4 papers
The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions
Aldo Cerulli, Lorenzo Cima, Benedetta Tessa +2
Online platforms rely on moderation interventions to curb harmful behavior such as hate speech, toxicity, and the spread of mis- and disinformation. Yet research on the effects and…
Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance
Serena Tardelli, Lorenzo Alvisi, Lorenzo Cima +2
Emoji reactions are a frequently used feature of messaging platforms, yet their communicative role remains understudied. Prior work on emojis has focused predominantly on in-text u…
From Toxicity to Conformity: Adaptive user behavior to social norms in Telegram communities
Lorenzo Alvisi, Victoria Popa, Guglielmo Cola +2
Toxic and antisocial user behavior on social media platforms has received considerable scholarly attention due to its detrimental effects on society. This study takes a holistic pe…
Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speech
Lorenzo Alvisi, Serena Tardelli, Maurizio Tesconi
Telegram has become a major space for political discourse and alternative media. However, its lack of moderation allows misinformation, extremism, and toxicity to spread. While pri…