Bias and Endorsement Cues. Communication Research, 49(2), 171–195. https://doi.org/10.1177/0093650220921321
Lyons, B. A., Montgomery, J. M., Guess, A. M., Nyhan, B., & Reifler, J. (2021). Overconfidence in news judgments is associated with false news susceptibility. Proceedings of the National Academy of Sciences, 118(23), e2019527118.https://doi.org/10.1073/pnas.2019527118
Maertens, R., Roozenbeek, J., Basol, M., & Van Der Linden, S. (2021). Long-term effectiveness of inoculation against misinformation: Three longitudinal experiments. Journal of Experimental Psychology: Applied, 27(1), 1–16. https://doi.org/10.1037/xap0000315
Mcquail, D. (1992). Media Performance: Mass Communication in the Public Interest. London: Sage.
Metzger, M. J. Et Al. (2003). Credibility for the 21st Century: Integrating Perspectives on Source, Message, and Media Credibility in the Contemporary Media Environment. Annals of the International Communication Association, 27(1), 293-335. https://doi.org/10.1080/23808985.2003.11679029
Metzger, M. J., & Flanagin, A. J. (2015). Psychological approaches to credibility assessment online. In S. S. Sundar (Ed.), The handbook of the psychology of communication technology (pp. 445–466). West Sussex, UK: John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118426456.ch20
Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010). Social and heuristic approaches to credibility evaluation online. Journal of Communication, 60(3), 413–439. https://doi.org/10.1111/j.1460-2466.2010.01488.x
Mitchell, A., Jurkowitz, M., Oliphant, J. B., & Shearer, E. (2020, July 30). Americans Who Mainly Get Their News on Social Media Are Less Engaged, Less Knowledgeable. Pew Research Center. https://pewrsr.ch/437CXY1
Nyhan, B. Et Al. (2020). Taking fact‑checks literally but not seriously? The effects of journalistic fact‑checking on Factual Beliefs and Candidate Favorability. Political Behavior 4, pp. 939–960. https://doi.org/10.1007/s11109-019-09528-x
Osmundsen, M. Et Al. (2021). Partisan Polarization Is the Primary Psychological Motivation behind Political Fake News Sharing on Twitter. American Political Science Review, 115(3), 999–1015. https://doi.org/10.1017/S0003055421000290
Palau-Sampio, D., Carratalá, A., Tarullo, R., & Crisóstomo, P. (2022). Quality recognition as a prescriber against disinformation. Comunicar, 72, 59-70. https://doi.org/10.3916/C72-2022-05
Park, A. Et Al. (2020). Understanding Fake News: A Bibliographic Perspective. Defence Strategic Communications, 8. https://doi.org/10.30966/2018.RIGA.8.4.
Pennycook, G., Epstein, Z. Mosleh, M., Arechar, A. A., Eckles, D., & Rand, D. G. (2021). Shifting attention to accuracy can reduce misinformation online. Nature, 592, 590–595. https://doi.org/10.1038/s41586-021-03344-2
Pennycook, G., Mcphetres, J., Zhang, Y., Lu, J. G., Rand, D. 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
Petersen M. B. Osmudsen, M., & Arceneaux, K. (2023). The “Need for Chaos” and Motivations to Share Hostile Political Rumors. American Political Science Review, 117(4), 1486–1505. https://doi.org/10.1017/S0003055422001447
Righetti, N. (2021). Four years of fake news: A quantitative analysis of the scientific literature. First Monday, 26(6-7). https://doi.org/10.5210/fm.v26i7.11645
Roozenbeek, J. & Van Der Linden, S. (2019). Fake news game confers psychological resistance against online misinformation. Palgrave Communication, 5, 65. https://doi.org/10.1057/s41599-019-0279-9
Roberts, C. (2010). Correlations among variables in message and messenger credibility scales. American Behavioral Scientist, 54(1), 43–56. https://doi.org/10.1177/0002764210376310
Sádaba, C. & Salaverría, R. (2023). Combatir la desinformación con alfabetización mediática: análisis de las tendencias en la Unión Europea. Revista Latina de Comunicación Social, 81, 17-33. https://www.doi.org/10.4185/RLCS-2023-1552
Serrano-Puche, J. (2017), Credibilidad y confianza en los medios de comunicación: un panorama de la situación en España. En González, M. y Valderrama, M. (coords.) (2017). Discursos comunicativos persuasivos hoy (pp. 427-438). Madrid: Tecnos.
Shearer, E. & Mitchell, A. (2021, January 12). News use across social media platforms in 2020. Pew Research Center. https://t.ly/S6tSd
Shin, I., Wang L., & Lu, Y. (2022). Twitter and Endorsed (Fake) News: The Influence of Endorsement by Strong Ties, Celebrities, and a User Majority on Credibility of Fake News During the COVID-19 Pandemic. International Journal of Communication, 16, 2573–2595.
Shu, K. Et Al. (2017). Fake news detection on social media: A data mining perspective. ACM SIGKDD Explorations Newsletter 19, 24–36. https://doi.org/10.1145/3137597.3137600
Sterrett, D. Et Al. (2019). Who Shared It?: Deciding What News to Trust on Social Media. Digital Journalism, 7(6), 783-801. https://doi.org/10.1080/21670811.2019.1623702
Tandoc Et Al. (2018). Audiences’ acts of authentication in the age of fake news: A conceptual framework. New Media & Society, 20(8) 2745–2763.
Trillo-Domínguez, M., Salaverría, R., Codina, L., & De-Moya-Anegón, F. (2023). SCImago Media Rankings (SMR): situation and evolution of the digital reputation of the media worldwide. Profesional De La información, 32(5).
Trillo-Dominguez Et Al. (2024). Digital reputation indicator: A webometric approach for a global ranking of digital media, Journalism. https://doi.org/10.1177/14648849241237647
Truong, B.T., Allen, O.M. & Menczer, F. (2024). Account credibility inference based on news-sharing networks. EPJ Data Sci. 13(10). https://doi.org/10.1140/epjds/s13688-024-00450-9
Viviani, M., & Pasi, G. (2017). Credibility in social media: opinions, news, and health information—a survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 7. https://doi.org/10.1002/widm.1209
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359, 1146–1151. https://www.science.org/doi/10.1126/science.aap9559
Zhou, X. & Zafarani, R. (2020). A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities. ACM Computing Surveys, 53(5). https://doi.org/10.1145/3395046
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