Impact of Artificial Intelligence on RTVE: Verification of fake videos and Deep fakes, content generation, and new professional profiles
- Marta Sánchez-Esparza 1
- Santa Palella-Stracuzzi 2
- Ángel Fernández-Fernández 1
- 1 Univ. Internacional de la Empresa
- 2 EAE Business School
ISSN: 2386-7876
Año de publicación: 2024
Volumen: 37
Número: 2
Páginas: 261-277
Tipo: Artículo
Otras publicaciones en: Comunicación y sociedad = Communication & Society
Resumen
The emergence of technologies based on artificial intelligence is accelerating the digital transformation of media organizations, directly impacting work processes, the relationship with audiences, the generation of content, and the emergence of new professional profiles. It is also, and notably, transforming the processes of detecting and verifying false content. This descriptive-exploratory research analyzes the impact that the use of AI is having on the transformation of the public entity Radiotelevisión Española (RTVE). Through a literature review and interviews with RTVE executives and experts, it reveals the transformative impact of AI on the corporation, highlighting its use to generate new content and verify the authenticity of fake and deepfake videos. In this area, RTVE combines traditional methodologies with others based on AI and leads the development of several tools in collaboration with several universities. These tools have already yielded satisfactory results in detecting these misleading materials, reinforcing RTVE’s role as a guarantor of the veracity of information and increasing citizens’ trust in its content. Similarly, AI is reinforcing RTVE’s identity as a public service by facilitating the generation of automated content, which guarantees access to information in depopulated territories, and others that connect new generations with cultural content. The arrival of artificial intelligence will also generate in a short time a transformation of profiles and professional roles that adapt to this new reality.
Referencias bibliográficas
- Al-Khazraji, S. H., Saleh, H. H., Khalid, A. I. & Mishkhal, I. A. (2023). Impact of Deepfake Technology on Social Media: Detection, Misinformation and Societal Implications. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 23, 429-441.
- Aramburu, L. G. López, I., & López, A. (2023). Artificial intelligence at RTVE at the service of empty Spain. News Coverage Project with Automated Writing for the 2023 Municipal Elections, Revista Latina de Comunicación Social, 81, 1–16. https://www.doi.org/10.4185/RLCS-2023-1550
- Bañuelos, J. (2022). Evolution of Deepfake: Semantic Fields and Discursive Genres (2017-2021). ICON Magazine 14. Scientific Journal of Communication and Emerging Technologies, 20(1). https://www.doi.org/10.7195 /ri14.v20i1.1773
- Canavilhas, J. (2022). Inteligencia artificial aplicada al periodismo: estudio de caso del proyecto “A European Perspective” (UER). Revista Latina De Comunicación Social, 80, 1-13. https://www.doi.org/10.4185/RLCS-2022-1534
- Cerdán, V. & Padilla, G. (2019). History of audiovisual fake: deepfake and women in a falsified and perverse imaginary. History and Social Communication, 24(2). https://www.doi.org/10.5209/hics.66293
- Fernández, A. (2017). Hybrid Stories: The Role of Narrativity in the Visualization of Interactive Information. Doctoral Thesis, Universidad Europea. Abacus Repository. Retrieved from https://193.147.239.238/handle/11268/6981
- Fieiras-Ceide, C., Vaz-Álvarez, M. & Túñez-López, M. (2022). Artificial intelligence strategies in European public broadcasters: Uses, forecasts and future challenges. Profesional De La Información, 31(5). https://www.doi.org/10.3145/epi.2022.sep.18
- Flew, T., Spurgeon, C., Daniel, A. & Swift, A. (2012). The promise of computational journalism. Journalism Practice, 6(2), 157–171. https://www.doi.org/10.1080/17512786.2011.616655
- García-Caballero, S. (2020). New professional profiles for the journalistic market. Mediterranean Journal of Communication, 11(1), 287-289. https://www.doi.org/10.14198/MEDCOM2020.11.1.15
- Gutiérrez, J. D., & Rojas, M. L. F. (2023). Presentation of issue: Challenges of data governance and artificial intelligence in the Ibero-American public sector. GIGAPP Studies Working Papers, 10(267-272), 329-334.
- Haseena, S., Saroja, S. & Nivetha, A. (2023). TVN: Detect Deepfakes Images using Texture Variation Network. Inteligencia artificial, 26(72), 1-14 https://www.doi.org/10.4114/intartif.vol26iss72pp1-14
- Hinings, B., Gegenhuber, T. & Greenwood, R. (2018). Digital innovation and transformation: An institutional perspective. Information and Organization, 28, 52-61. https://www.doi.org/10.1016/j. infoandorg.2018.02.004
- Kalin, S., Bhawna, P. & Dhall, A. (2022). Visual Representations of Physiological Signals for Fake Video Detection. arXiv.org, https://www.doi.org/10.48550/arXiv.2207.08380
- Karnouskos, S. (2020). Artificial intelligence in digital media: The era of deepfakes in IEEE. Transactions on Technology and Society, 1(3), 138-147. https://www.doi.org/10.1109/TTS.2020.3001312
- Latar, N. L. (2018). Robot Journalism: Can Human Journalism Survive? World Scientific Publishing.
- Levy, S. (2012). The rise of the robot reporter. Wired, 20(5), 132-139.
- Manfredi, J. L. & Ufarte, M. J. (2020). Artificial intelligence and journalism: a tool against disinformation. Revista CIDOB d’Afers Internacionals, 124, 49–72. Retrieved from https://www.jstor.org/stable/26975708
- Matas, C. R. (2018). The impact of artificial intelligence and robotics on public employment. GIGAPP Studies Working Papers, 5(98-110), 401-421.
- Matthews, T. (2023). Deepfakes, Fake Barns, and Knowledge from Videos. Synthese 201, 41. https://www.doi.org/10.1007/s11229-022-04033-x
- Mergel, I., Edelmann, N. & Haug, N. (. (2019). Defining digital transformation: Results from expert interviews. Government Information Quarterly, 36(4). https://www.doi.org/10.1016/j. giq.2019.06.002
- Monteiro Pessoa, R. (2019). Labor Law 4.0: Artificial Intelligence and Professional Issues in the Brazilian Legal Profession. Chilean Journal of Law and Technology, 8(1), 167-183.
- Nandini, S., Akshay, B. G., Brunda, A. N., Chandana, A. M. & Divyashree, S. R. (2022). Advanced Reverse Image Search and Profile Creation using Machine Learning. International Journal of Advanced Research in Science, Communication and Technology, 2(9). https://www.doi.org/10.48175/ijarsct-5417
- Newman, N., Fletcher, R., Kalogeropoulos, A. & Nielsen, R-K. (2019). Reuters Institute Digital News Report 2019. Reuters Institute for the Study of Journalism.
- Palella, S. & Martins, F. (2017). Quantitative research methodology. Caracas: FEDUPEL
- Papadimitriou, A. (2016). The Future of Communication: Artificial Intelligence and Social Networks. Media & Communication Studies. Mälmo University. Retrieved from http://bit.ly/379xa7O
- Porlezza, C. (2023). Promoting responsible AI: A European perspective on the governance of artificial intelligence in media and journalism. Communications, 48(3), 370-394. https://www.doi.org/10.1515/commun-2022-0091
- RTVE (2023). New Profiles and Professional Competencies in Communication at RTVE. RTVE.
- Sánchez Gonzales, H. (2022). Digital transformation and audience. Trends and use of artificial intelligence in fact-checking media. Scopes: International Journal of Communication, 56, 9-20.
- Sánchez-Esparza, M., Palella, S. & Fernández Fernández, A. (2024). Impact of the emergence of artificial intelligence (AI) on new professional identities in the media. In Organizational Intelligence, Strategic Communication and Influence in the Post-Digital Society. Dykinson.
- Sančanin, B. & Penjišević, A. (2022). Use of artificial intelligence for the generation of media content, Social Informatics Journal, 1(1), 1-7. https://www.doi.org/10.58898/sij.v1i1.01-07
- Shilpa, B., Anush, K., Hemanth, B. & Sathwik, A. M. (2023). Unmasking Deepfakes: Using Resnext and LSTM to Detect Deepfake Videos. International Journal of Advanced Research in Science, Communication and Technology, 3(1). https://www.doi.org/10.48175/ijarsct-8639
- Sohrawardi, S., Chintha, A., Thai, B., Seng, S., Hickerson, A., Ptucha, R. & Wright, M. (2019). Poster: Towards Robust Detection of Open-World Deepfakes. Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security. https://www.doi.org/10.1145/3319535.3363269
- Túñez-López, J. M., Fieiras-Ceide, C. & Vaz-Álvarez, M. (2021). Impact of Artificial Intelligence on Journalism: transformations in the company, products, contents and professional profile. Communication & Society, 34(1), 177-193. https://www.doi.org/10.15581/003.34.1.177-193
- Villón Suárez, E. A. (2022). Impacto de la Inteligencia Artificial en la selección de personal para Pymes. Bachelor’s thesis. Universidad Politécnica Salesiana del Ecuador.
- Xavier, P. R. S. (2022). The Challenge of the Regulation of Artificial Intelligence in the Judicial System and its Environment. Revista Jurídica Portucalense, 2, 144-157.