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fakeddit dataset  (Reddit Inc)

 
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    Structured Review

    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
    Average 86 stars, based on 1 article reviews
    fakeddit dataset - by Bioz Stars, 2026-06
    86/100 stars

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    1) Product Images from "A self-learning multimodal approach for fake news detection"

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

    Journal: Frontiers in Artificial Intelligence

    doi: 10.3389/frai.2025.1665798

    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.
    Figure Legend 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.

    Techniques Used:

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

    Techniques Used:



    Similar Products

    fakeddit dataset  (Reddit Inc)
    86
    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
    Average 86 stars, based on 1 article reviews
    fakeddit dataset - by Bioz Stars, 2026-06
    86/100 stars
    		  Buy from Supplier
    multimodal fakeddit dataset  (Reddit Inc)
    90
    Reddit Inc multimodal 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.
    Multimodal Fakeddit Dataset, supplied by Reddit Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/multimodal fakeddit dataset/product/Reddit Inc
    Average 90 stars, based on 1 article reviews
    multimodal fakeddit dataset - by Bioz Stars, 2026-06
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    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: