fakeddit dataset Search Results


fakeddit dataset  (Reddit Inc)
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Reddit Inc fakeddit dataset
The overall structure of multimodal fake news detection (images reproduced from , the <t>Fakeddit</t> dataset, https://github.com/entitize/Fakeddit ). The model is composed of three components, contrastive learning module is for learning the image feature using a small sample of training data, infusing module aims to align text and image feature and then apply the large language model for the multimodal combination, the classification module is for the prediction of fake news.
Fakeddit Dataset, supplied by Reddit Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/fakeddit dataset/product/Reddit Inc
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fakeddit dataset - by Bioz Stars, 2026-06
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The overall structure of multimodal fake news detection (images reproduced from , the Fakeddit dataset, https://github.com/entitize/Fakeddit ). The model is composed of three components, contrastive learning module is for learning the image feature using a small sample of training data, infusing module aims to align text and image feature and then apply the large language model for the multimodal combination, the classification module is for the prediction of fake news.

Journal: Frontiers in Artificial Intelligence

Article Title: A self-learning multimodal approach for fake news detection

doi: 10.3389/frai.2025.1665798

Figure Lengend Snippet: The overall structure of multimodal fake news detection (images reproduced from , the Fakeddit dataset, https://github.com/entitize/Fakeddit ). The model is composed of three components, contrastive learning module is for learning the image feature using a small sample of training data, infusing module aims to align text and image feature and then apply the large language model for the multimodal combination, the classification module is for the prediction of fake news.

Article Snippet: This study utilizes the publicly available Fakeddit dataset, which comprises Reddit posts collected in accordance with Reddit's content and API usage policies.

Techniques:

Momentum configuration for contrastive learning (image reproduced from , the Fakeddit dataset, https://github.com/entitize/Fakeddit ).

Journal: Frontiers in Artificial Intelligence

Article Title: A self-learning multimodal approach for fake news detection

doi: 10.3389/frai.2025.1665798

Figure Lengend Snippet: Momentum configuration for contrastive learning (image reproduced from , the Fakeddit dataset, https://github.com/entitize/Fakeddit ).

Article Snippet: This study utilizes the publicly available Fakeddit dataset, which comprises Reddit posts collected in accordance with Reddit's content and API usage policies.

Techniques: