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Universit Degli Studi Di Milano Papers

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Universit Degli Studi Di Milano

Universit Degli Studi Di Milano: Research Institution — Prolific Citations Library

Browse 2 peer-reviewed papers from Universit Degli Studi Di Milano spanning Social media, Misinformation (2025). Research powered by Prolific's high-quality participant data.

This page lists 2 peer-reviewed papers from researchers at Universit Degli Studi Di Milano in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

Tokenization of social media engagements increases the sharing of false (and other) news but penalization moderates it

Authors: M Alizadeh, E Hoes, F Gilardi

Year: 2025

Published in: Scientific Reports, 2023 - nature.com

Institution: Department of Marketing, University of Amsterdam, Department of Social Sciences, Università Degli Studi di Milano, Department of Political Science and International Relations, Università Degli Studi di Milano

Research Area: Social media, Misinformation, Computational Social Science

Discipline: Computational Social Science

Token-based incentives for social media engagement increase the sharing of misinformation, but implementing penalties for objectionable content can reduce this trend without fully eliminating it.

Methods: Survey experiment analyzing the impact of hypothetical token rewards and penalties on user willingness to share different types of news content.

Key Findings: Effect of token-based incentives and penalties on user engagement and the willingness to share misinformation.

DOI: https://doi.org/10.1038/s41598-023-40716-2

Citations: 20
Humane Artificial Intelligence: Psychological, Social, and Ethical Dimensions

Authors: G Riva, BK Wiederhold, P Cipresso

Year: 2025

Published in: ... , Behavior, and Social ..., 2025 - liebertpub.com

Institution: Università Cattolica del Sacro Cuore, University of Genova, Università degli Studi di Milano, Università di Catania

Research Area: AI Ethics, Social and Psychological Dimensions of Artificial Intelligence, Human-Computer Interaction

Discipline: AI Ethics, Psychology, Sociology

The paper addresses the psychological, social, and ethical challenges of integrating AI into daily life and emphasizes the need to design AI systems that uphold human values and well-being.

Methods: The paper conducts an interdisciplinary review of existing research and literature to analyze the psychological, social, and ethical dimensions of AI deployment.

Key Findings: The impact of AI on human behavior, decision-making, and societal values.

DOI: https://doi.org/10.1089/cyber.2025.0202

Citations: 3