Prompt together
Prompting as a Socially Situated and Collectively Negotiated Media Practice
DOI:
https://doi.org/10.54103/2531-5994/31736Keywords:
AI, Prompt design, Online communities, Reddit, Discord, crowdsourced AI refinementAbstract
The paper aims to analyse prompt design not as a simple textual input used to activate AI systems, but as a dialogic and recursive process between user and model, grounded in dynamics of communicative co-construction. The study interprets prompting as a socially situated practice, developed through continuous feedback and collaborative forms of learning and collective negotiation among users within online communities dedicated to AI. By adopting a mixed methods approach, the research combines qualitative and quantitative tools to investigate the discursive and collaborative practices related to prompting.
Through non-participant digital ethnography and content analysis, the research examines two online communities dedicated to prompting (r/WritingPrompts on Reddit and LearnAITogether on Discord), in order to highlight how interactions among members foster community-driven forms of prompt design. The findings reveal the emergence of collaborative and performative modes of prompt construction, in which the social and informal learning processes embedded within these communities contribute both to improving the generative effectiveness of AI models and to shaping new forms of human-AI interaction.
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Adams, N. N. (2024). “Scraping” Reddit posts for academic research? Addressing some blurred lines of consent in growing internet-based research trend during the time of Covid-19. International Journal of Social Research Methodology, 27(1), 47–62. DOI: https://doi.org/10.1080/13645579.2022.2111816
Airoldi, M. (2022). Macchine socializzate e riproduzione tecno-sociale: nuove frontiere sociologiche. Sociologia Italiana, 19(20), 111-121.
AlGhamdi, R. (2025). Bridging learning gaps through Discord: peer-to-peer learning in computer graphics education. Learning and teaching in higher education: Gulf perspectives, 19(1), 49-65. DOI: https://doi.org/10.1108/LTHE-12-2024-0001
Anwar, M. A. (2025). Value chains of AI: Data training firms, platforms, and workers. In The Future of Labour (pp. 198-213). Routledge: London. DOI: https://doi.org/10.4324/9781003391333-15
Aysan, H. (2026). Artificial Intelligence as a Distributed Actor: Rethinking Organizational Theory Through Sociotechnical Networks. In Artificial Intelligence and Applications, 4(1), pp. 92-100. DOI: https://doi.org/10.47852/bonviewAIA52025546
Bareither, C. (2024). Cultures of artificial intelligence: AI assemblages and the transformations of everyday life. Zeitschrift für empirische kulturwissenschaft, 120(1). DOI: https://doi.org/10.31244/zekw/2024/01.31
Beer, D. (2022). The problem of researching a recursive society: Algorithms, data coils and the looping of the social. Big Data & Society, 9(2), 20539517221104997. DOI: https://doi.org/10.1177/20539517221104997
Bi, R., & Wei, S. (2023). Exploring the Implementation of NLP Topic Modeling for Understanding the Dynamics of Informal Learning in an AI Painting Community. In EDM.
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.
Boczkowski, P. J. (1999). Mutual shaping of users and technologies in a national virtual community. Journal of Communication, 49(2), 86-108. DOI: https://doi.org/10.1111/j.1460-2466.1999.tb02795.x
Bolin, G. (2024). Communicative AI and techno-semiotic mediatization. Human-Machine Communication, 7, 65-82. DOI: https://doi.org/10.30658/hmc.7.4
Bolin, G. & Hepp, A. (2017). The complexities of mediatization. In Dynamics of mediatization (pp. 315-331). Springer: Cham. DOI: https://doi.org/10.1007/978-3-319-62983-4_15
Bourdieu, P. (1980). Le sens pratique. Minuit: Parigi.
Bowen, G. A. (2006). Grounded theory and sensitizing concepts. International journal of qualitative methods, 5(3), 12-23. DOI: https://doi.org/10.1177/160940690600500304
Brown, M. A., Gruen, A., Maldoff, G., Messing, S., Sanderson, Z., & Zimmer, M. (2025). Web scraping for research: Legal, ethical, institutional, and scientific considerations. Big Data & Society, 12(4), 20539517251381686. DOI: https://doi.org/10.1177/20539517251381686
Bucher, T. (2018). If… then: Algorithmic power and politics. Oxford University Press; New York. DOI: https://doi.org/10.1093/oso/9780190493028.001.0001
Cambridge, D., Wenger-Trayner, E., Hammer, P., Reid, P., & Wilson, L. (2024). Theoretical and practical principles for generative AI in communities of practice. In Framing futures in postdigital education (pp. 229-239). Springer: Cham. DOI: https://doi.org/10.1007/978-3-031-58622-4_13
Choi, Y., Baek, J., & Hwang, S. J. (2026). System prompt optimization with meta-learning. Advances in Neural Information Processing Systems, 38, 55451-55488.
Coeckelbergh, M. (2022). The political philosophy of AI. John Wiley & Sons: Cambridge.
Couldry, N. (2012). Media, society, world: Social theory and digital media practice. Polity Press: London.
Creamer, E. G. (2021). Advancing grounded theory with mixed methods. Routledge: London. DOI: https://doi.org/10.4324/9780429057007
Crooks, L. C. (2026). Tracing Non-Dyadic Creative AI Interaction. CHI 2026 Workshop, https://herding-cats-ws.github.io/2026/papers/p25.pdf.
Dautov, R., Husom, E. J., Sen, S., & Song, H. (2023). Towards community-driven generative AI. In FedCSIS (Position Papers), 43-50. DOI: https://doi.org/10.15439/2023F5494
Davis, N., Sherson, J., & Rafner, J. (2025). The co-creative design framework for hybrid intelligence. In Proceedings of the 2025 Conference on Creativity and Cognition (pp. 560-572). DOI: https://doi.org/10.1145/3698061.3726934
Degele, N. (2008). On controlling complex systems—a socio-cybernetic reflexion. Journal of Sociocybernetics, 6(2), 55-68.
Ehsan, U., Wintersberger, P., Liao, Q. V., Watkins, E. A., Manger, C., Daumé III, H., ... & Riedl, M. O. (2022). Human-Centered Explainable AI (HCXAI): beyond opening the black-box of AI. In CHI conference on human factors in computing systems extended abstracts (pp. 1-7). DOI: https://doi.org/10.1145/3491101.3503727
Elias, N. (1978). Was ist Soziologie?, Yuventa [Ed. it.]: Che cos’è la sociologia (1990), Rosenberg & Sellier: Torino.
Eryilmaz, E., Thoms, B. & Ahmed, Z. (2022). Cluster Analysis in Online Learning Communities: A Text Mining Approach. Communications of the Association for Information Systems. 51, 10.17705/1CAIS.05132. DOI: https://doi.org/10.17705/1CAIS.05132
Esposito, E. (2022). Comunicazione artificiale: Come gli algoritmi producono intelligenza sociale. Bocconi University Press: Milano.
Essmann, B., Mueller, O. (2022) AI-Supported Brain–Computer Interfaces and the Emergence of ‘Cyberbilities’. In: Voenecky S, Kellmeyer P, Mueller O, Burgard W (eds) The Cambridge Handbook of Responsible Artificial Intelligence: Interdisciplinary Perspectives. Cambridge University Press: Cambridge, pp. 427–443. https://doi.org/10.1017/9781009207898.033 DOI: https://doi.org/10.1017/9781009207898.033
Etzrodt, K., & Edwards, A. P. (2026). The Epistemic Power of Human-Machine Communication. Human-Machine Communication, 12(1), 1. DOI: https://doi.org/10.30658/hmc.12.1
Fawzy, A., Tahir, A., & Blincoe, K. (2025). Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook--a Grey Literature Review, arXiv preprint arXiv:2510.00328. DOI: https://doi.org/10.1145/3786583.3786866
Feher, K. (2025). Generative AI, Media & Society. Routledge: London. DOI: https://doi.org/10.4324/9781003591023
Fillies, J., Peikert, S., & Paschke, A. (2024). Hateful messages: A conversational data set of hate speech on Discord. In Data Science—Analytics and Applications. Springer: Cham. DOI: https://doi.org/10.1007/978-3-031-42171-6_5
Fiesler, C., Zimmer, M., Proferes, N., Gilbert, S., & Jones, N. (2024). Remember the human: A systematic review of ethical considerations in reddit research. Proceedings of the ACM on Human-Computer Interaction, 8(GROUP), 1-33. DOI: https://doi.org/10.1145/3633070
Floridi, L. (2025). AI as Agency without Intelligence. Philosophy & Technology, 38(1), 30. DOI: https://doi.org/10.1007/s13347-025-00858-9
Forberg, P., & Schilt, K. (2023). What is ethnographic about digital ethnography? Frontiers in Sociology, 8, 1156776. DOI: https://doi.org/10.3389/fsoc.2023.1156776
Fourcade, M. & Johns, F. (2020). Loops, ladders, and links: The recursivity of social and machine learning. Theory and Society, 49(5-6), 803-832. DOI: https://doi.org/10.1007/s11186-020-09409-x
franzke, a. s., Bechmann, A., Zimmer, M., & Ess, C. (2020). Internet Research: Ethical Guidelines 3.0. Association of Internet Researchers. https://aoir.org/reports/ethics3.pdf
Gagrčin, E., Naab, T. K., & Grub, M. F. (2026). Algorithmic media use and algorithm literacy: An integrative literature review. New Media & Society, 28(1), 423-447. DOI: https://doi.org/10.1177/14614448241291137
Giddens, A. (1984). The constitution of society. Polity Press: Cambridge.
Guile, D., & Popov, J. (2025). Machine learning and human learning. AI & SOCIETY, 40(2), 325-338. DOI: https://doi.org/10.1007/s00146-024-01891-6
Gunkel, D. J. (2024). AI for communication. CRC Press: Boca Raton. DOI: https://doi.org/10.1201/9781003442240
Gunning, D., Stefik, M., Choi, J., Miller, T., Stumpf, S., & Yang, G. Z. (2019). XAI—Explainable artificial intelligence. Science robotics, 4(37), eaay7120. DOI: https://doi.org/10.1126/scirobotics.aay7120
Halpin, H. (2025). Artificial intelligence versus collective intelligence. AI & SOCIETY, 40(6), 4589-4604. DOI: https://doi.org/10.1007/s00146-025-02240-x
Haraway, D. (1988). Situated knowledges: The Science Question in Feminism and the Privilege of Partial Perspective. Feminist Studies, 14(3), 575-599. DOI: https://doi.org/10.2307/3178066
Haythornthwaite, C., Kumar, P., Gruzd, A., Gilbert, S., Esteve del Valle, M., & Paulin, D. (2018). Learning in the wild: coding for learning and practice on Reddit. Learning, media and technology, 43(3), 219-235. DOI: https://doi.org/10.1080/17439884.2018.1498356
Hepp, A. (2022a). Agency, social relations and order. Communications, 47(3), 470-493. DOI: https://doi.org/10.1515/commun-2020-0079
Hepp, A. (2022b). Digital media, data infrastructures, and space. In Communicative constructions and the refiguration of spaces (pp. 57-75). Routledge: London. DOI: https://doi.org/10.4324/9780367817183-6
Hepp, A., Bolin, G., Guzman, A. L., & Loosen, W. (2024). Mediatization and human-machine communication. Human-Machine Communication, 7, 7-21. DOI: https://doi.org/10.30658/hmc.7.1
Hepp, A. & Hasebrink, U. (2018). Researching transforming communications in times of deep mediatization. In Communicative figurations, pp. 15-48, Palgrave Macmillan: Basingstoke. DOI: https://doi.org/10.1007/978-3-319-65584-0_2
Hepp, A. & Loosen, W. (2023). The interdisciplinarity of HMC. In The SAGE Handbook of Human-Machine Communication. Sage: London (pp. 12-21). DOI: https://doi.org/10.4135/9781529782783.n4
Heuser, M. & Vulpius, J. (2024). ‘Grandma, tell that story about how to make napalm again’: Exploring early adopters’ collaborative domestication of generative AI. Convergence, 32(1), 87-110. DOI: https://doi.org/10.1177/13548565241285742
Hine, H. M. (2000). Virtual Ethnography. Sage: London. DOI: https://doi.org/10.4135/9780857020277
Hintz, E. A. & Betts, T. (2022). Reddit in communication research. Annals of the ICA, 46(2), 116–133. DOI: https://doi.org/10.1080/23808985.2022.2064325
Hoc, J. M. (2000). From human–machine interaction to human–machine cooperation. Ergonomics, 43(7), 833-843. DOI: https://doi.org/10.1080/001401300409044
Holt, K. (2025). Hybrid intelligence: Merging collective and artificial intelligence. Taylor & Francis: London. DOI: https://doi.org/10.4324/9781003654407
Jasanoff, S., & Kim, S.H. (Eds.) (2015). Dreamscapes of modernity. University of Chicago Press: Chicago. DOI: https://doi.org/10.7208/chicago/9780226276663.001.0001
Jung, S. I., Lee, H., & Park, J. (2023). Word cloud techniques for data analysis. 1st International Conference on Smart Mobility, 278–283. DOI: https://doi.org/10.46254/EV01.20230123
Kaufmann, T., Weng, P., Bengs, V., & Hüllermeier, E. (2024). A survey of reinforcement learning from human feedback. Transactions on Machine Learning Research.
Kaur-Gill, S., & Dutta, M. J. (2017). Digital ethnography. The international encyclopedia of communication research methods, 10(1), 1-10. DOI: https://doi.org/10.1002/9781118901731.iecrm0271
Keenan, B., & Sokol, K. (2023). Mind the gap! Bridging explainable AI and human understanding. arXiv:2302.03460.
Kim, J., Klein-Balajee, T., Kelly, R. M., & Hiniker, A. (2025). Discord’s Design Encourages 'Third Place' Social Media Experiences. arXiv:2501.09951.
Kraljic, T. & Lahav, M. (2024). From prompt engineering to collaborating. Interactions, 31(3), 30-35. DOI: https://doi.org/10.1145/3652622
Kramp, L., Hepp, A., & Radde-Antweiler, K. (2025). The Centre for Media, Communication, and Information Research. In Edwards C. et al. (eds), Creating Communication and Media Research Labs. Palgrave Macmillan: Cham. DOI: https://doi.org/10.1007/978-3-031-93054-6_5
Krippendorff, K. (2018). Content analysis. An introduction to its methodology Sage: London. DOI: https://doi.org/10.4135/9781071878781
Küppers, E. U. (2023). Cybernetic Systems in Practice. In A Transdisciplinary Introduction to the World of Cybernetics (pp. 147-206). Springer: Wiesbaden. DOI: https://doi.org/10.1007/978-3-658-42117-5_7
Latour, B. (1987). Science in action. Harvard University Press: Cambridge.
Lazaros, K., Vrahatis, A. G., & Kotsiantis, S. (2026). Human-in-the-Loop Artificial Intelligence. Entropy, 28(4), 377. DOI: https://doi.org/10.3390/e28040377
Li, M., Xue, Z., Li, J., Liang, M., & Yu, Z. (2026). Making Low-Saliency Context Exert Its Effect: Multi-prompt Context-aware Contrastive Decoding. In 2026 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 104-111). IEEE. DOI: https://doi.org/10.1109/BigComp68355.2026.00025
Li, J., Song, T., Xue, B., & Lee, Y. C. (2025). We shape AI, and thereafter AI shape us: Humans align with AI through social influences. In ICLR 2025 Workshop on Bidirectional Human-AI Alignment.
Lin, L., Im, J. J., & Long, D. (2025). Beyond the Prompt: Community-Oriented Futures for Creative GenAI. DIS 2025. DOI: https://doi.org/10.1145/3715336.3735727
Lin, J., Ma, Z., Gomez, R., Nakamura, K., He, B., & Li, G. (2020). A review on interactive reinforcement learning from human social feedback. IEEE Access, 8, 120757-120765. DOI: https://doi.org/10.1109/ACCESS.2020.3006254
Liu, H., Bhatia, P., Vincent, N., & Chilana, P. (2026). Tracing Everyday AI Literacy Discussions at Scale: How Online Creative Communities Make Sense of Generative AI. arXiv preprint arXiv:2603.09055. DOI: https://doi.org/10.1145/3772318.3791001
Luhmann, N. (2018). Organization and decision. Cambridge University Press: Cambridge. DOI: https://doi.org/10.1017/9781108560672
Mahdavi Goloujeh, A., Sullivan, A., & Magerko, B. (2024). The social construction of generative AI prompts. CHI 2024 Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-7). DOI: https://doi.org/10.1145/3613905.3650947
Marciano, M. C., & Arduini, G. (2026). Collective Intelligence, Connective Intelligence and Artificial Intel-ligence: Methodological Implications for Educational Research. Journal of Inclusive Methodology and Technology in Learning and Teaching, 6(1).
Marinelli, A., Leonzi, S. (2023), Per un approccio ecologico ai media tra processi di piattaformizzazione e dinamiche transmediali. Sociologia della comunicazione: 64, 2, 2022, 59-79. DOI: https://doi.org/10.3280/SC2022-064004
Massanari, A. (2015). Participatory culture, community, and play: Learning from Reddit. Peter Lang: New York. DOI: https://doi.org/10.3726/978-1-4539-1501-1
Matta, D. (2026), What Makes an Agent? Structural Conditions for Artificial Agency, Toward a Developmental Systems Theory of Artificial Agency, PhilPapers, https://philpapers.org/archive/MATWMA-6.pdf.
Medvedev, A. N., Lambiotte, R., & Delvenne, J. C. (2017). The anatomy of Reddit. An overview of academic research. Dynamics on and of Complex Networks, 183-204. DOI: https://doi.org/10.1007/978-3-030-14683-2_9
Messerli, T. C., Dayter, D., Leuckert, S., Liimatta, A., Mahler, H., Bohmann, A., ... & Tosin, R. (2025). Digital debating cultures: communicative practices on Reddit. Digital Scholarship in the Humanities, 40(1), 227-240. DOI: https://doi.org/10.1093/llc/fqaf005
Müller, L. (2022). Domesticating artificial intelligence. Moral Philosophy and Politics, 9(2), 219-237. DOI: https://doi.org/10.1515/mopp-2020-0054
Müller, V., Sieg, C., & Linsen, L. (2021). Uncertainty-aware topic modeling visualization. In 2021 IEEE 6th Workshop on Visualization for the Digital Humanities (VIS4DH) (pp. 12-18). IEEE. DOI: https://doi.org/10.1109/VIS4DH53644.2021.00007
Murturi, I., Donta, P. K., & Dustdar, S. (2023). Community AI: Towards community-based federated learning. IEEE CogMI 2023. DOI: https://doi.org/10.1109/CogMI58952.2023.00029
Nim, E. G. (2025). Artificial Intelligence and Human-Machine Communication: A Challenge for Mediatization Studies. RUDN Journal of Studies in Literature and Journalism, 30(4), 813-823. DOI: https://doi.org/10.22363/2312-9220-2025-30-4-813-823
Nixdorf, S., Zhang, M., Grosse, E. H., & Ansari, F. (2026). Reciprocal learning in human–machine collaboration: a systematic literature review and implications for production and logistics. International Journal of Production Research, 64(4), 1561-1585. DOI: https://doi.org/10.1080/00207543.2025.2568177
Pedreschi, D., Pappalardo, L., Ferragina, E., Baeza-Yates, R., Barabási, A. L., Dignum, F., ... & Vespignani, A. (2025). Human-AI coevolution. Artificial Intelligence, 339, 104244. DOI: https://doi.org/10.1016/j.artint.2024.104244
Pink, S., Horst, H., Lewis, T., Hjorth, L., & Postill, J. (2015). Digital ethnography: Principles and practice. Sage: London.
Proferes, N., Jones, N., Gilbert, S., Fiesler, C., & Zimmer, M. (2021). Studying reddit: A systematic overview of disciplines, approaches, methods, and ethics. Social media+ society, 7(2), 20563051211019004. DOI: https://doi.org/10.1177/20563051211019004
Rammert, W. (2025). Technology and the Theory of Distributed Agency: A New Approach After Actor-Network-Theory. In Distributed Agency & Digital Technology: A Social Pragmatist View on Human-Technology Interaction (pp. 129-142). Wiesbaden: Springer Fachmedien Wiesbaden. DOI: https://doi.org/10.1007/978-3-658-48787-4_7
Raviv, G. (2018). Collect, combine, and transform data using Power Query in Excel and Power BI. Microsoft Press: Redmond.
Reckwitz, A. (2002). Toward a theory of social practices. European Journal of Social Theory, DOI: https://doi.org/10.1177/13684310222225432
Robinson, B. (2023). Governance on Discord: a study of platform practices. Learning, Media and Technology, 48(1), 81-94. DOI: https://doi.org/10.1080/17439884.2022.2052312
Rogers, R. (2024). Doing digital methods. Sage: London. DOI: https://doi.org/10.4135/9781036231514
Santoso, B., & Wijayanti, R. (2024). Human-AI collaboration in creative industries. Transactions on AI, Machine Learning, and Cognitive Systems, 9(11), 11-26.
Sartori, L. & Bocca, G. (2023). Minding the gap(s): public perceptions of AI. AI & Society, 38(2), 443-458. DOI: https://doi.org/10.1007/s00146-022-01422-1
Schrader, P. G., Carroll, M. C., McCreery, M. P., & Head, D. L. (2020). Mixed methods for human–computer interactions research. Journal of Educational Computing Research, 58(4), 818-841. DOI: https://doi.org/10.1177/0735633119878066
Scott, S. V., & Orlikowski, W. J. (2025). Exploring AI-in-the-making: Sociomaterial genealogies of AI performativity. Information and Organization, 35(1), 100558. DOI: https://doi.org/10.1016/j.infoandorg.2025.100558
Sedighi, M. (2016). Application of word co-occurrence analysis method in mapping of the scientific fields (case study: the field of Informetrics). Library review, 65(1-2), 52-64. DOI: https://doi.org/10.1108/LR-07-2015-0075
Silverstone, R. & Hirsch, E. (Eds.). (1994). Consuming technologies: Media and Information in Domestic Spaces. Routledge: London.
Spaargaren, G., Weenink, D., & Lamers, M. (2016). Practice theory and research. Exploring the Dynamics of Social Life. Routledge: London. DOI: https://doi.org/10.4324/978131565690
Srinivasa-Desikan, B. (2018). Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras. Packt Publishing Ltd: libro digitale.
Steinbach M., Karypis, M. S. G. & Kumar, V. (2000). A comparison of document clustering techniques. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215421.
Strauss, A., & Corbin, J. (1990). Basics of qualitative research (Vol. 15, pp. 61-110), Sage: Newbury Park.
Subash, K. M., Kumar, L. P., Vadlamani, S. L., Chatterjee, P., & Baysal, O. (2022). DISCO: A dataset of Discord chat conversations for software engineering research. In Proceedings of the 19th International Conference on Mining Software Repositories (pp. 227-231). DOI: https://doi.org/10.1145/3524842.3528018
Wang, Z., Chakravarthy, A., Munechika, D., & Chau, D. H. (2024). Wordflow: Social prompt engineering for large language models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (pp. 42-50). DOI: https://doi.org/10.18653/v1/2024.acl-demos.5
Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge University Press: Cambridge. DOI: https://doi.org/10.1017/CBO9780511803932
Wiedemann, G. (2016). Text mining for qualitative data analysis in the social sciences. Springer: Wiesbaden. DOI: https://doi.org/10.1007/978-3-658-15309-0
Wiener, N. (1948). Cybernetics or Control and Communication in the Animal and the Machine. MIT Press: Cambridge.
Wiles, A. M., & Simmons, S. L. (2022). Learning community with Discord. Journal of Microbiology & Biology Education, 23(1), e00334-21. DOI: https://doi.org/10.1128/jmbe.00334-21
Woolgar, S. (1985). Why not a sociology of machines? Sociology, 19(4), 557-572. DOI: https://doi.org/10.1177/0038038585019004005
Wu, J. (2012). Cluster analysis and K-means clustering: an introduction. In Advances in K-Means clustering: A data mining thinking (pp. 1-16). Springer: Berlin Heidelberg. DOI: https://doi.org/10.1007/978-3-642-29807-3_1
Yenduri, G., Murugan, R., Maddikunta, P. K. R., Bhattacharya, S., Sudheer, D., & Savarala, B. B. (2025). Artificial general intelligence: Advancements, challenges, and future directions in AGI research. IEEE Access. DOI: https://doi.org/10.1109/ACCESS.2025.3592708
Ytre-Arne, B. (2023). Media use and everyday life: Theorising media practice. Emerald Publishing Limited: Bingley. DOI: https://doi.org/10.1108/9781802623833
Zhang, Q. (2026). Exploring Value Creation in Human-AI Collaborative Art: An Affordance Perspective. Information Systems Frontiers, 1-26. DOI: https://doi.org/10.1007/s10796-026-10706-6
Zhong, B., Song, Y., Feng, G. C., Shi, J., Zhu, Y., Xie, L., Zhu, W. A., Yu, S., Lu, Y., Qin, Y., & Xiong, Z. (2025). AI imaginaries shape technological identity and digital futures. Computers in Human Behavior, 169, 108682. DOI: https://doi.org/10.1016/j.chb.2025.108682
Zimmer, M. (2018). Addressing conceptual gaps in big data research ethics: An application of contextual integrity. Social Media + Society, 4(2). DOI: https://doi.org/10.1177/2056305118768300
Zönnchen, B., Dzhimova, M., & Socher, G. (2025). From intelligence to autopoiesis: rethinking artificial intelligence through systems theory. Frontiers in Communication, 10, 1585321. DOI: https://doi.org/10.3389/fcomm.2025.1585321
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Copyright (c) 2026 Michele Balducci, Lorenzo Ugolini (Author)
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Accepted 2026-07-16
Published 2026-08-06
