Related papers: A Longitudinal Study of Italian and French Reddit Conversations Around the Russian Invasion of Ukraine

A Longitudinal Study of Italian and French Reddit Conversations Around the Russian Invasion of Ukraine

URL: http://arxiv.org/abs/2402.04999v2
Date: Mon, 19 Feb 2024 09:31:50 GMT
Title: A Longitudinal Study of Italian and French Reddit Conversations Around the Russian Invasion of Ukraine
Authors: Francesco Corso, Giuseppe Russo, Francesco Pierri
Abstract summary: This study delves into the conversations within the largest Italian and French Reddit communities, specifically examining how the Russian invasion of Ukraine affected online interactions. We use a dataset with over 3 million posts (i.e., comments and submissions) to describe the patterns of moderation activity. We found changes in moderators' behavior, who became more active during the first month of the war.
Score: 1.002138130221506
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Global events like wars and pandemics can intensify online discussions, fostering information sharing and connection among individuals. However, the divisive nature of such events may lead to polarization within online communities, shaping the dynamics of online interactions. Our study delves into the conversations within the largest Italian and French Reddit communities, specifically examining how the Russian invasion of Ukraine affected online interactions. We use a dataset with over 3 million posts (i.e., comments and submissions) to (1) describe the patterns of moderation activity and (2) characterize war-related discussions in the subreddits. We found changes in moderators' behavior, who became more active during the first month of the war. Moreover, we identified a connection between the daily sentiment of comments and the prevalence of war-related discussions. These discussions were not only more negative and toxic compared to non-war-related ones but also did not involve a specific demographic group. Our research reveals that there is no tendency for users with similar characteristics to interact more. Overall, our study reveals how the war in Ukraine had a negative influence on daily conversations in the analyzed communities. This sheds light on how users responded to this significant event, providing insights into the dynamics of online discussions during events of global relevance.

Related papers

Grounding Toxicity in Real-World Events across Languages [2.5398014196797605]
Events in the real world, like elections or conflicts, can initiate and escalate toxic behavior online. We gathered Reddit data comprising 4.5 million comments from 31 thousand posts in six different languages. We observe significant variations in toxicity, negative sentiment, and emotion expressions across different events and language communities.
arXiv Detail & Related papers (2024-05-22T15:38:53Z)
Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter [4.62503518282081]
Social media users drive the spread of misinformation online by sharing posts that include erroneous information or commenting on controversial topics. This work explores how conversations around misinformation are mediated through language use.
arXiv Detail & Related papers (2024-04-24T15:37:12Z)
Echo Chambers within the Russo-Ukrainian War: The Role of Bipartisan Users [26.643834593780007]
We study the presence of echo chambers on Twitter related to the Russo-Ukrainian war. We identify an important subset of bipartisan users who vary their opinions during the invasion. We conclude by discussing their importance and how they can improve the quality of discourse surrounding the war.
arXiv Detail & Related papers (2023-11-16T14:39:37Z)
Highly engaging events reveal semantic and temporal compression in online community discourse [0.0]
We leverage Reddit conversation data, exploiting its community-based structure, to elucidate how offline events influence online user interactions and behavior. Online conversations become repetitive with a more limited vocabulary, develop at a faster pace and feature heightened emotions. Users become more active and they exchange information with a growing audience, despite using a less rich vocabulary and repetitive messages.
arXiv Detail & Related papers (2023-06-26T14:38:07Z)
Analyzing Norm Violations in Live-Stream Chat [49.120561596550395]
We study the first NLP study dedicated to detecting norm violations in conversations on live-streaming platforms. We define norm violation categories in live-stream chats and annotate 4,583 moderated comments from Twitch. Our results show that appropriate contextual information can boost moderation performance by 35%.
arXiv Detail & Related papers (2023-05-18T05:58:27Z)
Non-Polar Opposites: Analyzing the Relationship Between Echo Chambers and Hostile Intergroup Interactions on Reddit [66.09950457847242]
We study the activity of 5.97M Reddit users and 421M comments posted over 13 years. We create a typology of relationships between political communities based on whether their users are toxic to each other.
arXiv Detail & Related papers (2022-11-25T22:17:07Z)
News consumption and social media regulations policy [70.31753171707005]
We analyze two social media that enforced opposite moderation methods, Twitter and Gab, to assess the interplay between news consumption and content regulation. Our results show that the presence of moderation pursued by Twitter produces a significant reduction of questionable content. The lack of clear regulation on Gab results in the tendency of the user to engage with both types of content, showing a slight preference for the questionable ones which may account for a dissing/endorsement behavior.
arXiv Detail & Related papers (2021-06-07T19:26:32Z)
Debate on Online Social Networks at the Time of COVID-19: An Italian Case Study [4.176752121302988]
We analyze how the interaction patterns around popular influencers in Italy changed during the first six months of 2020. We collected a large dataset for this group of public figures, including more than 54 million comments on over 140 thousand posts. We also analyze the user sentiment through the psycholinguistic properties of comments, and the results testified the rapid boom and disappearance of topics related to the pandemic.
arXiv Detail & Related papers (2021-06-02T08:25:19Z)
Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure [53.77234444565652]
We identify the responding relations in the conversation discourse, which link response utterances to their initiations. We propose a model to learn latent topics and discourse in word distributions, and predict pairwise initiation-response links. Experimental results on both English and Chinese conversations show that our model significantly outperforms the previous state of the arts.
arXiv Detail & Related papers (2021-04-17T17:46:00Z)
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)
Echo Chambers on Social Media: A comparative analysis [64.2256216637683]
We introduce an operational definition of echo chambers and perform a massive comparative analysis on 1B pieces of contents produced by 1M users on four social media platforms. We infer the leaning of users about controversial topics and reconstruct their interaction networks by analyzing different features. We find support for the hypothesis that platforms implementing news feed algorithms like Facebook may elicit the emergence of echo-chambers.
arXiv Detail & Related papers (2020-04-20T20:00:27Z)

This list is automatically generated from the titles and abstracts of the papers in this site.