ZAINAB A. JAWAD, AHMED J. OBAID (CNN and DNN with SCM, 2022)

Reported on 5 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing5 results

Fake News DetectiononFNC-1
Per-class Accuracy (Agree)· 2022-10-15
88.47
SOTA
Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection arXiv:2210.08331
Fake News DetectiononFNC-1
Per-class Accuracy (Disagree)· 2022-10-15
96
SOTA
Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection arXiv:2210.08331
Fake News DetectiononFNC-1
Per-class Accuracy (Discuss)· 2022-10-15
87.7
SOTA
Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection arXiv:2210.08331
Fake News DetectiononFNC-1
Weighted Accuracy· 2022-10-15
84.6
best: 90.73 (Sepúlveda-Torres R., Vicente M., Saquete E., Lloret E., Palomar M. (2021))
SOTA
Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection arXiv:2210.08331
Fake News DetectiononFNC-1
Per-class Accuracy (Unrelated)· 2022-10-15
95.04
best: 99.36 (Sepúlveda-Torres R., Vicente M., Saquete E., Lloret E., Palomar M. (2021))
Combination Of Convolution Neural Networks And Deep Neural Networks For Fake News Detection arXiv:2210.08331