SharonSilva/Multimodal-Deception-Framework-for-Fake-News-Detection

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Grade	Name	Complexity	Churn	Issues
A	campaign_investigator.py	27	1	1
B	contradiction_explainability.py	24	1	8
B	inference_pipeline_new_post.py	65	1	10
A	xai-demo\src\index.css		1	-
A	label_fixer.py		2	1
F	multimodal_fakenews_model.py	41	2	28
A	prepare_clustering_data.py	0	2	2
A	emotion_gated.py	10	2	3
A	rough_work.py	46	2	3
D	build_het_graph.py	6	2	19
F	final_gnn_explainability.py	3	2	66
A	train_emotion_gated.py	39	2	2
F	train_het_gnn.py	0	2	59
A	train_vit_vad.py	7	2	1
A	xai-demo\index.html		2	-
A	image_scene_vector.py	1	2	10
A	xai-demo\vite.config.js		2	-
A	affective_embedding.py	8	2	1
A	download_models_hf.py	15	3	2
D	create_anomaly_assignment.py	5	3	23