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<title>Dipartimenti e Centri di ricerca UniSA. Pubblicazioni scientifiche</title>
<link>http://elea.unisa.it/xmlui/handle/10556/2877</link>
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<pubDate>Tue, 14 Apr 2026 12:05:07 GMT</pubDate>
<dc:date>2026-04-14T12:05:07Z</dc:date>
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<title>Inhabited by Algorithms</title>
<link>http://elea.unisa.it/xmlui/handle/10556/9333</link>
<description>Inhabited by Algorithms
Corriveau, Patrice; Grassi, Edmondo
This editorial introduces a special issue exploring the intersections between technology, identity, and social life in the digital age. Taking the prosthesis as a paradigmatic figure, it argues that technological mediation is not external to the human condition but constitutive of it: from bodily devices to algorithmic environments, artifacts co-produce subjectivities, redistribute agency, and reconfigure the norms through which bodies, capacities, and identities are recognized. Drawing on STS, sociology of the body, and the framework of algomorphic society, the editorial examines how digital platforms and AI-based systems — understood as semi-autonomous relational actors — reshape self-presentation, emotional regulation, and practices of recognition. The contributions gathered in the issue address phenomena including algorithmic legitimation, AI imaginaries among young adults, online shaming, moral panic, and the attention architectures of digital childhood. Together, they interrogate the threshold at which technology ceases to be a support and becomes a co-constitutive matrix of social experience.
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<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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<title>The Last Moral Panic</title>
<link>http://elea.unisa.it/xmlui/handle/10556/9332</link>
<description>The Last Moral Panic
Christopher, Greco; Brown, Gregory
Moral panic is rarely defined in ways that move us beyond an unwillingness to accept alternative viewpoints or hierarchies of credibility. This paper outlines a definition of moral panic that maintains the analytical framework of studied groups and reads as collective, corrective-intended behaviour based on an irrational belief that exaggerates the threat posed by a social problem. After describing that which constitutes a social problem and differentiating concepts from theories, we continue to deconstruct the definition in reverse order before presenting moral panic as a two-stage process and testing an empirical example. The paper ends with a discussion of how advancements in artificial intelligence may limit the concept’s use.
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<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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<title>Online public shaming</title>
<link>http://elea.unisa.it/xmlui/handle/10556/9331</link>
<description>Online public shaming
Ferreira Dias Tavares, Ines
Online public shamings, popularly known as cancel culture, are a contemporary phenomenon in which someone, caught in wrongdoing, is exposed on social media platforms, going viral and attracting mass criticism; business partners and employers then might decide to cut ties with the culprit. Authors such as Taylor (2022), Trottier (2018) and Aitchison and Meckled-Garcia (2021), study how shame is the main punishment instrument used in such cases, but do not engage in empirical research to demonstrate it.  This article aims, then, to demonstrate the characterization of the phenomenon as shaming punishments by using empirical data of a single case study—Justine Sacco’s (2013). The intention is to verify if cases like Sacco’s are a form of shaming punishment, and to describe and analyze their specificities. By using Twitter data and network analysis, this article empirically demonstrates that Sacco’s shaming is a punishes her by exposing her to the world as an essentially flawed person. Shame encompasses her whole person, who is placed outside the community of trustworthy individuals, in a simple moral world divided between “good and bad, allies and enemies, human and subhuman” (Tyson, 2022, p. 129), resulting in her being fired and subjected to world infamy.; Le pubbliche umiliazioni online, comunemente note come cancel culture, sono un fenomeno contemporaneo in cui una persona, colta in una condotta ritenuta riprovevole, viene esposta sulle piattaforme dei social media, diventando virale e attirando critiche di massa; partner commerciali e datori di lavoro possono quindi decidere di interrompere i rapporti con il colpevole. Autori come Taylor (2022), Trottier (2018) e Aitchison e Meckled-Garcia (2021) studiano come la vergogna costituisca il principale strumento punitivo in questi casi, ma non si impegnano in ricerche empiriche volte a dimostrarlo. Questo articolo si propone dunque di dimostrare la caratterizzazione del fenomeno come forma di punizione fondata sulla vergogna (shaming punishment) utilizzando dati empirici relativi a un singolo caso di studio: quello di Justine Sacco (2013). L’obiettivo è verificare se casi come quello di Sacco possano essere considerati una forma di punizione tramite umiliazione pubblica, nonché descriverne e analizzarne le specificità. Attraverso l’analisi dei dati provenienti da Twitter e mediante strumenti di network analysis, l’articolo dimostra empiricamente come l’umiliazione pubblica subita da Sacco funzioni come una punizione che la espone al mondo come una persona intrinsecamente difettosa. La vergogna finisce così per investire l’intera persona, collocandola al di fuori della comunità degli individui degni di fiducia, all’interno di un semplice universo morale diviso tra «buoni e cattivi, alleati e nemici, umani e subumani» (Tyson, 2022, p. 129), con il risultato di portare al suo licenziamento e alla sua esposizione a una forma di infamia globale.
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<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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<title>Artificial Intelligence and the Future</title>
<link>http://elea.unisa.it/xmlui/handle/10556/9330</link>
<description>Artificial Intelligence and the Future
Banas, Monika
The text provides a qualitative analysis of 30 statements given by young people (19-27 years of age), students of humanities (Jagiellonian University in Krakow, Poland), on the changes occurring due to new technologies. The results of the survey, supplemented by in-depth interviews, provide interesting conclusions regarding the strategies adopted by respondents in addressing challenges posed by the increasing use of artificial intelligence in various areas of life, both individual and collective. Fears, hopes, optimism, and pessimism — varying in intensity — intertwine in the respondents' statements, finding different justifications, both rational and emotional. A detailed description of the study and interpretation of the results will be presented in the full text.; Il testo presenta un’analisi qualitativa di 30 dichiarazioni rilasciate da giovani (di età compresa tra i 19 e i 27 anni), studenti di discipline umanistiche presso l’Università Jagellonica di Cracovia (Polonia), riguardo ai cambiamenti in atto dovuti alle nuove tecnologie. I risultati dell’indagine, integrati da interviste in profondità, offrono interessanti conclusioni sulle strategie adottate dai partecipanti nell’affrontare le sfide poste dal crescente utilizzo dell’intelligenza artificiale in diversi ambiti della vita, sia individuale sia collettiva. Paure, speranze, ottimismo e pessimismo — con intensità variabili — si intrecciano nelle dichiarazioni dei rispondenti, trovando differenti giustificazioni, sia di natura razionale sia emotiva. Una descrizione dettagliata dello studio e l’interpretazione dei risultati saranno presentate nel testo completo.
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<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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