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BBC Digital Content Impact Analysis Data
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About
Data contains metadata collected from the official BBC YouTube channel, detailing information about its uploaded videos starting from 2007. This resource allows for analysis of video impact by tracking engagement metrics such as views, likes, and comments. It also enables researchers to study how video age and subject matter—gleaned from the description—correlate with audience interaction and overall popularity.
Columns
The dataset includes 10 attributes detailing video metrics and identifiers, all of which are 100% valid across 12,500 records:
- position: The sequential position of the video in the listing. The maximum value recorded is 12.5k, with a mean value of approximately 6.23k.
- channel_id: The unique identifier for the channel. This column contains only 1 unique value.
- channel_title: The name of the channel, which is consistently 'BBC' (100% of entries).
- video_id: The unique identifier for the video. There are 12,456 unique values recorded.
- published_at: The publication date and time of the video. Dates span from 22 January 2007 to 13 August 2020, with a mean date of 7 July 2013.
- video_title: The title of the video. There are 12,421 unique titles.
- video_description: The description text provided for the video. This column features 11,778 unique description entries.
- video_category_id: The numerical identifier for the video category. Values range from 1 to 29, with a mean of 22.9.
- video_category_label: The general category of the video. There are 15 unique categories, with 'Entertainment' being the most common (74%), followed by 'Comedy' (13%).
- duration: The length of the video. There are 913 unique duration values recorded.
Distribution
The material is stored in a CSV file named
bbc.csv, with a file size of 12.36 MB. The dataset includes 12,500 valid records across 10 listed columns. Data quality is notably high, as all listed fields are 100% valid with no missing or mismatched entries. The dataset is expected to be updated quarterly.Usage
This resource is ideal for media analysts, researchers, and data scientists studying digital content consumption and public engagement. It can be used to model the relationship between video characteristics (title, description, age, category) and viewer impact metrics (views, likes, comments). Analysts can specifically look for subjects that have a larger impact.
Coverage
The scope is limited to the official BBC YouTube channel. The time range for the videos begins on 22 January 2007 and extends up to 13 August 2020. Content covers a wide array of topics including News, Politics, and Arts and Entertainment.
License
CC0: Public Domain
Who Can Use It
The dataset is suitable for academic researchers, media analysts, and anyone interested in analyzing social media video trends. It holds a maximum usability rating of 10.00.
Dataset Name Suggestions
- BBC YouTube Channel Video Metadata 2007-2020
- YouTube Metadata for BBC Videos
- BBC Digital Content Impact Analysis Data
Attributes
Original Data Source: BBC Digital Content Impact Analysis Data
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