[{"id":1931,"id_source":575361,"institutes":["ILC"],"type":"journal_article","type_order":1,"title":"Discorsi di potere e intelligenza artificiale","year":2026,"authors":["Cristiano, F.","Giovannetti, E."],"authors_source":"Cristiano, Francesca; Giovannetti, Emiliano","authors_cnr_name":["CRISTIANO, FRANCESCA","GIOVANNETTI, EMILIANO"],"authors_cnr_id":["rp26249","rp21296"],"authors_cnr_institute":[],"abstract":"L\u2019articolo riflette sul rapporto tra discorsi di potere e intelligenza artificiale, interrogando il ruolo dei modelli linguistici come strumenti di supporto all\u2019analisi critica del discorso. Lontano da letture celebrative o allarmistiche, il contributo mostra come l\u2019uso consapevole dell\u2019AI possa aiutare a far emergere ricorrenze, cornici interpretative e asimmetrie discorsive, rafforzando (e non sostituendo) lo sguardo critico umano. Un invito a pensare l\u2019intelligenza artificiale non come un soggetto neutro ma come una lente attraverso cui osservare il funzionamento del potere nel linguaggio","keywords":["analisi critica del discorso, large language models, intelligenza artificiale"],"pages":"116-119","url":"https:\/\/fondazionerut.org\/erre\/","volume":"6","doi":"","editors":[],"editors_source":"","published":"ERRE","publisher":"","issn":"","isbn":"","conference_name":"","conference_place":"","conference_date":"","last_updated_cnr":"2026-07-04 00:10:40","last_updated_oai":"2026-07-03 14:22:45","last_updated_www":"0000-00-00 00:00:00"},{"id":457476,"id_source":586922,"institutes":["ILC"],"type":"journal_article","type_order":1,"title":"Can Large Language Models Support Critical Discourse Analysis? A Pilot Experiment","year":2026,"authors":["Cristiano, F.","Giovannetti, E."],"authors_source":"Cristiano, Francesca; Giovannetti, Emiliano","authors_cnr_name":["CRISTIANO, FRANCESCA","GIOVANNETTI, EMILIANO"],"authors_cnr_id":["rp26249","rp21296"],"authors_cnr_institute":[],"abstract":"This article presents a pilot experiment that explores the use of Large Language Models (LLMs) in the context of Critical Discourse Analysis (CDA). The study investigates the extent to which two LLMs can reproduce ideologically oriented discourse analyses. The proposed approach involves constructing a consensus-based gold standard from the annotations of three human raters, which was then used to evaluate the agreement between the automated analysis performed by the models and the human annotations. The case study examines a corpus of thirty opinion articles from ideologically diverse newspapers to investigate how the October 7 attack was portrayed in the media. The results indicate that LLMs perform well, particularly with respect to macro-and superstructural features, but struggle with microstructural phenomena such as euphemism detection, underscoring their potential role as supporting tools rather than substitutes for human analysis","keywords":["critical discourse analysis, large language models, artificial intelligence, critical discourse studies, quantitative analysis","analisi critica del discorso, modelli linguistici di grandi dimensioni, intelligenza artificiale, studi critici del discorso, analisi quantitativa"],"pages":"13-31","url":"https:\/\/umanisticadigitale.unibo.it\/article\/view\/23143","volume":"24","doi":"10.60923\/issn.2532-8816\/23143","editors":[],"editors_source":"","published":"UMANISTICA DIGITALE","publisher":"","issn":"2532-8816","isbn":"","conference_name":"","conference_place":"","conference_date":"","last_updated_cnr":"2026-07-04 00:10:47","last_updated_oai":"2026-07-04 00:10:47","last_updated_www":"0000-00-00 00:00:00"},{"id":1596,"id_source":582229,"institutes":["ILC"],"type":"conference_article","type_order":7,"title":"Exploring the Use of Large Language Models in Critical Discourse Analysis: A Consensus-Based Pilot Study","year":2026,"authors":["Giovannetti, E.","Cristiano, F."],"authors_source":"Giovannetti, Emiliano; Cristiano, Francesca","authors_cnr_name":["GIOVANNETTI, EMILIANO","CRISTIANO, FRANCESCA"],"authors_cnr_id":["rp21296","rp26249"],"authors_cnr_institute":[],"abstract":"Large Language Models (LLMs) are increasingly used in the social sciences and humanities (SSH) to support the analysis of complex textual data, raising methodological questions about evaluation and interpretive reliability. This paper explores the use of LLMs in Critical Discourse Analysis (CDA), considered here as a paradigmatic case of interpretive research in SSH, through a preliminary consensus-based evaluation framework. The study reports on a pilot experiment conducted on a small, theory-driven corpus of opinion articles addressing the October 7, 2023 attack and its aftermath. An LLM is asked to answer analytically motivated questions targeting different levels of discourse structure. Its responses are compared with annotations produced by multiple human analysts and aggregated through a consensus-based procedure. The results reveal an asymmetry in model performance: while LLMs align well with human consensus on macro-and superstructural features, they struggle with microstructural phenomena involving implicit meaning. These findings support the view of LLMs as epistemic support tools rather than replacements for human interpretation","keywords":["critical discourse analysis, large language models, interpretive evaluation, consensus-based analysis, social sciences and humanities"],"pages":"18-22","url":"http:\/\/lrec-conf.org\/proceedings\/lrec2026\/workshops\/llms4ssh\/2026.llms4ssh-1.0.pdf","volume":"","doi":"","editors":[],"editors_source":"","published":"Proceedings of Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities (LLMs4SSH) @ LREC 2026","publisher":"ELRA Language Resources Association (ELRA)","issn":"","isbn":"978-2-493814-85-2","conference_name":"Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities (LLMs4SSH) @ LREC 2026","conference_place":"","conference_date":"","last_updated_cnr":"2026-07-04 00:10:49","last_updated_oai":"2026-07-03 14:25:42","last_updated_www":"0000-00-00 00:00:00"},{"id":457641,"id_source":589241,"institutes":["ILC"],"type":"journal_article","type_order":1,"title":"Dinah Project: un'analisi terminologica del linguaggio dell'orrore","year":2025,"authors":["Cristiano, F."],"authors_source":"Cristiano, Francesca","authors_cnr_name":["CRISTIANO, FRANCESCA"],"authors_cnr_id":["rp26249"],"authors_cnr_institute":[],"abstract":"Il presente lavoro presenta un'analisi linguistica quantitativa e terminologica del libro \"A Quest for Justice\". Quest'ultimo \u00e8 stato prodotto nell'ambito del Dinah Project e riporta diverse tipologie di testimonianze delle violenze sessuali perpetrate da Hamas durante i vari attacchi del 7 Ottobre 2023","keywords":["analisi quantitativa, analisi terminologica, violenza sessuale"],"pages":"164-180","url":"https:\/\/fondazionerut.org\/erre\/","volume":"5","doi":"","editors":[],"editors_source":"","published":"ERRE","publisher":"","issn":"","isbn":"","conference_name":"","conference_place":"","conference_date":"","last_updated_cnr":"2026-07-04 00:10:47","last_updated_oai":"2026-07-03 14:13:28","last_updated_www":"0000-00-00 00:00:00"}]