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@@ -27,7 +27,7 @@ combined and preprocessed. 0 (LABEL_0) stands for false and 1 stands for true.
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  - **Developed by:** Ostap Mykhailiv
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  - **Model type:** Classification
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  - **Language(s) (NLP):** English
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- - **License:** apache-2.0
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  - **Finetuned from model:** google-bert/bert-base-uncased
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  ### Model Usage
@@ -36,9 +36,9 @@ This model can be used for whatever reason you need, also a site hosted, based o
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  ## Bias, Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- Since it's a Bert model, it also exhibits bias. It wouldn't be classified as cutting-edge because it was trained
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- on outdated data (pre-2022). This makes it unreliable for fact-checking fake news related to military conflicts in Ukraine,
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- Israel, etc. Additionally, the lack of preprocessing for people's names in the data might introduce a bias towards certain names.
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  ### Recommendations
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
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  - **Developed by:** Ostap Mykhailiv
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  - **Model type:** Classification
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  - **Language(s) (NLP):** English
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+ - **License:** MIT
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  - **Finetuned from model:** google-bert/bert-base-uncased
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  ### Model Usage
 
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  ## Bias, Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+ Since it's a Bert model, it also exhibits bias. Be careful about checking some specific data by this model, since
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+ it was trained on pre-2023 data. Additionally, the lack of preprocessing for people's names in the training data might
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+ cause a bias towards certain persons.
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  ### Recommendations
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->