79 datasets found
  1. Facebook: distribution of global audiences 2024, by age and gender

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
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    Stacy Jo Dixon (2025). Facebook: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

                  Facebook connects the world
    
                  Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
                  as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.
    
  2. Instagram: distribution of global audiences 2024, by gender

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
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    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

                  Instagram’s Global Audience
    
                  As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
                  As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.
    
                  Who is winning over the generations?
    
                  Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.
    
  3. My Digital Footprint

    • kaggle.com
    zip
    Updated Jun 29, 2023
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    Girish (2023). My Digital Footprint [Dataset]. https://www.kaggle.com/datasets/girish17019/my-digital-footprint
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    zip(874430159 bytes)Available download formats
    Dataset updated
    Jun 29, 2023
    Authors
    Girish
    Description

    Dataset Info:

    MyDigitalFootprint (MDF) is a novel large-scale dataset composed of smartphone embedded sensors data, physical proximity information, and Online Social Networks interactions aimed at supporting multimodal context-recognition and social relationships modelling in mobile environments. The dataset includes two months of measurements and information collected from the personal mobile devices of 31 volunteer users by following the in-the-wild data collection approach: the data has been collected in the users' natural environment, without limiting their usual behaviour. Existing public datasets generally consist of a limited set of context data, aimed at optimising specific application domains (human activity recognition is the most common example). On the contrary, the dataset contains a comprehensive set of information describing the user context in the mobile environment.

    The complete analysis of the data contained in MDF has been presented in the following publication:

    https://www.sciencedirect.com/science/article/abs/pii/S1574119220301383?via%3Dihub

    The full anonymised dataset is contained in the folder MDF. Moreover, in order to demonstrate the efficacy of MDF, there are three proof of concept context-aware applications based on different machine learning tasks:

    1. A social link prediction algorithm based on physical proximity data,
    2. The recognition of daily-life activities based on smartphone-embedded sensors data,
    3. A pervasive context-aware recommender system.

    For the sake of reproducibility, the data used to evaluate the proof-of-concept applications are contained in the folders link-prediction, context-recognition, and cars, respectively.

  4. Mobile Penetration Rate

    • data.gov.sg
    Updated Jun 6, 2024
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    Info-communications Media Development Authority (2024). Mobile Penetration Rate [Dataset]. https://data.gov.sg/dataset/mobile-penetration-rate
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    Dataset updated
    Jun 6, 2024
    Dataset provided by
    Infocomm Media Development Authorityhttp://www.imda.gov.sg/
    Authors
    Info-communications Media Development Authority
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jan 1997 - May 2019
    Description

    Dataset from Info-communications Media Development Authority. For more information, visit https://data.gov.sg/datasets/d_5fb7ffda1ffd756151b1650d4c64363c/view

  5. Instagram accounts with the most followers worldwide 2024

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
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    Stacy Jo Dixon (2025). Instagram accounts with the most followers worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

                  The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.
    
                  How popular is Instagram?
    
                  Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.
    
                  Who uses Instagram?
    
                  Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.
    
                  Celebrity influencers on Instagram
                  Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.
    
  6. Pakistan Internet Usage: Social Media Market Share: Mobile: Sina Weibo

    • ceicdata.com
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    CEICdata.com, Pakistan Internet Usage: Social Media Market Share: Mobile: Sina Weibo [Dataset]. https://www.ceicdata.com/en/pakistan/internet-usage-social-media-market-share/internet-usage-social-media-market-share-mobile-sina-weibo
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 10, 2024 - Mar 17, 2024
    Area covered
    Pakistan
    Description

    Pakistan Internet Usage: Social Media Market Share: Mobile: Sina Weibo data was reported at 0.000 % in 17 Mar 2024. This stayed constant from the previous number of 0.000 % for 16 Mar 2024. Pakistan Internet Usage: Social Media Market Share: Mobile: Sina Weibo data is updated daily, averaging 0.000 % from Mar 2024 (Median) to 17 Mar 2024, with 8 observations. The data reached an all-time high of 0.200 % in 13 Mar 2024 and a record low of 0.000 % in 17 Mar 2024. Pakistan Internet Usage: Social Media Market Share: Mobile: Sina Weibo data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Pakistan – Table PK.SC.IU: Internet Usage: Social Media Market Share.

  7. d

    US B2B Marketing Data | 148MM B2B Marketing Contacts: Email, Phone + Social...

    • datarade.ai
    .json, .csv, .xls
    Updated Oct 16, 2023
    + more versions
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    Salutary Data (2023). US B2B Marketing Data | 148MM B2B Marketing Contacts: Email, Phone + Social Media Marketing Data [Dataset]. https://datarade.ai/data-products/salutary-data-direct-marketing-data-62m-us-b2b-contacts-salutary-data
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Oct 16, 2023
    Dataset authored and provided by
    Salutary Data
    Area covered
    United States
    Description

    Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

    We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

    What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

    Products: API Suite Web UI Full and Custom Data Feeds

    Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

  8. Instagram: distribution of global audiences 2024, by age and gender

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
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    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

                  Teens and social media
    
                  As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
                  Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.
    
  9. Maldives Internet Usage: Social Media Market Share: Mobile: Fark

    • ceicdata.com
    Updated Oct 5, 2024
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    CEICdata.com (2024). Maldives Internet Usage: Social Media Market Share: Mobile: Fark [Dataset]. https://www.ceicdata.com/en/maldives/internet-usage-social-media-market-share
    Explore at:
    Dataset updated
    Oct 5, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Sep 27, 2024 - Oct 5, 2024
    Area covered
    Maldives
    Description

    Internet Usage: Social Media Market Share: Mobile: Fark data was reported at 0.000 % in 05 Oct 2024. This stayed constant from the previous number of 0.000 % for 04 Oct 2024. Internet Usage: Social Media Market Share: Mobile: Fark data is updated daily, averaging 0.000 % from Sep 2024 (Median) to 05 Oct 2024, with 9 observations. The data reached an all-time high of 0.190 % in 01 Oct 2024 and a record low of 0.000 % in 05 Oct 2024. Internet Usage: Social Media Market Share: Mobile: Fark data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Maldives – Table MV.SC.IU: Internet Usage: Social Media Market Share.

  10. Instagram: distribution of global audiences 2024, by age group

    • statista.com
    • davegsmith.com
    Updated Jun 17, 2025
    + more versions
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    Stacy Jo Dixon (2025). Instagram: distribution of global audiences 2024, by age group [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

                  Instagram users
    
                  With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.
    
                  Instagram features
    
                  One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
                  As of the second quarter of 2021, Snapchat had 293 million daily active users.
    
  11. Social Media vs Productivity

    • kaggle.com
    Updated May 15, 2025
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    Mahdi Mashayekhi (2025). Social Media vs Productivity [Dataset]. https://www.kaggle.com/datasets/mahdimashayekhi/social-media-vs-productivity/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 15, 2025
    Dataset provided by
    Kaggle
    Authors
    Mahdi Mashayekhi
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    📊 Social Media vs Productivity — Realistic Behavioral Dataset (30,000 Users)

    This dataset explores how daily digital habits — including social media usage, screen time, and notification exposure — relate to individual productivity, stress, and well-being.

    🔍 What’s Inside?

    The dataset contains 30,000 real-world-style records simulating behavioral patterns of people with various jobs, social habits, and lifestyle choices. The goal is to understand how different digital behaviors correlate with perceived and actual productivity.

    🧠 Why This Dataset is Valuable

    • Designed for real-world ML workflows
      Includes missing values, noise, and outliers — ideal for practicing data cleaning and preprocessing.

    • 🔗 High correlation between target features
      The perceived_productivity_score and actual_productivity_score are strongly correlated, making this dataset suitable for experiments in feature selection and multicollinearity.

    • 🛠️ Feature Engineering playground
      Use this dataset to practice feature scaling, encoding, binning, interaction terms, and more.

    • 🧪 Perfect for EDA, regression & classification
      You can model productivity, stress, or satisfaction based on behavior patterns and digital exposure.

    🧾 Columns & Feature Info

    Column NameDescription
    ageAge of the individual (18–65 years)
    genderGender identity: Male, Female, or Other
    job_typeEmployment sector or status (IT, Education, Student, etc.)
    daily_social_media_timeAverage daily time spent on social media (hours)
    social_platform_preferenceMost-used social platform (Instagram, TikTok, Telegram, etc.)
    number_of_notificationsNumber of mobile/social notifications per day
    work_hours_per_dayAverage hours worked each day
    perceived_productivity_scoreSelf-rated productivity score (scale: 0–10)
    actual_productivity_scoreSimulated ground-truth productivity score (scale: 0–10)
    stress_levelCurrent stress level (scale: 1–10)
    sleep_hoursAverage hours of sleep per night
    screen_time_before_sleepTime spent on screens before sleeping (hours)
    breaks_during_workNumber of breaks taken during work hours
    uses_focus_appsWhether the user uses digital focus apps (True/False)
    has_digital_wellbeing_enabledWhether Digital Wellbeing is activated (True/False)
    coffee_consumption_per_dayNumber of coffee cups consumed per day
    days_feeling_burnout_per_monthNumber of burnout days reported per month
    weekly_offline_hoursTotal hours spent offline each week (excluding sleep)
    job_satisfaction_scoreSatisfaction with job/life responsibilities (scale: 0–10)

    📌 Notes

    • Contains NaN values in critical columns (productivity, sleep, stress) for data imputation tasks
    • Includes outliers in media usage, coffee intake, and notification count
    • Target columns are strongly correlated for multicollinearity testing
    • Multi-purpose: regression, classification, clustering, visualization

    💡 Use Cases

    • Exploratory Data Analysis (EDA)
    • Feature engineering pipelines
    • Machine learning model benchmarking
    • Statistical hypothesis testing
    • Burnout and mental health prediction projects

    📥 Bonus

    👉 Sample notebook coming soon with data cleaning, visualization, and productivity prediction!

  12. Usage of Mobile Devices for Media Activities

    • data.gov.sg
    Updated Jun 5, 2024
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    Info-communications Media Development Authority (2024). Usage of Mobile Devices for Media Activities [Dataset]. https://data.gov.sg/datasets?q=&ext_type=dataset&groups=&organization=&query=Media&resultId=d_185071db94c8146a103684ce7614a454
    Explore at:
    Dataset updated
    Jun 5, 2024
    Dataset provided by
    Infocomm Media Development Authorityhttp://www.imda.gov.sg/
    Authors
    Info-communications Media Development Authority
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Dec 2012 - Dec 2015
    Description

    Dataset from Info-communications Media Development Authority. For more information, visit https://data.gov.sg/datasets/d_185071db94c8146a103684ce7614a454/view

  13. Total SMS Messages sent and received over mobile network

    • data.gov.sg
    Updated Jun 6, 2024
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    Info-communications Media Development Authority (2024). Total SMS Messages sent and received over mobile network [Dataset]. https://data.gov.sg/datasets/d_6a4dd5b11b8b6e10c3e11e7cf9a722ec/view
    Explore at:
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    Infocomm Media Development Authorityhttp://www.imda.gov.sg/
    Authors
    Info-communications Media Development Authority
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jul 2008 - Mar 2019
    Description

    Dataset from Info-communications Media Development Authority. For more information, visit https://data.gov.sg/datasets/d_6a4dd5b11b8b6e10c3e11e7cf9a722ec/view

  14. Enhancing User Attitudes through Mobile Marketing: The Roles of...

    • zenodo.org
    Updated Jun 17, 2025
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    Kusumah Arif Prihatna; Kusumah Arif Prihatna (2025). Enhancing User Attitudes through Mobile Marketing: The Roles of Informativeness and Brand Satisfaction in Social Media Advertising RESPONSE DATA [Dataset]. http://doi.org/10.5281/zenodo.15681874
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kusumah Arif Prihatna; Kusumah Arif Prihatna
    License

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

    Description

    This dataset contains response data collected for the research titled “Enhancing User Attitudes through Mobile Marketing: The Roles of Informativeness and Brand Satisfaction in Social Media Advertising.” The data were obtained through an online questionnaire distributed among Gen-Z respondents. The dataset includes variables related to attitude toward social media advertisement, mobile marketing, informativeness, and brand satisfaction.

  15. d

    Telemarketing Data | Global Coverage | +95% Email and Phone Data Accuracy

    • datarade.ai
    .json, .csv
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    Forager.ai, Telemarketing Data | Global Coverage | +95% Email and Phone Data Accuracy [Dataset]. https://datarade.ai/data-products/global-telemarketing-data-90m-accurate-mobile-numbers-ap-forager-ai
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Forager.ai
    Area covered
    Isle of Man, Sint Eustatius and Saba, Nicaragua, Cook Islands, Austria, Swaziland, Iraq, Cameroon, Nigeria, Kazakhstan
    Description

    Global Telemarketing Data | 95% Phone & Email Accuracy | 270M+ Verified Contacts Forager.ai redefines telemarketing success with the world’s most actionable contact database. We combine 100M+ mobile numbers and 170M+ verified emails with deep company insights – all updated every 14 days to maintain 95% accuracy rates that outperform legacy providers.

    Why Telemarketing Teams Choose Us ✅ Dual-Channel Verified Every record confirms both working mobile numbers AND valid Personal email or Work email addresses – critical for multi-touch campaigns.

    ✅ Decision-Maker Intel 41% of contacts hold budget authority (Director to C-Suite) with:

    Direct mobile numbers

    Verified corporate emails

    Department hierarchy mapping

    Purchase intent signals

    ✅ Freshness Engine Bi-weekly verification sweeps catch: ✖ Job changers (23% of database monthly) ✖ Company restructuring ✖ Number/email deactivations

    ✅ Compliance Built-In Automated opt-out management + full GDPR/CCPA documentation.

    Your Complete Telemarketing Toolkit Core Data Points: ✔ Direct dial mobile/work numbers ✔ Verified corporate email addresses ✔ Job title & decision-making authority ✔ Company size/revenue/tech stack ✔ Department structure & team size ✔ Location data (HQ/local offices) ✔ LinkedIn/Social media validation

    Proven Use Cases • Cold Calling 2.0: Target CROs with mobile numbers + know their tech stack before dialing • Email-to-Call Sequencing: Match verified emails to mobile numbers for 360° outreach • List Hygiene: Clean existing CRM contacts against our live database • Market Expansion: Target specific employee counts (50-200 person companies) • Event Follow-Ups: Re-engage webinar/trade show leads with updated contact info

    Enterprise-Grade Delivery

    Real-Time API: Connect to Five9/Aircall/Salesforce

    CRM-Ready Files: CSV with custom fields

    Compliance Hub: Automated opt-out tracking

    PostgreSQL Sync/ JSON files: 2-3 weeks updates for large datasets

    Why We Outperform Competitors → 62% Connect Rate: Actual client result vs. industry 38% average → 3:1 ROI Guarantee: We’ll prove value or extend your license → Free Audit: Upload 10K contacts – we’ll show % salvageable

    Need Convincing? Free API test account → Experience our accuracy firsthand. See why 89% of trial users convert to paid plans.

    Telemarketing Data | Verified Contact Database | Cold Calling Lists | Phone & Email Data | Decision-Maker Contacts | CRM Enrichment | GDPR-Compliant Leads | B2B Contact Data | Sales Prospecting | ABM Targeting

  16. P

    TikTok Dataset Dataset

    • paperswithcode.com
    Updated Jul 22, 2024
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    Yasamin Jafarian; Hyun Soo Park (2024). TikTok Dataset Dataset [Dataset]. https://paperswithcode.com/dataset/tiktok-dataset
    Explore at:
    Dataset updated
    Jul 22, 2024
    Authors
    Yasamin Jafarian; Hyun Soo Park
    Description

    We learn high fidelity human depths by leveraging a collection of social media dance videos scraped from the TikTok mobile social networking application. It is by far one of the most popular video sharing applications across generations, which include short videos (10-15 seconds) of diverse dance challenges as shown above. We manually find more than 300 dance videos that capture a single person performing dance moves from TikTok dance challenge compilations for each month, variety, type of dances, which are moderate movements that do not generate excessive motion blur. For each video, we extract RGB images at 30 frame per second, resulting in more than 100K images. We segmented these images using Removebg application, and computed the UV coordinates from DensePose.

    Download TikTok Dataset:

    Please use the dataset only for the research purpose.

    The dataset can be viewed and downloaded from the Kaggle page. (you need to make an account in Kaggle to be able to download the data. It is free!)

    The dataset can also be downloaded from here (42 GB). The dataset resolution is: (1080 x 604)

    The original YouTube videos corresponding to each sequence and the dance name can be downloaded from here (2.6 GB).

  17. Total Mobile Phone Subscriptions

    • data.gov.sg
    Updated Jun 6, 2024
    + more versions
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    Info-communications Media Development Authority (2024). Total Mobile Phone Subscriptions [Dataset]. https://data.gov.sg/datasets/d_c2b4d1a2c9bfc5d0df58dd339d8121a0/view
    Explore at:
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    Infocomm Media Development Authorityhttp://www.imda.gov.sg/
    Authors
    Info-communications Media Development Authority
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jan 1997 - Oct 2017
    Description

    Dataset from Info-communications Media Development Authority. For more information, visit https://data.gov.sg/datasets/d_c2b4d1a2c9bfc5d0df58dd339d8121a0/view

  18. Iraq Internet Usage: Social Media Market Share: Mobile: news.ycombinator.com...

    • ceicdata.com
    Updated Jun 9, 2024
    + more versions
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    CEICdata.com (2024). Iraq Internet Usage: Social Media Market Share: Mobile: news.ycombinator.com [Dataset]. https://www.ceicdata.com/en/iraq/internet-usage-social-media-market-share/internet-usage-social-media-market-share-mobile-newsycombinatorcom
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    Dataset updated
    Jun 9, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 2, 2024 - Jun 9, 2024
    Area covered
    Iraq
    Description

    Iraq Internet Usage: Social Media Market Share: Mobile: news.ycombinator.com data was reported at 0.030 % in 09 Jun 2024. This records an increase from the previous number of 0.000 % for 08 Jun 2024. Iraq Internet Usage: Social Media Market Share: Mobile: news.ycombinator.com data is updated daily, averaging 0.000 % from Jun 2024 (Median) to 09 Jun 2024, with 8 observations. The data reached an all-time high of 0.050 % in 05 Jun 2024 and a record low of 0.000 % in 08 Jun 2024. Iraq Internet Usage: Social Media Market Share: Mobile: news.ycombinator.com data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Iraq – Table IQ.SC.IU: Internet Usage: Social Media Market Share.

  19. e

    Research Data for How Mobile Games Are Revolutionizing Virtual Economies

    • scholar-hz3al.lolm.eu.org
    • scholar-lgztf.lolm.eu.org
    csv, json
    Updated Jul 13, 2025
    + more versions
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    Dr. Evelyn Griffin (2025). Research Data for How Mobile Games Are Revolutionizing Virtual Economies [Dataset]. http://doi.org/10.1069/fixnt-data
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    json, csvAvailable download formats
    Dataset updated
    Jul 13, 2025
    Authors
    Dr. Evelyn Griffin
    Variables measured
    Variable A, Variable B, Variable C, Correlation Index, Statistical Significance
    Description

    Complete dataset used in the research study on How Mobile Games Are Revolutionizing Virtual Economies by Dr. Evelyn Griffin

  20. o

    Instagram Threads User Feedback Dataset

    • opendatabay.com
    .undefined
    Updated Jul 4, 2025
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    Datasimple (2025). Instagram Threads User Feedback Dataset [Dataset]. https://www.opendatabay.com/data/ai-ml/202e79f2-8046-449b-baee-1e6f29960cfc
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    .undefinedAvailable download formats
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Datasimple
    Area covered
    Reviews & Ratings
    Description

    This dataset provides a collection of user reviews for the Threads mobile application from both the Google Play Store and the Apple App Store. It is designed to offer insights into user satisfaction, app performance, and to help identify emerging user patterns and sentiments. The data was gathered by scraping reviews from the respective app marketplaces.

    Columns

    • source: Indicates the origin of the review, such as 'Google Play' or 'App Store'.
    • review_description: Contains the actual text of the review provided by the user.
    • rating: Represents the numerical rating given by the user.
    • review_date: Specifies the date when the review was submitted.

    Distribution

    The dataset is typically provided in a CSV file format. Specific row or record counts are not available for the entire dataset, but review counts are detailed for various rating ranges and daily periods. For instance, 15,559 reviews are rated between 4.80 and 5.00, while 11,338 reviews were recorded between 5th and 6th July 2023.

    Usage

    This dataset is ideal for: * Sentiment analysis to understand overall user sentiment towards the Threads app. * Investigating factors that lead to 1-star and 5-star ratings, offering insights into user satisfaction and dissatisfaction. * Evaluating the application's performance and identifying recurring themes in user feedback.

    Coverage

    The dataset's geographic scope is global, collecting reviews from users worldwide. The time range for the reviews spans from 6th July 2023 to 25th July 2023. The dataset was last updated on 26th July 2023. It captures feedback from users across two major mobile platforms, Google Play (92% of reviews) and Apple App Store (8% of reviews).

    License

    CC-BY-NC

    Who Can Use It

    • Data analysts and researchers interested in mobile app performance and user sentiment.
    • App developers and product managers aiming to understand user feedback for app improvements.
    • Organisations conducting market research on social media applications.

    Dataset Name Suggestions

    • Threads Mobile App Reviews 2023
    • Instagram Threads User Feedback Dataset
    • Threads App Store & Google Play Reviews
    • Threads User Ratings and Sentiment Data

    Attributes

    Original Data Source: Threads, an Instagram app Reviews

Share
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Stacy Jo Dixon (2025). Facebook: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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Facebook: distribution of global audiences 2024, by age and gender

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Dataset updated
Jun 17, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Stacy Jo Dixon
Description

As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

              Facebook connects the world

              Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
              as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.
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