This dataset is from a survey conducted in 2019 on social media and digital literacies in undergraduate learning. Data was collected using Survey Monkey and primary analysis was conducted using SPSS. The dataset accompanies our article published in the International Journal of Educational Technology in Higher Education in May 2023, available at https://doi.org/10.1186/s41239-023-00398-2.

During a January 2024 global survey among marketers, nearly 60 percent reported plans to increase their organic use of YouTube for marketing purposes in the following 12 months. LinkedIn and Instagram followed, respectively mentioned by 57 and 56 percent of the respondents intending to use them more. According to the same survey, Facebook was the most important social media platform for marketers worldwide.

1) Data Introduction • The Social Media Usage Dataset(Applications) features patterns and activity indicators that 1,000 users use seven major social media platforms, including Facebook, Instagram, and Twitter.

2) Data Utilization (1) Social Media Usage Dataset(Applications) has characteristics that: • This dataset provides different social media activity data for each user, including daily usage time, number of posts, number of likes received, and number of new followers. (2) Social Media Usage Dataset(Applications) can be used to: • Analysis of User Participation by Platform: You can analyze participation and popular trends by platform by comparing usage time and activity for each social media. • Establish marketing strategy: Based on user activity data, it can be used for targeted marketing, content production, and user retention strategies.

How much time do people spend on social media? As of 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

Data collected from social media, sentiments analysis, and survey results.

Data from a survey of 35 students in a Norwegian high school class (mostly 17-year-olds) on 1 June 2016, by Jill Walker Rettberg, Professor of Digital Culture, University of Bergen. See http://jilltxt.net/?p=4505 for details.I gathered this data for a project on Snapchat narratives. I want to understand how stories are told on Snapchat. My main method is textual analysis, and this data is simply intended to give me a better idea of whether users actually watch Live stories and other stories, and whether they make them - and to give me some ideas for where to dig deeper as I continue researching stories. I plan to visit more high schools to get more responses, but since Snapchat's interface changed in 2016, the results won't be directly comparable.Importantly, this data was collected BEFORE the update in mid-June that made Live Stories and Discover channels look the same. I assume the numbers will change with this interface change.They survey was conducted in Norwegian. One of the images in the fileset shows the survey as administered. The other image shows a translation into English. I have translated the comments as directly as possible before transcribing them into the spreadsheet. The image of a filled out survey is a translation of the Norwegian survey the students actually filled out. The original Google spreadsheet is at https://docs.google.com/spreadsheets/d/13Z4ZdeoHAeI9zYqNw6Oa7Qs64g3873dAYZTcCWH1tyo/edit#gid=1943894532.

According to a survey released in May 2023, B2B marketers considered Facebook the social media channel with the highest return on investment (ROI). The platform was mentioned by 22 percent of respondents. Instagram, TikTok and YouTube tied in second, each cited by 16 percent of the respondents.

There is interest in using social media content to supplement or even substitute for survey data. O’Connor et al. (2010) report reasonably high correlations between the sentiment of tweets containing the word “jobs” and survey-based measures of consumer confidence in 2008-2009. Other researchers report a similar relationship through 2011 but after that time it is no longer observed, suggesting such tweets may not be as promising an alternative to survey responses as originally hoped. But, it’s possible that with the right analytic techniques, the sentiment of “jobs” tweets might still be an acceptable alternative. We explore this possibility by attempting to strengthen the original relationship and then extending the most successful approaches to more recent years. We classify “jobs” tweets into categories whose content is related to employment and categories whose content is not, to see if sentiment of the former correlates more highly with a survey-based measure of consumer sentiment. We use five sentiment-scoring tools, calculate daily sentiment three different ways, and use a measure of association less sensitive to outliers than correlation. None of these approaches improved the size of the relationship in the original or more recent data. We discuss the possibility that weighting and better understanding why users tweet might help recover the original relationship between the sentiment of tweets and survey responses. However, despite the earlier promise of tweets as an alternative to survey responses, we find no evidence that the original relationship was more than a chance occurrence.

The report provides a snapshot of the social media usage trends amongst online Canadian adults based on an online survey of 1500 participants. Canada continues to be one of the most connected countries in the world. An overwhelming majority of online Canadian adults (94%) have an account on at least one social media platform. However, the 2022 survey results show that the COVID-19 pandemic has ushered in some changes in how and where Canadians are spending their time on social media. Dominant platforms such as Facebook, messaging apps and YouTube are still on top but are losing ground to newer platforms such as TikTok and more niche platforms such as Reddit and Twitch.

Survey data collected in Canada, 2019. n = 1539. Using, Age, Facebook use and meme understanding to determine differences between demographics in relation to Instagram use

Youth is becoming the centre of attention among political debate in East and South Asia. The present study examined the role of youth in shaping the political structure and their political participation through social media. The public sphere is considered as an integral part of democracy; a social space in which citizens are able to engage in political activities pertinent to the public interest. However, nowadays it has become common among the public to discuss political matters in public places. This quantitative study is limited to Pakistan and Indonesia. The data were collected through a semi-structured interview schedule and a sample of 400 respondents was chosen for the purpose. The finding of this study suggests that youth has a significant role in political structure, they are frequently discussing political matters on the social media to sensitize the public and role of youth has changed the political scenario of both countries.

During a 2025 survey, ** percent of respondents from Nigeria stated that they used social media as a source of news. In comparison, just ** percent of Japanese respondents said the same. Large portions of social media users around the world admit that they do not trust social platforms either as media sources or as a way to get news, and yet they continue to access such networks on a daily basis. Social media: trust and consumption Despite the majority of adults surveyed in each country reporting that they used social networks to keep up to date with news and current affairs, a 2018 study showed that social media is the least trusted news source in the world. Less than ** percent of adults in Europe considered social networks to be trustworthy in this respect, yet more than ** percent of adults in Portugal, Poland, Romania, Hungary, Bulgaria, Slovakia and Croatia said that they got their news on social media. What is clear is that we live in an era where social media is such an enormous part of daily life that consumers will still use it in spite of their doubts or reservations. Concerns about fake news and propaganda on social media have not stopped billions of users accessing their favorite networks on a daily basis. Most Millennials in the United States use social media for news every day, and younger consumers in European countries are much more likely to use social networks for national political news than their older peers. Like it or not, reading news on social is fast becoming the norm for younger generations, and this form of news consumption will likely increase further regardless of whether consumers fully trust their chosen network or not.

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

One of the sectors that felt the impact of the Corona Virus Disease 2019 (COVID-19) pandemic was the educational sector. The outbreak led to the immediate closure of schools at all levels thereby sending billions of students away from their various institutions of learning. However, the shut down of academic institutions was not a total one as some institutions that were solely running online programmes were not affected. Those who were running face to face and online modes quickly switched over to the online mode. Unfortunately, institutions that have not fully embraced online mode of study were greatly affected. 85% of academic institutions in Nigeria are operating face to face mode of study, therefore, majority of Nigerian students at all levels were affected by the COVID-19 lockdown. Social media platforms and emerging technologies were the major backbones of institutions that are running online mode of study, therefore, this survey uses the unified theory of acceptance and use of technology (UTAUT) model to capture selected Face to face Nigerian University students accessibility, usage, intention and willingness to use these social media platforms and emerging technologies for learning. The challenges that could mar the usage of these technologies were also revealed. Eight hundred and fifty undergraduate students participated in the survey.

The dataset includes the questionnaire used to retrieve the data, the responses obtained in spreadsheet format, the charts generated from the responses received, the Statistical Package of the Social Sciences (SPSS) file and the descriptive statistics for all the variables captured. This second version contains the reliability statistics of the UTAUT variables using Cronbach's alpha. This measured the reliability as well as the internal consistency of the UTAUT variables. This was measured in terms of the reliability statistics, inter-item correlation matrix and item-total statistics. Authors believed that the dataset will enhance understanding of how face to face students use social media platforms and how these platforms could be used to engage the students outside their classroom activities. Also, the dataset exposes how familiar face to face University students are to these emerging teaching and learning technologies.

Materials relating to a workshop I led in the Division of Rehabilitation and Ageing at the University of Nottingham in October 2014. I first sent out a survey to gauge knowledge and interest, the data from which are available here.

This document is part of the PROMISE project (2017-2019) financed by the Belgian Science Policy Office (Belspo) as part of the BRAIN.be programme and is coordinated by KBR. The State Archives, the universities of Ghent (Research Group for Media, Innovation and Communication Technologies; Ghent Centre for Digital Humanities) and Namur (Research Centre in Information, Law and Society) and the university college Bruxelles-Brabant (Unité de Recherche et de Formation en Sciences de l’Information et de la Documentation) are partners in the project. In the scope of this project, a state-of-the-art report was written based on interviews via mail and Skype with several organizations from different countries. The information in this spreadsheet is a summary of the data collected during this task. A list of all the organisations involved can be found in tab "Annex - List of countries and organizations". In 2020, a new project called BESOCIAL (towards a sustainable social media archiving strategy for Belgium) started in which an updated state-of-the-art report will be written with a focus on archiving social media. Again, the different organizations are surveyed and the data in this spreadsheet is being updated and enhanced.

** percent of Australian respondents answer our survey on "Most used social media platforms by type" with "Social networks (e.g., Facebook)". The survey was conducted in 2023, among ****** consumers.Find this and more survey data on most used social media platforms by type in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.

Data from online survey among authors of the social sciences using social media data for their research and having published journal articles based on social media data between 2018 and 2021. The questionnaire consists of several closed and open-ended questions in seven main sections: a) data acquisition and use of secondary data, b) past data sharing behaviour, c) data sharing intentions, d) data documentation, e) use of other forms of data, f) personality and g) demography. The questions to measure factors that influence researchers’ data sharing decisions were designed using the Theory of Planned Behavior (Icek Ajzen). Vollerhebung Web-basiertes Interview

The goal of this study is to measure willingness to participate in passive mobile data collection among German smartphone owners. The data come from a two-wave web survey among German smartphone users 18 years and older who were recruited from a German nonprobability online panel. In December 2016, 2,623 participants completed the Wave 1 questionnaire on smartphone use and skills, privacy and security concerns, and general attitudes towards survey research and research institutions. In January 2017, all respondents from Wave 1 were invited to participate in a second web survey which included vignettes that varied the levels of several dimensions of a hypothetical study using passive mobile data collection, and respondents were asked to rate their willingness to participate in such a study. A total of 1,957 respondents completed the Wave 2 questionnaire.

Wave 1

Topics: Ownership of smartphone, mobile phone, PC, tablet, and/or e-book reader; type of smartphone; frequency of smartphone use; smartphone activities (browsing, e-mails, taking photos, view/ post social media content, shopping, online banking, installing apps, using GPS-enabled apps, connecting via Bluethooth, play games, stream music/ videos); self-assessment of smartphone skills; attitude towards surveys and participaton at research studies (personal interest, waste of time, sales pitch, interesting experience, useful); trust in institutions regarding data privacy (market research companies, university researchers, statistical office, mobile service provider, app companies, credit card companies, online retailer, and social networks); concerns regarding the disclosure of personal data by the aforementioned institutions; general privacy concern; privacy violated by banks/ credit card companies, tax authorities, government agencies, market research companies, social networks, apps, internet browsers); concern regarding data security with smartphone activities for research (online survey, survey apps, research apps, SMS survey, camera, activity data, GPS location, Bluetooth); number of online surveys in which the respondent has participated in the last 30 days; Panel memberships other than that of mingle; previous participation in a study with downloading a research app to the smartphone (passive mobile data collection).

Wave 2

Topics: Willingness to participate in passive mobile data collection (using eight vignettes with different scenarios that varied the levels of several dimensions of a hypothetical study using passive mobile data collection. The research app collects the following data for research purposes: technical characteristics of the smartphone (e.g. phone brand, screen size), the currently used telephone network (e.g. signal strength), the current location (every 5 minutes), which apps are used and which websites are visited, number of incoming and outgoing calls and SMS messages on the smartphone); reason why the respondent wouldn´t (respectively would) participate in the research study used in the first scenario (open answer); recognition of differences between the eight scenarios; kind of recognized difference (open answer); remembered data the research app collects (recall); previous invitation for research app download; research app download.

Demography: sex; age; federal state; highest level of school education; highest level of vocational qualification.

Additionally coded was: running number; respondent ID; duration (response time in seconds); device type used to fill out the questionnaire; vignette text; vignette intro time; vignette time.

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