research-article

Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations

Authors:

Eshwar Chandrasekharan,

David JurgensAuthors Info & Claims

WWW '21: Proceedings of the Web Conference 2021

Pages 1134 - 1145

https://doi.org/10.1145/3442381.3450122

Published: 03 June 2021 Publication History

Abstract

Online conversations can go in many directions: some turn out poorly due to antisocial behavior, while others turn out positively to the benefit of all. Research on improving online spaces has focused primarily on detecting and reducing antisocial behavior. Yet we know little about positive outcomes in online conversations and how to increase them—is a prosocial outcome simply the lack of antisocial behavior or something more? Here, we examine how conversational features lead to prosocial outcomes within online discussions. We introduce a series of new theory-inspired metrics to define prosocial outcomes such as mentoring and esteem enhancement. Using a corpus of 26M Reddit conversations, we show that these outcomes can be forecasted from the initial comment of an online conversation, with the best model providing a relative 24% improvement over human forecasting performance at ranking conversations for predicted outcome. Our results indicate that platforms can use these early cues in their algorithmic ranking of early conversations to prioritize better outcomes.

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cover image ACM Conferences

WWW '21: Proceedings of the Web Conference 2021

April 2021

4054 pages

ISBN:9781450383127

DOI:10.1145/3442381

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Jure Leskovec
Stanford
,
Marko Grobelnik
Jožef Stefan Institute
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Google
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Jie Tang
Tsinghua University
,
Leila Zia
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