100+ datasets found
  1. X/Twitter: distribution of global audiences 2025, by age group

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). X/Twitter: distribution of global audiences 2025, by age group [Dataset]. https://www.statista.com/statistics/283119/age-distribution-of-global-twitter-users/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    As of February 2025, 37.5 percent of X’s (formerly Twitter) global audience was aged between 25 and 34 years. The second-largest age group demographic on the platform was represented by users aged between 18 and 24 years, with a share of 32.1 percent. Users aged less than 18 years accounted for two percent of users, while those aged 50 or older accounted for roughly 7.3 percent. X is a male-dominated platform As of January 2024, more than 60 percent of X users were male. Although all mainstream social media platforms tend to have a slightly more male-skewing audience, X stands out above Instagram, Snapchat, TikTok, and Facebook when it comes to user gender demographics. Overall, Pinterest is the only mainstream platform to have a higher share of female users. X Blue for you It is not uncommon for social media users to now have the chance to become subscribers of their chosen online networks for a monthly fee. X Blue is a subscription service from X that gives users special benefits and features. A blue verification mark, edit post functionality, fewer ads, priority ranking in chats, and longer video upload times are some of the perks offered.

  2. X/Twitter: distribution of global audiences 2025, by age and gender

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). X/Twitter: distribution of global audiences 2025, by age and gender [Dataset]. https://www.statista.com/statistics/1498204/distribution-of-users-on-twitter-worldwide-age-and-gender/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    As of February 2025, 24.5 percent of X (formerly Twitter) users were men aged between 25 and 34 years. Overall, almost 19 percent of users were men aged between 18 and 24 years. X has a high share of male users when compared to other popular social media platforms.

  3. s

    Twitter Users Broken Down By Age

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Twitter Users Broken Down By Age [Dataset]. https://www.searchlogistics.com/learn/statistics/twitter-user-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    This is the breakdown of Twitter users by age group.

  4. s

    Twitter Key Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Twitter Key Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/twitter-user-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    These are the key Twitter user statistics that you need to know.

  5. d

    Twitter Followers Demographic Analytics

    • datarade.ai
    .json, .csv, .xls
    Updated Jun 20, 2021
    + more versions
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    Demografy (2021). Twitter Followers Demographic Analytics [Dataset]. https://datarade.ai/data-products/twitter-followers-demographic-analytics-demografy
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    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Jun 20, 2021
    Dataset authored and provided by
    Demografy
    Area covered
    Bosnia and Herzegovina, Malta, Monaco, Bulgaria, Australia, Liechtenstein, Belgium, Hungary, United States of America, Macedonia (the former Yugoslav Republic of)
    Description

    Demographic data prediction is powered by Demografy AI that extracts demographic data from names with 100% coverage, accuracy preview before purchase and GDPR-compliance.

    Demografy is a privacy by design customer demographics prediction AI platform.

    Use cases: - Social Media analytics and user segmentation - Competitor analysis - Actionable analytics about your customers to get demographic insights - Appending missing demographic data to your records for customer segmentation and targeted marketing campaigns - Enhanced personalization knowing you customer better

    Core features: - Demographic segmentation - Demographic analytics - API integration - Data export

    Key advantages: - 100% coverage of lists - Accuracy estimate before purchase - GDPR-compliance as no sensitive data is required. Demografy can work with only first names or masked last names

    Unlike traditional solutions, you don’t need to know and disclose your customer or prospect addresses, emails or other sensitive information. You need only names of social media users. This makes Demografy privacy by design and enables you to get 100% coverage of your audience since all you need to know is names.

  6. X/Twitter: Countries with the largest audience 2025

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). X/Twitter: Countries with the largest audience 2025 [Dataset]. https://www.statista.com/statistics/242606/number-of-active-twitter-users-in-selected-countries/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    Social network X/Twitter is particularly popular in the United States, and as of February 2025, the microblogging service had an audience reach of 103.9 million users in the country. Japan and the India were ranked second and third with more than 70 million and 25 million users respectively. Global Twitter usage As of the second quarter of 2021, X/Twitter had 206 million monetizable daily active users worldwide. The most-followed Twitter accounts include figures such as Elon Musk, Justin Bieber and former U.S. president Barack Obama. X/Twitter and politics X/Twitter has become an increasingly relevant tool in domestic and international politics. The platform has become a way to promote policies and interact with citizens and other officials, and most world leaders and foreign ministries have an official Twitter account. Former U.S. president Donald Trump used to be a prolific Twitter user before the platform permanently suspended his account in January 2021. During an August 2018 survey, 61 percent of respondents stated that Trump's use of Twitter as President of the United States was inappropriate.

  7. s

    Twitter Users Broken Down By Gender

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Twitter Users Broken Down By Gender [Dataset]. https://www.searchlogistics.com/learn/statistics/twitter-user-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    The platform is male-dominated with 68.1% of all Twitter users being male. Just 31.9% of Twitter users are female.

  8. s

    Twitter Demographics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Twitter Demographics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-user-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    36.6% of Twitter users are aged 25-34 and make up the biggest age group on the platform. Only 2.4% of Twitter users are aged 13-17.

  9. f

    'Dataset2' - Who Tweets with Their Location? Understanding the Relationship...

    • figshare.com
    zip
    Updated Jan 20, 2016
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    Luke Sloan (2016). 'Dataset2' - Who Tweets with Their Location? Understanding the Relationship Between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter [Dataset]. http://doi.org/10.6084/m9.figshare.1572292.v3
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    zipAvailable download formats
    Dataset updated
    Jan 20, 2016
    Dataset provided by
    figshare
    Authors
    Luke Sloan
    License

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

    Description

    'Dataset2' associated with: Who Tweets with Their Location? Understanding the Relationship Between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter

    Luke Sloan and Jeffrey Morgan.

  10. f

    Using social media to promote academic research: Identifying the benefits of...

    • plos.figshare.com
    docx
    Updated May 31, 2023
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    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad (2023). Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work [Dataset]. http://doi.org/10.1371/journal.pone.0229446
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Samara Klar; Yanna Krupnikov; John Barry Ryan; Kathleen Searles; Yotam Shmargad
    License

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

    Description

    To disseminate research, scholars once relied on university media services or journal press releases, but today any academic can turn to Twitter to share their published work with a broader audience. The possibility that scholars can push their research out, rather than hope that it is pulled in, holds the potential for scholars to draw wide attention to their research. In this manuscript, we examine whether there are systematic differences in the types of scholars who most benefit from this push model. Specifically, we investigate the extent to which there are gender differences in the dissemination of research via Twitter. We carry out our analyses by tracking tweet patterns for articles published in six journals across two fields (political science and communication), and we pair this Twitter data with demographic and educational data about the authors of the published articles, as well as article citation rates. We find considerable evidence that, overall, article citations are positively correlated with tweets about the article, and we find little evidence to suggest that author gender affects the transmission of research in this new media.

  11. H

    Estimation of Twitter user demographics in the USA, 2014

    • dataverse.harvard.edu
    Updated Nov 26, 2020
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    Guangqing Chi; Junjun Yin; Jennifer Van Hook; Eric Plutzer; Heng Xu (2020). Estimation of Twitter user demographics in the USA, 2014 [Dataset]. http://doi.org/10.7910/DVN/PKKAPK
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 26, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Guangqing Chi; Junjun Yin; Jennifer Van Hook; Eric Plutzer; Heng Xu
    License

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

    Area covered
    United States
    Dataset funded by
    National Science Fundation
    Description

    The dataset contains the estimated demographics of 3,775,014 Twitter users in the continental USA in 2014, including gender, age, race/ethnicity, and county of residence of each Twitter user. The codes for estimating Twitter user demographics were also enclosed; the codes were designed for analyzing raw Twitter data with user profile information including username, screen name, profile image, and geo-locations. Twitter users were anonymized to protect their privacy per the data user agreement of Twitter, Inc. Twitter users in the shared data set were anonymized.

  12. X/Twitter: distribution of global audiences 2025, by gender

    • statista.com
    Updated Jun 19, 2025
    + more versions
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    Statista (2025). X/Twitter: distribution of global audiences 2025, by gender [Dataset]. https://www.statista.com/statistics/828092/distribution-of-users-on-twitter-worldwide-gender/
    Explore at:
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    As of February 2025, micro-blogging platform X (formerly Twitter) was more popular with men than women, with male audiences accounting for 63.7 percent of global users. Additionally, users between the ages of 25 and 34 were particularly active on X/Twitter, making up more than 37 percent of users worldwide. How many people use? Although X/Twitter holds its status as a mainstream social media site, it falls short in comparison to other well-known platforms in terms of user numbers. As of early 2022, X/Twitter had around 436 million monthly active users, whilst Meta’s Facebook reached almost three billion MAU. Overall, the United States is home to over 105 million X/Twitter users, making up Twitter’s largest audience base, followed by Japan, India, and the United Kingdom, respectively. How is Twitter used? X/Twitter is utilized by its audience for many different purposes. In May 2021, over 80 percent of high-volume X/Twitter users (defined as users who tweet around 20 times per month) in the United States reported using the platform for entertainment, whilst 78 percent said they used it as a way to stay informed. High-volume X/Twitter users were far more likely to use the service as a means of expressing their opinion. Furthermore, in 2022, over half of social media users in the U.S. used Twitter as a news resource.  

  13. X/Twitter: usage reach in the United States 2023, by age group

    • statista.com
    • ai-chatbox.pro
    Updated Aug 13, 2024
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    Statista (2024). X/Twitter: usage reach in the United States 2023, by age group [Dataset]. https://www.statista.com/statistics/265647/share-of-us-internet-users-who-use-twitter-by-age-group/
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    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 19, 2023 - Sep 5, 2023
    Area covered
    United States
    Description

    As of September 2023, it was found that 42 percent of adults in the United States aged between 18 and 29 years used X (formerly Twitter). This age group was the microblogging service’s biggest audience in the United States, followed by a 27 percent usage reach among 30 to 49-year-olds. X users in the United StatesAs of the first quarter of 2019, Twitter had 68 million monthly active users in the United States. In the fourth quarter of 2020, the number of monetizable daily active Twitter users in the country amounted to 37 million. As of January 2021, 61.6 percent of U.S. Twitter audiences were male and 38.4 percent were female. According to a February 2019 survey of social media users in the United States, Twitter was the most popular social network for news consumption. X usage in the United StatesTwitter is popular among users looking to catch up and chime in on current and trending topics and live-tweet about events and media. Live-tweeting television series or sporting events is a popular user activity and in 2018, the most popular television series based on average number of Twitter interactions per episode was ABC’s ‘The Bachelor’. In terms of global sporting events, it does not get much bigger than the Olympic Games. During the Winter Olympics in PyeongChang 2018, Twitter accounted for 50 percent of stakeholder posts during the Winter.

  14. T

    Twitter Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    Search Logistics (2025). Twitter Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/twitter-user-statistics/
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Search Logistics
    License

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

    Description

    These Twitter user statistics will give you the complete story of where Twitter is at today and what the future looks like for the social media company.

  15. d

    Population of X/Twitter users and web domains embedded in a multidimensional...

    • data.sciencespo.fr
    tsv
    Updated Mar 14, 2025
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    Antoine Vendeville; Jimena Royo-Letelier; Duncan Cassells; Jean-Philippe Cointet; Maxime Crépel; Tim Faverjon; Théophile Lenoir; Béatrice Mazoyer; Benjamin Ooghe-Tabanou; Armin Pournaki; Hiroki Yamashita; Pedro Ramaciotti; Antoine Vendeville; Jimena Royo-Letelier; Duncan Cassells; Jean-Philippe Cointet; Maxime Crépel; Tim Faverjon; Théophile Lenoir; Béatrice Mazoyer; Benjamin Ooghe-Tabanou; Armin Pournaki; Hiroki Yamashita; Pedro Ramaciotti (2025). Population of X/Twitter users and web domains embedded in a multidimensional political opinion space [Dataset]. http://doi.org/10.21410/7E4/QPECFF
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    tsv(100846), tsv(106000433), tsv(177962), tsv(32523281), tsv(146217)Available download formats
    Dataset updated
    Mar 14, 2025
    Dataset provided by
    data.sciencespo
    Authors
    Antoine Vendeville; Jimena Royo-Letelier; Duncan Cassells; Jean-Philippe Cointet; Maxime Crépel; Tim Faverjon; Théophile Lenoir; Béatrice Mazoyer; Benjamin Ooghe-Tabanou; Armin Pournaki; Hiroki Yamashita; Pedro Ramaciotti; Antoine Vendeville; Jimena Royo-Letelier; Duncan Cassells; Jean-Philippe Cointet; Maxime Crépel; Tim Faverjon; Théophile Lenoir; Béatrice Mazoyer; Benjamin Ooghe-Tabanou; Armin Pournaki; Hiroki Yamashita; Pedro Ramaciotti
    License

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

    Description

    The undertaking of several studies of political phenomena in social media mandates the operationalization of the notion of political stance of users and contents involved. Relevant examples include the study of segregation and polarization online, the study of political diversity in content diets in social media, or AI explainability. While many research designs rely on operationalizations best suited for the US setting, few allow addressing more general design, in which users and content might take stances on multiple ideology and issue dimensions, going beyond traditional Liberal-Conservative or Left-Right scales. To advance the study of more general online ecosystems, we present a dataset of X/Twitter population of users in the French political Twittersphere and web domains embedded in a political space spanned by dimensions measuring attitudes towards immigration, the EU, liberal values, elites and institutions, nationalism and the environment. We provide several benchmarks validating the positions of these entities (based on both, LLM and human annotations), and discuss several applications for this dataset.

  16. s

    Twitter Users Broken down By Country

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Twitter Users Broken down By Country [Dataset]. https://www.searchlogistics.com/learn/statistics/twitter-user-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    The US has historically been the target country for Twitter since its launch in 2006. This is the full breakdown of Twitter users by country.

  17. Z

    Processed data for the article "Perfilado Demográficos de Celebridades en...

    • data.niaid.nih.gov
    Updated May 18, 2021
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    López-Santamaría, Luis-Miguel (2021). Processed data for the article "Perfilado Demográficos de Celebridades en Redes Sociales" - "Demographic Profiling of Celebrities in Social Networks" [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4767750
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    Dataset updated
    May 18, 2021
    Dataset provided by
    López-Santamaría, Luis-Miguel
    Gomez, Juan Carlos
    Alonso Sánchez, Juan Carlos
    License

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

    Description

    This dataset includes all the processed data used for experimentation in the article "Perfilado Demográficos de Celebridades en Redes Sociales" - "Demographic Profiling of Celebrities in Social Networks", published in the journal Research in Computer Science. The dataset is a processed version of the training part from the CLEF 2020 celebrity profiling task (https://pan.webis.de/clef20/pan20-web/celebrity-profiling.html). The dataset consists of 5,066,608 tweets corresponding to 1,920 Twitter celebrities. All the tweets are in English. The dataset includes several files:

    1. The 5,066,608 tweets in English

    2. Four files indicating the gender, age, ocuppation and user associated with each tweet.

    3. A list of 1374 common english abreviations used in social networks

    4. The five features extracted from the tweets and used for the experiments: words, emoticons/emojis, hashtags, ats, abreviations

  18. Data from: DomainDemo: a dataset of domain-sharing activities among...

    • zenodo.org
    Updated Apr 10, 2025
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    Kai-Cheng Yang; Kai-Cheng Yang; Pranav Goel; Pranav Goel; Alexi Quintana Mathé; Alexi Quintana Mathé; Luke Horgan; Stefan McCabe; Stefan McCabe; Nir Grinberg; Nir Grinberg; Kenneth Joseph; Kenneth Joseph; David Lazer; David Lazer; Luke Horgan (2025). DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter [Dataset]. http://doi.org/10.5281/zenodo.15151614
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kai-Cheng Yang; Kai-Cheng Yang; Pranav Goel; Pranav Goel; Alexi Quintana Mathé; Alexi Quintana Mathé; Luke Horgan; Stefan McCabe; Stefan McCabe; Nir Grinberg; Nir Grinberg; Kenneth Joseph; Kenneth Joseph; David Lazer; David Lazer; Luke Horgan
    Description

    This repository contains all data for "DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter."

    If you only need the derived metrics for the domains, they are publicly available at https://github.com/LazerLab/DomainDemo.

    Due to the sensitive nature of DomainDemo-multivariate and DomainDemo-univariate, you must apply for access. See the instructions below for details.

  19. Twitter: U.S. corporate demography 2022, by ethnicity

    • statista.com
    Updated Feb 13, 2024
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    Statista (2024). Twitter: U.S. corporate demography 2022, by ethnicity [Dataset]. https://www.statista.com/statistics/313585/twitter-employee-ethnicity-us/
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    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 31, 2022
    Area covered
    United States
    Description

    As of March 2022, 30.8 percent of Twitter employees were of Asian ethnicity. Overall, 8.4 percent of Twitter employees were of Latinx ethnicity. Additionally, the majority of employees were white. There were a total of 7,500 Twitter employees at the end of 2021.

  20. d

    Replication Data for: Twitter and Facebook are not representative of the...

    • search.dataone.org
    Updated Nov 22, 2023
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    Mellon, Jonathan; Prosser, Christopher (2023). Replication Data for: Twitter and Facebook are not representative of the General Population: Political Attitudes and Demographics of British Social Media users [Dataset]. http://doi.org/10.7910/DVN/AZHTBT
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Mellon, Jonathan; Prosser, Christopher
    Description

    Full replication package for the paper.. Visit https://dataone.org/datasets/sha256%3Ab3d7aac1ffd3ecf0b3acdf85051e824b57004996214e962dea4f4b46ad275fa5 for complete metadata about this dataset.

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Statista (2025). X/Twitter: distribution of global audiences 2025, by age group [Dataset]. https://www.statista.com/statistics/283119/age-distribution-of-global-twitter-users/
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X/Twitter: distribution of global audiences 2025, by age group

Explore at:
147 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 19, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Feb 2025
Area covered
Worldwide
Description

As of February 2025, 37.5 percent of X’s (formerly Twitter) global audience was aged between 25 and 34 years. The second-largest age group demographic on the platform was represented by users aged between 18 and 24 years, with a share of 32.1 percent. Users aged less than 18 years accounted for two percent of users, while those aged 50 or older accounted for roughly 7.3 percent. X is a male-dominated platform As of January 2024, more than 60 percent of X users were male. Although all mainstream social media platforms tend to have a slightly more male-skewing audience, X stands out above Instagram, Snapchat, TikTok, and Facebook when it comes to user gender demographics. Overall, Pinterest is the only mainstream platform to have a higher share of female users. X Blue for you It is not uncommon for social media users to now have the chance to become subscribers of their chosen online networks for a monthly fee. X Blue is a subscription service from X that gives users special benefits and features. A blue verification mark, edit post functionality, fewer ads, priority ranking in chats, and longer video upload times are some of the perks offered.

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