Update README.md

README.md

@@ -42,9 +42,9 @@ The dataset is structured as a CSV file with the following columns:
 
 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
+    - **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