Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Luceri, Luca"'
Approximately 50% of tweets in X's user timelines are personalized recommendations from accounts they do not follow. This raises a critical question: what political content are users exposed to beyond their established networks, and how might this in
Externí odkaz:
http://arxiv.org/abs/2411.01852
Truth Social, launched as a social media platform with a focus on free speech, has become a prominent space for political discourse, attracting a user base with diverse, yet often conservative, viewpoints. As an emerging platform with minimal content
Externí odkaz:
http://arxiv.org/abs/2411.01330
Autor:
Balasubramanian, Ashwin, Zou, Vito, Narayana, Hitesh, You, Christina, Luceri, Luca, Ferrara, Emilio
In this paper, we introduce the first release of a large-scale dataset capturing discourse on $\mathbb{X}$ (a.k.a., Twitter) related to the upcoming 2024 U.S. Presidential Election. Our dataset comprises 22 million publicly available posts on X.com,
Externí odkaz:
http://arxiv.org/abs/2411.00376
With its lenient moderation policies and long-standing associations with potentially unlawful activities, Telegram has become an incubator for problematic content, frequently featuring conspiratorial, hyper-partisan, and fringe narratives. In the pol
Externí odkaz:
http://arxiv.org/abs/2410.23638
Coordinated information operations remain a persistent challenge on social media, despite platform efforts to curb them. While previous research has primarily focused on identifying these operations within individual platforms, this study shows that
Externí odkaz:
http://arxiv.org/abs/2410.22716
Information Operations (IOs) pose a significant threat to the integrity of democratic processes, with the potential to influence election-related online discourse. In anticipation of the 2024 U.S. presidential election, we present a study aimed at un
Externí odkaz:
http://arxiv.org/abs/2409.15402
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
This paper documents our release of a large-scale data collection of TikTok posts related to the upcoming 2024 U.S. Presidential Election. Our current data comprises 1.8 million videos published between November 1, 2023, and May 26, 2024. Its explora
Externí odkaz:
http://arxiv.org/abs/2407.01471
Understanding susceptibility to online influence is crucial for mitigating the spread of misinformation and protecting vulnerable audiences. This paper investigates susceptibility to influence within social networks, focusing on the differential effe
Externí odkaz:
http://arxiv.org/abs/2406.11553
Social media platforms actively moderate content glorifying harmful behaviors like eating disorders, which include anorexia and bulimia. However, users have adapted to evade moderation by using coded hashtags. Our study investigates the prevalence of
Externí odkaz:
http://arxiv.org/abs/2404.15457