Paper by Justine Zhang et al: “One of the main challenges online social systems face is the prevalence of antisocial behavior, such as harassment and personal attacks. In this work, we introduce the task of predicting from the very start of a conversation whether it will get out of hand. As opposed to detecting undesirable behavior after the fact, this task aims to enable early, actionable prediction at a time when the conversation might still be salvaged.
To this end, we develop a framework for capturing pragmatic devices—such as politeness strategies and rhetorical prompts—used to start a conversation, and analyze their relation to its future trajectory. Applying this framework in a controlled setting, we demonstrate the feasibility of detecting early warning signs of antisocial behavior in online discussions…. (More)”.
Conversations Gone Awry: Detecting Early Signs of Conversational Failure
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in your inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
DATA
Data Collaboratives
Cultivating Collective Impact: A Playbook for Building Community Data Capacity
Posted in August 31, 2026 by Stefaan Verhulst
Citizen Engagement
PEOPLE
Do citizens care more about deliberative values than electoral democracy? An analysis of public attitudes to democratic norm violations in four countries.
Posted in August 31, 2026 by Stefaan Verhulst
Democracy
INSTITUTIONAL INNOVATION
How to Save Science
Posted in August 31, 2026 by Stefaan Verhulst