YouTube Crisis Actor Videos

---

YouTube Crisis Actor Videos

YouTube Crisis Actor Videos: Views, Likes, Dislikes, and Channel Details

By Jonathan A. [source]

---

About this dataset

This dataset is comprised of information obtained from YouTube's API, specifically focusing on crisis actor-related videos. A total of 250 videos were included in this initial data collection, all of which were obtained through a search query for crisis actor and subsequent recommendations provided by YouTube. Within this dataset, approximately 20% of the videos are centered around topics such as mass shootings, crisis actors, and false flags. The remaining 80% pertain to various conspiracy theories involving history, government affairs, institutions, and religions. Notably, around 100 music videos were excluded from the original dataset.

The provided CSV file contains detailed information about these crisis actor-related videos on YouTube. It includes crucial attributes such as the video's name/titile,name,the channel that uploaded it,channel,the category or topic that it falls under,category,the number of viewsviews,likeslikes,dislikes receiveddislikes.

This comprehensive dataset encompasses a total of 8,823 unique videos that collectively accumulate an astounding viewer count of over 3.9 billion views (or 3,956 million views). Although this project is still ongoing and further analysis is yet to be conducted,this dataset has been made available to the public as a valuable resource for research purposes.

With its range of informative variables and extensive coverage regarding crisis actors and related topics on YouTube,this curated dataset offers researchers an invaluable resource for analyzing user engagement patterns,detecting trends,and gaining insights into the numerous perspectives surrounding this subject matter within the digital landscape

How to use the dataset

• Introduction:

• Understanding the Columns:

• name: This column represents the title or name of each individual video.

• channel: This column denotes the name of the YouTube channel that uploaded the video.

• category: This column indicates the category or topic of each video.

• views: The views column shows the number of views received by each video.

• likes: The likes column displays the number of likes received by each video.

• dislikes: The dislikes column showcases how many dislikes were received by each video.

• Dataset Scope:
  The dataset was created using data extracted from YouTube's API in February 2017 with a search query for crisis actor. Approximately 20% (50 videos) are specifically related to mass shootings, crisis actors, and false flag events. The remaining 80% (200 videos) cover various conspiracy theories related to history, government institutions, and religions.

• Music Video Removal:
  Around 100 music videos were removed from this initial dataset to focus solely on crisis actor-related content.

• Dataset Size and Views Count:
  The current dataset comprises a total of 8823 videos from various channels on YouTube with a cumulative view count exceeding 3.9 billion (4 billion).

• Usage Recommendations:
  When working with this dataset for research or analysis purposes:

a) Gain Insights into Crisis Actor Content:
Explore titles/names (**name), channels (**channel), categories (**category), views (**views), likes (**likes), and dislikes (**dislikes) columns to gather insights into crisis actor-related content available on YouTube.

b) Analyze Popularity:
Analyze the number of views, likes, and dislikes to gauge the popularity and engagement level of crisis actor-related videos.

c) Channel Analysis:
Examine the channels (**channel) column to identify prominent YouTube channels uploading crisis actor-related content.

d) Filter by Category or Topic:
Utilize the category (**category) column to filter videos based on specific categories or topics of interest.

• Project's Stage and Sharing:
  This dataset is shared as an initial release for public service but may not be complete. Keep in mind that additional updates might be made to enhance its scope and accuracy.

Remember, while analyzing this dataset, exercise

Research Ideas

• Analyzing the popularity and engagement of crisis actor-related videos on YouTube: By looking at the number of views, likes, and dislikes of these videos, researchers can gain insights into how much attention and engagement these videos are receiving from users. This can help in understanding the impact and influence of such content on social media platforms.
• Understanding user preferences and recommendations on YouTube: The dataset includes information on recommended videos based on the original crisis actor-related videos. By analyzing this data, researchers can uncover patterns in user behavior and preferences, which can inform recommendations algorithms or provide insights into user interests.
• Investigating conspiracy theories and misinformation dissemination: Given that a significant portion of the dataset consists of conspiracy theory-related content, it could be used to study how misinformation spreads online, particularly related to topics like mass shootings or false flag events. This analysis could shed light on the mechanisms behind the proliferation of conspiracy theories and their potential impact on public perception

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: YouTube Crisis Actor Video List_Cut_2_24_18 - Youtube_Crisis_actor_nodes_only.gexf.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Jonathan A..