Create README.md

README.md

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+---
+language:
+- en
+- tl
+tags:
+- politics
+- social-media
+- tiktok
+- hate-speech
+- antisemitism
+pretty_name: Widespread Antisemitism on TikTok
+---
+
+## Summary
+
+This dataset contains TikTok comments and replies identified as antisemitic. This dataset contains metadata about each comment, such as user profile, engagement metrics, and geographical data, to support comprehensive analysis.
+
+## Date Fields
+
+The dataset is structured as a CSV file with the following columns:
+
+`post_id`: Unique numerical identifier for the TikTok post
+`comment_id`: Unique numerical identifier for the comment or reply
+`parent_id`: Reference to the `comment_id` of the comment that this comment is replying to
+
+`username`: Unique identifier for the user who published the comment or reply
+`nickname`: Display name of the user who published the comment or reply
+`bio`: Bio or description of the user who published the comment or reply
+`avatar`: URL that points to the avatar associated with the user's profile
+
+`text`: Full text of the comment or reply
+
+`region`: Geographical region where the user published the comment or reply
+
+`likes`: Number of likes that the comment or reply received
+`reply_count`: Number of replies that the comment or reply generated
+`liked_by_creator`: Boolean indicating whether the post author "liked" the comment or reply
+
+`created`: Timestamp when the comment or reply was published
+
+## Dataset Creation
+
+1. **Data Collection**: data collection via the TikTok API, focusing on post interactions
+2. **Keyword Filtering**: User interactions such as comments and replies, and user profile information such as nicknames and descriptions were filtered using three distinct keywords groups:
+  1. **Israel-related symbols**: Emojis such as the Israel flag (🇮🇱) and the Star of David (✡️) were used to identify relevant content and possible misuses
+  2. **Yellow Ribbon**: The yellow ribbon emoji (🎗️), a symbol of hope and support for those who are held in captivity, was also included to identify relevant content
+  3. **Antisemetic Keywords**: Specific keywords and phrases commonly associated with antisemitism were used to filter and identify content with antisemetic undertones
+3. **Data scraping**: Comments, replies, and user profile information identified to contain antisemetic content were subjected to targeted data scraping to collect detailed information, including the whole thread history and user profile metadata.
+
+## Limitations
+
+This dataset only includes text-based content from user interactions and user profiles. This dataset does not include photo or video content.