21 datasets found
  1. Direct messages sent to women on Instagram containing violating content...

    • statista.com
    Updated Apr 6, 2022
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    Statista (2022). Direct messages sent to women on Instagram containing violating content 2021-2022 [Dataset]. https://www.statista.com/statistics/1301118/instagram-violating-content-sent-to-women-dms/
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    Dataset updated
    Apr 6, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 28, 2021 - Feb 28, 2022
    Area covered
    Worldwide
    Description

    A study conducted between December 2021 and February 2022, found that out of 8,720 pieces of content sent to high-profile women, 6.5 percent contained misogyny, image-based sexual abuse, hatred, or graphic content. Overall, the participants of the study were most likely to receive abuse via video content, with over 17 percent of the direct messages examined containing violating content in this format. Additionally, 14.1 percent of violating content was send in audio form.

  2. Daily Social Media Active Users

    • kaggle.com
    zip
    Updated May 5, 2025
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    Shaik Barood Mohammed Umar Adnaan Faiz (2025). Daily Social Media Active Users [Dataset]. https://www.kaggle.com/datasets/umeradnaan/daily-social-media-active-users
    Explore at:
    zip(126814 bytes)Available download formats
    Dataset updated
    May 5, 2025
    Authors
    Shaik Barood Mohammed Umar Adnaan Faiz
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Description:

    The "Daily Social Media Active Users" dataset provides a comprehensive and dynamic look into the digital presence and activity of global users across major social media platforms. The data was generated to simulate real-world usage patterns for 13 popular platforms, including Facebook, YouTube, WhatsApp, Instagram, WeChat, TikTok, Telegram, Snapchat, X (formerly Twitter), Pinterest, Reddit, Threads, LinkedIn, and Quora. This dataset contains 10,000 rows and includes several key fields that offer insights into user demographics, engagement, and usage habits.

    Dataset Breakdown:

    • Platform: The name of the social media platform where the user activity is tracked. It includes globally recognized platforms, such as Facebook, YouTube, and TikTok, that are known for their large, active user bases.

    • Owner: The company or entity that owns and operates the platform. Examples include Meta for Facebook, Instagram, and WhatsApp, Google for YouTube, and ByteDance for TikTok.

    • Primary Usage: This category identifies the primary function of each platform. Social media platforms differ in their primary usage, whether it's for social networking, messaging, multimedia sharing, professional networking, or more.

    • Country: The geographical region where the user is located. The dataset simulates global coverage, showcasing users from diverse locations and regions. It helps in understanding how user behavior varies across different countries.

    • Daily Time Spent (min): This field tracks how much time a user spends on a given platform on a daily basis, expressed in minutes. Time spent data is critical for understanding user engagement levels and the popularity of specific platforms.

    • Verified Account: Indicates whether the user has a verified account. This feature mimics real-world patterns where verified users (often public figures, businesses, or influencers) have enhanced status on social media platforms.

    • Date Joined: The date when the user registered or started using the platform. This data simulates user account history and can provide insights into user retention trends or platform growth over time.

    Context and Use Cases:

    • This synthetic dataset is designed to offer a privacy-friendly alternative for analytics, research, and machine learning purposes. Given the complexities and privacy concerns around using real user data, especially in the context of social media, this dataset offers a clean and secure way to develop, test, and fine-tune applications, models, and algorithms without the risks of handling sensitive or personal information.

    Researchers, data scientists, and developers can use this dataset to:

    • Model User Behavior: By analyzing patterns in daily time spent, verified status, and country of origin, users can model and predict social media engagement behavior.

    • Test Analytics Tools: Social media monitoring and analytics platforms can use this dataset to simulate user activity and optimize their tools for engagement tracking, reporting, and visualization.

    • Train Machine Learning Algorithms: The dataset can be used to train models for various tasks like user segmentation, recommendation systems, or churn prediction based on engagement metrics.

    • Create Dashboards: This dataset can serve as the foundation for creating user-friendly dashboards that visualize user trends, platform comparisons, and engagement patterns across the globe.

    • Conduct Market Research: Business intelligence teams can use the data to understand how various demographics use social media, offering valuable insights into the most engaged regions, platform preferences, and usage behaviors.

    • Sources of Inspiration: This dataset is inspired by public data from industry reports, such as those from Statista, DataReportal, and other market research platforms. These sources provide insights into the global user base and usage statistics of popular social media platforms. The synthetic nature of this dataset allows for the use of realistic engagement metrics without violating any privacy concerns, making it an ideal tool for educational, analytical, and research purposes.

    The structure and design of the dataset are based on real-world usage patterns and aim to represent a variety of users from different backgrounds, countries, and activity levels. This diversity makes it an ideal candidate for testing data-driven solutions and exploring social media trends.

    Future Considerations:

    As the social media landscape continues to evolve, this dataset can be updated or extended to include new platforms, engagement metrics, or user behaviors. Future iterations may incorporate features like post frequency, follower counts, engagement rates (likes, comments, shares), or even sentiment analysis from user-generated content.

    By leveraging this dataset, analysts and data scientists can create better, more effective strategies ...

  3. f

    Data Sheet 1_Examining the use of different message categories to...

    • frontiersin.figshare.com
    xlsx
    Updated Sep 10, 2025
    + more versions
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    Sana Parveen; Wei-Jan Chang; Patricia McHugh; Akke Vellinga (2025). Data Sheet 1_Examining the use of different message categories to communicate AMR: a content analysis of instagram posts.xlsx [Dataset]. http://doi.org/10.3389/fdgth.2025.1564584.s002
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    xlsxAvailable download formats
    Dataset updated
    Sep 10, 2025
    Dataset provided by
    Frontiers
    Authors
    Sana Parveen; Wei-Jan Chang; Patricia McHugh; Akke Vellinga
    License

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

    Description

    Background/objectivesAntimicrobial resistance (AMR) is a major worldwide concern with severe implications for public health, contributing to almost 5 million deaths in 2019. One of the main causes of AMR is overuse and misuse of antibiotics, which can be addressed by increasing awareness and educating the public on this issue. Studies have demonstrated the potential of social media to educate the public and influence behaviour. Instagram's unique features, such as its visual nature and user-friendly interface, make it well-suited for exploring health behaviours and disseminating information on various health topics. Research shows 65.4% of young adults (18–36 years old) use Instagram as their main source of information.MethodsThis study examined AMR posts from Instagram from January 1, 2017 to July 15, 2023. In total, 4,606 images and videos were initially extracted which corresponded to 3,261 Instagram posts. After data cleaning, a final dataset of 574 posts were categorised into 6 message categories which were humour, shock/disgust/fear, personal stories/statements, educational/informative, opportunistic and advocacy.ResultsThe most common post category was educational/informative (78%) and humour was the least common (2%). We also looked at the average engagement (likes) with these posts, the educational/informative category received the most likes per post (mean of 30). The fear/shock/disgust category received 25 likes per post, humour and personal stories/statements 18 and 21 respectively.ConclusionsOur study shows Instagram has hardly been used for AMR interventions. An important population group of young adults who use Instagram as their main source of information, is missed in public health messaging on AMR.

  4. TrialNet 09: Effects of CTLA-4 IG (Abatacept) on the Progression of Type 1...

    • repository.niddk.nih.gov
    Updated Sep 19, 2023
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    NIDDK Central Repository (2023). TrialNet 09: Effects of CTLA-4 IG (Abatacept) on the Progression of Type 1 Diabetes in New Onset Subjects [Dataset]. https://repository.niddk.nih.gov/study/79
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    Dataset updated
    Sep 19, 2023
    Time period covered
    Feb 2008 - May 2012
    Variables measured
    The primary outcome was comparison of the area under the curve of stimulated C-peptide response over the first 2 hours of the 4 hour MMTTs conducted at the 24 month visit and baseline. Secondary outcomes included slope of C-peptide over time, difference between groups in incidence of loss of peak C-peptide to < 0•2 pmol/ml, differences in HbA1c and insulin dose over time, and safety.
    Dataset funded by
    National Institute of Diabetes and Digestive and Kidney Diseaseshttp://niddk.nih.gov/
    Division of Diabetes, Endocrinology, and Metabolic Diseases
    Description

    The immunopathogenesis of type 1 diabetes mellitus is associated with T-cell autoimmunity. To be fully active, immune T cells need a co-stimulatory signal in addition to the main antigen-driven signal. Abatacept modulates co-stimulation and prevents full T-cell activation. Therefore, this multicenter, double-blind, randomized, controlled trial evaluated the effect of abatacept in subjects with recently diagnosed type 1 diabetes mellitus. Subjects were randomly assigned in a 2:1 ratio to receive either the experimental treatment of 30 minute intravenous infusion of 10 mg/kg of CTLA-4 Ig (abatacept) or an intravenous saline solution (placebo). The treatments were administered on days 1, 14, 28, and then every 28 days for a total of 27 doses over 700 days. All subjects received intensive diabetes management with the goal of achieving excellent glycemic control. 2 hour mixed meal tolerance tests (MMTT) were performed at 3, 6, 12 and 18 months. Four hour MMTTs were performed at baseline and at 24 months. Safety and efficacy were assessed over a two year follow-up period.

  5. d

    Chat Interaction & Keyboard Behavior Data APAC (Messaging Patterns & In-App...

    • datarade.ai
    .csv, .xls, .txt
    Updated Nov 23, 2025
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    AI Keyboard (2025). Chat Interaction & Keyboard Behavior Data APAC (Messaging Patterns & In-App Searches, 90M+ records) - 1st Party Data [Dataset]. https://datarade.ai/data-products/1st-party-data-keyboard-inputs-chats-in-app-searches-bobble-ai
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    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 23, 2025
    Dataset authored and provided by
    AI Keyboard
    Area covered
    Brazil, Germany, India, Malaysia, Indonesia, Bangladesh, Saudi Arabia, Singapore, Sri Lanka, Nepal
    Description

    The Keyboard Inputs Data – Text, Voice & Search Queries (APAC) is a privacy-safe, first-party dataset that captures real, everyday conversations and searches made across popular messaging and social apps like WhatsApp, Instagram, YouTube, and others. Sourced from AI-powered keyboard applications, this dataset provides one of the richest and most accurate views of user intent, behavior, and engagement patterns across the APAC region.

    It processes chats, searches, and voice inputs in real-time to uncover valuable insights into what people are thinking, planning, or looking for online.

    🔍 How It Works Text & Voice Intents: Real-time conversations on chat and social apps are analyzed using AI to detect user intents and emotions. Examples include: • Intent to order food online • Intent to buy a product • Intent to make a payment • Mood to watch a movie • Interest in travel or gifting

    Search Queries: Search data from multiple apps — like Google, YouTube, and e-commerce platforms — is captured and processed to derive meaningful intents or custom use cases, helping understand what users are actively seeking or planning.

    🎯 Use Cases • Audience Targeting & Segmentation: Identify users with real purchase or engagement intent (e.g., travel, shopping, finance) • Contextual Advertising: Deliver ads when the user’s intent is strongest • Conversational AI & NLP Training: Build or refine chatbots and language models using authentic user interactions • Market Research & Trend Analysis: Understand what consumers talk about, search for, or feel strongly about • Product & Content Personalization: Tailor app experiences based on user intent

    🏢 Industries Benefiting • AdTech & MarTech • BFSI (Banking, Financial Services & Insurance) • E-commerce & Retail • Food & Travel • Consumer Research • AI & Machine Learning

    This AI-enriched conversation and search intent dataset helps brands, researchers, and AI developers tap into real-world digital behaviors. With over 90 million records refreshed regularly, it empowers organizations to decode user intent, emotion, and engagement — fueling smarter decision-making and hyper-personalized experiences.

  6. Data from: Amandaba in the Caeté: culture circles as an educational practice...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Suelen Trindade Correa; Socorro Castelo-Branco (2023). Amandaba in the Caeté: culture circles as an educational practice in the self-care of patients with diabetes [Dataset]. http://doi.org/10.6084/m9.figshare.11966184.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Suelen Trindade Correa; Socorro Castelo-Branco
    License

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

    Description

    ABSTRACT The aim of this study was to evaluate the pedagogical strategy of Paulo Freire’s culture circles in adherence to self-care in patients with Diabetes Mellitus. A randomized clinical test was performed with 72 participants, allocated into Intervention Group (IG) and Control Group (CG).The IG participated in six circles to discuss and unveil the generative themes: diet, medication, diabetes complications and foot care; the CG participated only in routine consultations. The change provided by the circles after three months of intervention was evaluated through the Diabetes Self-Care Activity Questionnaire, fasting capillary glycemia, systolic and diastolic arterial pressure, body mass index and abdominal circumference. The IG showed a statistically significant increase in self-care adherence to healthy diet, physical exercise, glycemic monitoring and examination and drying of the feet and reduced fasting capillary glycemia (211.6 ± 102.5 to 181.9 ± 66.3 mg/dL), systolic arterial pressure 125(120-140) to 120(117.5-130 mmHg) and abdominal circumference (96.3 ± 9.5 to 95.5 ± 9.1 cm), while in the CG there were no changes during the study. The culture circles, as an educational approach, were able to improve the self-care adherence practices of patients with diabetes and provide improvement in some cardiovascular risk parameters.

  7. Teen daily users of social media and messaging by platform Australia 2024

    • statista.com
    Updated Aug 20, 2024
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    Statista (2024). Teen daily users of social media and messaging by platform Australia 2024 [Dataset]. https://www.statista.com/statistics/1488343/australia-teenage-daily-users-social-media-messaging/
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    Dataset updated
    Aug 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Australia
    Description

    In Australia in 2024, the most popular social media and messaging platforms for Australian teens were Snapchat, TikTok and Instagram. Snapchat had ** percent of teens using the app, TikTok had ** percent, and Instagram had ** percent.

  8. Leading social media and messaging platforms in Germany 2023

    • statista.com
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    Statista, Leading social media and messaging platforms in Germany 2023 [Dataset]. https://www.statista.com/statistics/867539/top-active-social-media-platforms-in-germany/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    WhatsApp was the leading actively used messenger service in Germany in 2021. Almost 84 percent of users confirmed this. While WhatsApp is foremost a messaging service, certain features indicate similarities with social media networks, as sharing and posting between users still occurs, just not necessarily on a publicly accessible website. Delivering the message For most of the population, modern life is unimaginable without messenger apps. Texting has become much more varied as a form of communication thanks to extended file and content sharing options within messages. There is no doubt that WhatsApp is a popular messaging app in Germany. In 2023, almost 85 percent of people were messaging on WhatsApp every day. By 2025, it is estimated that over 53 million people will be using WhatsApp in Germany, suggesting it's popularity as a messaging app will not diminish with time. Personal data While Facebook is extremely popular in many different countries, long-term questions and concerns from users continue to arise, with personal data security being one of the leading topics of discussion. In general, the there have been many breaches of personal data online. At the same time, social media continues to enjoy rising popularity and use among the German population, both in a private and professional context.

  9. Facebook: distribution of global audiences 2024, by age and gender

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, Facebook: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

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

                  Facebook connects the world
    
                  Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
                  as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.
    
  10. Most used messaging apps on a daily basis of 18-24 year olds in Belgium 2017...

    • statista.com
    Updated Oct 15, 2018
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    Statista Research Department (2018). Most used messaging apps on a daily basis of 18-24 year olds in Belgium 2017 [Dataset]. https://www.statista.com/study/56934/messaging-apps-in-the-benelux/
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    Dataset updated
    Oct 15, 2018
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Belgium
    Description

    This statistic shows the results of a survey question regarding the most used messenger apps on a daily basis of 18 to 24 year olds in Belgium in 2017. According to data provided by Deloitte, Snapchat and Instagram especially popular among the 18-24 demographic for communication purposes. As of February 2018, Facebook Messenger had approximately 39,000 downloads by iPhone users in Belgium.

    According to exclusive data by Statista’s Market Analytics team, based on calculations and estimates derived from relevant primary data and third-party data analysis, the number of monthly active Belgian Facebook users is projected to reach close to 6.6 million individuals in 2021.

  11. Most used social media and messaging platforms for news consumption in...

    • statista.com
    Updated Nov 27, 2025
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    Statista (2025). Most used social media and messaging platforms for news consumption in Romania 2024 [Dataset]. https://www.statista.com/statistics/1198565/romania-social-media-platform-for-news-consumption/
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    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024 - Feb 2024
    Area covered
    Romania
    Description

    Facebook was the most used social media platform for news consumption in 2024 in Romania, followed by YouTube. The least used social media platform for news purposes in Romania in 2024 was Instagram, while TikTok rose to the ****** place for the first time in the rankings.

  12. Number of social network users worldwide 2017-2030

    • statista.com
    + more versions
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    Statista, Number of social network users worldwide 2017-2030 [Dataset]. https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    How many people use social media? Social media usage is one of the most popular online activities. In 2025, over *** billion people were estimated to be using social media worldwide, a number projected to increase to over *** billion in 2030. Who uses social media? Social networking is one of the most popular digital activities worldwide, and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at ** percent. This figure is anticipated to grow as less developed digital markets catch up with other regions when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. The mobile-first market of Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe. How much time do people spend on social media? Social media is an integral part of daily internet usage. On average, internet users spend *** minutes per day on social media and messaging apps, an increase of ** minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media. What are the most popular social media platforms? Market leader Facebook was the first social network to surpass *** billion registered accounts and currently boasts approximately *** billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.

  13. Brazil: usage of selected mobile messaging apps 2018-2025

    • statista.com
    Updated Nov 25, 2025
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    Statista (2025). Brazil: usage of selected mobile messaging apps 2018-2025 [Dataset]. https://www.statista.com/statistics/798131/brazil-use-mobile-messaging-apps/
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    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    Approximately ** percent of smartphone owners surveyed in Brazil in February 2025 said they had WhatsApp installed on their mobile devices. Instagram and Facebook Messenger ranked second and third, as ** percent and ** percent of respondents claimed to have the two Meta's applications on their devices. Meanwhile, ** percent of interviewees claimed to have Telegram on their phones, up from ** percent on the previous year. Furthermore, ** percent of smartphone users in that South American country stated that they had the Signal app on their devices. ‘Zapzap’ as a lifestyle The use of WhatsApp in Brazil – where the app is often nicknamed ‘zapzap’ – spans beyond the realm of texting. Whereas the share of Brazilian smartphone owners who send SMS text messages declined, most WhatsApp users utilized the app to exchange text and voice messages, besides images. It also serves as a sales channel for small and medium-sized enterprises. WhatsApp’s competition gets tighter This app kept a stable penetration rate in Brazil in the past few years, but Telegram and Signal are trending up. Still, competitors of WhatsApp have a long way to go: only ** percent of Telegram users surveyed in Brazil in 2025 said they used the app daily or almost daily, despite the rate of respondents that stated never or almost never using it coming down to *** percent.

  14. Adult daily users of social media and messaging by platform Australia 2024

    • statista.com
    Updated Aug 20, 2024
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    Statista (2024). Adult daily users of social media and messaging by platform Australia 2024 [Dataset]. https://www.statista.com/statistics/1488692/australia-adult-daily-users-social-media-messaging/
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    Dataset updated
    Aug 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Australia
    Description

    In 2024, the most popular social media and messaging platforms among adults in Australia were Facebook, WhatsApp, and Instagram. Facebook was used by ** percent of adults, WhatsApp by ** percent, and Instagram by ** percent. New popular formats of social networks In addition to traditional social media platforms like Facebook and Instagram, alternative formats are gaining popularity in Australia. Snapchat, known for its ephemeral content, is steadily growing nowadays. Between 2024 and 2028, the platform's user base is expected to increase by *** million, reaching a peak of **** million users. Similarly, LinkedIn, a prominent platform for professional networking, is projected to expand by *** million users during the same period, reaching a peak of ***** million users by 2028. This consistent growth across both platforms highlights the diverse ways Australians are engaging with social media, whether for personal expression or professional connections. Social media growth increasing In Australia, social media remains a dominant force in digital engagement, with ** percent of respondents in a 2024 survey identifying social media websites and apps as their most used online services. This aligns with the global increase in social media engagement. As of February 2022, about **** percent of Australians were active on social media, a significant increase from ** percent in 2015. This rapid growth shows the expanding role of social media in daily life, indicating its increasing significance and integration into various forms of communication and entertainment.

  15. Social media and messaging app usage frequency India 2022, by platform

    • statista.com
    Updated Oct 15, 2022
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    Statista (2022). Social media and messaging app usage frequency India 2022, by platform [Dataset]. https://www.statista.com/statistics/1388171/india-social-media-and-messaging-app-usage-by-platform/
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    Dataset updated
    Oct 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2022
    Area covered
    India
    Description

    A survey conducted in January 2022 revealed WhatsApp as the most used platform among social media and messaging apps in India, with ** percent of respondents using it many times a day. This was followed by YouTube, Facebook, and Instagram. The source revealed, despite the popularity of social media and messaging apps among Indians, three-fifth of the population never used these platforms,mainly due to lack of access to technology or smartphones.

  16. German retail brands with the most Instagram followers 2019

    • statista.com
    Updated Jan 13, 2020
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    Statista (2020). German retail brands with the most Instagram followers 2019 [Dataset]. https://www.statista.com/statistics/1087597/most-followers-instagram-retail-brands-germany/
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    Dataset updated
    Jan 13, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Germany
    Description

    DM Deutschland is the most popular Germany based retail brand on Instagram according to influencerdb.net, with approximately *** million followers. Bilou claimed second place, with close to **** million followers.

  17. Leading messaging apps and services in France 2024, by reach

    • statista.com
    Updated Mar 21, 2025
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    Statista (2025). Leading messaging apps and services in France 2024, by reach [Dataset]. https://www.statista.com/statistics/1029506/messengers-voip-penetration-france/
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France
    Description

    As of the third quarter of 2024, more than 70 percent of internet users in France were using Facebook. WhatsApp was the second most popular messaging platform, with a 66.6 percent usage reach. Additionally, 60.7 percent of French online audiences used Instagram as of the examined period.

  18. Social media platforms with highest user activity in Japan Q3 2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Social media platforms with highest user activity in Japan Q3 2024 [Dataset]. https://www.statista.com/statistics/684192/japan-most-active-social-media-platforms/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    The messaging app LINE was used by **** percent of internet users in Japan during the third quarter of 2024. LINE was the most used social media service, ahead of X, Instagram, and TikTok.

  19. United States: leading messenger app penetration 2024

    • statista.com
    Updated May 15, 2024
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    Statista (2024). United States: leading messenger app penetration 2024 [Dataset]. https://www.statista.com/statistics/294439/messenger-app-share-us-users/
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    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 22, 2024 - Mar 29, 2024
    Area covered
    United States
    Description

    According to a survey conducted among internet users in the United States in 2024, Facebook Messenger was the most popular messaging service, with 55 percent of respondents using it. Additionally, 39 percent of U.S. adults reported using Instagram. Only two percent of U.S. adults were using the messenger apps Viber and Whisper.

  20. Leading social media platforms in Colombia 2024, by reach

    • statista.com
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    Statista, Leading social media platforms in Colombia 2024, by reach [Dataset]. https://www.statista.com/statistics/1323527/social-networks-penetration-colombia/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Colombia
    Description

    As of the third quarter of 2024, WhatsApp was by far the most used and favorite social media platform in Colombia. More than **** percent of the country's internet users used the instant messaging app, while networks like Facebook and Instagram followed were used by around **** percent and **** percent of online audiences, respectively. TikTok was accessed by around **** percent of users.

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Statista (2022). Direct messages sent to women on Instagram containing violating content 2021-2022 [Dataset]. https://www.statista.com/statistics/1301118/instagram-violating-content-sent-to-women-dms/
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Direct messages sent to women on Instagram containing violating content 2021-2022

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Dataset updated
Apr 6, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Dec 28, 2021 - Feb 28, 2022
Area covered
Worldwide
Description

A study conducted between December 2021 and February 2022, found that out of 8,720 pieces of content sent to high-profile women, 6.5 percent contained misogyny, image-based sexual abuse, hatred, or graphic content. Overall, the participants of the study were most likely to receive abuse via video content, with over 17 percent of the direct messages examined containing violating content in this format. Additionally, 14.1 percent of violating content was send in audio form.

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