Educación contra el prejuicio: caso aplicado al Periodismo
Resumen
Palabras clave
Referencias
Allport, G. W. (1954). The Nature of Prejudice. Cambridge: Addison-Wesley.
Arancibia, H. R. (2014). Diseño Psicométrico y Validación de la Escala de Prejuicio RIVEC basada en los presupuestos de Pettigrew & Meertens. [Doctoral dissertation, Universidad Autónoma de Madrid]. Repositorio de datos de investigación UAM. http://hdl.handle.net/10486/663949
Ardèvol-Abreu, A., & Gil de Zúñiga, H. (2017). Effects of editorial media bias perception and media trust on the use of traditional, citizen, and social media news. Journalism & mass communication quarterly, 94(3), 703-724. http://dx.doi.org/10.1177/1077699016654684
Barnidge, M., Gunther, A. C., Kim, J., Hong, Y., Perryman, M., Tay, S. K., & Knisely, S. (2020). Politically motivated selective exposure and perceived media bias. Communication Research, 47(1), 82-103. http://dx.doi.org/10.1177/0093650217713066
Baltaci, A. (2017). Relations between Prejudice, Cultural Intelligence and Level of Entrepreneurship: A Study of School Principals. International Electronic Journal of Elementary Education, 9(3), 645-666.
Bermello, G. L. V., & Valle, W. B. L. (2020). Verificación de hechos: Falibilismo de Popper y la razonabilidad de las masas. ComHumanitas: revista científica de comunicación, 11(3), 195-209.
Buckingham, D. (2019). Teaching media in a ‘post-truth’age: fake news, media bias and the challenge for media/digital literacy education. Cultura y Educación, 31(2), 213-231. https://doi.org/10.1080/11356405.2019.1603814
Carlson, M. (2018). Facebook in the news: Social media, journalism, and public responsibility following the 2016 trending topics controversy. Digital journalism, 6(1), 4-20. http://dx.doi.org/10.1080/21670811.2017.1298044
Casals, M. J. (2005). Periodismo y sentido de la realidad. Madrid: Fragua.
Del Molino, S. (2013). La hora violeta. Barcelona: Literatura Random House.
Diedrichs, P. C., & Puhl, R. (2017). Weight bias: Prejudice and discrimination toward overweight and obese people. En Sibley, C. G. & Barlow, F. K. (Eds.), The Cambridge handbook of the psychology of prejudice (pp. 392–412). Cambridge University Press. https://doi.org/10.1017/9781316161579.017
Dovidio, J. F, Hewstone, M., Glick, P. & Esses, V. M. (2010). Prejudice, Stereotyping and Discrimination: Theoretical and Empirical Overview. En Dovidio, J. F., Hewstone, M., Glick, P. & Esses, V. M. (Eds.), Handbook of Prejudice, Stereotyping, and Discrimination (pp. 3-28). Londres: Sage.
Fahy, D. (2018). Objectivity as trained judgment: How environmental reporters pioneered journalism for a “post-truth” era. Environmental Communication, 12(7), 855-861. http://dx.doi.org/10.1080/17524032.2018.1495093
Fiske, S. (1998). Stereotyping, prejudice, and discrimination. En D. Gilbert, D., Fiske, S. & Lindzey, G. (Eds.), Handbook of Social Psychology (vol. 2, pp. 357-412). The McGraw-Hill Companies.
Godler, Y., & Reich, Z. (2017). Journalistic evidence: Cross-verification as a constituent of mediated knowledge. Journalism, 18(5), 558-574. http://dx.doi.org/10.1177/1464884915620268
Gomes, M. R. (2018). Disputes between Discourses: Journalism and Violence Against Women. Brazilian Journalism Research, 14(3), 882. http://dx.doi.org/10.25200/BJR.v14n3.2018.1033
Hamborg, F., Donnay, K., & Gipp, B. (2019). Automated identification of media bias in news articles: an interdisciplinary literature review. International Journal on Digital Libraries, 20(4), 391-415. http://dx.doi.org/10.1007/s00799-018-0261-y
Jamali, H. (2020). The influence of big data on journalism and other related sectors. International Journal of Modern Engineering Technologies, 2(1). https://bit.ly/31igjOL
Leppänen, L., Tuulonen, H., & Sirén-Heikel, S. (2020). Automated
Journalism as a Source of and a Diagnostic Device for Bias in Reporting. Media and Communication. http://dx.doi.org/10.17645/mac.v8i3.3022
Kovach, B. & Rosenstiel, T. (2012). Los elementos del periodismo. Barcelona: Penguin Random House.
Ling, R. (2020). Confirmation bias in the era of mobile news consumption: the social and psychological dimensions. Digital Journalism, 8(5), 596-604. http://dx.doi.org/10.1080/21670811.2020.1766987
Madva, A., & Brownstein, M. (2018). Stereotypes, prejudice, and the taxonomy of the implicit social mind1. Noûs, 52(3), 611-644. http://dx.doi.org/10.1111/nous.12182
Maina, I. W., Belton, T. D., Ginzberg, S., Singh, A., & Johnson, T. J. (2018). A decade of studying implicit racial/ethnic bias in healthcare providers using the implicit association test. Social Science & Medicine, 199, 219-229. http://dx.doi.org/10.1016/j.socscimed.2017.05.009
Mayoral, J. (2018). Periodismo herido busca cicatriz. Madrid: Plaza y Valdés.
Meeusen, C., & Jacobs, L. (2017). Television news content of minority groups as an intergroup context indicator of differences between target-specific prejudices. Mass Communication and Society, 20(2), 213-240. http://dx.doi.org/10.1080/15205436.2016.1233438
McNair, B. (2017). After objectivity? Schudson’s sociology of journalism in the era of post-factuality. Journalism Studies, 18(10), 1318-1333. http://dx.doi.org/10.1080/1461670X.2017.1347893
Novoa T., Otero A., Vázquez P. y Novas C. (2018). Communicating About Migrations, Dismantling Prejudices: An Experience of Social Journalism Linking Galicia and Morocco. En De Palma R., Pérez-Caramés A. (Eds), Galician Migrations: A Case Study of Emerging Super-diversity. Migration, Minorities and Modernity (vol. 3). Cham: Springer. https://doi.org/10.1007/978-3-319-66305-0_22
Parratt, S. (2008). Géneros periodísticos en prensa. Quito: CIESPAL.
Price, S. (Ed.). (2019). Journalism, Power and Investigation: Global and Activist Perspectives. Routledge.
Rodríguez Pérez, C. (2020). A reflection on the epistemology of fact-checking journalism: challenges and dilemmas. Revista de Comunicación, 19(1), 243-258. http://dx.doi.org/10.26441/rc19.1-2020-a14.
Tandoc Jr, E. C., Jenkins, J., & Craft, S. (2019). Fake news as a critical incident in journalism. Journalism Practice, 13(6), 673-689. http://dx.doi.org/10.1080/17512786.2018.1562958
Tully, M., Vraga, E. K., & Smithson, A. B. (2020). News media literacy, perceptions of bias, and interpretation of news. Journalism, 21(2), 209-226. http://dx.doi.org/10.1177/1464884918805262
Usher, N., Holcomb, J., & Littman, J. (2018). Twitter makes it worse: Political journalists, gendered echo chambers, and the amplification of gender bias. The international journal of press/politics, 23(3), 324-344. http://dx.doi.org/10.1177/1940161218781254
Van Hiel, A., Onraet, E., Haesevoets, T., Roets, A., & Fontaine, J. R. (2019). The relationship between emotional abilities and right-wing and prejudiced attitudes. Emotion, 19(5), 917. http://dx.doi.org/10.1037/emo0000497
Voss, P., Bodner, E., & Rothermund, K. (2018). Ageism: The relationship between age stereotypes and age discrimination. En Ayalon, L. y Tesch-Römer C. (Eds.), Contemporary Perspectives on Ageism. International Perspectives on Aging (vol. 19, pp. 11-31). Cham: Springer. https://doi.org/10.1007/978-3-319-73820-8_2
Waddell, T. F. (2019). Can an algorithm reduce the perceived bias of news? Testing the effect of machine attribution on news readers’ evaluations of bias, anthropomorphism, and credibility. Journalism & Mass Communication Quarterly, 96(1), 82-100. http://dx.doi.org/10.1177/1077699018815891
DOI: https://doi.org/10.14198/OBETS2022.17.2.05
Copyright (c) 2022 Javier Mayoral Sánchez, Sonia Parratt Fernández, Montse Mera Fernández, Diego De Lorenzo Barrientos

Este obra está bajo una licencia de Creative Commons Reconocimiento 4.0 Internacional.