100+ datasets found
  1. Daily social media usage worldwide 2012-2020

    • statista.com
    Updated Jun 25, 2025
    + more versions
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    Statista (2025). Daily social media usage worldwide 2012-2020 [Dataset]. https://www.statista.com/statistics/1248450/daily-social-media-usage-worldwide/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    How much time do people spend on social media? As of 2019 and 2020, the average daily social media usage of internet users worldwide amounted to *** minutes per day, up from *** minutes in the previous year. Currently, the country with the most time spent on social media per day is the Philippines, with online users spending an average of ***** hours and ** minute on social media each day. In comparison, the daily time spent with social media in the U.S. was just *** hours and ***** minutes. Global social media usageCurrently, the global social network penetration rate is nearly ** percent. Western Europe had a ** percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with *** and ***** 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 flipside, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

  2. S

    Social Media Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    Search Logistics (2025). Social Media Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-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

    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.

  3. E

    Social Media Marketing Statistics By Sales, Usage, Platform, Content, AI and...

    • electroiq.com
    Updated Mar 24, 2025
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    Electro IQ (2025). Social Media Marketing Statistics By Sales, Usage, Platform, Content, AI and Advertising [Dataset]. https://electroiq.com/stats/social-media-marketing-statistics/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Social Media Marketing Statistics: Social media marketing is a key part of any digital marketing plan today. With over 50% of the world’s population using social media, brands need to be active on these platforms. But it’s not just about making profiles and posting content. Effective social media marketing involves keeping up with changing algorithms and trends and understanding the behaviors of your target audience. Social media’s interactive and engaging nature helps businesses connect with their audience in ways they couldn’t before.

    This opens up new opportunities for engaging with people, building the brand, and doing direct marketing. We shall shed more light on Social Media Marketing Statistics through this article.

  4. s

    Social Media Usage By Country

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Usage By Country [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-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 results might surprise you when looking at internet users that are active on social media in each country.

  5. Social Media Platforms in the UK - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Social Media Platforms in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/market-research-reports/social-media-platforms-industry/
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    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United Kingdom
    Description

    Social media platforms are integral to people's lives, offering ways to communicate, create and view content and share information. According to Ofcom, approximately 89% of UK internet users in 2023 used social media apps or sites. Teenagers and young adults are the biggest users, although there is rapid uptake among older age groups. Advertising is the primary revenue source for social media platforms, although subscription-based services are gaining momentum as platforms seek to diversify their incomes. TikTok is the success story of the last few years, becoming the most downloaded app between 2020 and 2022, according to Apptopia. The short-form video platform reported that it averaged revenue growth of over 450% between 2019 and 2022. After Musk's takeover, X, formerly known as Twitter, adjusted its content moderation and allowed previously banned accounts to return. As a result, over 600 advertisers have pulled their ads from the site because of fears their brand may be associated with malcontent. In response to falling ad revenue, X has introduced a subscription-based service which enables users to verify themselves and boosts the number of people who view their tweets. Meta-owned Facebook and Instagram have responded by introducing a similar service. Revenue is expected to grow by 14.3% in 2024-25, constrained by a slowdown in user growth for most major social media platforms. Over the five years through 2024-25, revenue is forecast to expand at a compound annual rate of 32.8% to reach £9.8 billion. Looking forward, regulations relating to how data is collected, stored, and shared will force advertisers and platforms to rethink how they can target their desired demographics. The rising prominence of AI will require the introduction of adequate regulations. The Online Safety Bill sets out new guidelines for social media platforms to abide by, with hefty fines in store for those who do not. Operating costs will swell as platforms look to meet consumers’ expectations, weighing on profit. Over the five years through 2029-30, social media platforms' revenue is projected to climb at an estimated 9.4% to reach £15.4 billion.

  6. s

    Social Media Worldwide Advertising Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Worldwide Advertising Statistics [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

    Global ad spend were expected to reach over $134 billion in 2022. This means that it has increased by over 17% yearly.

  7. s

    Social Media Worldwide Usage Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Worldwide Usage Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-user-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

    Which countries spent the most and least time on social media?

  8. Social Media vs Productivity

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

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

    Description

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

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

    🔍 What’s Inside?

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

    🧠 Why This Dataset is Valuable

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

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

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

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

    🧾 Columns & Feature Info

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

    📌 Notes

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

    💡 Use Cases

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

    📥 Bonus

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

  9. s

    Social Media Worldwide Usage Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (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.

  10. Instagram: distribution of global audiences 2024, by gender

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

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

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

    Data set belonging to Valkenburg et al. (2021). Social media use and...

    • uvaauas.figshare.com
    txt
    Updated May 30, 2023
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    P.M. Valkenburg; I. Beyens; J.L. Pouwels; I.I. van Driel; Loes Keijsers (2023). Data set belonging to Valkenburg et al. (2021). Social media use and adolescents’ self-esteem: Heading for a person-specific media effects paradigm [Dataset]. http://doi.org/10.21942/uva.19249145.v3
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    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    P.M. Valkenburg; I. Beyens; J.L. Pouwels; I.I. van Driel; Loes Keijsers
    License

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

    Description

    This data set belongs to:Valkenburg, P. M., Beyens, I., Pouwels, J. L., van Driel, I. I., & Keijsers, L. (2021). Social media use and adolescents' self-esteem: Heading for a person-specific media effects paradigm. Journal of Communication, 71(1), 56-78. https://doi.org/10.1093/joc/jqaa039More information about the study is available on the Open Science Framework (OSF), including the preregistration of the design and sampling plan (https://osf.io/327cx), the preregistration of the hypotheses and analysis plan (https://osf.io/peqa4), and all syntax files (https://osf.io/y3z7d).For more information, please contact the authors at p.m.valkenburg@uva.nl or info@project-awesome.nl.

  12. s

    Social Media Usage By Age

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Usage By Age [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

    Gen Z and Millennials are the biggest social media users of all age groups.

  13. d

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

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

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

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

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

    Products: API Suite Web UI Full and Custom Data Feeds

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

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

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

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

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

    Data from: A Dataset of Coordinated Cryptocurrency-Related Social Media...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 12, 2024
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    Zilius, Karolis (2024). A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7539178
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    Dataset updated
    Jul 12, 2024
    Dataset provided by
    Zilius, Karolis
    Spiliotopoulos, Tasos
    van Moorsel, Aad
    License

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

    Description

    Note: This version simply updates the dataset with a new Readme - Supplementary Material file.

    The paper describing this dataset can be cited as:

    Zilius, K., Spiliotopoulos, T., & van Moorsel, A. (2023). A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns. Proceedings of the International AAAI Conference on Web and Social Media, 17(1), 1112-1121. https://doi.org/10.1609/icwsm.v17i1.22219

    Abstract

    The rise in adoption of cryptoassets has brought many new and inexperienced investors in the cryptocurrency space. These investors can be disproportionally influenced by information they receive online, and particularly from social media. This paper presents a dataset of crypto-related bounty events and the users that participate in them. These events coordinate social media campaigns to create artificial "hype" around a crypto project in order to influence the price of its token. The dataset consists of information about 15.8K cross-media bounty events, 185K participants, 10M forum comments and 82M social media URLs collected from the Bounties(Altcoins) subforum of the BitcoinTalk online forum from May 2014 to December 2022. We describe the data collection and the data processing methods employed and we present a basic characterization of the dataset. Furthermore, we discuss potential research opportunities afforded by the dataset across many disciplines and we highlight potential novel insights into how the cryptocurrency industry operates and how it interacts with its audience.

  16. f

    Data_Sheet_1_Social Media Use and Mental Health and Well-Being Among...

    • frontiersin.figshare.com
    docx
    Updated May 30, 2023
    + more versions
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    Viktor Schønning; Gunnhild Johnsen Hjetland; Leif Edvard Aarø; Jens Christoffer Skogen (2023). Data_Sheet_1_Social Media Use and Mental Health and Well-Being Among Adolescents – A Scoping Review.docx [Dataset]. http://doi.org/10.3389/fpsyg.2020.01949.s001
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Viktor Schønning; Gunnhild Johnsen Hjetland; Leif Edvard Aarø; Jens Christoffer Skogen
    License

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

    Description

    Introduction: Social media has become an integrated part of daily life, with an estimated 3 billion social media users worldwide. Adolescents and young adults are the most active users of social media. Research on social media has grown rapidly, with the potential association of social media use and mental health and well-being becoming a polarized and much-studied subject. The current body of knowledge on this theme is complex and difficult-to-follow. The current paper presents a scoping review of the published literature in the research field of social media use and its association with mental health and well-being among adolescents.Methods and Analysis: First, relevant databases were searched for eligible studies with a vast range of relevant search terms for social media use and mental health and well-being over the past five years. Identified studies were screened thoroughly and included or excluded based on prior established criteria. Data from the included studies were extracted and summarized according to the previously published study protocol.Results: Among the 79 studies that met our inclusion criteria, the vast majority (94%) were quantitative, with a cross-sectional design (57%) being the most common study design. Several studies focused on different aspects of mental health, with depression (29%) being the most studied aspect. Almost half of the included studies focused on use of non-specified social network sites (43%). Of specified social media, Facebook (39%) was the most studied social network site. The most used approach to measuring social media use was frequency and duration (56%). Participants of both genders were included in most studies (92%) but seldom examined as an explanatory variable. 77% of the included studies had social media use as the independent variable.Conclusion: The findings from the current scoping review revealed that about 3/4 of the included studies focused on social media and some aspect of pathology. Focus on the potential association between social media use and positive outcomes seems to be rarer in the current literature. Amongst the included studies, few separated between different forms of (inter)actions on social media, which are likely to be differentially associated with mental health and well-being outcomes.

  17. s

    How Many Social Media Accounts Does The Average Person Have?

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). How Many Social Media Accounts Does The Average Person Have? [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-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 average person has 8-9 social media accounts. This has doubled since 2013, when the average person just had 4-5 accounts.

  18. S

    Social Media Addiction Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    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.

  19. Social Media Posts in Arabic Dialect

    • kaggle.com
    Updated Jul 11, 2024
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    UM6P Open Data (2024). Social Media Posts in Arabic Dialect [Dataset]. https://www.kaggle.com/datasets/um6popendata/sentiment-analysis-for-sm-posts-in-arabic-dialect
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Kaggle
    Authors
    UM6P Open Data
    License

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

    Description

    Dataset: Sentiment Analysis for Social Media Posts in Arabic Dialect

    Overview

    This dataset contains a labeled collection of approximately 50,000 social media posts in various Arabic dialects. Each post has been manually annotated with sentiment labels, providing a rich resource for natural language processing and sentiment analysis research.

    Dataset Owner

    UM6P College of Computing

    Content

    • Posts: The dataset includes raw text data of social media posts written in different Arabic dialects.
    • Sentiment Labels: Each post is labeled with one of the following sentiment categories:
      • Positive
      • Negative
      • Neutral

    Features

    • Post ID: A unique identifier for each social media post.
    • Text: The content of the social media post in Arabic.
    • Sentiment: The sentiment label assigned to the post (Positive, Negative, Neutral).

    Format

    The dataset is provided in a CSV format with the following columns: - Post_ID: Integer - Text: String - Sentiment: String (Positive, Negative, Neutral)

    Usage

    This dataset is ideal for tasks such as: - Training sentiment analysis models - Studying sentiment trends in Arabic social media - Exploring the linguistic characteristics of Arabic dialects - Benchmarking sentiment analysis tools

    Example Data

    Post_IDTextSentiment
    1"هذا المنتج رائع جدًا وأحببته كثيرًا"Positive
    2"لم يعجبني هذا الفيلم، كان مملًا جدًا"Negative
    3"الطقس اليوم عادي، لا يوجد شيء مميز"Neutral

    Licensing

    Please refer to the dataset license included in the dataset files for information on usage rights and restrictions.

    Citation

    An open access NLP dataset for Arabic dialects: data collection, labeling, and model construction, Elmehdi Boujou, Hamza Chataoui, Abdellah El Mekki, Saad Benjelloun, Ikram Chairi and Ismail Berrada MENACIS 2020 conference, In press.

  20. D

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

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Social Media Management Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-social-media-management-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    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 Management Market Outlook



    The social media management market size is projected to exhibit a significant growth trajectory, with a compound annual growth rate (CAGR) of approximately 14% from 2024 to 2032. In 2023, the global market was valued at around USD 12 billion, and it is anticipated to reach approximately USD 28 billion by 2032. The significant growth can be attributed to the increasing adoption of social media platforms for brand awareness and customer engagement, as well as the rising need for businesses to manage their online presence effectively. The proliferation of smartphones and internet connectivity has exponentially increased the number of social media users globally, which in turn drives the demand for comprehensive social media management solutions.



    One of the key growth factors in the social media management market is the increasing penetration of social media platforms across diverse demographics. Social media is no longer confined to younger audiences but has expanded its reach to older age groups, creating a broader user base for businesses to target. This shift in demographic usage patterns necessitates more sophisticated and targeted social media strategies, thereby boosting the demand for management tools that can analyze and optimize content for diverse audiences. In addition, businesses are increasingly recognizing the value of data-driven insights derived from social media analytics, which are crucial for tailoring marketing strategies and improving customer engagement.



    Another significant driver is the surge in digital marketing expenditure by businesses across various industries. As traditional advertising channels lose efficacy, companies are shifting their focus towards digital platforms, where social media occupies a prominent position. This transition is powered by the need to reach a global audience instantly and to leverage the interactive nature of social media for real-time customer feedback and engagement. Consequently, businesses are investing more in social media management solutions that offer advanced features such as scheduling, analytics, customer interaction management, and content creation tools to enhance their online marketing efforts.



    Moreover, technological advancements in artificial intelligence (AI) and machine learning (ML) are playing a pivotal role in the evolution of social media management tools. These technologies are enabling more sophisticated functionalities like predictive analytics, automated customer interactions, and personalized content delivery. AI-powered chatbots, for instance, are increasingly being used for customer service on social media platforms, providing instant responses and enhancing user experience. As these technologies continue to evolve, they are expected to offer even more refined tools for social media management, further fueling market growth.



    In this evolving landscape, Social Media Contest Platforms have emerged as a dynamic tool for brands to engage with their audience creatively and effectively. These platforms provide businesses with the ability to host interactive contests and giveaways, which can significantly boost brand visibility and user engagement. By leveraging these platforms, companies can tap into the viral nature of social media, encouraging users to share content and participate in brand-related activities. This not only enhances customer interaction but also helps in gathering valuable user-generated content and insights. As businesses strive to create memorable social media experiences, incorporating contest platforms into their strategies can lead to increased brand loyalty and a wider reach.



    From a regional perspective, North America holds a dominant position in the social media management market due to early technology adoption and the presence of major social media and software companies. However, the Asia Pacific region is anticipated to witness the fastest growth over the forecast period. The rapid digitalization across emerging economies, coupled with increasing social media penetration and mobile internet users, is driving the demand for social media management solutions. Europe is also expected to exhibit substantial growth due to the rising focus on digital transformation among businesses in the region.



    Component Analysis



    The social media management market can be segmented by components into software and services. Software solutions constitute a major portion of the market as they provide comprehensiv

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Statista (2025). Daily social media usage worldwide 2012-2020 [Dataset]. https://www.statista.com/statistics/1248450/daily-social-media-usage-worldwide/
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Daily social media usage worldwide 2012-2020

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Dataset updated
Jun 25, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

How much time do people spend on social media? As of 2019 and 2020, the average daily social media usage of internet users worldwide amounted to *** minutes per day, up from *** minutes in the previous year. Currently, the country with the most time spent on social media per day is the Philippines, with online users spending an average of ***** hours and ** minute on social media each day. In comparison, the daily time spent with social media in the U.S. was just *** hours and ***** minutes. Global social media usageCurrently, the global social network penetration rate is nearly ** percent. Western Europe had a ** percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with *** and ***** 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 flipside, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

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