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Misinformation datasets
archive 2025-07-2844 datasets carry the task tag "Misinformation" (the task itself: Misinformation), ordered by the archive's paper count. Page 1 of 1: 44 shown of 44. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Misinformation 44
Misinformation datasets 1–44 of 44
The Hateful Memes data set is a multimodal dataset for hateful meme detection (image + text) that contains 10,000+ new multimodal examples created by Facebook AI.
177 papers · 3 benchmarks
LIAR is a publicly available dataset for fake news detection.
130 papers · 1 benchmark
DFDC (Deepfake Detection Challenge)
The DFDC (Deepfake Detection Challenge) is a dataset for deepface detection consisting of more than 100,000 videos.
126 papers · 1 benchmark
A new challenge set for multimodal classification, focusing on detecting hate speech in multimodal memes.
48 papers · 0 benchmarks
CoAID include diverse COVID-19 healthcare misinformation, including fake news on websites and social platforms, along with users' social engagement about such news.
41 papers · 0 benchmarks
A new publicly available dataset for verification of climate change-related claims.
38 papers · 1 benchmark
FakeNewsNet is collected from two fact-checking websites: GossipCop and PolitiFact containing news contents with labels annotated by professional journalists and experts, along with social context information.
30 papers · 0 benchmarks
UPFD (User Preference-aware Fake News Detection)
For benchmarking, please refer to its variant UPFD-POL and UPFD-GOS.
13 papers · 0 benchmarks
A large-scale curated dataset of over 152 million tweets, growing daily, related to COVID-19 chatter generated from January 1st to April 4th at the time of writing.
10 papers · 0 benchmarks
For LIAR-RAW, we extended the public dataset LIAR-PLUS (Alhindi et al., 2018) with relevant raw reports, containing fine-grained claims from Politifact.
9 papers · 0 benchmarks
MEIR (Multimodal Entity Image Repurposing)
MEIR is a substantially challenging dataset over that which has been previously available to support research into image repurposing detection.
9 papers · 0 benchmarks
NELA-GT-2018 is a dataset for the study of misinformation that consists of 713k articles collected between 02/2018-11/2018.
9 papers · 0 benchmarks
ArCOV-19 is an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 30th of April 2020.
6 papers · 0 benchmarks
For RAWFC, we constructed it from scratch by collecting the claims from Snopes and relevant raw reports by retrieving claim keywords.
6 papers · 1 benchmark
5 papers · 0 benchmarks
MuMiN is a misinformation graph dataset containing rich social media data (tweets, replies, users, images, articles, hashtags), spanning 21 million tweets belonging to 26 thousand Twitter threads, each of which have been semantically…
5 papers · 0 benchmarks
NELA-GT-2019 is an updated version of the NELA-GT-2018 dataset.
5 papers · 0 benchmarks
ArCOV19-Rumors is an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020.
4 papers · 0 benchmarks
CoVERT (A Corpus of Fact-checked Biomedical COVID-19 Tweets)
CoVERT is a fact-checked corpus of tweets with a focus on the domain of biomedicine and COVID-19-related (mis)information.
4 papers · 0 benchmarks
GeoCoV19 is a large-scale Twitter dataset containing more than 524 million multilingual tweets.
4 papers · 0 benchmarks
NELA-GT-2020 is an updated version of the NELA-GT-2019 dataset.
4 papers · 0 benchmarks
Some Like it Hoax is a fake news detection dataset consisting of 15,500 Facebook posts and 909,236 users.
4 papers · 0 benchmarks
COVID-Q consists of COVID-19 questions which have been annotated into a broad category (e.g.
3 papers · 0 benchmarks
CoVaxLies v1 includes 17 known Misinformation Targets (MisTs) found on Twitter about the covid-19 vaccines.
3 papers · 0 benchmarks
Stanceosaurus is a corpus of 28,033 tweets in English, Hindi, and Arabic annotated with stance towards 251 misinformation claims.
3 papers · 0 benchmarks
Detecting out-of-context media, such as "mis-captioned" images on Twitter, is a relevant problem, especially in domains of high public significance.
3 papers · 0 benchmarks
UPFD-GOS (User Preference-aware Fake News Detection)
The Gossipcop variant of the UPFD dataset for benchmarking.
3 papers · 1 benchmark
CoVaxFrames includes 113 Vaccine Hesitancy Framings found on Twitter about the COVID-19 vaccines.
2 papers · 0 benchmarks
CoVaxLies v2 includes 47 Misinformation Targets (MisTs) found on Twitter about the COVID-19 vaccines.
2 papers · 0 benchmarks
Covid-HeRA is a dataset for health risk assessment and severity-informed decision making in the presence of COVID19 misinformation.
2 papers · 0 benchmarks
MMVax-Stance includes 113 Vaccine Hesitancy Framings found on Twitter about the COVID-19 vaccines.
2 papers · 0 benchmarks
ThreatGram 101 - Extreme Telegram Data (ThreatGram 101 - Extreme Telegram Replies Data with Threat Levels)
Data 1: Raw and Unlabeled; 2 million unlabeled replies from 17 Telegram channels.
2 papers · 1 benchmark
UPFD-POL (User Preference-aware Fake News Detection)
The PolitiFact variant of the UPFD dataset for benchmarking.
2 papers · 1 benchmark
This paper analyses two hitherto unstudied sites sharing state-backed disinformation, Reliable Recent News (rrn.world) and WarOnFakes (waronfakes.com), which publish content in Arabic, Chinese, English, French, German, and Spanish.
1 paper · 0 benchmarks
HAVOC (Harmful Abstractions and Violations in Open Completions Benchmark)
measure the toxicity generated by language models across input severity and harm categories, by creating a new benchmark of open ended prefixes.
1 paper · 0 benchmarks
HpVaxFrames includes 64 Vaccine Hesitancy Framings found on Twitter about the HPV vaccines.
1 paper · 0 benchmarks
MIPD (Manipulation and Intention In a Novel Corpus of Polish Disinformation)
A novel corpus of 15,356 Polish web articles, including articles identified as containing disinformation.
1 paper · 0 benchmarks
This dataset of medical misinformation was collected and is published by Kempelen Institute of Intelligent Technologies (KInIT).
1 paper · 0 benchmarks
NAIST COVID is a multilingual dataset of social media posts related to COVID-19, consisting of microblogs in English and Japanese from Twitter and those in Chinese from Weibo.
1 paper · 0 benchmarks
NELA-GT-2021 is the fourth installment of the NELA-GT datasets, NELA-GT-2021.
1 paper · 0 benchmarks
Combines CoVaxFrames and HpVaxFrames into a unified dataset of 113 Vaccine Hesitancy Framings found on Twitter about the COVID-19 vaccines and 64 Vaccine Hesitancy Framings found on Twitter about the HPV vaccines.
1 paper · 0 benchmarks
A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines.
1 paper · 0 benchmarks
We introduce misinfo-general, a benchmark dataset for evaluating misinformation models’ ability to perform out-of-distribution generalisation.
1 paper · 0 benchmarks
CIDII Dataset (Correct Information and Disinformation about Islamic Issues)
The CIDII dataset is a binary classification, consisting of two classes of correct information and disinformation related to Islamic issues.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.