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Multimodal-Deception-Framework-for-Fake-News-Detection
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Grade
Name
Complexity
Churn
Issues
F
app.py
155 11 339
F
safe_script.py
34 2 13
F
multimodal_fakenews_model.py
41 5 28
D
create_anomaly_assignment.py
5 4 23
D
requirements.txt
 16 6
C
Dockerfile
 22 3
B
explainability.py
40 4 8
A
label_fixer.py
 4 1
A
affective_embedding.py
8 3 1
A
prepare_clustering_data.py
0 4 2
A
rough_work.py
46 4 3
A
analyze_dected_posts.py
 2 2
A
download_models_hf.py
15 4 2
A
campaign_investigator.py
27 2 1
A
emotion_aware_weights.py
 2 -
A
anomaly_detection.py
 2 1
A
emotion_gated.py
10 4 3
A
download_models.py
 2 3
A
.github\workflows\codeql.yml
 1 -
A
ablation_analysis..py
10 2 6