Zobrazeno 1 - 10
of 2 437
pro vyhledávání: '"Pierri, P."'
Autor:
DeVerna, Matthew R., Pierri, Francesco, Aiyappa, Rachith, Pacheco, Diogo, Bryden, John, Menczer, Filippo
To analyze the flow of information online, experts often rely on platform-provided data from social media companies, which typically attribute all resharing actions to an original poster. This obscures the true dynamics of how information spreads onl
Externí odkaz:
http://arxiv.org/abs/2410.21554
Large Language Models (LLMs) and search engines have the potential to perpetuate biases and stereotypes by amplifying existing prejudices in their training data and algorithmic processes, thereby influencing public perception and decision-making. Whi
Externí odkaz:
http://arxiv.org/abs/2408.15696
Autor:
Sahneh, Erfan Samieyan, Nogara, Gianluca, DeVerna, Matthew R., Liu, Nick, Luceri, Luca, Menczer, Filippo, Pierri, Francesco, Giordano, Silvia
Bluesky is a Twitter-like decentralized social media platform that has recently grown in popularity. After an invite-only period, it opened to the public worldwide on February 6th, 2024. In this paper, we provide a longitudinal analysis of user activ
Externí odkaz:
http://arxiv.org/abs/2408.03146
TikTok has skyrocketed in popularity over recent years, especially among younger audiences, thanks to its viral trends and social challenges. However, concerns have been raised about the potential of this platform to promote and amplify online harmfu
Externí odkaz:
http://arxiv.org/abs/2407.12545
The behavior of Large Language Models (LLMs) as artificial social agents is largely unexplored, and we still lack extensive evidence of how these agents react to simple social stimuli. Testing the behavior of AI agents in classic Game Theory experime
Externí odkaz:
http://arxiv.org/abs/2406.13605
Datasets capturing cultural norms are essential for developing globally aware AI systems. We present Persian Social Norms (PSN) a novel dataset of over 1.7k Persian social norms, including environments, contexts, and cultural labels, alongside Englis
Externí odkaz:
http://arxiv.org/abs/2406.09123
Warning: This paper contains content that may be offensive or upsetting. Online search engine auto-completions make it faster for users to search and access information. However, they also have the potential to reinforce and promote stereotypes and n
Externí odkaz:
http://arxiv.org/abs/2405.01917
TikTok is a social media platform that has gained immense popularity over the last few years, particularly among younger demographics, due to the viral trends and challenges shared worldwide. The recent release of a free Research API opens the door t
Externí odkaz:
http://arxiv.org/abs/2402.13855
Autor:
DeVerna, Matthew R., Pierri, Francesco, Ahn, Yong-Yeol, Fortunato, Santo, Flammini, Alessandro, Menczer, Filippo
Understanding how misinformation affects the spread of disease is crucial for public health, especially given recent research indicating that misinformation can increase vaccine hesitancy and discourage vaccine uptake. However, it is difficult to inv
Externí odkaz:
http://arxiv.org/abs/2402.11351
Global events like wars and pandemics can intensify online discussions, fostering information sharing and connection among individuals. However, the divisive nature of such events may lead to polarization within online communities, shaping the dynami
Externí odkaz:
http://arxiv.org/abs/2402.04999