DOI: 10.5281/zenodo.17551955
title: Data for paper "Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse"

description: DATA DESCRIPTIONThis dataset supports the study of climate discourse in Portuguese language YouTube videos, focusing on Brazilian Portuguese content. The data is split into three files:



youtube_video.parquet: containing video metadata, and channel, topic and persuasion annotations, for a total of 226,775 videos.

youtube_comments.parquet: containing comment metadata, hashed user ids to preserve privacy, and theory of mind annotations for a total of 2,756,165 comments.

aggregated_youtube.parquet: containing the aggregated data for each of the 226,775 videos, such as the percentage of comments presenting each of the theory of mind categories.


 

The dataset can be rehydrated through the id field for the youtube_comments file and videoId field for youtube_video and aggregated_youtube files. We remove the textual content from all data to prevent leakage of personally identifiable information.

DATA ACCESS INSTRUCTIONS

Access to this data is restricted. To request access, follow the steps below:



Login to zenodo or enter your details (email and name) in the Files section.

In the message box, describe the intended usage of the data.

Request access.

Your request will be reviewed within a week. When access is granted, you will receive a notification via email.


If you have any questions, contact us at:

wenchao[dot]dong[at]mpi-sp[dot]org or marcelo[dot]sartori-locatelli[at]mpi-sp[dot]org

ETHICAL USAGE COMMITMENT

By requesting and accessing this dataset, you agree to comply with the following ethical usage requirements:



The dataset may only be used for research and educational purposes, such as the study of online discourse and social media analysis. The data must not be used for political, or malicious purposes.

The dataset may not be used for harmful applications, including, but not limited to: training or fine-tuning generative models to amplify, reproduce or legitimize harmful content (e.g. misinformation, denialist narratives, conspiracies).

You will take appropriate measures to avoid unauthorized access, data leakage or other actions that may infringe on the confidentiality of the dataset.


ADDITIONAL INFORMATION

For the full version of the paper check the arxiv.

DATASET STRUCTUREyoutube_video.parquet




Field
Description


videoId
A unique identifier for the video in the YouTube platform


query
Query used to retrieve the video using the YouTube api


channelId
A unique identifier for the creator of the video in the YouTube platform


viewCount
Number of views associated with the entry


likeCount
Number of likes associated with the entry


commentCount
Number of comments associated with the entry


tags
YouTube given tags associated with the entry


duration
Duration of the video in ISO8601 format


video_duration_minutes
Duration of the video in minutes


channel_subscriber_count
Number of subscribers for the creator of the video


channel_subscriberCount_log
Number of subscribers for the creator of the video (log scale)


logical_appeal
Indicates the presence of logical appeal in the vide's content


emotional_appeal
Indicates the presence of emotional appeal in the video's content


statistical_evidence
Indicates the presence of statistical evidence in the video's content


social_norm
Indicates the presence of social norm in the video's content


authority
Indicates the presence of authority in the video's content


personal_stories
Indicates the presence of personal stories in the video's content


moral_appeal
Indicates the presence of moral appeal in the video's content


reciprocity
Indicates the presence of reciprocity in the video's content


scarcity
Indicates the presence of scarcity in the video's content


common_ground
Indicates the presence of common ground in the video's content


video_like_ratio
likeCount divided by viewCount for the entry


video_comment_ratio
commentCount divided by viewCount for the entry


channel_classification
Category associated with the video's creator (e.g. Government, individual creator)


channel_idx
Index for the category associated with the video's creator


topic
Topic associated with the video's contents


topic_label
Index for the topic associated with the video's contents


publishedAt
Creation date of the entry in ISO8601 format


publish_year
Year of creation for the entry


publish_month
Month of creation for the entry


publish_day
Day of creation for the entry


publish_time
Time of creation for the entry (hh:mm:ss)


publishedAt_datetime
Creation date of the entry in UTC format




youtube_comments.parquet:




Field
Description


id
A unique identifier for the comment in the YouTube platform


hashed_userId
A pseudonymized user id associated with the entry


videoId
A unique identifier for the video associated with the entry in the YouTube platform


comment_like_count
Number of likes associated with the entry


comment_reply_count
Number of replies associated with the entry


beliefs_exists
Indicates the presence of belief theory of mind label in the video's content


intentions_exists 
Indicates the presence of intention theory of mind label in the video's content


desires_exists
Indicates the presence of desires theory of mind label in the video's content


emotions_exists
Indicates the presence of emotions theory of mind label in the video's content


knowledge_exists
Indicates the presence of knowledge theory of mind label in the video's content


percepts_exists
Indicates the presence of percepts theory of mind label in the video's content


non_literal_exists
Indicates the presence of non-literal communication theory of mind label in the video's content




comment_length

Length of the content associated with the entry in words


comment_delay_days
Number of days between the posting of this entry and the video associated with it


comment_publish_year
Year of creation for the entry


comment_publish_month
Month of creation for the entry


comment_publish_day
Day of creation for the entry


channel_subscriberCount_log
Number of subscribers for the creator of the video associated with the entry (log scale)


logical_appeal, emotional_appeal, statistical_evidence, social_norm, authority, personal_stories, moral_appeal, reciprocity, scarcity, common_ground
Persuasion strategies employed in the video associated with this entry, matching the ones in file youtube_video.parquet for the same videoId




aggregated_youtube.parquet:

 




Field
Description


videoId
A unique identifier for the video in the YouTube platform






comment_like_count


Average number of likes of comments associated with this entry






comment_reply_count


Average number of replies of comments associated with this entry


video_duration_minutes
Duration of the video in minutes


channel_subscriberCount_log
Number of subscribers for the creator of the video (log scale)


comment_length
Average length (in words) of comments associated with this entry


beliefs_exists
Proportion of comments containing belief theory of mind label associated with this entry


intentions_exists 
Proportion of comments containing intentions theory of mind label associated with this entry


desires_exists
Proportion of comments containing desires theory of mind label associated with this entry


emotions_exists
Proportion of comments containing emotions theory of mind label associated with this entry


knowledge_exists
Proportion of comments containing knowledge theory of mind label associated with this entry


percepts_exists
Proportion of comments containing percepts theory of mind label associated with this entry


non_literal_exists
Proportion of comments containing non-literal communication theory of mind label associated with this entry


logical_appeal
Indicates the presence of logical appeal in the vide's content


emotional_appeal
Indicates the presence of emotional appeal in the video's content


statistical_evidence
Indicates the presence of statistical evidence in the video's content


social_norm
Indicates the presence of social norm in the video's content


authority
Indicates the presence of authority in the video's content


personal_stories
Indicates the presence of personal stories in the video's content


moral_appeal
Indicates the presence of moral appeal in the video's content


reciprocity
Indicates the presence of reciprocity in the video's content


scarcity
Indicates the presence of scarcity in the video's content


common_ground
Indicates the presence of common ground in the video's content