100+ datasets found
  1. k

    Social-Media-Users-Dataset

    • kaggle.com
    Updated Jun 8, 2023
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    (2023). Social-Media-Users-Dataset [Dataset]. https://www.kaggle.com/datasets/arindamsahoo/social-media-users
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 8, 2023
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    This dataset contains information about users for a social media friend recommendation project. It includes fields such as UserID, Name, Gender, Date of Birth (DOB), Interests, City, and Country. The dataset aims to capture diverse user profiles and their characteristics in terms of personal information, interests, and geographical locations.

  2. social media Dataset

    • kaggle.com
    zip
    Updated May 1, 2019
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    Sunita nakum (2019). social media Dataset [Dataset]. https://www.kaggle.com/sunita15/social-media-dataset
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    zip(15377406 bytes)Available download formats
    Dataset updated
    May 1, 2019
    Authors
    Sunita nakum
    Description

    Dataset

    This dataset was created by Sunita nakum

    Contents

  3. Average daily time spent on social media worldwide 2012-2024

    • statista.com
    • bg88.site
    • +6more
    Updated Apr 10, 2024
    + more versions
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    Statista (2024). Average daily time spent on social media worldwide 2012-2024 [Dataset]. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/
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    Dataset updated
    Apr 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    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.

  4. Global social networks ranked by number of users 2024

    • statista.com
    • cloudcounture.site
    • +21more
    Updated Feb 2, 2024
    + more versions
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    Statista (2024). Global social networks ranked by number of users 2024 [Dataset]. https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/
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    Dataset updated
    Feb 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    Worldwide
    Description

    Market leader Facebook was the first social network to surpass one billion registered accounts and currently sits at more than three billion monthly active users. Meta Platforms owns four of the biggest social media platforms, all with one billion monthly active users each: Facebook (core platform), WhatsApp, Facebook Messenger, and Instagram. In the third quarter of 2023, Facebook reported around four billion monthly core Family product users.

    The United States and China account for the most high-profile social platforms Most top ranked social networks with more than 100 million users originated in the United States, but services like Chinese social networks WeChat, QQ or video sharing app Douyin have also garnered mainstream appeal in their respective regions due to local context and content. Douyin’s popularity has led to the platform releasing an international version of its network: a little app called TikTok.

    How many people use social media?
    The leading social networks are usually available in multiple languages and enable users to connect with friends or people across geographical, political, or economic borders. In 2022, Social networking sites are estimated to reach 3.96 billion users and these figures are still expected to grow as mobile device usage and mobile social networks increasingly gain traction in previously underserved markets.

  5. Global Social Media Analytics Market – Industry Trends and Forecast to 2031

    • databridgemarketresearch.com
    Updated Mar 2024
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    Data Bridge Market Research (2024). Global Social Media Analytics Market – Industry Trends and Forecast to 2031 [Dataset]. https://www.databridgemarketresearch.com/reports/global-social-media-analytics-market
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    Dataset updated
    Mar 2024
    Dataset authored and provided by
    Data Bridge Market Research
    License

    https://www.databridgemarketresearch.com/privacy-policyhttps://www.databridgemarketresearch.com/privacy-policy

    Time period covered
    2023 - 2030
    Area covered
    Global
    Description

    Report Metric

    Details

    Forecast Period

    2024-2031

    Base Year

    2023

    Historic Years

    2022 (Customizable to 2016-2021)

    Quantitative Units

    Revenue in USD Billion, Volumes in Units, Pricing in USD

    Segments Covered

    Type (Software Services, and Mode), Deployment Model (On-premises, and Cloud), Organization Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), Analytical Type (Predictive, Prescriptive, Diagnostic, and Descriptive), Application (Sales and Marketing Management, Customer Experience Management, Competitive Intelligence, Risk Management and Fraud Detection, Public Safety and Law Enforcement, and Others), Industry Vertical (Banking, Financial Services and Insurance (BFSI), Telecommunications and Information Technology (IT), Retail and E-commerce, Healthcare and Life Sciences, Media and Entertainment, Government and Defense, Travel and Hospitality, and Others)

    Countries Covered

    U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E., Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America

    Market Players Covered

    Orcale (U.S.), IBM (U.S.), SAS Institute Inc. (U.S.), Salesforce, Inc. (U.S.), Adobe (U.S.), Cision US Inc. (U.S.), GoodData Corporation (U.S.), Simplify360 Inc. (India), Quid. (U.S.), Qualtrics (U.S.), Talkwalker(U.S.), Brandwatch (U.K.), Digimind (France)

    Market Opportunities

    • Real-Time Analytics Manage Crises and Reputation Issues
    • Integration of Social Media in E-commerce for Tracking Consumer Preferences
  6. Social Media - Thematic Intelligence

    • globaldata.com
    Updated Nov 10, 2023
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    GlobalData UK Ltd. (2023). Social Media - Thematic Intelligence [Dataset]. https://www.globaldata.com/store/report/social-media-theme-analysis/
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    Dataset updated
    Nov 10, 2023
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Social Media Report OverviewSocial media companies are diversifying away from their ad-funded business model due to increased regulatory scrutiny. In 2023 alone, some leading players have been fined for breaching d Read More

  7. o

    Data and Code for: Social Media and Mental Health

    • openicpsr.org
    delimited
    Updated Oct 19, 2022
    + more versions
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    Luca Braghieri; Ro’ee Levy; Alexey Makarin (2022). Data and Code for: Social Media and Mental Health [Dataset]. http://doi.org/10.3886/E175582V1
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    delimitedAvailable download formats
    Dataset updated
    Oct 19, 2022
    Dataset provided by
    American Economic Association
    Authors
    Luca Braghieri; Ro’ee Levy; Alexey Makarin
    License

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

    Area covered
    USA
    Dataset funded by
    Deutsche Forschungsgemeinschaft, CRC TRR 190
    Foerder Institute for Economic Research
    Description

    The diffusion of social media coincided with a worsening of mental health conditions among adolescents and young adults in the United States, giving rise to speculation that social media might be detrimental to mental health. In this paper, we provide quasi-experimental estimates of the impact of social media on mental health by leveraging a unique natural experiment: the staggered introduction of Facebook across U.S. colleges. Our analysis couples data on student mental health around the years of Facebook's expansion with a generalized difference-in-differences empirical strategy. We find that the roll-out of Facebook at a college increased symptoms of poor mental health, especially depression. We also find that, among students predicted to be most susceptible to mental illness, the introduction of Facebook led to increased utilization of mental healthcare services. Lastly, we find that, after the introduction of Facebook, students were more likely to report experiencing impairments to academic performance resulting from poor mental health. Additional evidence on mechanisms suggests that the results are due to Facebook fostering unfavorable social comparisons.

  8. d

    Disasters on Social Media

    • data.world
    csv, zip
    Updated Apr 5, 2024
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    CrowdFlower (2024). Disasters on Social Media [Dataset]. https://data.world/crowdflower/disasters-on-social-media
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    zip, csvAvailable download formats
    Dataset updated
    Apr 5, 2024
    Authors
    CrowdFlower
    Time period covered
    Aug 26, 2015 - Sep 2, 2015
    Description

    Contributors looked at over 10,000 tweets culled with a variety of searches like "ablaze", "quarantine", and "pandemonium", then noted whether the tweet referred to a disaster event (as opposed to a joke with the word or a movie review or something non-disastrous). Added: September 4, 2015 by CrowdFlower | Data Rows: 10877 Download Now

    Source: https://www.crowdflower.com/data-for-everyone/

  9. r

    Abbreviated FOMO and social media dataset

    • researchdata.edu.au
    • figshare.mq.edu.au
    Updated Jul 7, 2022
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    Ron Rapee; McEvoy, Peter; Maree J. Abbott; Madeleine Ferrari; Eyal Karin; Danielle Einstein; Carol Dabb; Anne McMaugh (2022). Abbreviated FOMO and social media dataset [Dataset]. http://doi.org/10.25949/20188298.V1
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    Dataset updated
    Jul 7, 2022
    Dataset provided by
    Macquarie University
    Authors
    Ron Rapee; McEvoy, Peter; Maree J. Abbott; Madeleine Ferrari; Eyal Karin; Danielle Einstein; Carol Dabb; Anne McMaugh
    Description

    This database is comprised of 951 participants who provided self-report data online in their school classrooms. The data was collected in 2016 and 2017. The dataset is comprised of 509 males (54%) and 442 females (46%). Their ages ranged from 12 to 16 years (M = 13.69, SD = 0.72). Seven participants did not report their age. The majority were born in Australia (N = 849, 89%). The next most common countries of birth were China (N = 24, 2.5%), the UK (N = 23, 2.4%), and the USA (N = 9, 0.9%). Data were drawn from students at five Australian independent secondary schools.

    The data contains item responses for the Spence Children’s Anxiety Scale (SCAS; Spence, 1998) which is comprised of 44 items. The Social media question asked about frequency of use with the question “How often do you use social media?”. The response options ranged from constantly to once a week or less. Items measuring Fear of Missing Out were included and incorporated the following five questions based on the APS Stress and Wellbeing in Australia Survey (APS, 2015). These were “When I have a good time it is important for me to share the details online; I am afraid that I will miss out on something if I don’t stay connected to my online social networks; I feel worried and uncomfortable when I can’t access my social media accounts; I find it difficult to relax or sleep after spending time on social networking sites; I feel my brain burnout with the constant connectivity of social media. Internal consistency for this measure was α = .81. Self compassion was measured using the 12-item short-form of the Self-Compassion Scale (SCS-SF; Raes et al., 2011).

    The data set has the option of downloading an excel file (composed of two worksheet tabs) or CSV files 1) Data and 2) Variable labels.

    References:

    Australian Psychological Society. (2015). Stress and wellbeing in Australia survey. https://www.headsup.org.au/docs/default-source/default-document-library/stress-and-wellbeing-in-australia-report.pdf?sfvrsn=7f08274d_4

    Raes, F., Pommier, E., Neff, K. D., & Van Gucht, D. (2011). Construction and factorial validation of a short form of the self-compassion scale. Clinical Psychology and Psychotherapy, 18(3), 250-255. https://doi.org/10.1002/cpp.702

    Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545-566. https://doi.org/10.1016/S0005-7967(98)00034-5

  10. f

    Visual Near-Duplicates Detection in the Context of Social Media (Dataset)

    • figshare.com
    txt
    Updated Jun 1, 2023
    + more versions
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    Hana Matatov (2023). Visual Near-Duplicates Detection in the Context of Social Media (Dataset) [Dataset]. http://doi.org/10.6084/m9.figshare.19367933.v7
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    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Authors
    Hana Matatov
    License

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

    Description

    The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.See the Github repository for details:https://github.com/sTechLab/Visual-Near-Duplicates-Detection-in-the-Context-of-Social-MediaSee the associated paper on arXiv:https://arxiv.org/abs/2203.07167

  11. E

    25+ Mind-Boggling Social Media At Workplace Statistics 2023

    • enterpriseappstoday.com
    Updated Oct 4, 2023
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    EnterpriseAppsToday (2023). 25+ Mind-Boggling Social Media At Workplace Statistics 2023 [Dataset]. https://www.enterpriseappstoday.com/stats/social-media-at-workplace-statistics.html
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    Dataset updated
    Oct 4, 2023
    Dataset authored and provided by
    EnterpriseAppsToday
    License

    https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Social Media In The Workplace Statistics (Editor's Choice)

    • 27% of people in the United States actively use social media for work.
    • 30% of employees at businesses with social media policies in place use social media platforms at the workplace to take a mental break from their tasks.
    • According to 51% of workers, their employer has policies for using social media in the workplace.
    • 98% of employees use social media for personal purposes.
    • 77% of employees use social media at work.
    • Around 23% of workers between the ages of 18 and 29 stated that they found information on a social media platform that has improved their opinions about a colleague.
    • A 2020 study found that 80.4% of participants thought that social media usage at the workplace improved two-way communication.
    • The average worker spends nearly 12% of their working hours using unproductive social media apps.
    • 45% of companies do not have a social media policy that applies to their employees.
    • The internet user spends 145 minutes each day on social media.
    • Only 51% of the companies have restrictions or social media rules at work.
    • Around 36% of employers have blocked access to social media networking sites during work hours.
    • 73% of the companies use social media sites for recruitment purposes.
    • Every year, in the United States of America, social media distractions at work cost businesses around $650 billion.
    • As of 2023, around 60% of employers reported monitoring social media at work.
    • 71% of the employees use social media at work to stay in touch with other people in the same field, while 56% use it to connect with experts.

    Key Social Media At Workplace Statistics

    #1. Facebook is the most popular social networking platform used for professional purposes.

    It is estimated that 19% of workers state that they use Facebook social media platforms for work. Comparatively, 14% of professionals say that they use LinkedIn social networking sites for work, 9% of employees state that they use social media tools offered by their business, and 3% of people use Twitter social media for professional purposes.

    #2. 27% of people in the United States actively use social media for work.

    This percentage is considerably lower than 40% of global social media usage for work purposes. Indians use social media for work at a rate of 47%, followed by Canadians at 31% and Australians at 30%.

    #3. 30% of employees at businesses with social media policies in place use social media platforms at the workplace to take a mental break from their tasks.

    Many employees still use social media websites and applications to get a break from the hectic workday, even though most employers have social media policies. Nearly 40% of staff members at companies without these kinds of regulations use different social media platforms during working hours.

    #4. According to 51% of workers, their employer has policies for using social media at the workplace.

    Employers now need to take action to regulate social media use during working hours due to the social media boom. Social media policies define the acceptable kind of behavior for a company's employees online and the circumstances under which they believe it is permissible to utilize social media.

    A social media policy guarantees that a company's brand image is safeguarded and sets clear expectations for personnel.

    #5. 98% of workers use social media for personal purposes.

    Out of this significant number, around 50% of employees have posted about their employer or job online.

    #6. 36% of employers prohibit the use of social media during working hours.

    This is an increase of 7% from 2012. Businesses that forbid social media use among their staff members restrict access to Facebook by 20%, Twitter by 15%, and YouTube by 14%. Employers who do not restrict their employees' social media platform access at the workplace have dropped by 10%.

    http://www.enterpriseappstoday.com/wp-content/uploads/2022/08/1cWM3-social-media-at-work-policies-in-the-us.png" alt="social-media-at-work-policies-in-the-us" width="1452" height="1004"> (Source: Zippia.com)

  12. 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
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    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.

  13. O

    City Social Media Inventory

    • data.austintexas.gov
    • datadiscoverystudio.org
    • +3more
    application/rdfxml +5
    Updated Jun 30, 2021
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    City of Austin, Texas - data.austintexas.gov (2021). City Social Media Inventory [Dataset]. https://data.austintexas.gov/City-Government/City-Social-Media-Inventory/yph5-vg2u
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    application/rssxml, tsv, json, application/rdfxml, xml, csvAvailable download formats
    Dataset updated
    Jun 30, 2021
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    Description

    Connect with the City of Austin. Find out the latest information about Austin initiatives, opportunities and fun things to do in the Live Music Capital of the World. Like or follow City social media to get updates from the City directly in your timeline.

  14. P

    Microsoft Research Social Media Conversation Corpus Dataset

    • paperswithcode.com
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    Alessandro Sordoni; Michel Galley; Michael Auli; Chris Brockett; Yangfeng Ji; Margaret Mitchell; Jian-Yun Nie; Jianfeng Gao; Bill Dolan, Microsoft Research Social Media Conversation Corpus Dataset [Dataset]. https://paperswithcode.com/dataset/microsoft-research-social-media-conversation
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    Authors
    Alessandro Sordoni; Michel Galley; Michael Auli; Chris Brockett; Yangfeng Ji; Margaret Mitchell; Jian-Yun Nie; Jianfeng Gao; Bill Dolan
    Description

    Microsoft Research Social Media Conversation Corpus consists of 127M context-message-response triples from the Twitter FireHose, covering the 3-month period June 2012 through August 2012. Only those triples where context and response were generated by the same user were extracted. To minimize noise, only triples that contained at least one frequent bigram that appeared more than 3 times in the corpus was selected. This produced a corpus of 29M Twitter triples.

  15. m

    Data Set -assessing the validity of self-reported social media use

    • data.mendeley.com
    Updated Oct 10, 2022
    + more versions
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    Tamsin Mahalingham (2022). Data Set -assessing the validity of self-reported social media use [Dataset]. http://doi.org/10.17632/x3wxfycggn.1
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    Dataset updated
    Oct 10, 2022
    Authors
    Tamsin Mahalingham
    License

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

    Description

    Aim: Examine the degree of association between single self-estimate social media use, the problematic use of social networking scale and objective mobile social media use in a sample of both Android and iPhone users.

    Variable Description Variable Name (w) = variable winzorised Gender (Female = 1, Male = 2, not specified = 3) Android v iPhone (iPhone user = 1, Android user = 2) SR_SM_use_minutesweek = self-report single-estimate of weekly mobile social media use ("On average, how many hours a week do you think you spend viewing social media on your phone?") PUSNS_# = problematic use of social networking scale item # PUSNS = problematic use of social networking scale total TST = total mobile screen time over last 7 days Facebook = total mobile Facebook use over last 7 days Instagram = total mobile Instagram use over last 7 days Snapchat = total mobile Snapchat use over last 7 days Twitter = total mobile Twitter use over last 7 days TikTok = total mobile TikTok use over last 7 days SMU = objective mobile social media use (Facebook, Instagram, Snapchat, Twitter, TikTok) over last 7 days PickUps = total smartphone pick-ups over last 7 days

  16. Bright Data | Social Media Data - Global Coverage - account, business &...

    • datarade.ai
    .json, .csv, .xls
    Updated Mar 20, 2022
    + more versions
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    Bright Data (2022). Bright Data | Social Media Data - Global Coverage - account, business & nonbusines [Dataset]. https://datarade.ai/data-products/bright-data-social-networks-data-global-coverage-accou-bright-data
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    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Mar 20, 2022
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    Area covered
    Hong Kong, Holy See, Botswana, Philippines, Wallis and Futuna, Burkina Faso, Grenada, Sao Tome and Principe, Bermuda, British Indian Ocean Territory
    Description

    Bright Data’s datasets provide a cost-effective way to quickly receive public web data at scale, enabling you to quickly and easily uncover business-critical insights.

    Create your own dataset by applying various filters on the full dataset, such as: - of followers - profile type - account type - engagement score - categories - location - external links - hashtags - brand affiliation - biography - highlights - posts and more.

  17. Social media policy document database

    • figshare.com
    xlsx
    Updated Jan 11, 2017
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    Laura A. Pasquini (2017). Social media policy document database [Dataset]. http://doi.org/10.6084/m9.figshare.4003401.v1
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    xlsxAvailable download formats
    Dataset updated
    Jan 11, 2017
    Dataset provided by
    figshare
    Authors
    Laura A. Pasquini
    License

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

    Description

    This dataset is connected to the following journal article:

    Pasquini, L. A., & Evangelopoulos, N. (2016). Sociotechnical stewardship in higher education: A field study of social media policy documents. Journal of Computing in Higher Education.

    To prepare this database for publication, this corpus was reviewed to determine if document items (URLs, PDF, or Word documents) shared online were the same, updated, or removed. This dataset now presents readers with the direct link to the specific higher education institution social media policy document, if it was still available or updated at the time of publication.

  18. S

    Social Media Statistics

    • searchlogistics.com
    Updated Mar 7, 2024
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    Search Logistics (2024). Social Media Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-user-statistics/
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    Dataset updated
    Mar 7, 2024
    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

    I’ve compiled a list of the latest social media user statistics showing just how big social media has become and where it’s likely to go in the future.

  19. Social media users in the United States 2020-2029

    • statista.com
    • 20minutesfr.net
    • +1more
    Updated Jan 30, 2024
    + more versions
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    Statista (2024). Social media users in the United States 2020-2029 [Dataset]. https://www.statista.com/statistics/278409/number-of-social-network-users-in-the-united-states/
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    Dataset updated
    Jan 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of social media users in the United States was forecast to continuously increase between 2024 and 2029 by in total 22 million users (+6.86 percent). After the ninth consecutive increasing year, the social media user base is estimated to reach 342.6 million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  20. o

    Replication data for: Social Media and Corruption

    • openicpsr.org
    Updated Oct 12, 2019
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    Ruben Enikolopov; Maria Petrova; Konstantin Sonin (2019). Replication data for: Social Media and Corruption [Dataset]. http://doi.org/10.3886/E113683V1
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    Dataset updated
    Oct 12, 2019
    Dataset provided by
    American Economic Association
    Authors
    Ruben Enikolopov; Maria Petrova; Konstantin Sonin
    Description

    Does new media promote accountability in nondemocratic countries, where offline media is often suppressed? We show that blog posts, which exposed corruption in Russian state-controlled companies, had a negative causal impact on their market returns. For identification, we exploit the precise timing of blog posts by looking at within-day results with company-day fixed effects. Furthermore, we show that the posts are ultimately associated with higher management turnover and less minority shareholder conflicts. Taken together, our results suggest that social media can discipline corruption even in a country with limited political competition and heavily censored traditional media.

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Luca Braghieri; Ro’ee Levy; Alexey Makarin (2022). Data and Code for: Social Media and Mental Health [Dataset]. http://doi.org/10.3886/E175582V1

Data and Code for: Social Media and Mental Health

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delimitedAvailable download formats
Dataset updated
Oct 19, 2022
Dataset provided by
American Economic Association
Authors
Luca Braghieri; Ro’ee Levy; Alexey Makarin
License

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

Area covered
USA
Dataset funded by
Deutsche Forschungsgemeinschaft, CRC TRR 190
Foerder Institute for Economic Research
Description

The diffusion of social media coincided with a worsening of mental health conditions among adolescents and young adults in the United States, giving rise to speculation that social media might be detrimental to mental health. In this paper, we provide quasi-experimental estimates of the impact of social media on mental health by leveraging a unique natural experiment: the staggered introduction of Facebook across U.S. colleges. Our analysis couples data on student mental health around the years of Facebook's expansion with a generalized difference-in-differences empirical strategy. We find that the roll-out of Facebook at a college increased symptoms of poor mental health, especially depression. We also find that, among students predicted to be most susceptible to mental illness, the introduction of Facebook led to increased utilization of mental healthcare services. Lastly, we find that, after the introduction of Facebook, students were more likely to report experiencing impairments to academic performance resulting from poor mental health. Additional evidence on mechanisms suggests that the results are due to Facebook fostering unfavorable social comparisons.

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