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  To safeguard user identity and uphold the integrity of this dataset, all user mentions have been anonymized as "@user," and any references to external websites have been omitted
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  ## Annotation and voting process
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- To generate the binary matrices, we utilized a simple voting process. Each document underwent three separate evaluations.
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  If a document received two or more identical classifications, the assigned value was set to 1; otherwise, it was marked as 0.
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  The annotated raw data can be accessed in the [project repository](https://github.com/Silly-Machine/TuPy-Dataset).
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  The following table offers a brief summary of the annotators' profiles and qualifications:
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  | Label | Count |
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  |----------------------|--------|
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- | Non-aggressive | 8013 |
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- | Aggressive - Not hate| 689 |
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- | Aggressive - Hate | 1298 |
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- | Total | 10000 |
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  Table 3 provides a detailed analysis of the dataset, delineating the data volume in relation to the occurrence of distinct categories of hate speech.
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  | Label | Count |
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  |--------------------------|-------|
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- | Ageism | 53 |
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- | Aporophobia | 61 |
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- | Body shame | 120 |
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- | Capacitism | 92 |
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- | LGBTphobia | 96 |
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- | Political | 532 |
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- | Racism | 38 |
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- | Religious intolerance | 28 |
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- | Misogyny | 207 |
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- | Xenophobia | 70 |
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- | Other | 1 |
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- | Total | 1298 |
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  # BibTeX citation
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  To safeguard user identity and uphold the integrity of this dataset, all user mentions have been anonymized as "@user," and any references to external websites have been omitted
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  ## Annotation and voting process
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+ Regarding the unpublished part of the TuPyE dataset, we utilized a simple voting process to generate the binary matrices. Each document underwent three separate evaluations.
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  If a document received two or more identical classifications, the assigned value was set to 1; otherwise, it was marked as 0.
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  The annotated raw data can be accessed in the [project repository](https://github.com/Silly-Machine/TuPy-Dataset).
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  The following table offers a brief summary of the annotators' profiles and qualifications:
 
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  | Label | Count |
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  |----------------------|--------|
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+ | Non-aggressive | 31121 |
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+ | Aggressive - Not hate| 3180 |
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+ | Aggressive - Hate | 9367 |
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+ | Total | 43668 |
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  Table 3 provides a detailed analysis of the dataset, delineating the data volume in relation to the occurrence of distinct categories of hate speech.
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  | Label | Count |
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  |--------------------------|-------|
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+ | Ageism | 57 |
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+ | Aporophobia | 66 |
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+ | Body shame | 285 |
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+ | Capacitism | 99 |
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+ | LGBTphobia | 805 |
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+ | Political | 1149 |
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+ | Racism | 290 |
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+ | Religious intolerance | 108 |
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+ | Misogyny | 1675 |
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+ | Xenophobia | 357 |
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+ | Other | 4476 |
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+ | Total | 9367 |
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  # BibTeX citation
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