Încadrarea mediatică a inteligenței artificiale: o analiză a framingului din publicațiile online din România

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Published Jun 24, 2024
https://doi.org/10.33788/sr.22.1.9
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Vol. 22 No. 1 (2024)

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Lucian Artene
University of Bucharest
https://orcid.org/0009-0001-2168-4494

Abstract

Artificial intelligence (AI) is increasingly at the center of public discourse. Considering the current importance of AI technologies, but also the influence that the mass media has on users' adoption of new technologies and their regulation, the article aims to analyze the attitudes of online publications in Romania towards AI. By using content analysis, the attitudes and themes of 100 articles selected from the most visited Romanian news websites were examined. The results reveal a relatively balanced distribution of attitudes, with 37% of articles expressing negative sentiments, 35% positive and 28% neutral. The most frequently addressed topics include the impact on jobs, especially the negative one, regulations in the field and new functionalities. Compared to the publications in English, as can be seen from the specialized literature, the Romanian articles present a more balanced attitude towards technology, with less emphasis on the dangers. However, the analysis shows that current events can strongly influence public discourse, and approaches vary by publication. These findings suggest a diverse debate, subject to rapid changes, with important implications for AI communication, education and policy in the Romanian space.

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biography

Lucian Artene, University of Bucharest

Doctoral School, Faculty of Sociology and Social Work
Address: 9 Schitu Măgureanu Street, District 1, 010181, Bucharest, Romania.
E-mail: lucian.artene@s.unibuc.ro

How to Cite
Artene, L. (2024). Încadrarea mediatică a inteligenței artificiale: o analiză a framingului din publicațiile online din România. Sociologie Românească, 22(1), 162-182. https://doi.org/10.33788/sr.22.1.9

References

BRAT (2023). Rezultate trafic proprietăți online. https://www.brat.ro/sati/rezultate/type/site/c/all/period_type/month/period_filter/2023-7/category/all/editor/all.
Bunz, M., & Braghieri, M. (2021). The AI doctor will see you now: assessing the framing of AI in news coverage, AI & Society, 37, 9-22.
Buturoiu, R. (2016). Noua eră a vechilor media. O analiză experimentală a efectelor produse de cadrajele media. București: Comunicare.
Cappella, J.N., & Jamieson, K.H. (1997). Spiral of cynicism. The press and the public good. New York: Oxford University Press.
Chuan, C.H., Tsai, W.H.S., & Cho, S.Y. (2019). Framing Artificial Intelligence in American Newspapers, AIES '19: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, ianuarie 2019, New York. https://doi.org/10.1145/3306618.3314285.
D’Angelo, P., Lule, J., Neuman, W. R., Rodriguez, L., Dimitrova, D. V., & Carragee, K. M. (2019). Beyond Framing: A Forum for Framing Researchers, Journalism & Mass Communication Quarterly, 96(1), 12-30. https://doi.org/10.1177/1077699018825004.
De Vreese, C. (2005). News framing: Theory and typology, Information Design Journal, 13(1), 51-62.
Forbes (2023). Impactul Inteligenței Artificiale în presa online și social media din România. Disponibil la https://www.forbes.ro/impactul-inteligentei-artificiale-in-presa-online-si-social-media-din-romania-331112.
Gamson, W. A., & Modigliani, A. (1989). Media Discourse and Public Opinion on Nuclear Power: A Constructionist Approach, American Journal of Sociology, 95(1), 1-37.
Gitlin, T. (1980). The whole world is watching: Mass-media and the making and unmaking of the New Left. Berkeley, CA: University of California Press.
Graf-Vlachy, L., Buhtz, K., & Konig, A. (2018). Social influence in technology adoption: taking stock and moving forward, Management Review Quarterly, 68, 37-76.
Gunther, A.C. (1998). The Persuasive Press Inference: Effects of Mass-media on Perceived Public Opinion. Communication Research, 25(5), 486-504. https://doi.org/10.1177/009365098025005002.
Mao, Y., & Shi-Kupfer, K. (2023). Online public discourse on artificial intelligence and ethics in China: context, content, and implications, AI & Society, 38, 373-389.
McCombs, M., & Shaw, D. (1972). The Agenda-Setting Function of Mass-media, The Public Opinion Quarterly, 36(2), 176-187.
Nguyen, D., & Hekman, E. (2021). The news framing of artificial intelligence: a critical exploration of how media discourses make sense of automation, AI & Society. https://doi.org/10.1007/s00146-022-01511-1.
Oprea, M. (2022). SONDAJ | Cum se raportează românii la capitolul la care stăm cel mai prost: inovația și tehnologia. Disponibil la https://www.rfi.ro/social-147089-sondaj-cum-se-raporteaza-romanii-la-capitolul-la-care-stam-cel-mai-prost-inovatia-si.
Pentzold, Ch., & Fischer, Ch. (2017). Framing Big Data: The discursive construction of a radio cell query in Germany, Big Data and Society, 4(2), pp. 1-11.
Șandor, S.D. (2019). Metode și tehnici de cercetare în științele sociale, Universitatea Babeș-Bolyai, Cluj-Napoca.
Zhang, B., Dafoe, A. (2019). Artificial Intelligence: American Attitudes and Trends. Oxford: Future of Humanity Institute, University of Oxford.