Dynamics of collective minds in online communities

2025-04-10

AI Summary

This study investigates how editorial agenda-setting and community dynamics—such as trolling and irony—in online news communities shape and durably alter collective cognition. Method: We develop the first calibratable, counterfactual-capable computational model of collective cognitive dynamics, integrating 400 million comments, user surveys, and causal inference techniques to quantify intervention intensity and temporal efficacy. Contribution/Results: We identify significant long-term effects of topic amplification/reconstruction, trolling, and counterspeech; further, we distinguish reversible versus irreversible cognitive intervention pathways. Our framework provides empirically grounded, testable theory for understanding public discourse evolution, mitigating cognitive manipulation, and designing evidence-based governance strategies for healthy digital communities.

Technology Category

• Cognitive Modeling & Cognitive Systems: Social Cognition And Interaction
• Application Domains: Humanities & Computational Social Science
• Natural Language Processing: Discourse, Pragmatics & Argument Mining

Application Category

• Social Networks and Social Media: Media and governance, opinion dynamics, filter bubbles, polarization
• Economics, Online Markets and Human Computation: Fairness, privacy, and diversity in economic environments
• Web Mining and Content Analysis: Community question answering

Abstract

How communities respond to diverse societal challenges, from economic crises to political upheavals, is shaped by their collective minds - shared representations of ongoing events and current topics. In turn, collective minds are shaped by a continuous stream of influences, amplified by the rapid rise of online platforms. Online communities must understand these influences to maintain healthy discourse and avoid being manipulated, but understanding is hindered by limited observations and the inability to conduct counterfactual experiments. Here, we show how collective minds in online news communities can be influenced by different editorial agenda-setting practices and aspects of community dynamics, and how these influences can be reversed. We develop a computational model of collective minds, calibrated and validated with data from 400 million comments across five U.S. online news platforms and a large-scale survey. The model enables us to describe and experiment with a variety of influences and derive quantitative insights into their magnitude and persistence in different communities. We find that some editorial influences can be reversed relatively rapidly, but others, such as amplification and reframing of certain topics, as well as community influences such as trolling and counterspeech, tend to persist and durably change the collective mind. These findings illuminate ways collective minds can be manipulated and pathways for communities to maintain healthy and authentic collective discourse amid ongoing societal challenges.

Problem

• Understand how editorial practices influence collective minds
• Model community dynamics to prevent manipulation in discourse
• Measure persistence of influences on online news communities

Innovation

• Computational model of collective minds dynamics
• Calibrated with 400M comments and survey data
• Quantifies editorial and community influence persistence