http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
This dataset contains information about users for a social media friend recommendation project. It includes fields such as UserID, Name, Gender, Date of Birth (DOB), Interests, City, and Country. The dataset aims to capture diverse user profiles and their characteristics in terms of personal information, interests, and geographical locations.
This dataset was created by Sunita nakum
How much time do people spend on social media? As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.
Market leader Facebook was the first social network to surpass one billion registered accounts and currently sits at more than three billion monthly active users. Meta Platforms owns four of the biggest social media platforms, all with one billion monthly active users each: Facebook (core platform), WhatsApp, Facebook Messenger, and Instagram. In the third quarter of 2023, Facebook reported around four billion monthly core Family product users.
The United States and China account for the most high-profile social platforms Most top ranked social networks with more than 100 million users originated in the United States, but services like Chinese social networks WeChat, QQ or video sharing app Douyin have also garnered mainstream appeal in their respective regions due to local context and content. Douyin’s popularity has led to the platform releasing an international version of its network: a little app called TikTok.
How many people use social media?
The leading social networks are usually available in multiple languages and enable users to connect with friends or people across geographical, political, or economic borders. In 2022, Social networking sites are estimated to reach 3.96 billion users and these figures are still expected to grow as mobile device usage and mobile social networks increasingly gain traction in previously underserved markets.
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Report Metric |
Details |
Forecast Period |
2024-2031 |
Base Year |
2023 |
Historic Years |
2022 (Customizable to 2016-2021) |
Quantitative Units |
Revenue in USD Billion, Volumes in Units, Pricing in USD |
Segments Covered |
Type (Software Services, and Mode), Deployment Model (On-premises, and Cloud), Organization Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), Analytical Type (Predictive, Prescriptive, Diagnostic, and Descriptive), Application (Sales and Marketing Management, Customer Experience Management, Competitive Intelligence, Risk Management and Fraud Detection, Public Safety and Law Enforcement, and Others), Industry Vertical (Banking, Financial Services and Insurance (BFSI), Telecommunications and Information Technology (IT), Retail and E-commerce, Healthcare and Life Sciences, Media and Entertainment, Government and Defense, Travel and Hospitality, and Others) |
Countries Covered |
U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E., Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America |
Market Players Covered |
Orcale (U.S.), IBM (U.S.), SAS Institute Inc. (U.S.), Salesforce, Inc. (U.S.), Adobe (U.S.), Cision US Inc. (U.S.), GoodData Corporation (U.S.), Simplify360 Inc. (India), Quid. (U.S.), Qualtrics (U.S.), Talkwalker(U.S.), Brandwatch (U.K.), Digimind (France) |
Market Opportunities |
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https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/
Social Media Report OverviewSocial media companies are diversifying away from their ad-funded business model due to increased regulatory scrutiny. In 2023 alone, some leading players have been fined for breaching d Read More
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The diffusion of social media coincided with a worsening of mental health conditions among adolescents and young adults in the United States, giving rise to speculation that social media might be detrimental to mental health. In this paper, we provide quasi-experimental estimates of the impact of social media on mental health by leveraging a unique natural experiment: the staggered introduction of Facebook across U.S. colleges. Our analysis couples data on student mental health around the years of Facebook's expansion with a generalized difference-in-differences empirical strategy. We find that the roll-out of Facebook at a college increased symptoms of poor mental health, especially depression. We also find that, among students predicted to be most susceptible to mental illness, the introduction of Facebook led to increased utilization of mental healthcare services. Lastly, we find that, after the introduction of Facebook, students were more likely to report experiencing impairments to academic performance resulting from poor mental health. Additional evidence on mechanisms suggests that the results are due to Facebook fostering unfavorable social comparisons.
Contributors looked at over 10,000 tweets culled with a variety of searches like "ablaze", "quarantine", and "pandemonium", then noted whether the tweet referred to a disaster event (as opposed to a joke with the word or a movie review or something non-disastrous). Added: September 4, 2015 by CrowdFlower | Data Rows: 10877 Download Now
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.See the Github repository for details:https://github.com/sTechLab/Visual-Near-Duplicates-Detection-in-the-Context-of-Social-MediaSee the associated paper on arXiv:https://arxiv.org/abs/2203.07167
https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy
It is estimated that 19% of workers state that they use Facebook social media platforms for work. Comparatively, 14% of professionals say that they use LinkedIn social networking sites for work, 9% of employees state that they use social media tools offered by their business, and 3% of people use Twitter social media for professional purposes.
A social media policy guarantees that a company's brand image is safeguarded and sets clear expectations for personnel.
http://www.enterpriseappstoday.com/wp-content/uploads/2022/08/1cWM3-social-media-at-work-policies-in-the-us.png" alt="social-media-at-work-policies-in-the-us" width="1452" height="1004"> (Source: Zippia.com)
The data from my thesis. This data was collected using the Lifeguide Software and exported onto SPSS following data collection. The data was collected from young people aged 11-18 years old to explore the impact of different types of social media use.
Connect with the City of Austin. Find out the latest information about Austin initiatives, opportunities and fun things to do in the Live Music Capital of the World. Like or follow City social media to get updates from the City directly in your timeline.
Microsoft Research Social Media Conversation Corpus consists of 127M context-message-response triples from the Twitter FireHose, covering the 3-month period June 2012 through August 2012. Only those triples where context and response were generated by the same user were extracted. To minimize noise, only triples that contained at least one frequent bigram that appeared more than 3 times in the corpus was selected. This produced a corpus of 29M Twitter triples.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Aim: Examine the degree of association between single self-estimate social media use, the problematic use of social networking scale and objective mobile social media use in a sample of both Android and iPhone users.
Variable Description Variable Name (w) = variable winzorised Gender (Female = 1, Male = 2, not specified = 3) Android v iPhone (iPhone user = 1, Android user = 2) SR_SM_use_minutesweek = self-report single-estimate of weekly mobile social media use ("On average, how many hours a week do you think you spend viewing social media on your phone?") PUSNS_# = problematic use of social networking scale item # PUSNS = problematic use of social networking scale total TST = total mobile screen time over last 7 days Facebook = total mobile Facebook use over last 7 days Instagram = total mobile Instagram use over last 7 days Snapchat = total mobile Snapchat use over last 7 days Twitter = total mobile Twitter use over last 7 days TikTok = total mobile TikTok use over last 7 days SMU = objective mobile social media use (Facebook, Instagram, Snapchat, Twitter, TikTok) over last 7 days PickUps = total smartphone pick-ups over last 7 days
Bright Data’s datasets provide a cost-effective way to quickly receive public web data at scale, enabling you to quickly and easily uncover business-critical insights.
Create your own dataset by applying various filters on the full dataset, such as: - of followers - profile type - account type - engagement score - categories - location - external links - hashtags - brand affiliation - biography - highlights - posts and more.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is connected to the following journal article:
Pasquini, L. A., & Evangelopoulos, N. (2016). Sociotechnical stewardship in higher education: A field study of social media policy documents. Journal of Computing in Higher Education.
To prepare this database for publication, this corpus was reviewed to determine if document items (URLs, PDF, or Word documents) shared online were the same, updated, or removed. This dataset now presents readers with the direct link to the specific higher education institution social media policy document, if it was still available or updated at the time of publication.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
The number of social media users in the United States was forecast to continuously increase between 2024 and 2029 by in total 22 million users (+6.86 percent). After the ninth consecutive increasing year, the social media user base is estimated to reach 342.6 million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).
Does new media promote accountability in nondemocratic countries, where offline media is often suppressed? We show that blog posts, which exposed corruption in Russian state-controlled companies, had a negative causal impact on their market returns. For identification, we exploit the precise timing of blog posts by looking at within-day results with company-day fixed effects. Furthermore, we show that the posts are ultimately associated with higher management turnover and less minority shareholder conflicts. Taken together, our results suggest that social media can discipline corruption even in a country with limited political competition and heavily censored traditional media.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The diffusion of social media coincided with a worsening of mental health conditions among adolescents and young adults in the United States, giving rise to speculation that social media might be detrimental to mental health. In this paper, we provide quasi-experimental estimates of the impact of social media on mental health by leveraging a unique natural experiment: the staggered introduction of Facebook across U.S. colleges. Our analysis couples data on student mental health around the years of Facebook's expansion with a generalized difference-in-differences empirical strategy. We find that the roll-out of Facebook at a college increased symptoms of poor mental health, especially depression. We also find that, among students predicted to be most susceptible to mental illness, the introduction of Facebook led to increased utilization of mental healthcare services. Lastly, we find that, after the introduction of Facebook, students were more likely to report experiencing impairments to academic performance resulting from poor mental health. Additional evidence on mechanisms suggests that the results are due to Facebook fostering unfavorable social comparisons.