Intelligenza Artificiale e Fake News: Analisi Linguistica, Gender Bias ed Etica nella comunicazione digitale dei media
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Riassunto: Lo scenario digitale rappresenta uno spazio privilegiato per la manipolazione e la conseguente diffusione di contenuti falsi o mistificati, spesso amplificando bias di genere e consolidando stereotipi attraverso un linguaggio improprio. Inoltre, l’impiego di strumenti di intelligenza artificiale (IA) per la generazione, moderazione e distribuzione di contenuti sembra non solo riprodurre, ma spesso rafforzare tali bias, contribuendo in tal modo alla costruzione di narrazioni che perpetuano stereotipi e disinformazione.
Adottando un approccio misto, il presente studio combina analisi linguistica e cross-linguistica con prospettive tecnico-teoriche sulla comunicazione digitale ed etica dell’IA, inserendosi nel dibattito contemporaneo sulla capacità delle tecnologie generative di amplificare bias e stereotipi. In tale cornice, la ricerca mira a esplorare come la dimensione quantitativa – relativa alla frequenza e distribuzione dei termini marcati – e quella qualitativa – legata alle dinamiche discorsive e semantiche – possano integrarsi per restituire un quadro più completo dei processi di mistificazione e rappresentazione di genere nei media digitali, partendo da un corpus di 12 articoli che si concentra sui due temi più ricercati in Regno Unito e Stati Uniti, selezionati tramite Google Trends 2024. Il corpus comprende articoli del The New York Times, The Washington Post, The Guardian e Daily Mirror, testate in cui è stato possibile riscontrare un utilizzo dichiarato di tecnologie di intelligenza artificiale. I risultati rivelano che, pur con differenze fra testate, il linguaggio mediato da algoritmi non è neutro e l’uso di espressioni contrastive o la scelta di forme passive tendono a rafforzare dinamiche discriminatorie.
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Citas
AMERICAN PSYCHOLOGICAL ASSOCIATION, Publication manual of the American Psychological Association. Washington, DC: APA, 2020 (7ª ed.).
AL-ASADI, M. A.; TASDEMIR, E., “Artificial intelligence and gender bias in social media content moderation”. In: Journal of Digital Ethics, 15, 3, 2022, pp. 45-62. Accessed at: https://doi.org/10.1007/s11948-022-00389-7
ALLCOTT, H.; GENTZKOW, M., “Social media and fake news in the 2016 election”. In: Journal of Economic Perspectives, 31, 2, 2017, pp. 211-236. Accessed at: https://doi.org/10.1257/jep.31.2.211 DOI: https://doi.org/10.1257/jep.31.2.211
BAKER, P., Using corpora in discourse analysis. London: Continuum, 2006. DOI: https://doi.org/10.5040/9781350933996
BENKLER, Y.; FARIS, R.; ROBERTS, H., Network propaganda: Manipulation, disinformation, and radicalization in American politics. Oxford: Oxford University Press, 2018. Accessed at:
https://doi.org/10.1093/oso/9780190923624.001.0001 DOI: https://doi.org/10.1093/oso/9780190923624.001.0001
BIJU, A.; GAYATHRI, E. S., “Gender bias amplification in AI-driven content moderation systems”. In: AI & Society, 38, 4, 2023, pp. 1567-1582. Accessed at: https://doi.org/10.1007/s00146-022-01478-3
BOLUKBASI, T.; CHANG, K. W.; ZOU, J. Y.; SALIGRAMA, V.; KALAI, A. T., “Man is to computer programmer as woman is to homemaker? Debiasing word embeddings”. In: Advances in Neural Information Processing Systems, 29, 2016, pp. 4349-4357. Accessed at: https://doi.org/10.5555/3157382.3157584
BRIK, S., The Construction of Narratives Around Postcolonial Algerian Identity: Examining Imane Khelif Journey During Paris Olympic Games 2024. Tesi di dottorato, University of Martyr Sheikh Larbi Tebessi Tebessa, 2025. Accessed at: http//localhost:8080/jspui/handle/123456789/12814
CALISKAN, A.; BRYSON, J. J.; NARAYANAN, A., “Semantics derived automatically from language corpora contain human-like biases”. In: Science, 356, 6334, 2017, pp. 183-186. Accessed at:
https://doi.org/10.1126/science.aal4230 DOI: https://doi.org/10.1126/science.aal4230
CHESNEY, B.; CITRON, D., “Deep fakes: A looming challenge for privacy, democracy, and national security”. In: California Law Review, 107, 6, 2019, pp. 1753-1820. Accessed at: https://doi.org/10.15779/Z38RV0D15J DOI: https://doi.org/10.2139/ssrn.3213954
EHRLICH, S., Representing rape: Language and sexual consent. London: Routledge, 2001.
ESSER, F.; NEUBERGER, C., “Realizing the democratic functions of journalism in the digital age: New alliances and a return to old values”. In: Journalism, 20, 1, 2018, pp. 194-197. Accessed at:
https://doi.org/10.1177/1464884918807067 DOI: https://doi.org/10.1177/1464884918807067
EUROPEAN COMMISSION, The Digital Markets Act, 2024. Accessed at: https://digital-markets-act.ec.europa.eu/index_en
——, The Digital Services Act, 2024. Accessed at:
EUROPEAN UNION, Regulation 2024/1689 of the European Parliament and of the Council, 2024. Accessed at:
https://eur-lex.europa.eu/eli/reg/2024/1689/oj
EUROPEAN INSTITUTE FOR GENDER EQUALITY, Gender-sensitive communication. Luxembourg: Publications Office of the European Union, 2016.
FAIRCLOUGH, N., Critical discourse analysis: The critical study of language. London: Longman, 1995.
FLORIDI, L.; COWLS, J.; BELTRAMETTI, M.; CHATILA, R.; CHAZERAND, P.; DIGNUM, V.; VAYENA, E., “AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations”. In: Minds and Machines, 30, 4, 2020, pp. 689-707. Accessed at: https://doi.org/10.1007/s11023-018-9482-5 DOI: https://doi.org/10.1007/s11023-018-9482-5
FREELON, D.; BOSSETTA, M.; WELLS, C.; LUKITO, J.; XIA, Y.; ADAMS, K., “Black trolls’ matter: Racial and ideological asymmetries in social media disinformation”. In: Social Science Computer Review, 38, 5, 2020, pp. 621-637. Accessed at: https://doi.org/10.1177/0894439319864157
GAUCHER, D.; FRIESEN, J.; KAY, A. C., “Evidence that gendered wording in job advertisements exists and sustains gender inequality”. In: Journal of Personality and Social Psychology, 101, 1, 2011, pp. 109-128, Accessed at: https://doi.org/10.1037/a0022530 DOI: https://doi.org/10.1037/a0022530
GUESS, A.; NAGLER, J.; TUCKER, J., “Less than you think: Prevalence and predictors of fake news dissemination on Facebook”. In: Science Advances, 5, 1, 2019. Accessed at:
https://doi.org/10.1126/sciadv.aau4586 DOI: https://doi.org/10.1126/sciadv.aau4586
GUTIÉRREZ-CUESTA, J. J.; VINK LARRUSKAIN, N.; CANTALAPIEDRA GONZÁLEZ, M. J., “La precariedad, obstáculo para la calidad periodística: estudio de caso”. In: Doxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales, 35, 2022, pp. 113-125. Accessed at: https://doi.org/10.31921/doxacom.n35a1588 DOI: https://doi.org/10.31921/doxacom.n35a1588
HOWARD, P. N.; BRADSHAW, S., “Junk news and bots during the U.S. election: What were Michigan voters sharing over Twitter?”. In: Computational Propaganda Research Project Working Paper, 2017. Accessed at: https://doi.org/10.2139/ssrn.3088901
ILLESCAS REINOSO, D.; PALACIOS, A. G.; ORTIZ VIZUETE, F., “La inteligencia artificial en el periodismo: herramientas y aplicaciones”. In: LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 6, 1, 2025, pp. 2354-2375. Accessed at: https://doi.org/10.56712/latam.v6i1.3503 DOI: https://doi.org/10.56712/latam.v6i1.3503
LAZER, D. M.; BAUM, M. A.; BENKLER, Y.; BERINSKY, A. J.; GREENHILL, K. M.; MENCZER, F.; ZITTRAIN, J. L., “The science of fake news”. In: Science, 359, 6380, 2018, pp. 1094-1096, Accessed at:
https://doi.org/10.1126/science.aao2998 DOI: https://doi.org/10.1126/science.aao2998
LOPEZ, P., “Bias does not equal bias: A socio-technical typology of bias in data-based algorithmic systems”. In: Policy & Internet, 2021. Department of Legal Philosophy, University of Vienna. Accessed at:
https://doi.org/10.14763/2021.4.1598 DOI: https://doi.org/10.14763/2021.4.1598
MARCHETTI, R., “Gender representation in AI-generated media content: A critical analysis”. In: Digital Media Studies Quarterly, 22, 4, 2019, pp. 78-95. Accessed at: https://doi.org/10.1080/13691183.2019.1623456
MARWICK, A.; LEWIS, R., Media manipulation and disinformation online. Data & Society Research Institute, 2017. Accessed at: DOI: https://doi.org/10.69985/QPAF6919
https://doi.org/10.2139/ssrn.2958111 DOI: https://doi.org/10.2139/ssrn.2958111
MINUCCI, S.; THOMPSON, K.; RODRIGUEZ, L., “Artificial intelligence and the perpetuation of gender stereotypes in digital media”. In: Computers in Human Behavior, 128, 2022, pp. 107-115. Accessed at:
https://doi.org/10.1016/j.chb.2021.107115
NAKOV, P.; DA SAN MARTINO, G., “Fake News, Disinformation, Propaganda, and Media Bias”. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM '21). New York: Association for Computing Machinery, 2021, pp. 4862-4865. Accessed at: https://doi.org/10.1145/3459637.3482026 DOI: https://doi.org/10.1145/3459637.3482026
NAZAR, R.; BUSTAM, M. R., “Gender bias in artificial intelligence systems: Implications for digital communication”. In: International Journal of Human-Computer Studies, 143, 2020, pp. 102-118. Accessed at:
https://doi.org/10.1016/j.ijhcs.2020.102567
NOBLE, S. U., Algorithms of oppression: How search engines reinforce racism. New York: NYU Press, 2018. Accessed at: https://doi.org/10.2307/j.ctt1pwt9w5 DOI: https://doi.org/10.2307/j.ctt1pwt9w5
PARCU, P. L., “New digital threats to media pluralism in the information age”. In: Competition and Regulation in Network Industries, 21, 2, 2019, pp. 91-109. Accessed at: https://doi.org/10.1177/1783591719886101 DOI: https://doi.org/10.1177/1783591719886101
PÉREZ-ROSAS, V.; KLEINBERG, B.; LEFEVRE, A.; MIHALCEA, R., “Automatic detection of fake news”. In: Proceedings of the 27th International Conference on Computational Linguistics, 2018, pp. 3391-3401. Accessed at: https://doi.org/10.18653/v1/C18-1287
ROTH, Y.; PICKLES, N., “Updating our approach to misleading information”. In: Twitter Blog, 2020. Accessed at: https://doi.org/10.48550/arXiv.2011.14751
SHOR, E.; VAN DE RIJT, A.; FOTOUHI, B., “A large-scale test of gender bias in the media”. In: Sociological Science, 6, 2019, pp. 526-550. Accessed at: https://doi.org/10.15195/v6.a20 DOI: https://doi.org/10.15195/v6.a20
SHU, K.; SLIVA, A.; WANG, S.; TANG, J.; LIU, H., “Fake news detection on social media: A data mining perspective”. In: ACM SIGKDD Explorations Newsletter, 19, 1, 2017, pp. 22-36. Accessed at:
https://doi.org/10.1145/3137597.3137600 DOI: https://doi.org/10.1145/3137597.3137600
STAHLBERG, D.; BRAUN, F.; IRMEN, L.; SCZESNY, S., “Representation of the sexes in language”. In: Social Communication, Psychology Press, 2007, pp. 163-187.
STUBBS, M., Words and phrases: Corpus studies of lexical semantics. Oxford: Blackwell, 2001.
SUNSTEIN, C. R., #Republic: Divided democracy in the age of social media. Princeton: Princeton University Press, 2017. Accessed at:
https://doi.org/10.1515/9781400884711 DOI: https://doi.org/10.1515/9781400884711
TANDOC JR, E. C.; LIM, Z. W.; LING, R., “Defining ‘fake news’. A typology of scholarly definitions”. In: Digital Journalism, 6, 2, 2018, pp. 137-153. Accessed at: https://doi.org/10.1080/21670811.2017.1360143 DOI: https://doi.org/10.1080/21670811.2017.1360143
TUCKER, J. A.; GUESS, A.; BARBERA, P.; VACCARI, C.; SIEGEL, A.; SANOVICH, S.; NYHAN, B., “Social media, political polarization, and political disinformation: A review of the scientific literature”. In: Political polarization, and political disinformation, 2018, pp. 1-95. Accessed at:
https://doi.org/10.2139/ssrn.3144139 DOI: https://doi.org/10.2139/ssrn.3144139
UNESCO, Guidelines on gender-neutral language in English. Paris: United Nations Educational, Scientific and Cultural Organization, 2019.
VERMA, D., “Impact of Artificial Intelligence on Journalism: A Comprehensive Review of AI in Journalism”. In: Journal of Communication and Management, 3, 2, 2024, pp. 150-156. Accessed at: https://doi.org/10.58966/JCM20243212 DOI: https://doi.org/10.58966/JCM20243212
VOSOUGHI, S.; ROY, D.; ARAL, S., “The spread of true and false news online”. In: Science, 359, 6380, 2018, pp. 1146-1151. Accessed at:
https://doi.org/10.1126/science.aap9559 DOI: https://doi.org/10.1126/science.aap9559
WEBER-WULFF, D.; ANOHINA-NAUMECA, A.; BJELOBABA, S.; FOLTÝNEK, T.; GUERRERO-DIB, J.; POPOOLA, O.; SIGUT, P.; WADDINGTON, L., “Testing of detection tools for AI-generated text”. In: International Journal for Educational Integrity, 19, 2023, pp. 1-39. Accessed at: https://doi.org/10.1007/s40979-023-00146-z DOI: https://doi.org/10.1007/s40979-023-00146-z
WEIDINGER, L.; UESATO, J.; RAO, R.; GRANT, E.; STANLEY, K.; BALDWIN, R.; COX, S.; WHITE, A.; MILANO, S.; STEINHARDT, J.; CHRISTIANO, P., “Ethical and social risks of harm from language models”. In: arXiv preprint, 2021. Accessed at: https://arxiv.org/abs/2112.04359