OpenCodePapers

fake-news-detection-on-fnc-1

Fake News Detection
Dataset Link
Results over time
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PaperCodeWeighted AccuracyPer-class Accuracy (Unrelated)Per-class Accuracy (Agree)Per-class Accuracy (Disagree)Per-class Accuracy (Discuss)ModelNameReleaseDate
Exploring Summarization to Enhance Headline Stance Detection✓ Link90.7399.3675.0363.4185.97Sepúlveda-Torres R., Vicente M., Saquete E., Lloret E., Palomar M. (2021)2021-06-20
Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection84.6095.0488.4796.0087.70ZAINAB A. JAWAD, AHMED J. OBAID (CNN and DNN with SCM, 2022)2022-10-15
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification✓ Link83.0898.0443.826.3185.68Bhatt et al.2017-12-11
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News✓ Link82.2396.7451.3410.3381.52Bi-LSTM (max-pooling, attention)2018-11-02
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task✓ Link81.7297.9044.046.6081.383rd place at FNC-1 - Team UCL Machine Reading (Riedel et al., 2017)2017-07-11
Automatic Stance Detection Using End-to-End Memory Networks81.23Neural method from Mohtarami et al. + TF-IDF (Mohtarami et al., 2018)2018-04-20
Automatic Stance Detection Using End-to-End Memory Networks78.97Neural method from Mohtarami et al. (Mohtarami et al., 2018)2018-04-20
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification✓ Link76.1891.1831.800.0081.20Baseline based on skip-thought embeddings (Bhatt et al., 2017)2017-12-11
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification✓ Link72.7896.0550.709.6153.38Baseline based on word2vec + hand-crafted features (Bhatt et al., 2017)2017-12-11
On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification✓ Link63.1178.2738.044.5958.132Neural baseline based on bi-directional LSTMs (Bhatt et al., 2017)2017-12-11