Dynamics of collective minds in online communities
- URL: http://arxiv.org/abs/2504.08152v1
- Date: Thu, 10 Apr 2025 22:22:40 GMT
- Title: Dynamics of collective minds in online communities
- Authors: Seungwoong Ha, Henrik Olsson, Kresimir Jaksic, Max Pellert, Mirta Galesic,
- Abstract summary: We show how collective minds in online news communities can be influenced by different editorial agenda-setting practices and aspects of community dynamics.<n>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.
- Score: 1.747623282473278
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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.
Related papers
- Echo-chambers and Idea Labs: Communication Styles on Twitter [51.13560635563004]
This paper investigates the communication styles and structures of Twitter (X) communities within the vaccination context.
By shedding light on the nuanced nature of communication within social networks, this study emphasizes the significance of understanding the diversity of perspectives within online communities.
arXiv Detail & Related papers (2024-03-28T13:55:51Z) - Narratives of Collective Action in YouTube's Discourse on Veganism [0.0]
We use natural language processing to operationalize a theoretical framework of moral narratives specific to the vegan movement.
Our analysis reveals that several narrative types, as defined by the theory, are empirically present in the data.
Video narratives advocating social fight, whether through protest or through efforts to convert others to the cause, are associated with a stronger sense of collective action in the respective comments.
arXiv Detail & Related papers (2024-01-17T13:44:36Z) - Disinformation Echo-Chambers on Facebook [0.27195102129095]
This chapter introduces a computational method designed to identify coordinated inauthentic behavior within Facebook groups.
The method focuses on analyzing posts, URLs, and images, revealing that certain Facebook groups engage in orchestrated campaigns.
These groups simultaneously share identical content, which may expose users to repeated encounters with false or misleading narratives.
arXiv Detail & Related papers (2023-09-14T14:33:16Z) - With Flying Colors: Predicting Community Success in Large-scale
Collaborative Campaigns [2.487445341407889]
We study the correspondence between the effectiveness of a community, measured by its success level in a competitive online campaign, and the dynamics between its members.
To this end, we define a novel task: predicting the success level of online communities in Reddit's r/place.
arXiv Detail & Related papers (2023-07-18T21:43:37Z) - Drivers of social influence in the Twitter migration to Mastodon [4.742123770879715]
The migration of Twitter users to Mastodon following Elon Musk's acquisition presents a unique opportunity to study collective behavior.
We analyzed the social network and the public conversations of about 75,000 migrated users.
We find that the temporal trace of their migrations is compatible with a phenomenon of social influence.
arXiv Detail & Related papers (2023-05-30T14:19:02Z) - Flexible social inference facilitates targeted social learning when
rewards are not observable [58.762004496858836]
Groups coordinate more effectively when individuals are able to learn from others' successes.
We suggest that social inference capacities may help bridge this gap, allowing individuals to update their beliefs about others' underlying knowledge and success from observable trajectories of behavior.
arXiv Detail & Related papers (2022-12-01T21:04:03Z) - Adherence to Misinformation on Social Media Through Socio-Cognitive and
Group-Based Processes [79.79659145328856]
We argue that when misinformation proliferates, this happens because the social media environment enables adherence to misinformation.
We make the case that polarization and misinformation adherence are closely tied.
arXiv Detail & Related papers (2022-06-30T12:34:24Z) - This Must Be the Place: Predicting Engagement of Online Communities in a
Large-scale Distributed Campaign [70.69387048368849]
We study the behavior of communities with millions of active members.
We develop a hybrid model, combining textual cues, community meta-data, and structural properties.
We demonstrate the applicability of our model through Reddit's r/place a large-scale online experiment.
arXiv Detail & Related papers (2022-01-14T08:23:16Z) - Opinion dynamics in social networks: From models to data [0.0]
Opinions shape collective action, playing a role in democratic processes, the evolution of norms, and cultural change.
For decades, researchers in the social and natural sciences have tried to describe how shifting individual perspectives and social exchange lead to archetypal states of public opinion like consensus and polarization.
arXiv Detail & Related papers (2022-01-04T19:21:26Z) - Information Consumption and Social Response in a Segregated Environment:
the Case of Gab [74.5095691235917]
This work provides a characterization of the interaction patterns within Gab around the COVID-19 topic.
We find that there are no strong statistical differences in the social response to questionable and reliable content.
Our results provide insights toward the understanding of coordinated inauthentic behavior and on the early-warning of information operation.
arXiv Detail & Related papers (2020-06-03T11:34:25Z) - Interpretable Stochastic Block Influence Model: measuring social
influence among homophilous communities [4.563449647618151]
Decision-making on networks can be explained by both homophily and social influence.
Social influence can be reasoned through role theory, which indicates that the influences among individuals depend on their roles and the behavior of interest.
We propose a generative model named Block Influence Model and jointly analyze both the network formation and the behavioral influence within and between different communities.
arXiv Detail & Related papers (2020-06-01T15:49:22Z) - Quantifying the Vulnerabilities of the Online Public Square to Adversarial Manipulation Tactics [43.98568073610101]
We use a social media model to quantify the impacts of several adversarial manipulation tactics on the quality of content.
We find that the presence of influential accounts, a hallmark of social media, exacerbates the vulnerabilities of online communities to manipulation.
These insights suggest countermeasures that platforms could employ to increase the resilience of social media users to manipulation.
arXiv Detail & Related papers (2019-07-13T21:12:08Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.