MM-Claims: A Dataset for Multimodal Claim Detection in Social Media
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Abstract (arXiv)
In recent years, the problem of misinformation on the web has become widespread across languages, countries, and various social media platforms. Although there has been much work on automated fake news detection, the role of images and their variety are not well explored. In this paper, we investigate the roles of image and text at an earlier stage of the fake news detection pipeline, called claim detection. For this purpose, we introduce a novel dataset, MM-Claims, which consists of tweets and corresponding images over three topics: COVID-19, Climate Change and broadly Technology. The dataset contains roughly 86000 tweets, out of which 3400 are labeled manually by multiple annotators for the training and evaluation of multimodal models. We describe the dataset in detail, evaluate strong unimodal and multimodal baselines, and analyze the potential and drawbacks of current models.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 22 of its 53 references that are in the map. First posted on arXiv 4 May 2022.
Builds on
22 of 53 references.
References · 22
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
- 2014ImageNet Large Scale Visual Recognition Challengecited by 8,441
- 2021Align before Fuse: Vision and Language Representation Learning with Momentum Distillationcited by 1,612
- 2020Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Societycited by 72
- 2020The COVID-19 Social Media Infodemiccited by 64
- 2019Fact-Checking Meets Fauxtography: Verifying Claims About Imagescited by 52
- 2020Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Mediacited by 46
- 2020A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaborationcited by 33
- 2017What is the Essence of a Claim? Cross-Domain Claim Identificationcited by 31
10 more
- 2019IMHO Fine-Tuning Improves Claim Detectioncited by 27
- 2021LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Contentcited by 22
- 2021Claim Detection in Biomedical Twitter Postscited by 18
- 2018Fake News Identification on Twitter with Hybrid CNN and RNN Modelscited by 17
- 2021Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Datasetcited by 13
- 2020TweetsCOV19 -- A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemiccited by 9
- 2020Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Featurescited by 7
- 2018TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweetscited by 6
- 2021On the Role of Images for Analyzing Claims in Social Mediacited by 6
- 2021TIB's Visual Analytics Group at MediaEval '20: Detecting Fake News on Corona Virus and 5G Conspiracycited by 4
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Citing papers per year: 2023: 2; 2024: 1; 2025: 2; 2026: 1.
6 papers.
- 2023Multimodal Automated Fact-Checking: A Surveycited by 51
- 2023VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Biascited by 37
- 2025The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrievalcited by 14
- 2025Large Language Models in Argument Mining: A Surveycited by 14
- 2024Multilingual Models for Check-Worthy Social Media Posts Detectioncited by 2
- 2026ClaimPT: A Portuguese Dataset of Annotated Claims in News Articlescited by 0
- 2026ClaimPT: A Portuguese Dataset of Annotated Claims in News Articles27 Jan 2026
- 2025Large Language Models in Argument Mining: A Survey19 Jun 2025
- 2025The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval19 Mar 2025
- 2024Multilingual Models for Check-Worthy Social Media Posts Detection13 Aug 2024
- 2023Multimodal Automated Fact-Checking: A Survey22 May 2023
- 2023VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias27 Apr 2023