Papers › RICo: Reddit ideological communities

RICo: Reddit ideological communities

5 Jun 2024Online Social Networks and Media 2024 6archive 2025-07-28

Kamalakkannan Ravi, Adan Ernesto Vela

The main objective of our research is to gain a comprehensive understanding of the relationship between language usage within different communities and delineating the ideological narratives. We focus specifically on utilizing Natural Language Processing techniques to identify underlying narratives in the coded or suggestive language employed by non-normative communities associated with targeted violence. Earlier studies addressed the detection of ideological affiliation through surveys, user studies, and a limited number based on the content of text articles, which still require label curation. Previous work addressed label curation by using ideological subreddits (r/Liberal and r/Conservative for Liberal and Conservative classes) to label the articles shared on those subreddits according to their prescribed ideologies, albeit with a limited dataset. Building upon previous work, we use subreddit ideologies to categorize shared articles. In addition to the conservative and liberal classes, we introduce a new category called “Restricted” which encompasses text articles shared in subreddits that are restricted, privatized, or banned, such as r/TheDonald. The “Restricted” class encompasses posts tied to violence, regardless of conservative or liberal affiliations. Additionally, we augment our dataset with text articles from self-identified subreddits like r/progressive and r/askaconservative for the liberal and conservative classes, respectively. This results in an expanded dataset of 377,144 text articles, consisting of 72,488 liberal, 79,573 conservative, and 225,083 restricted class articles. Our goal is to analyze language variances in different ideological communities, investigate keyword relevance in labeling article orientations, especially in unseen cases (922,522 text articles), and delve into radicalized communities, conducting thorough analysis and interpretation of the results.

PaperPDFCode

Code

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Tasks

ArticlesNews ClassificationNews GenerationNews RecommendationPolitical Salient Issue Orientation DetectionText ClassificationTopic Models

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
News Classification Reddit Ideological and Extreme Bias Dataset SVM weighted-F1 score 79.1 #1 of 7 Archive leaderboard report
News Classification Reddit Ideological and Extreme Bias Dataset ULMFit weighted-F1 score 76.8 #2 of 7 Archive leaderboard report
News Classification Reddit Ideological and Extreme Bias Dataset Longformer weighted-F1 score 76.47 #3 of 7 Archive leaderboard report
News Classification Reddit Ideological and Extreme Bias Dataset GPT-2 weighted-F1 score 76.43 #4 of 7 Archive leaderboard report
News Classification Reddit Ideological and Extreme Bias Dataset RoBERTa weighted-F1 score 75.2 #5 of 7 Archive leaderboard report
News Classification Reddit Ideological and Extreme Bias Dataset fastText weighted-F1 score 73.44 #6 of 7 Archive leaderboard report
News Classification Reddit Ideological and Extreme Bias Dataset LightGBM weighted-F1 score 73.06 #7 of 7 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

AWD-LSTMActivation RegularizationAdamAdamWAttentionAttention DropoutBERTBPECosine AnnealingDense ConnectionsDiscriminative Fine-TuningDropConnectDropoutEmbedding DropoutFocusGPT-2LSTMLayer NormalizationLinear LayerLinear Warmup With Cosine AnnealingLinear Warmup With Linear DecayLongformerMulti-Head AttentionResidual ConnectionRoBERTaSVMSigmoid ActivationSlanted Triangular Learning RatesSoftmaxTanh ActivationTemporal Activation RegularizationULMFiTVariational DropoutWeight DecayWeight TyingWordPiecefastText

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections