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CNN YouTube Content Performance
Social Media and Posts
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Free
About
Data exploring CNN's YouTube channel content, viewership, and posting patterns. It was collected using a Python module called "SiteScraper", which is built on Selenium. This dataset enables analysis such as text summarisation of video titles, examining the correlation between views and titles, and understanding the type of content favoured by democrats.
Columns
- title: Contains all unique video titles posted by CNN over the last four months. There are 427 unique entries in this column, all of which are valid.
- views_on_vd: Records the view counts for each video. Viewership ranges from approximately 2.9 thousand to 5.9 million. The average view count is around 318 thousand, with a standard deviation of 486 thousand.
- time_in_minutes: Indicates how long ago each video was posted, measured in minutes. For example, a value of 19 signifies the video was posted 19 minutes prior. These values span from 19 minutes to approximately 18.7 thousand minutes ago, with an average of about 4.01 thousand minutes.
Distribution
The data is presented in a tabular format, likely a CSV file, with a size of 34.92 kB and comprising 3 columns. All 427 records across the title, views, and time columns are valid and accounted for. This dataset is designed for regular updates, with new information expected to be added weekly.
Usage
This dataset is well-suited for several analytical tasks:
- Performing text summarisation on the video titles to extract key themes.
- Investigating the relationship between video titles and their corresponding view counts.
- Identifying content trends and preferences among democratic viewers.
- General business analysis, computer science projects, and programming applications focusing on media data.
Coverage
The data focuses on CNN's YouTube channel, providing a global perspective on their content. It specifically covers video titles and posting times from the last four months. The analysis has an implied demographic scope related to understanding content consumed by democrats.
License
CC0: Public Domain
Who Can Use It
- Data analysts looking to explore patterns in online media consumption.
- Researchers studying the political media landscape and viewer engagement.
- Developers interested in building applications for text analysis or correlation studies.
- Marketers seeking insights into effective content strategies on YouTube.
- Journalists or media critics examining CNN's digital output and audience reception.
Dataset Name Suggestions
- CNN YouTube Content Performance
- CNN Channel Viewership Data
- YouTube CNN Video Insights
- CNN Digital Engagement Metrics
- CNN YouTube Activity Log
Attributes
Original Data Source: CNN YouTube Content Performance
QUALITY