mlsanityData to 7 Oct 2026

Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity

arXiv 2104.08829 ↗First posted 18 Apr 2021cs.CL cs.AI cs.SIcited by 9

Not on the map. Why?

Abstract (arXiv)

The increasing polarization of online political discourse calls for computational tools that automatically detect and monitor ideological divides in social media. We introduce a minimally supervised method that leverages the network structure of online discussion forums, specifically Reddit, to detect polarized concepts. We model polarization along the dimensions of salience and framing, drawing upon insights from moral psychology. Our architecture combines graph neural networks with structured sparsity learning and results in representations for concepts and subreddits that capture temporal ideological dynamics such as right-wing and left-wing radicalization.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 31 of its 83 references that are in the map. First posted on arXiv 18 Apr 2021.

Builds on

31 of 83 references.

References · 31

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2019A Comprehensive Survey on Graph Neural Networkscited by 2,906
  4. 2016Variational Graph Auto-Encoderscited by 1,373
  5. 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddingscited by 1,304
  6. 2018Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learningcited by 1,099
  7. 2020The Pushshift Reddit Datasetcited by 289
  8. 2016Diachronic Word Embeddings Reveal Statistical Laws of Semantic Changecited by 219
  9. 2019Gender Bias in Contextualized Word Embeddingscited by 203
  10. 2019Evaluating the Underlying Gender Bias in Contextualized Word Embeddingscited by 94
  11. 2020Graph signal processing for machine learning: A review and new perspectivescited by 73
  12. 2018Community Interaction and Conflict on the Webcited by 72
19 more
  1. 2016Learning the Number of Neurons in Deep Networkscited by 69
  2. 2019Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootingscited by 67
  3. 2018Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategiescited by 47
  4. 2021Modeling Framing in Immigration Discourse on Social Mediacited by 37
  5. 2020Moral Framing and Ideological Bias of Newscited by 29
  6. 2015Quantifying Controversy in Social Mediacited by 28
  7. 2018Multi-view Models for Political Ideology Detection of News Articlescited by 27
  8. 2020Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Mediacited by 27
  9. 2018SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentimentcited by 25
  10. 2020Dynamic Contextualized Word Embeddingscited by 20
  11. 2019Abusive Language Detection with Graph Convolutional Networkscited by 19
  12. 2021Structured Sparsity Inducing Adaptive Optimizers for Deep Learningcited by 17
  13. 2015Auto-Sizing Neural Networks: With Applications to n-gram Language Modelscited by 9
  14. 2018Extracting Inter-community Conflicts in Redditcited by 6
  15. 2015Ideological and Temporal Components of Network Polarization in Online Political Participatory Mediacited by 4
  16. 2019RNN Architecture Learning with Sparse Regularizationcited by 4
  17. 2020A Computational Analysis of Polarization on Indian and Pakistani Social Mediacited by 4
  18. 2019Political Discussions in Homogeneous and Cross-Cutting Communication Spacescited by 2
  19. 2020Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005-2017cited by 2

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 4; 2024: 1; 2025: 3.

9 papers.

  1. 2023Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collectioncited by 17
  2. 2023A Data Fusion Framework for Multi-Domain Morality Learningcited by 14
  3. 2023Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulationcited by 7
  4. 2025PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encodercited by 5
  5. 2023Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networkscited by 4
  6. 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideologycited by 1
  7. 2024STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Networkcited by 0
  8. 2025Visual moral inference and communicationcited by 0
  9. 2025TOPol: Capturing and Explaining Multidimensional Semantic Polarity Fields and Vectorscited by 0