How many people use social media?

              Social media usage is one of the most popular online activities. In 2024, over five billion people were using social media worldwide, a number projected to increase to over six billion in 2028.

              Who uses social media?
              Social networking is one of the most popular digital activities worldwide and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at 59 percent. This figure is anticipated to grow as lesser developed digital markets catch up with other regions
              when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. Mobile-first market Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe.

              How much time do people spend on social media?
              Social media is an integral part of daily internet usage. On average, internet users spend 151 minutes per day on social media and messaging apps, an increase of 40 minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media.

              What are the most popular social media platforms?
              Market leader Facebook was the first social network to surpass one billion registered accounts and currently boasts approximately 2.9 billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.

In 2004, a Harvard student launched a platform that would go on to redefine how humans connect. Fast forward to 2025, social media isn't just a way to stay in touch, it’s where people shop, learn, protest, play, and even find love. From early-morning scrolls to late-night reels, platforms have...

This dataset consists of 734 entries representing social media activity and performance from a local SME (Micro, Small, and Medium Enterprise) across TikTok, Instagram, and Twitter platforms. It captures key metrics related to audience interaction and content strategy effectiveness, and is valuable for evaluating and optimizing digital marketing efforts for small businesses.

Area : Target location or customer region where the UMKM's content is directed. Category : The business content category (e.g., product promotion, education, seasonal campaign). Day : The day of the week the content was published. Month : The month the post went live. Platform : The social media platform used by the UMKM (TikTok, Instagram, or Twitter). Post Type : The format of the content posted: image, video, carousel, or text. Timestamp : The exact date and time when the content was posted. User : The username or business account that posted the content. Week : Week number within the year for time-based analysis. Year : The year the content was posted. Comments : Total number of comments received on the post. Engagement Rate : A calculated metric showing how engaging the content is (based on likes, comments, shares vs. reach/impressions). Hour : Hour of the day the post was published. Impressions : Number of times the content appeared on users' feeds. Likes : Number of likes the post received. Reach : Number of unique users who saw the content. Shares : Number of times users shared the content.

Description:

The "Daily Social Media Active Users" dataset provides a comprehensive and dynamic look into the digital presence and activity of global users across major social media platforms. The data was generated to simulate real-world usage patterns for 13 popular platforms, including Facebook, YouTube, WhatsApp, Instagram, WeChat, TikTok, Telegram, Snapchat, X (formerly Twitter), Pinterest, Reddit, Threads, LinkedIn, and Quora. This dataset contains 10,000 rows and includes several key fields that offer insights into user demographics, engagement, and usage habits.

Dataset Breakdown:

• Platform: The name of the social media platform where the user activity is tracked. It includes globally recognized platforms, such as Facebook, YouTube, and TikTok, that are known for their large, active user bases.

• Owner: The company or entity that owns and operates the platform. Examples include Meta for Facebook, Instagram, and WhatsApp, Google for YouTube, and ByteDance for TikTok.

• Primary Usage: This category identifies the primary function of each platform. Social media platforms differ in their primary usage, whether it's for social networking, messaging, multimedia sharing, professional networking, or more.

• Country: The geographical region where the user is located. The dataset simulates global coverage, showcasing users from diverse locations and regions. It helps in understanding how user behavior varies across different countries.

• Daily Time Spent (min): This field tracks how much time a user spends on a given platform on a daily basis, expressed in minutes. Time spent data is critical for understanding user engagement levels and the popularity of specific platforms.

• Verified Account: Indicates whether the user has a verified account. This feature mimics real-world patterns where verified users (often public figures, businesses, or influencers) have enhanced status on social media platforms.

• Date Joined: The date when the user registered or started using the platform. This data simulates user account history and can provide insights into user retention trends or platform growth over time.

Context and Use Cases:

• This synthetic dataset is designed to offer a privacy-friendly alternative for analytics, research, and machine learning purposes. Given the complexities and privacy concerns around using real user data, especially in the context of social media, this dataset offers a clean and secure way to develop, test, and fine-tune applications, models, and algorithms without the risks of handling sensitive or personal information.

Researchers, data scientists, and developers can use this dataset to:

• Model User Behavior: By analyzing patterns in daily time spent, verified status, and country of origin, users can model and predict social media engagement behavior.

• Test Analytics Tools: Social media monitoring and analytics platforms can use this dataset to simulate user activity and optimize their tools for engagement tracking, reporting, and visualization.

• Train Machine Learning Algorithms: The dataset can be used to train models for various tasks like user segmentation, recommendation systems, or churn prediction based on engagement metrics.

• Create Dashboards: This dataset can serve as the foundation for creating user-friendly dashboards that visualize user trends, platform comparisons, and engagement patterns across the globe.

• Conduct Market Research: Business intelligence teams can use the data to understand how various demographics use social media, offering valuable insights into the most engaged regions, platform preferences, and usage behaviors.

• Sources of Inspiration: This dataset is inspired by public data from industry reports, such as those from Statista, DataReportal, and other market research platforms. These sources provide insights into the global user base and usage statistics of popular social media platforms. The synthetic nature of this dataset allows for the use of realistic engagement metrics without violating any privacy concerns, making it an ideal tool for educational, analytical, and research purposes.

The structure and design of the dataset are based on real-world usage patterns and aim to represent a variety of users from different backgrounds, countries, and activity levels. This diversity makes it an ideal candidate for testing data-driven solutions and exploring social media trends.

Future Considerations:

As the social media landscape continues to evolve, this dataset can be updated or extended to include new platforms, engagement metrics, or user behaviors. Future iterations may incorporate features like post frequency, follower counts, engagement rates (likes, comments, shares), or even sentiment analysis from user-generated content.

By leveraging this dataset, analysts and data scientists can create better, more effective strategies ...

1) Data Introduction • The Social Media Usage Dataset(Applications) features patterns and activity indicators that 1,000 users use seven major social media platforms, including Facebook, Instagram, and Twitter.

2) Data Utilization (1) Social Media Usage Dataset(Applications) has characteristics that: • This dataset provides different social media activity data for each user, including daily usage time, number of posts, number of likes received, and number of new followers. (2) Social Media Usage Dataset(Applications) can be used to: • Analysis of User Participation by Platform: You can analyze participation and popular trends by platform by comparing usage time and activity for each social media. • Establish marketing strategy: Based on user activity data, it can be used for targeted marketing, content production, and user retention strategies.

Users spend an average of 19.6 hours per month on TikTok alone. This works out to be approximately 39 minutes per day.

How does Truth Social compare to other social media platforms? There are around 2 million active Truth Social users.

The average Twitter user spends 5.1 hours per month on the platform.

Social Media Usage and Emotional Well-Being

This unique dataset was meticulously researched and prepared by AI Inventor Emirhan BULUT. It captures valuable information on social media usage and the dominant emotional state of users based on their activities. The dataset is ideal for exploring the relationship between social media usage patterns and emotional well-being.

Features:

• User_ID: Unique identifier for the user.
• Age: Age of the user.
• Gender: Gender of the user (Female, Male, Non-binary).
• Platform: Social media platform used (e.g., Instagram, Twitter, Facebook, LinkedIn, Snapchat, Whatsapp, Telegram).
• Daily_Usage_Time (minutes): Daily time spent on the platform in minutes.
• Posts_Per_Day: Number of posts made per day.
• Likes_Received_Per_Day: Number of likes received per day.
• Comments_Received_Per_Day: Number of comments received per day.
• Messages_Sent_Per_Day: Number of messages sent per day.
• Dominant_Emotion: User's dominant emotional state during the day (e.g., Happiness, Sadness, Anger, Anxiety, Boredom, Neutral).

Files:

• train.csv: Data for training models.
• test.csv: Data for testing models.
• val.csv: Data for validation purposes.

Usage:

This dataset can be used for various analyses, including but not limited to:

• Predicting users' emotional well-being based on their social media usage.
• Clustering users based on usage patterns.
• Examining the impact of different platforms on users' emotions.

Attribution:

You can use this dataset ethically and responsibly in accordance with the MIT license for educational and research purposes. If you use this dataset in your work, a citation or reference to this dataset would be appreciated.

As of February 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usage Currently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events and friends. Global impact of social media Social media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased polarization in politics, and heightened everyday distractions.

YouTube gets an average of 14.3 billion total worldwide visits every month.

Snapchat now boasts over 319 million daily active users. That means it’s one of the most engaging platforms. Snapchat currently has a total user base of 800 million.

Introduction

Millennials on Social Media Statistics: Since the lockdown, people who never existed on the internet have created accounts on social media. As stated in these Millennials On Social Media Statistics, more than 50% of millennial users go online. The use of social media is increasing daily. Social media is gaining popularity not only among millennials but also among other generations.

However, the use of these platforms is growing extensively among all generations. These statistics guide recent insights, including the preferences for product research on social media, back-to-school shopping, etc.Â

Update 17Mar2025: I'm working scraped BlueSky posts into this dataset as well. If there is enough of them, I will start to stop scraping X posts. I'm not convinced that X posts represent public sentiment at this time.

About Dataset

Context This is a dataset of X and Reddit posts and comments mentioning Fortune 1000 companies. It contains several hundred thousand posts and comments extracted using the X and Reddit api.

Content It contains the following fields:

id: Unique ID assigned to each post and comment.

text: The text of the post or comment.

author: Unique identifier of the author of the post.

created at: Date on which the post or comment was made.

likes: post likes

retweets (X only): retweets

replies (X only): post replies

views: post views

engagement_rate: represents the relative engagement of the post or comment.

subreddit (Reddit only): identified the subReddit from which the post or comment came.

score (Reddit only): Total of upvotes and downvotes.

upvote_ratio (Reddit only): Upvote to downvote ratio

num_comments (Reddit only): Number of post comments.

Methods Scraping runs 24/7. Data is compiled into the dataset once per business day. Posts are scraped from Reddit and X, but only Reddit is scraped for comments. Comments are only scraped if they are on a post that mentions a Fortune 1000 company, and only if they also mention a Fortune 1000 company.

Each business day, raw data is compiled into a dataset file. Those are the files posted here, labelled with the date they were compiled. At compilation, data is deduplicated, and all posts and comments older than 60 days are deleted. Hence, if you compare two dataset files posted here, there will be data overlap. If you would like data from a date range wider than 60 days, you will need to dedeplicate between files.

Citation All content belongs to the original authors. I neither own nor claim any part of this dataset. All posts contained in this dataset were public at the time of capture. Please contact me to have any content removed.

You are free to use this dataset for any legal, noncommercial purpose. It is not necessary to cite this dataset, but if you wish to, you can cite:

Gaudineer, J. L., 2025. Social Media Posts- Fortune 1000 Companies.

Social media algorithms now shape the information we see. In 2025, over 5.4 billion people will engage with personalized feeds daily, each tailored by complex models that sort, amplify, or bury content based on real-time behavior. These algorithms affect everything from advertising campaigns to political messaging, and even how quickly...

Snapchat has a reach into 75% of the millenial and Gen Z audience.

You might be surprised how much Truth Social is worth based on its small number of users.

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Dataset identifies the number of posts per day during our data collection efforts and the posts/comments included in our analysis

The Instagram Reach Forecasting dataset contains data on the reach of Instagram posts for a period of 100 days. The data includes the following features:

Post ID: The unique identifier for each post. Date: The date the post was published. Reach: The number of people who saw the post. Engagement: The number of likes, comments, and shares the post received. Hashtags: The hashtags used in the post. User Count: The number of users who follow the account that published the post. Category: The category of the post (e.g., food, travel, fashion). This dataset can be used to train machine learning models to forecast the reach of Instagram posts. This information can be used by businesses and individuals to optimize their Instagram marketing campaigns.

Here are some of the ways this dataset can be used:

Businesses: Businesses can use this dataset to forecast the reach of their Instagram posts and optimize their marketing campaigns. For example, a business could use this data to determine which hashtags are most effective at reaching their target audience. Individuals: Individuals can use this dataset to track their own Instagram reach and improve their social media strategy. For example, an individual could use this data to determine which times of day they should post to get the most reach.