Arabic news and public opinion dataset from YouTube

• The dataset contains 19,404,395 public comments and replies from 70,000 video news published from 20 renowned Arabic news YouTube channels. Each channel contributes 3,500 video news segments. It includes 10 properties of news that include video URL, ID, title, likes, views, date of publishing, hashtags, description, number of comments, and comments details which include comment time, comment, likes in the comment, and reply count, providing a comprehensive corpus for analysis.
• The data is organized in a standardized Excel format, making it easy to access and analyze. The data is organized in a standardized Excel format, making it easy to access and analyze. It includes 10 columns and 3500 records.
• The final curated datasets are saved in 20 primary folders; each news channel has a separate folder. This folder contains two files, a data file in Arabic and a file translated into English. This file contains raw data, which includes include the video URL, ID, title, likes, views, date of publishing, hashtags, description, number of comments, and comments details which include comment time, comment, likes in the comment, and reply count.