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.
Il contributo si propone di analizzare il prompt design non come semplice input testuale per l’attivazione dell’AI, ma come processo dialogico e ricorsivo tra utente e modello, fondato su dinamiche di co-costruzione comunicativa. La ricerca interpreta il prompting come una pratica socialmente situata, sviluppata attraverso feedback continui e forme collaborative di apprendimento e negoziazione collettiva tra utenti di community online dedicate all’AI. Adottando un approccio mixed methods, lo studio combina strumenti qualitativi e quantitativi per l’analisi delle pratiche discorsive e collaborative legate al prompting. Attraverso un’osservazione etnografica digitale non partecipante e una content analysis, vengono analizzate due community online dedicate al prompting (r/PromptEngineering su Reddit e LearnAITogether su Discord), al fine di mettere in luce come le interazioni tra i membri favoriscano forme di prompt design community-driven. I risultati mostrano l’emergere di modalità collaborative e performative di costruzione del prompt, nelle quali il social e informal learning delle community contribuisce al miglioramento dell’efficacia generativa dei modelli e alla definizione di nuove pratiche di interazione uomo-AI orientate al perfezionamento di più espliciti processi di crowdsourced AI refinement.
Prompt together: il prompting come pratica mediale socialmente situata e collettivamente negoziata / Balducci, M., Ugolini, L.. - In: @ DIGITCULT. - ISSN 2531-5994. - 11:1(2026), pp. 45-70. [10.54103/2531-5994/31736]
Prompt together: il prompting come pratica mediale socialmente situata e collettivamente negoziata
Balducci, Michele;Ugolini, Lorenzo
2026
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


