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Mallapaty, S. (2024). Can Google Scholar survive the AI revolution? Nature. https://doi.org/10.1038/d41586-024-03746-y

OpenAlex, a big step towards Open Science? (2024, November 13). https://www.uu.nl/en/background/openalex-a-big-step-towards-open-science

Culbert, J., Hobert, A., Jahn, N., Haupka, N., Schmidt, M., Donner, P., & Mayr, P. (2024). Reference Coverage Analysis of OpenAlex compared to Web of Science and Scopus (No. arXiv:2401.16359). arXiv. https://doi.org/10.48550/arXiv.2401.16359

Borrego, Á., & Anglada, L. (2024). The costs of open access publication: a case study at Catalan universities. LIBER Quarterly: The Journal of the Association of European Research Libraries, 34(1), 1–20. https://doi.org/10.53377/lq.19069

REBIUN. (2024). Inteligencia artificial en bibliotecas universitarias españolas. https://repositoriorebiun.org/handle/20.500.11967/1419

Monteagudo-Haro, P., & Prieto-Gutierrez, J. J. (2024). Datos abiertos de investigación en repositorios universitarios españoles. Revista Española de Documentación Científica, 47(3), e397–e397. https://doi.org/10.3989/redc.2024.3.1581

Andrade, M. C. de, Baños-Moreno, M.-J., & Pastor-Sánchez, J.-A. (2024). Hacia un ecosistema de aplicación de buenas prácticas de publicación de datos en la Web: mapeado de las DWBP como medio para la implementación y el cumplimiento de los principios FAIR, FACT y CARE. Revista Española de Documentación Científica, 47(3), e388–e388. https://doi.org/10.3989/redc.2024.2.1491

Orduña-Malea, E., Font-Julián, C. I., & Serrano-Cobos, J. (2024). Open access publications drive few visits from Google Search results to institutional repositories. Scientometrics, 1–22. https://doi.org/10.1007/s11192-024-05175-0

The role of scientometrics in the pursuit of responsible research assessment. (2024, September 4). Impact of Social Sciences. https://blogs.lse.ac.uk/impactofsocialsciences/2024/09/04/the-role-of-scientometrics-in-the-pursuit-of-responsible-research-assessment/

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Clavié, B. (2024, June 27). A little pooling goes a long way for multi-vector representations. Answer.AI. https://www.answer.ai/posts/colbert-pooling.html

Abramo, G. (2024). The forced battle between peer-review and scientometric research assessment: Why the CoARA initiative is unsound. Research Evaluation, rvae021. https://doi.org/10.1093/reseval/rvae021

Cómo crear un asistente experto con datos abiertos: construcción de GPT para responder al reto de los minerales críticos | datos.gob.es. (n.d.). Retrieved July 12, 2024, from https://datos.gob.es/es/documentacion/como-crear-un-asistente-experto-con-datos-abiertos-construccion-de-gpt-para-responder

Manola. (2024, June 5). Unlocking Value:  How Open Scholarly Communication Infrastructure Transforms Research Outcomes. https://doi.org/10.5281/zenodo.11487861

Delgado-Quirós, L., & Ortega, J. L. (2024). Completeness degree of publication metadata in eight free-access scholarly databases. Quantitative Science Studies, 5(1), 31–49. https://doi.org/10.1162/qss_a_00286

Shearer, K., Nakano Koga, S. M., Rodrigues, E., Manola, N., Pronk, martine, & Proudman, V. (2023). Current State and Future Directions for Open Repositories in Europe. https://doi.org/10.5281/ZENODO.10255559

Galindo, F. J. M., Fernández-Burguete, S., & Rubio, F. J. (2023). Presente y futuro de los acuerdos transformativos en España. Hipertext.net, 27, 91–101. https://doi.org/10.31009/hipertext.net.2023.i27.09

Rosales-Ayala, L., Guallar, J., & Vállez, M. (2024). Cómo curan contenido los medios en Instagram. Taxonomía y ejemplos. Infonomy, 2(2). https://doi.org/10.3145/infonomy.24.023

Social Media, Authoritarianism, and the World As It Is. (2024, March 28). https://lpeproject.org/blog/social-media-authoritarianism-and-the-world-as-it-is/

Transformative Journals: analysis from the 2022 reports | Plan S. (n.d.). Retrieved March 28, 2024, from https://www.coalition-s.org/blog/transformative-journals-analysis-from-the-2022-reports/

Espacio Europeo de Datos Sanitarios: el Consejo y el Parlamento alcanzan un acuerdo. (n.d.). Retrieved March 16, 2024, from https://www.consilium.europa.eu/es/press/press-releases/2024/03/15/european-health-data-space-council-and-parliament-strike-provisional-deal/

Mejón, A., & Beceiro Ribela, M. S. (2020). El marco legal de la coproducción cinematográfica en España:evolución y oportunidades para la diversidad cultural. Asociación Española de Investigación de La Comunicación. http://hdl.handle.net/10016/31888

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Mateos-Pérez, J., & Sirera-Blanco, R. (2021). Taxonomí­a de las series de televisión españolas en la era digital (2000-2020). Profesional de la información / Information Professional, 30(6). https://doi.org/10.3145/epi.2021.nov.08

Bristi, W. R., Zaman, Z., & Sultana, N. (2019). Predicting IMDb Rating of Movies by Machine Learning Techniques. 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 1–5. https://doi.org/10.1109/ICCCNT45670.2019.8944604

Qaisar, S. M. (2020). Sentiment Analysis of IMDb Movie Reviews Using Long Short-Term Memory. 2020 2nd International Conference on Computer and Information Sciences (ICCIS), 1–4. https://doi.org/10.1109/ICCIS49240.2020.9257657

Sentiment Analysis of Online Movie Reviews using Machine Learning - ProQuest. (n.d.). Retrieved March 11, 2024, from https://www.proquest.com/openview/694ccb1fa6231ad2d8d7c7ceac5290b9/1?pq-origsite=gscholar&cbl=5444811

Ciberinteligencia y cibercrimen: ¿Bots o código? (2023, September 11). https://unminioncurioso.blogspot.com/2023/09/ciberinteligencia-y-cibercrimen-bots-o_11.html

Momot, I. (2022). Artificial Intelligence in Filmmaking Process: future scenarios [Jyväskylä: JAMK University of Applied Sciences]. https://www.theseus.fi/bitstream/handle/10024/753638/Thesis_Momot_Irina.pdf?sequence=2

Capello, M., Burri, M., Eskens, S., Farish, K., Frosio, G., Guidotti, R., Jääskeläinen, A., Pin, A., & Raizytè, J. (2020). Artificial intelligence in the  audiovisual sector (IRIS Special, p. 200). European Audiovisual Observatory (Council of Europe). https://rm.coe.int/iris-special-2-2020en-artificial-intelligence-in-the-audiovisual-secto/1680a11e0b

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Kaur, H. S., Ajay Rastogi, Kamaljeet. (2023). Artificial intelligence as a tool in the visual effects and film industry. In Recent Advances in Computing Sciences. CRC Press. https://www.taylorfrancis.com/chapters/edit/10.1201/9781003405573-56/artificial-intelligence-tool-visual-effects-film-industry-hardeep-singh-ajay-rastogi-kamaljeet-kaur

Academy, F. (2023, May 17). Filmmakers Academy Premium Education. https://www.filmmakersacademy.com/blog-how-ai-video-tools-are-changing-the-film-industry-2023/

Bean, T. H. D. and R. (2023, June 19). The Impact of Generative AI on Hollywood and Entertainment. https://sloanreview.mit.edu/article/the-impact-of-generative-ai-on-hollywood-and-entertainment/

AI in storytelling: Machines as cocreators | McKinsey. (n.d.). Retrieved January 17, 2024, from https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/ai-in-storytelling

Delacruz, S. L. (2023). Un vínculo paradójico: narrativas audiovisuales generadas por inteligencia artificial, entre el pastiche y la cancelación del futuro. Hipertext.net, 26, 31–35. https://doi.org/10.31009/hipertext.net.2023.i26.05

VOSS, A. (n.d.). INFORME sobre la inteligencia artificial en la era digital | A9-0088/2022 | Parlamento europeo. Retrieved January 17, 2024, from https://www.europarl.europa.eu/doceo/document/A-9-2022-0088_ES.html

VERHEYEN, S. (n.d.). REPORT on artificial intelligence in education, culture and the audiovisual sector | A9-0127/2021 | European Parliament. Retrieved January 17, 2024, from https://www.europarl.europa.eu/doceo/document/A-9-2021-0127_EN.html

Oyewola, D. O., & Dada, E. G. (2022). Machine Learning Methods for Predicting the Popularity of Movies. Journal of Artificial Intelligence and Systems, 4(1), 65–82. https://doi.org/10.33969/AIS.2022040105

Hermann, I. (2023). Artificial intelligence in fiction: between narratives and metaphors. AI & SOCIETY, 38(1), 319–329. https://doi.org/10.1007/s00146-021-01299-6

L., K. (2023). Copyright Challenges in the Artificial Intelligence Revolution: Transforming the Film Industry from Script to Screen. 4, 1–8. https://doi.org/10.48165/tlr.2024.4.1.1

Kaur, H. S., Ajay Rastogi, Kamaljeet. (2023). Artificial intelligence as a tool in the visual effects and film industry. In Recent Advances in Computing Sciences. CRC Press.

Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the creative industries: a review. Artificial Intelligence Review, 55(1), 589–656. https://doi.org/10.1007/s10462-021-10039-7

Rosés, J. (n.d.). Intel·ligència Artificial, Experiències Immersives, Blockchain / Web3.

KAMMEREVERT, P. (n.d.). REPORT on the implementation of the revised Audiovisual Media Services Directive | A9-0139/2023 | European Parliament. Retrieved January 17, 2024, from https://www.europarl.europa.eu/doceo/document/A-9-2023-0139_EN.html

Film sector on the frontlines: High-level discussion on AI in the audio-visual industry | Diversity of Cultural Expressions. (2023, October 19). https://www.unesco.org/creativity/en/articles/film-sector-frontlines-high-level-discussion-ai-audio-visual-industry

Caballero, J. (2023). Toward a New Dimension in Film Editing: Exploring the Possibilities of Artificial Intelligence. Hipertext.Net: Revista Académica Sobre Documentación Digital y Comunicación Interactiva, 26, 17. https://dialnet.unirioja.es/servlet/articulo?codigo=8994174

Sánchez-Garcí­a, P., Merayo-Álvarez, N.-, Calvo-Barbero, C., & Diez-Gracia, A. (2023). Spanish technological development of artificial intelligence applied to journalism: companies and tools for documentation, production and distribution of information. Profesional de la información / Information Professional, 32(2). https://doi.org/10.3145/epi.2023.mar.08

admin. (2023, May 19). Influencia de la Inteligencia Artificial en el mundo audiovisual. FADER. https://audiovisualesfader.com/contenidos-multimedia/influencia-inteligencia-artificial-mundo-audiovisual-actualidad/