Brazilian Elections YouTube Comments Dataset (2018-2022)

This dataset provides a comprehensive analysis of YouTube comments related to Brazilian election candidates for the years 2018 and 2022. The dataset is organized into two folders:
video_gender_mapping_BR_elections: This folder contains individual files, each corresponding to a YouTube channel analyzed. Each file includes the following fields:

channelId: YouTube channel identifier
channelTitle: YouTube channel title
videoId: YouTube video identifier
publishedAt: Datetime of when the video was published
year_month: Year and month of when the video was published
views: Number of views of the video
comments: Number of total comments on the video
likes: Number of total likes on the video
match_type: Type of match considering candidate name and video title/description (T for Title, D for Description, TD for both)
match_result: Array of JSON containing positive matches based on race, elective office, title/description match, and gender
match_cargos: List of elective offices that appear in the match
match_genero: Overview of gender types (M for male, F for female, MF for both)
match_raca: Overview of races for all matched elective offices (BR for white, AM for yellow, PA for brown, PR for black, IN for Indian, NA for None of the above)
match_genero_raca: Array of gender and race concatenated for each matched candidate
comments_folders: This file provides a sample of comments collected from the videos analyzed in the first file. It includes the following fields:

id: Comment identifier
videoId: Video identifier where the comment is published
textDisplay: Comment as displayed on the YouTube platform
textDisplay_len: Number of characters in the displayed comment
textOriginal: Encoded comment text
textOriginal_len: Number of characters in the original comment text
authorDisplayName: Name of the comment author
authorChannelId: Comment author channel identifier
publishedAt: Timestamp of when the comment was published
likes: Number of likes on the comment
This dataset offers valuable insights into YouTube interactions surrounding Brazilian elections, including demographic and sentiment analysis based on candidate information, gender, and race. Researchers can utilize this dataset for a detailed examination of public engagement and sentiment on political content during the specified election periods.