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  "access_rights": "",
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  "author": "William Yang Wang",
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  "author": "William Yang Wang",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.1007/978-3-031-20859-1_13",
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    "https://doi.org/10.1007/978-3-031-20859-1_13",
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2112.06924",
            
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  "doi": "10.57702/lmtss4yd",
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  "doi": "10.57702/lmtss4yd",
            
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  "doi_date_published": "2024-12-16",
            
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      "description": "",
            
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      "display_name": "Deception Detection",
            
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      "name": "deception-detection",
            
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      "title": "Deception Detection"
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      "title": "Deception Detection"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Fake News Detection",
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      "display_name": "Fake News Detection",
            
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      "name": "fake-news-detection",
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      "name": "fake-news-detection",
            
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      "title": "Fake News Detection"
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      "title": "Fake News Detection"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "name": "text-classification",
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      "name": "text-classification",
            
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      "title": "Text Classification"
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      "title": "Text Classification"
            
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  "metadata_created": "2024-12-16T20:56:07.814277",
            
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  "name": 
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  "name": 
            
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-liar-pants-on-fire--a-new-benchmark-dataset-for-fake-news-detection",
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-liar-pants-on-fire--a-new-benchmark-dataset-for-fake-news-detection",
            
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  "notes": "A new benchmark dataset for fake news detection, 
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  "notes": "A new benchmark dataset for fake news detection, 
            
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containing 12,836 short statements labeled for truthfulness, subject, 
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containing 12,836 short statements labeled for truthfulness, subject, 
            
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context/venue, speaker, state, party, and prior history.",
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context/venue, speaker, state, party, and prior history.",
            
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      "display_name": "fake news",
            
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      "name": "fake news",
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      "name": "fake news",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake 
182
  "title": "Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake 
            
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News Detection",
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News Detection",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}