Record Details

Replication Data for: Toxic Speech and Limited Demand for Content Moderation on Social Media

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Replication Data for: Toxic Speech and Limited Demand for Content Moderation on Social Media
 
Identifier https://doi.org/10.7910/DVN/PPVWIG
 
Creator Pradel, Franziska
Zilinsky, Jan
Kosmidis, Spyros
Theocharis, Yannis
 
Publisher Harvard Dataverse
 
Description When is speech on social media toxic enough to warrant content moderation? Platforms impose limits on what can be posted online, but also rely on users' reports of potentially harmful content. Yet, we know little about what users consider inadmissible to public discourse and what measures they wish to see implemented. Building on past work, we conceptualize three variants of toxic speech: incivility, intolerance, and violent threats. We present results from two studies with pre-registered randomized experiments (Study 1, N=5130; Study 2, N=3734) to examine how these variants causally affect users' content moderation preferences. We find that while both the severity of toxicity and the target of the attack matter, the demand for content moderation of toxic speech is limited. We discuss implications for the study of toxicity and content moderation as an emerging area of research in political science with critical implications for platforms, policymakers, and democracy more broadly.
 
Subject Social Sciences
 
Date 2024-01-24
 
Contributor Pradel, Franziska