|
--- |
|
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: |
|
- **Israel-related symbols**: Emojis such as the Flag of Israel (🇮🇱) and the Star of David (✡️) were used to identify relevant content and possible misuses |
|
- **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 |
|
- **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. |
