# Unveiling Affective Polarization Trends in Parliamentary Proceedings

arXiv: https://arxiv.org/abs/2512.05231 · HTML: https://mlsanity.com/paper/2512.05231/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 22 of its 78 references that are in the map.
- First posted on arXiv 4 Dec 2025.

## Builds on (most cited first, 22 of 22)

- [Unsupervised Cross-lingual Representation Learning at Scale](https://mlsanity.com/paper/1911.02116/) (2019)
- [SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation](https://mlsanity.com/paper/1708.00055/) (2017)
- [Multilingual E5 Text Embeddings: A Technical Report](https://mlsanity.com/paper/2402.05672/) (2024)
- [Crowdsourcing a Word-Emotion Association Lexicon](https://mlsanity.com/paper/1308.6297/) (2013)
- [EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis](https://mlsanity.com/paper/2205.01996/) (2022)
- [Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings](https://mlsanity.com/paper/1904.01596/) (2019)
- [NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets](https://mlsanity.com/paper/1308.6242/) (2013)
- [AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With](https://mlsanity.com/paper/2104.04052/) (2021)
- [NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias](https://mlsanity.com/paper/2204.04902/) (2022)
- [Dimensional Emotion Detection from Categorical Emotion](https://mlsanity.com/paper/1911.02499/) (2019)
- [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://mlsanity.com/paper/2308.16687/) (2023)
- [Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All](https://mlsanity.com/paper/2211.15199/) (2022)
- [Affective Polarization and Dynamics of Information Spread in Online Networks](https://mlsanity.com/paper/2310.18553/) (2023)
- [Exploration of Gender Differences in COVID-19 Discourse on Reddit](https://mlsanity.com/paper/2008.05713/) (2020)
- [Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage](https://mlsanity.com/paper/2011.00335/) (2020)
- [The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings](https://mlsanity.com/paper/2405.18115/) (2024)
- [Cross-National Measurement of Polarization in Political Discourse: Analyzing floor debate in the U.S. and the Japanese legislatures](https://mlsanity.com/paper/1711.02977/) (2017)
- [United States Politicians' Tone Became More Negative with 2016 Primary Campaigns](https://mlsanity.com/paper/2207.08112/) (2022)
- [Tracking Sentiment in Mail: How Genders Differ on Emotional Axes](https://mlsanity.com/paper/1309.6347/) (2013)
- [Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination](https://mlsanity.com/paper/2401.05254/) (2024)
- [A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media](https://mlsanity.com/paper/2404.07036/) (2024)
- [Knesset-DictaBERT: A Hebrew Language Model for Parliamentary Proceedings](https://mlsanity.com/paper/2407.20581/) (2024)

## Built on by (most cited first, 1 of 1)

- [When Words Divide: Diachronic Ideological Polarization in Political Discourse on Social Media](https://mlsanity.com/paper/2608.01176/) (2026)

## Abstract (arXiv)

Recent years have seen an increase in polarized discourse worldwide, on various platforms. We propose a novel method for quantifying polarization, based on the emotional style of the discourse rather than on differences in ideological stands. Using measures of Valence, Arousal and Dominance, we detect signals of emotional discourse and use them to operationalize the concept of affective polarization. Applying this method to a recently released corpus of proceedings of the Knesset, the Israeli parliament (in Hebrew), we find that the emotional style of members of government differs from that of opposition members; and that the level of affective polarization, as reflected by this style, is significantly increasing with time.