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@misc{ enwiki:activation,
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@misc{ sur:vectors,
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@inproceedings{lime_text_explainer,
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year = {2016},
isbn = {9781450342322},
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booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
pages = {1135–1144},
numpages = {10},
keywords = {explaining machine learning, interpretable machine learning, interpretability, black box classifier},
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series = {KDD '16}
}

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    @misc{izu_dt,
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@ARTICLE{moore_exponential,
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@ARTICLE{WELFake,
  author={Verma, Pawan Kumar and Agrawal, Prateek and Amorim, Ivone and Prodan, Radu},
  journal={IEEE Transactions on Computational Social Systems}, 
  title={WELFake: Word Embedding Over Linguistic Features for Fake News Detection}, 
  year={2021},
  volume={8},
  edition = "1",
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  pages={881-893},
  doi={10.1109/TCSS.2021.3068519},
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}

@article{shu2018fakenewsnet,
  title={FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media},
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}

@article{online_fact_checker,
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}


