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Social Media Virality Insights
Social Media and Posts
Tags and Keywords
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Free
About
This dataset captures the pulse of viral social media trends across TikTok, Instagram, Twitter, and YouTube. It provides insights into the most popular hashtags, content types, and user engagement levels, offering a view of how trends unfold across platforms. With regional data and influencer-driven content, it allows for a deep exploration of what makes content go viral, the behaviours that drive engagement, and how trends evolve on a global scale.
Columns
- Post_ID: A unique identifier for each social media post.
- Post_Date: The date when the social media post was published. The data covers dates from 1st January 2022 to 30th December 2023.
- Platform: The specific social media platform where the post originated, including TikTok, Instagram, Twitter, and YouTube.
- Hashtag: The trending hashtag associated with the post.
- Content_Type: The type of content, such as Reel, Video, Post, Shorts, or Tweet.
- Region: The country or geographic region where the post gained traction.
- Views: The total number of views the post received, ranging from approximately 1,266 to 5 million.
- Likes: The total number of likes on the post, ranging from approximately 490 to 500,000.
- Shares: The total number of times the post was shared, ranging from approximately 52 to 100,000.
- Comments: The total number of comments on the post, ranging from approximately 18 to 50,000.
- Engagement_Level: The classification of the post's engagement level, such as 'Low' or 'High'.
Distribution
This dataset is provided in CSV format and contains 5,000 records. The file size is approximately 410.18 KB. All columns are fully populated with valid data, with no missing values.
Usage
This dataset is ideally suited for:
- Trend analysis to identify emerging patterns and shifts in social media popularity.
- Sentiment modelling based on engagement metrics.
- Understanding influencer marketing strategies and their effectiveness.
- Exploring what factors contribute to content virality.
- Analysing user behaviours that drive engagement.
- Tracking the evolution of trends on a global scale.
Coverage
The dataset covers a time range from 1st January 2022 to 30th December 2023. It spans multiple social media platforms, including TikTok, Instagram, Twitter, and YouTube. Geographic coverage includes various regions, with specific mentions of the USA and Canada. There are no specific demographic notes beyond the platforms and regions.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for:
- Marketing Professionals: To understand viral trends and inform campaign strategies.
- Data Analysts: For extracting insights into social media dynamics and user engagement.
- Researchers: To study online communities, content performance, and trend propagation.
- Social Media Strategists: To develop effective content and engagement tactics.
- Businesses: For trend forecasting and optimizing their digital presence or influencer collaborations.
Dataset Name Suggestions
- Social Media Virality Insights
- Global Trend Tracker Dataset
- Digital Engagement Metrics
- Platform Virality Trends
- Social Media Performance Analysis
Attributes
Original Data Source: Social Media Virality Insights
QUALITY