# NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

arXiv: https://arxiv.org/abs/2102.04567 · HTML: https://mlsanity.com/paper/2102.04567/

## Key facts

- Cited by 29 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Feb 2021.

## Built on by (most cited first, 29 of 29)

- [A Survey on Automated Fact-Checking](https://mlsanity.com/paper/2108.11896/) (2021)
- [Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing](https://mlsanity.com/paper/2306.02052/) (2023)
- [Dataset of Fake News Detection and Fact Verification: A Survey](https://mlsanity.com/paper/2111.03299/) (2021)
- [Evaluation of Fake News Detection with Knowledge-Enhanced Language Models](https://mlsanity.com/paper/2204.00458/) (2022)
- [VLDBench Evaluating Multimodal Disinformation with Regulatory Alignment](https://mlsanity.com/paper/2502.11361/) (2025)
- [MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification](https://mlsanity.com/paper/2212.12061/) (2022)
- [Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking](https://mlsanity.com/paper/2404.18971/) (2024)
- [It's All in the Embedding! Fake News Detection Using Document Embeddings](https://mlsanity.com/paper/2304.07781/) (2023)
- [NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles](https://mlsanity.com/paper/2203.05659/) (2022)
- [Hidden Biases in Unreliable News Detection Datasets](https://mlsanity.com/paper/2104.10130/) (2021)
- [Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims](https://mlsanity.com/paper/2205.02596/) (2022)
- [Challenges and Considerations with Code-Mixed NLP for Multilingual Societies](https://mlsanity.com/paper/2106.07823/) (2021)
- [Towards Detecting Harmful Agendas in News Articles](https://mlsanity.com/paper/2302.00102/) (2023)
- [How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models](https://mlsanity.com/paper/2407.00369/) (2024)
- [Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models](https://mlsanity.com/paper/2410.18122/) (2024)
- [The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims](https://mlsanity.com/paper/2202.08901/) (2022)
- [Multiverse: Multilingual Evidence for Fake News Detection](https://mlsanity.com/paper/2211.14279/) (2022)
- [When it Rains, it Pours: Modeling Media Storms and the News Ecosystem](https://mlsanity.com/paper/2312.02118/) (2023)
- [When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation](https://mlsanity.com/paper/2604.21309/) (2026)
- [Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach](https://mlsanity.com/paper/2207.13500/) (2022)
- [Time-Aware Datasets are Adaptive Knowledgebases for the New Normal](https://mlsanity.com/paper/2211.12508/) (2022)
- [Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start](https://mlsanity.com/paper/2304.03414/) (2023)
- [Fine-grained Narrative Classification in Biased News Articles](https://mlsanity.com/paper/2512.03582/) (2025)
- [MINT -- Mainstream and Independent News Text Corpus](https://mlsanity.com/paper/2108.06249/) (2021)
- [Classification of Misinformation in New Articles using Natural Language Processing and a Recurrent Neural Network](https://mlsanity.com/paper/2210.13534/) (2022)
- [Continuously Reliable Detection of New-Normal Misinformation: Semantic Masking and Contrastive Smoothing in High-Density Latent Regions](https://mlsanity.com/paper/2301.07981/) (2023)
- [WarCov -- Large multilabel and multimodal dataset from social platform](https://mlsanity.com/paper/2406.10255/) (2024)
- [Dataset of News Articles with Provenance Metadata for Media Relevance Assessment](https://mlsanity.com/paper/2506.09847/) (2025)
- [The Tag is the Signal: URL-Agnostic Credibility Scoring for Messages on Telegram](https://mlsanity.com/paper/2601.13294/) (2026)

## Abstract (arXiv)

In this paper, we present an updated version of the NELA-GT-2019 dataset, entitled NELA-GT-2020. NELA-GT-2020 contains nearly 1.8M news articles from 519 sources collected between January 1st, 2020 and December 31st, 2020. Just as with NELA-GT-2018 and NELA-GT-2019, these sources come from a wide range of mainstream news sources and alternative news sources. Included in the dataset are source-level ground truth labels from Media Bias/Fact Check (MBFC) covering multiple dimensions of veracity. Additionally, new in the 2020 dataset are the Tweets embedded in the collected news articles, adding an extra layer of information to the data. The NELA-GT-2020 dataset can be found at https://doi.org/10.7910/DVN/CHMUYZ.