short-paper
Authors: Ahmed Soliman, Jan Hafer, Florian Lemmerich
HT '19: Proceedings of the 30th ACM Conference on Hypertext and Social Media
Pages 259 - 263
Published: 12 September 2019 Publication History
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Abstract
The social news aggregator Reddit is among the most popular websites on the internet. Many online users use the platform to anonymously share and discuss (mostly US-centric) political content. In this ongoing work, we perform a comparative large-scale analysis of political subcommunities (subreddits) on Reddit using a dataset of more than 100 million posts from around 5 million users. In particular, we investigate these communities with respect to (1) the content posted, (2) their relationships to other subreddits, and (3) the distribution of attention received in these subcommunities. We find that left-leaning communities use derogatory language less often than right-leaning communities, but are more focused on news sources reflecting their own political leaning. We also observe that right-leaning communities are more interconnected with right-leaning subreddits on European politics. Finally, the attention of individual submissions (as measured by their number of up-votes or comments received) is spread more evenly in right-leaning communities.The social news aggregator Reddit is among the most popular websites on the internet. Many online users use the platform to anonymously share and discuss (mostly US-centric) political content. In this ongoing work, we perform a comparative large-scale analysis of political subcommunities (subreddits) on Reddit using a dataset of more than 100 million posts from around 5 million users. In particular, we investigate these communities with respect to (1) the content posted, (2) their relationships to other subreddits, and (3) the distribution of attention received in these subcommunities. We find that left-leaning communities use derogatory language less often than right-leaning communities, but are more focused on news sources reflecting their own political leaning. We also observe that right-leaning communities are more interconnected with right-leaning subreddits on European politics. Finally, the attention of individual submissions (as measured by their number of up-votes or comments received) is spread more evenly in right-leaning communities.
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https://dl.acm.org/doi/10.1145/3641000
- Efstratiou AChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Deliberate Exposure to Opposing Views and Its Association with Behavior and Rewards on Political CommunitiesProceedings of the ACM on Web Conference 202410.1145/3589334.3645375(2347-2358)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645375
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Index Terms
A Characterization of Political Communities on Reddit
Information systems
World Wide Web
Web mining
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Published In
HT '19: Proceedings of the 30th ACM Conference on Hypertext and Social Media
September 2019
326 pages
ISBN:9781450368858
DOI:10.1145/3342220
- General Chairs:
- Claus Atzenbeck
Hof University, Germany
, - Jessica Rubart
OWL University of Applied Sciences and Arts, Germany
, - Program Chair:
- David E. Millard
University of Southampton, UK
Copyright © 2019 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [emailprotected].
Sponsors
- SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 12 September 2019
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HT '19
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- SIGWEB
- SIGCHI
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HT '19 Paper Acceptance Rate 20 of 68 submissions, 29%;
Overall Acceptance Rate 378 of 1,158 submissions, 33%
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View all
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https://dl.acm.org/doi/10.1145/3641000
- Efstratiou AChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Deliberate Exposure to Opposing Views and Its Association with Behavior and Rewards on Political CommunitiesProceedings of the ACM on Web Conference 202410.1145/3589334.3645375(2347-2358)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645375
- Karjus ACuskley C(2024)Evolving linguistic divergence on polarizing social mediaHumanities and Social Sciences Communications10.1057/s41599-024-02922-911:1Online publication date: 15-Mar-2024
- Bonifazi GCorradini EUrsino DVirgili L(2023)Modeling, Evaluating, and Applying the eWoM Power of Reddit PostsBig Data and Cognitive Computing10.3390/bdcc70100477:1(47)Online publication date: 9-Mar-2023
- Sawicki JGanzha MPaprzycki MWatanobe Y(2023)Reddit CrosspostNet—Studying Reddit Communities with Large-Scale Crosspost Graph NetworksAlgorithms10.3390/a1609042416:9(424)Online publication date: 4-Sep-2023
- Henn TPosegga O(2023)Attention-grabbing news coverage: Violent images of the Black Lives Matter movement and how they attract user attention on RedditPLOS ONE10.1371/journal.pone.028896218:8(e0288962)Online publication date: 9-Aug-2023
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- Suk JZhang YYue ZWang RDong XYang DLian R(2023)When the Personal Becomes Political: Unpacking the Dynamics of Sexual Violence and Gender Justice Discourses Across Four Social Media PlatformsCommunication Research10.1177/0093650223115414650:5(610-632)Online publication date: 18-Apr-2023
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