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 (HCI)

Discipline: Artificial Intelligence 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