100+ datasets found
  1. Daily Social Media Active Users

    • kaggle.com
    zip
    Updated May 5, 2025
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    Shaik Barood Mohammed Umar Adnaan Faiz (2025). Daily Social Media Active Users [Dataset]. https://www.kaggle.com/datasets/umeradnaan/daily-social-media-active-users
    Explore at:
    zip(126814 bytes)Available download formats
    Dataset updated
    May 5, 2025
    Authors
    Shaik Barood Mohammed Umar Adnaan Faiz
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    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 ...

  2. Social Media Usage and User Behavior

    • kaggle.com
    zip
    Updated Jan 8, 2025
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    SIMRAN DESAI (2025). Social Media Usage and User Behavior [Dataset]. https://www.kaggle.com/datasets/simrandesai1616/social-media-behavior
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    zip(9184 bytes)Available download formats
    Dataset updated
    Jan 8, 2025
    Authors
    SIMRAN DESAI
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    The dataset comes from a Social Media Analysis survey that aims to analyse user behavior on social media, focusing on attention monetization and engagement based on 110+ self-reported responses. It was conducted using Google Forms, with diverse participants to capture varying user profiles and the variance in levels of awareness about social media's impact on daily routines.

  3. c

    Social Media Usage Dataset(Applications)

    • cubig.ai
    zip
    Updated May 28, 2025
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    CUBIG (2025). Social Media Usage Dataset(Applications) [Dataset]. https://cubig.ai/store/products/321/social-media-usage-datasetapplications
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Synthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacy
    Description

    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.

  4. Number of global social network users 2017-2028

    • statista.com
    • de.statista.com
    + more versions
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    Stacy Jo Dixon, Number of global social network users 2017-2028 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    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.
    
  5. Social Media and Mental Health

    • kaggle.com
    zip
    Updated Jul 18, 2023
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    SouvikAhmed071 (2023). Social Media and Mental Health [Dataset]. https://www.kaggle.com/datasets/souvikahmed071/social-media-and-mental-health
    Explore at:
    zip(10944 bytes)Available download formats
    Dataset updated
    Jul 18, 2023
    Authors
    SouvikAhmed071
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    This dataset was originally collected for a data science and machine learning project that aimed at investigating the potential correlation between the amount of time an individual spends on social media and the impact it has on their mental health.

    The project involves conducting a survey to collect data, organizing the data, and using machine learning techniques to create a predictive model that can determine whether a person should seek professional help based on their answers to the survey questions.

    This project was completed as part of a Statistics course at a university, and the team is currently in the process of writing a report and completing a paper that summarizes and discusses the findings in relation to other research on the topic.

    The following is the Google Colab link to the project, done on Jupyter Notebook -

    https://colab.research.google.com/drive/1p7P6lL1QUw1TtyUD1odNR4M6TVJK7IYN

    The following is the GitHub Repository of the project -

    https://github.com/daerkns/social-media-and-mental-health

    Libraries used for the Project -

    Pandas
    Numpy
    Matplotlib
    Seaborn
    Sci-kit Learn
    
  6. Average daily time spent on social media worldwide 2012-2024

    • statista.com
    • de.statista.com
    + more versions
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    Stacy Jo Dixon, Average daily time spent on social media worldwide 2012-2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    How much time do people spend on social media?

                  As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 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 three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in
                  the U.S. was just two hours and 16 minutes. Global social media usageCurrently, 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 friends. Global impact of social mediaSocial 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 a polarization in politics and heightened everyday distractions.
    
  7. Social Media Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Sep 7, 2022
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    Bright Data (2022). Social Media Datasets [Dataset]. https://brightdata.com/products/datasets/social-media
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Sep 7, 2022
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Gain valuable insights with our comprehensive Social Media Dataset, designed to help businesses, marketers, and analysts track trends, monitor engagement, and optimize strategies. This dataset provides structured and reliable social media data from multiple platforms.

    Dataset Features

    User Profiles: Access public social media profiles, including usernames, bios, follower counts, engagement metrics, and more. Ideal for audience analysis, influencer marketing, and competitive research. Posts & Content: Extract posts, captions, hashtags, media (images/videos), timestamps, and engagement metrics such as likes, shares, and comments. Useful for trend analysis, sentiment tracking, and content strategy optimization. Comments & Interactions: Analyze user interactions, including replies, mentions, and discussions. This data helps brands understand audience sentiment and engagement patterns. Hashtag & Trend Tracking: Monitor trending hashtags, topics, and viral content across platforms to stay ahead of industry trends and consumer interests.

    Customizable Subsets for Specific Needs Our Social Media Dataset is fully customizable, allowing you to filter data based on platform, region, keywords, engagement levels, or specific user profiles. Whether you need a broad dataset for market research or a focused subset for brand monitoring, we tailor the dataset to your needs.

    Popular Use Cases

    Brand Monitoring & Reputation Management: Track brand mentions, customer feedback, and sentiment analysis to manage online reputation effectively. Influencer Marketing & Audience Analysis: Identify key influencers, analyze engagement metrics, and optimize influencer partnerships. Competitive Intelligence: Monitor competitor activity, content performance, and audience engagement to refine marketing strategies. Market Research & Consumer Insights: Analyze social media trends, customer preferences, and emerging topics to inform business decisions. AI & Predictive Analytics: Leverage structured social media data for AI-driven trend forecasting, sentiment analysis, and automated content recommendations.

    Whether you're tracking brand sentiment, analyzing audience engagement, or monitoring industry trends, our Social Media Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

  8. Social media as a news outlet worldwide 2024

    • statista.com
    • de.statista.com
    + more versions
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    Amy Watson, Social media as a news outlet worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Amy Watson
    Description

    During a 2024 survey, 77 percent of respondents from Nigeria stated that they used social media as a source of news. In comparison, just 23 percent of Japanese respondents said the same. Large portions of social media users around the world admit that they do not trust social platforms either as media sources or as a way to get news, and yet they continue to access such networks on a daily basis.

                  Social media: trust and consumption
    
                  Despite the majority of adults surveyed in each country reporting that they used social networks to keep up to date with news and current affairs, a 2018 study showed that social media is the least trusted news source in the world. Less than 35 percent of adults in Europe considered social networks to be trustworthy in this respect, yet more than 50 percent of adults in Portugal, Poland, Romania, Hungary, Bulgaria, Slovakia and Croatia said that they got their news on social media.
    
                  What is clear is that we live in an era where social media is such an enormous part of daily life that consumers will still use it in spite of their doubts or reservations. Concerns about fake news and propaganda on social media have not stopped billions of users accessing their favorite networks on a daily basis.
                  Most Millennials in the United States use social media for news every day, and younger consumers in European countries are much more likely to use social networks for national political news than their older peers.
                  Like it or not, reading news on social is fast becoming the norm for younger generations, and this form of news consumption will likely increase further regardless of whether consumers fully trust their chosen network or not.
    
  9. Planned changes in use of selected social media for organic marketing...

    • statista.com
    • de.statista.com
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    Christopher Ross, Planned changes in use of selected social media for organic marketing worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Christopher Ross
    Description

    During a January 2024 global survey among marketers, nearly 60 percent reported plans to increase their organic use of YouTube for marketing purposes in the following 12 months. LinkedIn and Instagram followed, respectively mentioned by 57 and 56 percent of the respondents intending to use them more. According to the same survey, Facebook was the most important social media platform for marketers worldwide.

  10. Social Media Aspects

    • kaggle.com
    zip
    Updated Apr 3, 2025
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    Arshad Rahman Ziban (2025). Social Media Aspects [Dataset]. https://www.kaggle.com/datasets/arshadrahmanziban/social-media-aspects
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    zip(974 bytes)Available download formats
    Dataset updated
    Apr 3, 2025
    Authors
    Arshad Rahman Ziban
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset contains survey responses about social media usage patterns and their perceived effects on relationships and mental health. The data was collected from individuals primarily in the 18-25 age group.

  11. s

    Dataset for Social Media Activity, Number of Friends, and Relationship...

    • eprints.soton.ac.uk
    Updated Jul 8, 2022
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    Elder, Lindsay; Brignell, Catherine; Cooke, Tim (2022). Dataset for Social Media Activity, Number of Friends, and Relationship Quality [Dataset]. http://doi.org/10.5258/SOTON/D1955
    Explore at:
    Dataset updated
    Jul 8, 2022
    Dataset provided by
    University of Southampton
    Authors
    Elder, Lindsay; Brignell, Catherine; Cooke, Tim
    Description

    The data from my thesis. This data was collected using the Lifeguide Software and exported onto SPSS following data collection. The data was collected from young people aged 11-18 years old to explore the impact of different types of social media use.

  12. d

    Social Media

    • catalog.data.gov
    • s.cnmilf.com
    Updated Feb 24, 2023
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    opendata.maryland.gov (2023). Social Media [Dataset]. https://catalog.data.gov/dataset/social-media
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    Dataset updated
    Feb 24, 2023
    Dataset provided by
    opendata.maryland.gov
    Description

    Department of Labor Social Media information (description updated 2/17/2023)

  13. Original social media data

    • figshare.com
    txt
    Updated May 13, 2023
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    Christine Tunkl (2023). Original social media data [Dataset]. http://doi.org/10.6084/m9.figshare.22816361.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 13, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Christine Tunkl
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The hereby presented data are extracted from Meta, Tiktok and Twitter.

  14. f

    Data set belonging to Beyens et al. (2020). The effect of social media on...

    • uvaauas.figshare.com
    • narcis.nl
    bin
    Updated May 30, 2023
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    I. Beyens; J.L. Pouwels; I.I. van Driel; Loes Keijsers; P.M. Valkenburg (2023). Data set belonging to Beyens et al. (2020). The effect of social media on well-being differs from adolescent to adolescent [Dataset]. http://doi.org/10.21942/uva.12497990.v2
    Explore at:
    binAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    I. Beyens; J.L. Pouwels; I.I. van Driel; Loes Keijsers; P.M. Valkenburg
    License

    http://rdm.uva.nl/en/support/confidential-data.htmlhttp://rdm.uva.nl/en/support/confidential-data.html

    Description

    This data set belongs to:Beyens, I., Pouwels, J. L., van Driel, I. I., Keijsers, L., & Valkenburg, P. M. (2020). The effect of social media on well-being differs from adolescent to adolescent. Scientific Reports. doi:10.1038/s41598-020-67727-7The design, sampling and analysis plan of the study are available on the Open Science Framework (OSF) at https://osf.io/nhks2.For more information, please contact the authors at i.beyens@uva.nl or info@project-awesome.nl.

  15. Social Media Channels and Statistics at the National Archives

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Nov 7, 2024
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    National Archives and Records Administration (2024). Social Media Channels and Statistics at the National Archives [Dataset]. https://catalog.data.gov/dataset/social-media-channels-and-statistics-at-the-national-archives
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    Dataset updated
    Nov 7, 2024
    Dataset provided by
    National Archives and Records Administrationhttp://www.archives.gov/
    Description

    More than 100 social media channels and statistics for the National Archives and Records Administration.

  16. B

    Replication Data for: Social media usage and the differences between...

    • borealisdata.ca
    • search.dataone.org
    Updated Apr 17, 2023
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    Rayyah Sempala (2023). Replication Data for: Social media usage and the differences between different demographics [Dataset]. http://doi.org/10.5683/SP3/ET2X9D
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 17, 2023
    Dataset provided by
    Borealis
    Authors
    Rayyah Sempala
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Survey data collected in Canada, 2019. n = 1539. Using, Age, Facebook use and meme understanding to determine differences between demographics in relation to Instagram use

  17. Leading social media usage reasons worldwide 2024

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, Leading social media usage reasons worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    A global survey conducted in the third quarter of 2024 found that the main reason for using social media was to keep in touch with friends and family, with over 50.8 percent of social media users saying this was their main reason for using online networks. Overall, 39 percent of social media users said that filling spare time was their main reason for using social media platforms, whilst 34.5 percent of respondents said they used it to read news stories. Less than one in five users were on social platforms for the reason of following celebrities and influencers.

                  The most popular social network
    
                  Facebook dominates the social media landscape. The world's most popular social media platform turned 20 in February 2024, and it continues to lead the way in terms of user numbers. As of February 2025, the social network had over three billion global users. YouTube, Instagram, and WhatsApp follow, but none of these well-known brands can surpass Facebook’s audience size.
                  Moreover, as of the final quarter of 2023, there were almost four billion Meta product users.
    
                  Ever-evolving social media usage
    
                  The utilization of social media remains largely gratuitous; however, companies have been encouraging users to become paid subscribers to reduce dependence on advertising profits. Meta Verified entices users by offering a blue verification badge and proactive account protection, among other things. X (formerly Twitter), Snapchat, and Reddit also offer users the chance to upgrade their social media accounts for a monthly free.
    
  18. Global social network penetration 2019-2028

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, Global social network penetration 2019-2028 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    The global social media penetration rate in was forecast to continuously increase between 2024 and 2028 by in total 11.6 (+18.19 percent). After the ninth consecutive increasing year, the penetration rate is estimated to reach 75.31 and therefore a new peak in 2028. Notably, the social media penetration rate of was continuously increasing over the past years.

  19. Social media usage by local government - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 8, 2010
    + more versions
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    ckan.publishing.service.gov.uk (2010). Social media usage by local government - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/social-media-usage-by-local-government
    Explore at:
    Dataset updated
    Jun 8, 2010
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    A list of UK local authorities which are using social media such as Facebook, Twitter, YouTube. Also includes those with RSS feeds, web development blogs and open data.

  20. Leading social media platforms used by marketers worldwide 2024

    • statista.com
    • de.statista.com
    + more versions
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    Christopher Ross, Leading social media platforms used by marketers worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Christopher Ross
    Description

    During a 2024 survey among marketers worldwide, around 86 percent reported using Facebook for marketing purposes. Instagram and LinkedIn followed, respectively mentioned by 79 and 65 percent of the respondents.

                  The global social media marketing segment
    
                  According to the same study, 59 percent of responding marketers intended to increase their organic use of YouTube for marketing purposes throughout that year. LinkedIn and Instagram followed with similar shares, rounding up the top three social media platforms attracting a planned growth in organic use among global marketers in 2024. Their main driver is increasing brand exposure and traffic, which led the ranking of benefits of social media marketing worldwide.
    
                  Social media for B2B marketing
    
                  Social media platform adoption rates among business-to-consumer (B2C) and business-to-business (B2B) marketers vary according to each subsegment's focus. While B2C professionals prioritize Facebook and Instagram – both run by Meta, Inc. – due to their popularity among online audiences, B2B marketers concentrate their endeavors on Microsoft-owned LinkedIn due to its goal to connect people and companies in a corporate context.
    
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Shaik Barood Mohammed Umar Adnaan Faiz (2025). Daily Social Media Active Users [Dataset]. https://www.kaggle.com/datasets/umeradnaan/daily-social-media-active-users
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Daily Social Media Active Users

"A thorough dataset that displays user activity on major social media platforms

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Dataset updated
May 5, 2025
Authors
Shaik Barood Mohammed Umar Adnaan Faiz
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

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 ...

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