100+ datasets found
  1. Twitter users in the United States 2019-2028

    • statista.com
    • ai-chatbox.pro
    Updated Jul 31, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2025). Twitter users in the United States 2019-2028 [Dataset]. https://www.statista.com/topics/3196/social-media-usage-in-the-united-states/
    Explore at:
    Dataset updated
    Jul 31, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of Twitter users in the United States was forecast to continuously increase between 2024 and 2028 by in total 4.3 million users (+5.32 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 85.08 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.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).Find more key insights for the number of Twitter users in countries like Canada and Mexico.

  2. m

    Abbreviated FOMO and social media dataset

    • figshare.mq.edu.au
    • researchdata.edu.au
    txt
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Danielle Einstein; Carol Dabb; Madeleine Ferrari; Anne McMaugh; Peter McEvoy; Ron Rapee; Eyal Karin; Maree J. Abbott (2023). Abbreviated FOMO and social media dataset [Dataset]. http://doi.org/10.25949/20188298.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Macquarie University
    Authors
    Danielle Einstein; Carol Dabb; Madeleine Ferrari; Anne McMaugh; Peter McEvoy; Ron Rapee; Eyal Karin; Maree J. Abbott
    License

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

    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

  3. d

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

    • datarade.ai
    .json, .csv, .xls
    Updated Oct 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  4. ANES Social Media Study Restricted-Use Facebook Supplemental Data, 2020-2022...

    • icpsr.umich.edu
    • socialmediaarchive.org
    Updated Dec 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    American National Election Studies (ANES) (2023). ANES Social Media Study Restricted-Use Facebook Supplemental Data, 2020-2022 [Dataset]. http://doi.org/10.3886/ICPSR38912.v2
    Explore at:
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    American National Election Studies (ANES)
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38912/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38912/terms

    Time period covered
    Aug 20, 2020 - Jan 2, 2023
    Area covered
    United States
    Description

    The ANES 2020-2022 Social Media Study was a two-wave survey before and after the 2020 presidential election and a third survey following the 2022 midterm elections in the United States. Data from these surveys are available as a public use file from the American National Election Studies (ANES) website. The three questionnaires have largely the same content, affording repeated measures of the same constructs. The questionnaire covers voter turnout and candidate choice in the 2020 presidential primaries and general election, the coronavirus pandemic, the economy, feeling thermometers, feelings about how things are going in the country, trust in institutions, political knowledge and misinformation, political participation, political stereotyping, political diversity of social networks, and campaign/policy issues including health insurance, immigration, guns, and climate change.

  5. Social Media Influencers Dataset

    • figshare.com
    bin
    Updated Jun 25, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esther Leander (2023). Social Media Influencers Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.23576037.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Jun 25, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Esther Leander
    License

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

    Description

    This data was used in a study to determine the role of social media influencers in shaping consumer behaviour for beauty products in the US market.

  6. h

    social-media-instruction

    • huggingface.co
    Updated Jan 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bojan Jakimovski (2025). social-media-instruction [Dataset]. https://huggingface.co/datasets/Shekswess/social-media-instruction
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 6, 2025
    Authors
    Bojan Jakimovski
    License

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

    Description

    Social Media Synthetic Dataset

      Description
    

    Topic: Social Media Posts and Interactions Domains: Social Media Platforms (Twitter, Facebook, Instagram) Focus: Synthetic collection of social media content and interactions Number of Entries: 500 Dataset Type: Raw Dataset Model Used: anthropic/claude-3-5-sonnet-20241022 Language: English Generated by: SynthGenAI Package

      Additional Information
    

    The dataset contains synthesized social media posts mimicking real… See the full description on the dataset page: https://huggingface.co/datasets/Shekswess/social-media-instruction.

  7. d

    Social media data for Great Lakes AOCs

    • datasets.ai
    • catalog.data.gov
    • +2more
    Updated Oct 8, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Environmental Protection Agency (2024). Social media data for Great Lakes AOCs [Dataset]. https://datasets.ai/datasets/social-media-data-for-great-lakes-aocs
    Explore at:
    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    U.S. Environmental Protection Agency
    Area covered
    The Great Lakes
    Description

    This data is an Excel file that has links to downloaded photographs posted to social media sites. There is a sheet with metadata in the file. This dataset is associated with the following publication: Angradi, T., J. Launspach, and R. Debbout. Determining preferences for ecosystem benefits in Great Lakes Areas of Concern from photographs posted to social media. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 44(2): 340-351, (2018). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.

  8. Instagram accounts with the most followers worldwide 2024

    • statista.com
    • es.statista.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stacy Jo Dixon, Instagram accounts with the most followers worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    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.
    
  9. Social media data with CUI redacted 11192018

    • catalog.data.gov
    Updated Nov 12, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. EPA Office of Research and Development (ORD) (2020). Social media data with CUI redacted 11192018 [Dataset]. https://catalog.data.gov/dataset/social-media-data-with-cui-redacted-11192018
    Explore at:
    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Data includes the metadata and links for images posted to social media with CUI redacted. This dataset is associated with the following publication: Angradi, T., J. Launspach, and R. Debbout. Determining preferences for ecosystem benefits in Great Lakes Areas of Concern from photographs posted to social media. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 44(2): 340-351, (2018).

  10. s

    Social Media Worldwide Usage Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Social Media Worldwide Usage Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
    Explore at:
    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

    56.8% of the world’s total population is active on social media.

  11. s

    Social Media Usage By Country

    • searchlogistics.com
    Updated Apr 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Social Media Usage By Country [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
    Explore at:
    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 results might surprise you when looking at internet users that are active on social media in each country.

  12. S

    Dataset of Tweets by Chinese and US Mainstream Media before 2023

    • scidb.cn
    Updated Jul 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jiajun Tang (2024). Dataset of Tweets by Chinese and US Mainstream Media before 2023 [Dataset]. http://doi.org/10.57760/sciencedb.09845
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 2, 2024
    Dataset provided by
    Science Data Bank
    Authors
    Jiajun Tang
    License

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

    Area covered
    United States
    Description

    This dataset contains original tweets posted by 3 Chinese media (People's Daily, CGTN Official and Xinhua News) and 3 American media (The New York Times, The Wallstreet Journal and The Washington Post) from the very first tweet to the latest in 2023. The metadata mainly covers their content, url, likes, comments, etc.

  13. United States Internet Usage: Social Media Market Share: Tablet: Hi5

    • ceicdata.com
    Updated Jan 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). United States Internet Usage: Social Media Market Share: Tablet: Hi5 [Dataset]. https://www.ceicdata.com/en/united-states/internet-usage-social-media-market-share
    Explore at:
    Dataset updated
    Jan 16, 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
    Nov 14, 2023 - Nov 22, 2023
    Area covered
    United States
    Description

    Internet Usage: Social Media Market Share: Tablet: Hi5 data was reported at 0.000 % in 22 Nov 2023. This stayed constant from the previous number of 0.000 % for 21 Nov 2023. Internet Usage: Social Media Market Share: Tablet: Hi5 data is updated daily, averaging 0.000 % from Nov 2023 (Median) to 22 Nov 2023, with 9 observations. The data reached an all-time high of 0.110 % in 18 Nov 2023 and a record low of 0.000 % in 22 Nov 2023. Internet Usage: Social Media Market Share: Tablet: Hi5 data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s United States – Table US.SC.IU: Internet Usage: Social Media Market Share.

  14. S

    Social Media Addiction Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Search Logistics (2025). Social Media Addiction Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
    Explore at:
    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

    In this post, I'll give you all the social media addiction statistics you need to be aware of to moderate your social media use.

  15. h

    social-media-captions

    • huggingface.co
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Johannes, social-media-captions [Dataset]. https://huggingface.co/datasets/Waterfront/social-media-captions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Johannes
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Social Media Captions

    Based on the Instagram Influencer Dataset from Seungbae Kim, Jyun-Yu Jiang, and Wei Wang Extended with photo descriptions of ydshieh/vit-gpt2-coco-en model to create a dataset which can be used to finetune Llama-2.

    20k smaller subset: Waterfront/social-media-captions-20k 10k smaller subset: Waterfront/social-media-captions-10k

  16. d

    US Restaurant POI dataset with metadata

    • datarade.ai
    .csv
    Updated Jul 30, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Geolytica (2022). US Restaurant POI dataset with metadata [Dataset]. https://datarade.ai/data-products/us-restaurant-poi-dataset-with-metadata-geolytica
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Jul 30, 2022
    Dataset authored and provided by
    Geolytica
    Area covered
    United States of America
    Description

    Point of Interest (POI) is defined as an entity (such as a business) at a ground location (point) which may be (of interest). We provide high-quality POI data that is fresh, consistent, customizable, easy to use and with high-density coverage for all countries of the world.

    This is our process flow:

    Our machine learning systems continuously crawl for new POI data
    Our geoparsing and geocoding calculates their geo locations
    Our categorization systems cleanup and standardize the datasets
    Our data pipeline API publishes the datasets on our data store
    

    A new POI comes into existence. It could be a bar, a stadium, a museum, a restaurant, a cinema, or store, etc.. In today's interconnected world its information will appear very quickly in social media, pictures, websites, press releases. Soon after that, our systems will pick it up.

    POI Data is in constant flux. Every minute worldwide over 200 businesses will move, over 600 new businesses will open their doors and over 400 businesses will cease to exist. And over 94% of all businesses have a public online presence of some kind tracking such changes. When a business changes, their website and social media presence will change too. We'll then extract and merge the new information, thus creating the most accurate and up-to-date business information dataset across the globe.

    We offer our customers perpetual data licenses for any dataset representing this ever changing information, downloaded at any given point in time. This makes our company's licensing model unique in the current Data as a Service - DaaS Industry. Our customers don't have to delete our data after the expiration of a certain "Term", regardless of whether the data was purchased as a one time snapshot, or via our data update pipeline.

    Customers requiring regularly updated datasets may subscribe to our Annual subscription plans. Our data is continuously being refreshed, therefore subscription plans are recommended for those who need the most up to date data. The main differentiators between us vs the competition are our flexible licensing terms and our data freshness.

    Data samples may be downloaded at https://store.poidata.xyz/us

  17. h

    Sentiment-Analysis-for-Social-Media-Monitoring

    • huggingface.co
    Updated Mar 6, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globose Technology Solutions (2025). Sentiment-Analysis-for-Social-Media-Monitoring [Dataset]. https://huggingface.co/datasets/globosetechnology12/Sentiment-Analysis-for-Social-Media-Monitoring
    Explore at:
    Dataset updated
    Mar 6, 2025
    Authors
    Globose Technology Solutions
    Description

    Problem Statement 👉 Download the case studies here A global consumer goods company struggled to understand customer sentiment across various social media platforms. With millions of posts, reviews, and comments generated daily, manually tracking and analyzing public opinion was inefficient. The company needed an automated solution to monitor brand perception, address negative feedback promptly, and leverage insights for marketing strategies. Challenge Analyzing social media sentiment posed… See the full description on the dataset page: https://huggingface.co/datasets/globosetechnology12/Sentiment-Analysis-for-Social-Media-Monitoring.

  18. D

    Social Media Security Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2024). Social Media Security Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-social-media-security-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Social Media Security Market Outlook



    The global social media security market size is anticipated to reach $5.8 billion by 2032, growing from $1.9 billion in 2023, with a compound annual growth rate (CAGR) of 12.5% during the forecast period. The increasing prevalence of social media platforms and the corresponding rise in cybersecurity threats are key growth factors in this market. Organizations are becoming more alert to the vulnerabilities associated with social media, leading to increased investments in robust security solutions targeted at protecting online presence and data. The expanding digital footprint across industries is driving demand for integrated security solutions.



    The growth of the social media security market is significantly influenced by the exponential increase in social media users globally. With billions of users engaging on platforms such as Facebook, Twitter, Instagram, and LinkedIn, the risk of data breaches, phishing attacks, and cyberbullying has intensified. Social media platforms have evolved into prime targets for cybercriminals, prompting businesses to implement advanced security measures. The need to safeguard personal data, intellectual property, and brand reputation is propelling the market, as companies strive to maintain customer trust and compliance with data protection regulations.



    Another critical driver of market growth is the increasing regulatory emphasis on data protection and privacy. Governments worldwide are enacting stringent regulations to ensure the security of personal information on social media platforms. The implementation of laws like GDPR in Europe and CCPA in the United States underscores the need for robust security measures, compelling organizations to adopt advanced social media security solutions. Additionally, the collaboration between regulatory bodies and security service providers to enhance the security infrastructure is further boosting market growth.



    The integration of artificial intelligence (AI) and machine learning (ML) technologies into social media security solutions is revolutionizing the market landscape. These technologies offer enhanced capabilities for threat detection and response by analyzing large volumes of data in real-time, identifying patterns, and predicting potential threats. The ability to provide proactive security measures through AI and ML is gaining traction among enterprises, driving the adoption of advanced security solutions. Furthermore, AI and ML enable the automation of security processes, reducing the workload on IT teams and improving overall efficiency.



    Regionally, North America is expected to dominate the social media security market due to the high adoption of social media platforms, advanced technological infrastructure, and the presence of key market players. The United States, in particular, exhibits significant growth potential, supported by increasing investments in cybersecurity and a strong focus on regulatory compliance. Meanwhile, the Asia Pacific region is projected to witness the highest growth rate due to the rapid digitization of economies, increasing internet penetration, and growing awareness of cybersecurity threats. Emerging economies like India and China are key contributors to this growth, as they continue to experience a surge in social media usage.



    Component Analysis



    The social media security market is primarily segmented into solutions and services. Solutions include software products designed to address various security threats on social media platforms. As businesses increasingly recognize the importance of safeguarding their online presence, the demand for comprehensive security solutions is rising. These solutions encompass a range of functionalities such as threat detection, data encryption, access control, and identity management, enabling organizations to protect their brand reputation and customer information. The integration of advanced technologies like AI and ML into these solutions further enhances their capabilities, offering real-time threat analysis and response.



    Services, on the other hand, are rapidly gaining traction as organizations seek external expertise to manage and optimize their social media security strategies. These services include consulting, implementation, support, and managed services. The growing complexity of security threats and the need for continuous monitoring and management are driving the demand for professional services. Organizations are increasingly outsourcing their security needs to specialized service providers to leverage their expertise, reduce operational costs, and ensure compliance with regu

  19. h

    marketing_social_media

    • huggingface.co
    Updated Aug 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rafael Montanez (2024). marketing_social_media [Dataset]. https://huggingface.co/datasets/RafaM97/marketing_social_media
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 22, 2024
    Authors
    Rafael Montanez
    Description

    Marketing Campaigns Dataset

    This repository contains a dataset specifically designed for generating marketing content. The dataset includes various features that are crucial for crafting effective marketing strategies, such as industry, channel, objective, and more. This dataset is ideal for use in machine learning models, AI-powered marketing tools, and data-driven marketing analyses.

      Dataset Overview
    

    The dataset consists of multiple entries, each representing a specific… See the full description on the dataset page: https://huggingface.co/datasets/RafaM97/marketing_social_media.

  20. Average daily time spent on social media worldwide 2012-2025

    • statista.com
    Updated Jun 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Average daily time spent on social media worldwide 2012-2025 [Dataset]. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/
    Explore at:
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    How much time do people spend on social media? As of 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media 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.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista Research Department (2025). Twitter users in the United States 2019-2028 [Dataset]. https://www.statista.com/topics/3196/social-media-usage-in-the-united-states/
Organization logo

Twitter users in the United States 2019-2028

Explore at:
Dataset updated
Jul 31, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Area covered
United States
Description

The number of Twitter users in the United States was forecast to continuously increase between 2024 and 2028 by in total 4.3 million users (+5.32 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 85.08 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.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).Find more key insights for the number of Twitter users in countries like Canada and Mexico.

Search
Clear search
Close search
Google apps
Main menu