# #RoeOverturned: Twitter Dataset on the Abortion Rights Controversy

arXiv: https://arxiv.org/abs/2302.01439 · HTML: https://mlsanity.com/paper/2302.01439/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Feb 2023.

## Built on by (most cited first, 14 of 14)

- [Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation](https://mlsanity.com/paper/2402.16333/) (2024)
- [Whose Emotions and Moral Sentiments Do Language Models Reflect?](https://mlsanity.com/paper/2402.11114/) (2024)
- [Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox](https://mlsanity.com/paper/2312.10580/) (2023)
- [EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation](https://mlsanity.com/paper/2505.06904/) (2025)
- [Polarized Online Discourse on Abortion: Frames and Hostile Expressions among Liberals and Conservatives](https://mlsanity.com/paper/2311.16831/) (2023)
- [Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets](https://mlsanity.com/paper/2312.11895/) (2023)
- [Reddit After Roe: A Computational Analysis of Abortion Narratives and Barriers in the Wake of Dobbs](https://mlsanity.com/paper/2603.22566/) (2026)
- [Deep Dive into the Language of International Relations: NLP-based Analysis of UNESCO's Summary Records](https://mlsanity.com/paper/2307.16573/) (2023)
- [SoMeR: Multi-View User Representation Learning for Social Media](https://mlsanity.com/paper/2405.05275/) (2024)
- [Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis](https://mlsanity.com/paper/2409.05292/) (2024)
- [YT-30M: A multi-lingual multi-category dataset of YouTube comments](https://mlsanity.com/paper/2412.03465/) (2024)
- [Gendered Divides in Online Discussions about Reproductive Rights](https://mlsanity.com/paper/2507.05443/) (2025)
- [TWeddit : A Dataset of Triggering Stories Predominantly Shared by Women on Reddit](https://mlsanity.com/paper/2601.11819/) (2026)
- [The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events](https://mlsanity.com/paper/2605.12452/) (2026)

## Abstract (arXiv)

On June 24, 2022, the United States Supreme Court overturned landmark rulings made in its 1973 verdict in Roe v. Wade. The justices by way of a majority vote in Dobbs v. Jackson Women's Health Organization, decided that abortion wasn't a constitutional right and returned the issue of abortion to the elected representatives. This decision triggered multiple protests and debates across the US, especially in the context of the midterm elections in November 2022. Given that many citizens use social media platforms to express their views and mobilize for collective action, and given that online debate provides tangible effects on public opinion, political participation, news media coverage, and the political decision-making, it is crucial to understand online discussions surrounding this topic. Toward this end, we present the first large-scale Twitter dataset collected on the abortion rights debate in the United States. We present a set of 74M tweets systematically collected over the course of one year from January 1, 2022 to January 6, 2023.
