References
- Addimando, F. (2024). Effective Communication Strategies (pp. 53–72). Springer International Publishing. Available at:
https://doi.org/10.1007/978-3-031-53606-9_4 . - Ahmad, W., Shokeen, R., & Raj, R. (2024). Artificial Intelligence. Advances in Educational Technologies and Instructional Design Book Series, 459–520. Available at:
https://doi.org/10.4018/979-8-3693-5538-1.ch017 . - Argyle, L.P., Busby, E.C., Gubler, J.R., Bail, C.A., Howe, T., Rytting, C., & Wingate, D. (2023). AI Chat Assistants can Improve Conversations about Divisive Topics. arXiv.Org, abs/2302.07268. Available at:
https://doi.org/10.48550/arXiv.2302.07268 . - Battista, D., & Petrone, A. (2024). Artificial Intelligence and Media-politics: A Revolution in Communicative Dynamics? Journal of Sociological Research, 15(2), 51. Available at:
https://doi.org/10.5296/jsr.v15i2.22207 . - Bojić, L. (2024). AI alignment: Assessing the global impact of recommender systems. Available at:
https://doi.org/10.1016/j.futures.2024.103383 . -
Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research.
Buolamwini J. Gebru T. 2018 Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification Proceedings of Machine Learning Research.
- Canpolat, S. (2024). Using Artificial Intelligence to Detect Violations and Disinformation on Social Media Networks, Including Intellectual Property Rights Infringements. 8(1), 73. Available at:
https://doi.org/10.62802/q3zfyr63 . - Chang, H.-C.H., et al. (2024). Generative Memesis: AI Mediates Political Memes in the 2024 USA Presidential Election. arXiv:2411.00934. Available at:
https://doi.org/10.48550/arxiv.2411.00934 . - European Commission. (2018). General Data Protection Regulation (GDPR).
- Ferrari, A. (2013). DIGCOMP: A Framework for Developing and Understanding Digital Competence in Europe. European Commission.
- Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review.
- Gabriel, S., Lyu, L., Siderius, J., Ghassemi, M., Andreas, J., & Ozdaglar, A. (2024). MisinfoEval: Generative AI in the Era of Alternative Facts. Available at:
https://doi.org/10.48550/arxiv.2410.09949 . - Germani, F., Spitale, G., & Biller‐Andorno, N. (2024). The Dual Nature of AI in Information Dissemination: Ethical Considerations. JMIR AI, 3, e53505. Available at:
https://doi.org/10.2196/53505 . - Govardhan, S.D., Pushpavalli, R., Rajani Kanth, T.V., & Ponmurugan, P. (2024). Advanced Computational Intelligence Techniques for Real-Time Decision-Making in Autonomous Systems. International Journal of Computational and Experimental Science and Engineering, 10(4). Available at:
https://doi.org/10.22399/ijcesen.591 . - Hao, K. (2021). What AI Still Can’t Do. MIT Technology Review.
- Heimann, M., & Hübener, A.-F. (2023). AI as Social Actor. Journal of Digital Social Research, 5(1), 48–69. Available at:
https://doi.org/10.33621/jdsr.v5i1.159 . - Hohenstein, J., et al. (2023). Artificial intelligence in communication impacts language and social relationships. Dental Science Reports, 13(1). Available at:
https://doi.org/10.1038/s41598-023-30938-9 . - DeVito, J.A. (1986). The Communication Handbook. A Dictionary. Harper & Row, New York, pp. 72–75.
- Karmakar, P., Sinha, S., & Pal, D. (2024). Artificial Intelligence. International Journal of Advanced Research in Science, Communication and Technology, 79–87. Available at:
https://doi.org/10.48175/ijarsct-19613 . - Lapchit, S., Suktam, W., Supsin, J., & Kenaphoom, S. (2024). Artificial Intelligence and Information Bubbles. Practice, Progress, and Proficiency in Sustainability, 161–178. Available at:
https://doi.org/10.4018/979-8-3693-7989-9.ch009 . - Mialkovska, L., Cherneta, S., Zabiiaka, I., Maiboroda, O., Silvestrova, O., & Voitenko, I. (2024). Effective Communication: Digital, Informational, Sociolinguistic Aspects (European Experience). International Journal of Religion. Available at:
https://doi.org/10.61707/v7tm3p78 . - Palfrey, J., & Gasser, U. (2016). Born Digital: How Children Grow Up in a Digital Age. Basic Books.
- Raj, A. (2024). Artificial Intelligence. International Journal for Science Technology and Engineering, 12(11), 646–655. Available at:
https://doi.org/10.22214/ijraset.2024.64695 . - Redecker, C. (2017). European Framework for the Digital Competence of Educators: DigCompEdu. European Commission.
- Sabera, G., Manoranjini, J., Aarif, M., Rao, V.S., Anandaram, H., & Valavan M.P. (2024). Combating Fake News in Social Media by Enabling Deep Convolutional Neural Network-Based Detection and Mitigation Strategies. 1–6. Available at:
https://doi.org/10.1109/iceeict61591.2024.10718422 . - Sadeghi, M.R., Mokhtari, K., & Goodarzian, F. (2024). Overview of AI and explainable AI decision-making (XAIDM). 152–166. Available at:
https://doi.org/10.1201/9781003503057-10 . - Selwyn, N. (2020). Should Robots Replace Teachers? AI and the Future of Education. Polity Press.
- Shyam Swaroop, T. (2024). Social media and the influence of fake news detection based on artificial intelligence. ShodhKosh Journal of Visual and Performing Arts, 5(7). Available at:
https://doi.org/10.29121/shodhkosh.v5.i7.2024.1955 . - UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence.
- Vosoughi, S., Roy, D., & Aral, S. (2018). The Spread of True and False News Online. Science, 359(6380), 1146–1151.
- Vrejoiu, M.H. (2019). Reţele neuronale convoluţionale, Big Data şi Deep Learning în analiza automată de imagini. Romanian Journal of Information Technology and Automatic Control, Vol. 29, No. 1, 91–114.
- Vuorikari, R., Punie, Y., Carretero, S., & Van den Brande, G. (2016). DigComp 2.0: The Digital Competence Framework for Citizens. Publications Office of the European Union.
