Dataset Details

This dataset contains a rich collection of popular slang terms and acronyms used primarily by Generation Z. It includes detailed descriptions of each term, its context of use, and practical examples that demonstrate how the slang is used in real-life conversations. The dataset is designed to capture the unique and evolving language patterns of GenZ, reflecting their communication style in digital spaces such as social media, text messaging, and online forums. Each… See the full description on the dataset page: https://huggingface.co/datasets/MLBtrio/genz-slang-dataset.

This dataset includes 20 identified challenges employers face with Gen Z workers, categorized by behavioral trends, workplace expectations, and communication gaps.

This dataset contains the results of a survey conducted via Google Forms to assess Generation Z’s understanding, environmental awareness, and social action related to waste management during the Eid al-Fitr holiday season. The survey included an infographic guide as a stimulus to evaluate how visual media supports behavioral change and sustainability education among youth. The dataset also contains the result that had been transcribed from an interview with carbon expert.

The dataset, exported from Google Forms in XLSX format, includes respondents’ demographic information, their interpretation of the infographic content, their level of environmental awareness, and their reported or intended waste management practices during the holiday. The dataset from interviews with carbon expert, exported in DOCX format.

This dataset is valuable for researchers in environmental education, youth studies, sustainability communication, and behavioral change research.

Format: XLSX (exported from Google Forms)
Number of Respondents: 6
Language: Indonesia
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Data Collection Method: Online survey using Google Forms
Data Collection Period: 4 April 2025

The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.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).

This dataset contains the results of a survey conducted via Google Forms to assess Generation Z’s understanding, environmental awareness, and social action related to waste management during the Eid al-Fitr holiday season. The survey included an infographic guide as a stimulus to evaluate how visual media supports behavioral change and sustainability education among youth.

The dataset, exported from Google Forms in XLSX format, includes respondents’ demographic information, their interpretation of the infographic content, their level of environmental awareness, and their reported or intended waste management practices during the holiday.

This dataset is valuable for researchers in environmental education, youth studies, sustainability communication, and behavioral change research.

Format: XLSX (exported from Google Forms)
Number of Respondents: 6
Language: Indonesian
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Data Collection Method: Online survey using Google Forms
Data Collection Period: 4 April 2025

This dataset contains audio recordings of 12 different accents across the UK: Northern Ireland, Scotland, Wales, North East England, North West England, Yorkshire and Humber, East Midlands, West Midlands, East of England, Greater London, South East England, South West England. We split the data into a Male: Female ratio of 1:1. The audio dataset was compiled using opensource YouTube videos and it a collation of different accents, the audio files were trimmed for uniformity. The Audio files are of length 30 seconds, with the first 5 seconds and last 5 seconds of the signal being blank. We also resample the audio signals at 8 kHz, again for uniformity and to remove any noise present in the audio signals whilst retaining the underlying characteristics. The intended application of this dataset was to be used in conjunction with a deep neural network for accent and gender classification tasks.

This dataset was recorded for an experimentation looking into applying machine learning techniques for the task of classifying song preference amongst generation Z (18 to 24 years) participants. We define a labelling system corresponding to specific songs with 5 ratings: hate, dislike, neutral, like and love. The songs used for this experiment were chosen due their success for various awards, such as the BRIT awards (BRIT), Mercury Prize (MERC), Rolling Stone most influential albums (ROLS). They are as shown:

S1: One Kiss by Calvin Harris and Dua Lipa (BRIT)


S2: Don't Delete the Kisses by Wolf Alice MERC)


S3: Money by Pink Floyd (ROLS)


S4: Shotgun by George Ezra (BRIT)


S5: Location by Dave (MERC)


S6: Smells Like Teen Spirit by Nirvana (ROLS)


S7: God's Plan by Drake (BRIT)


S8: Breezeblocks by alt-J (MERC)


S9: Lucy In The Sky With Diamonds by The Beatles (ROLS)


S10: Thank U, Next by Ariana Grande (BRIT)


S11: Shutdown by Skepta (MERC)


S12: Billie Jean by Micheal Jackson (ROLS)

A Unicorn Hybrid Black was used for recording the EEG data from the participants whilst they were played the control songs listed above. For each of the 12 total song played to a participant during the experiment, there were 8 EEG lead recordings measured of length 20 seconds, with the first 5 seconds and the last 5 seconds being blank for control purposes. The EEG signals were sampled at 250 Hz by the Unicorn Hybrid Black devices, which also filtered the signals to be between 2Hz to 30 Hz in order to remove any noise recorded during the experimentation. There are approximately 5000 data points per reading of a given song, with there being 12 songs played to a total of 10 participants.

How many people use social media?

              Social media usage is one of the most popular online activities. In 2024, over five billion people were using social media worldwide, a number projected to increase to over six billion in 2028.

              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 59 percent. This figure is anticipated to grow as lesser 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. Mobile-first market 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 151 minutes per day on social media and messaging apps, an increase of 40 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 one billion registered accounts and currently boasts approximately 2.9 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.

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.

The number of LinkedIn users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 1.5 million users (+4.51 percent). After the eighth consecutive increasing year, the LinkedIn user base is estimated to reach 34.7 million users and therefore a new peak in 2028. User figures, shown here with regards to the platform LinkedIn, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.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).

Total number of young adults aged 15 to 34 years and total number of young adults aged 20 to 34 years in the UK living with their parents.

This dataset is a rich collection of handwritten Sindhi alphabet images, carefully curated to capture a diverse range of writing styles. The dataset includes samples from multiple generations, including Gen X, Millennials, Gen Z, and Gen Alpha, ensuring a broad representation of handwriting variations. Additionally, it encompasses contributions from individuals of different genders and varying levels of handwriting proficiency, making it highly valuable for research in handwriting recognition and computer vision.

This dataset is ideal for training machine learning models on tasks such as:
- Optical Character Recognition (OCR) for Sindhi script
- Handwriting style analysis across generations
- Character classification and dataset augmentation experiments
- Computer vision research involving regional scripts

Dataset Details:

• Total Sindhi Letters: 52
• Images per Letter: 58
• Total Images: 3016
• Format: JPG
• Diversity Factors:
  • Generations Covered: Gen X, Millennials, Gen Z, Gen Alpha
  • Gender Representation: Male and Female contributors
  • Writing Styles: Includes cursive, bold, thin, and uneven strokes

Dataset Structure:

The dataset is structured into 52 folders, each representing a unique Sindhi letter. Each folder contains 31 handwritten samples of that letter, captured from various contributors.

Usage & Applications:

This dataset can be used by researchers, educators, and developers working on:
- Handwriting Recognition Models
- AI-powered OCR for Sindhi Language
- Multi-generational Handwriting Studies
- Sindhi Language Digitization & Preservation

License & Attribution

This dataset is publicly available under the CC BY 4.0 License, meaning you can use it freely with proper attribution.

This dataset was created through the combined efforts of multiple contributors who provided handwritten samples.

• Mudasir Murtaza
• Farhad Ali

This dataset is now open-source and we encourage researchers, developers, and students to use this dataset for AI projects and Sindhi handwriting recognition models!

The global social media penetration rate in was forecast to continuously increase between 2024 and 2028 by in total 11.6 (+18.19 percent). After the ninth consecutive increasing year, the penetration rate is estimated to reach 75.31 and therefore a new peak in 2028. Notably, the social media penetration rate of was continuously increasing over the past years.

Facebook received 73,390 user data requests from federal agencies and courts in the United States during the second half of 2023. The social network produced some user data in 88.84 percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.

Annual population estimates by marital status or legal marital status, age and sex, Canada, provinces and territories.

The number of Instagram users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 2.1 million users (+7.02 percent). After the ninth consecutive increasing year, the Instagram user base is estimated to reach 32 million users and therefore a new peak in 2028. Notably, the number of Instagram users of was continuously increasing over the past years.User figures, shown here with regards to the platform instagram, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.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).

This data was collected as part of the Reimagining the Future in Older Age project. The aim of this exploratory, qualitative and create project was to develop social understandings of the relationship between future time and older age within an economically-advantaged, minority-world context. The objectives were to 1) add to sociological knowledge of how the relationship between older age and future time is socially constructed; 2) contribute to sociological knowledge concerning how older people perceive and narrate the future; 3) contribute new knowledge to existing sociological understandings of the future in older age by using utopian, arts-based methods; 4) provide suggestions on what would be the features of a society in which having a desirable future in older age is valued; 5) elicit ‘counter narratives’ of the future in older age from members of the public who identify as older, by using participatory forum theatre.In June 2016 after the UK had voted to leave the European Union, the UK press published several articles on how older leave voters had 'stolen the futures' of younger remain voters. The Times columnist Giles Coren wrote that 'The wrinkly bastards stitched us young 'uns up good and proper... they reached out with their wizened old writing hands to make their wobbly crosses and screwed their children and their children's children for a thousand generations' (Coren 2016: 28). In The Guardian, Rhiannon Lucy Cosslett wrote that 'unless our scientists somehow miraculously discover how to halt the ageing process ... within 10 years, many of those who voted for Brexit will either be dead or in care homes that millennials will be subsidising' (Cosslett 2016). What was striking about these articles was, firstly, the assumption that older people have no stake in the future. Secondly, the apparent inability of people who did not consider themselves to be 'old' to imagine a future in which they would be old. So why do we assume that the future matters less to older people, and why should we be concerned about this? How does the future matter to older people? This project addresses these questions and challenges dominant, ageist assumptions that older people do not belong in the future. The undervaluing of older people's futures is revealed in political and media narratives where the future time of older people is collectivised, such that the sum of potential years left to be lived in older age is represented as a 'problem' to be addressed, and where older people's futures are predominantly regarded in terms of 'cost rather than potential' (Cruikshank 2003: 7). Cultural narratives of older people are similarly pessimistic, with older characters typically being 'stuck in the past' (Small 2007). We use cultural narratives as resources to inform our own ideas about what kind of people we think we are, or who we would like to be. In the absence of positive cultural narratives about the future in older age, how can we construct meaningful futures in our own lives? As most of us can expect to live into old age, it is in all our interests to have a sense of belonging in the future. Not recognising the value of older people's futures can perpetuate ageist practices and elder abuse, and failing to attach value to our own futures as older people could result in apathy. This project gives a voice to older people and allows them to tell their own stories about what the future means to them. The research is designed to elicit intra and intergenerational connection. The reading groups can foster intergenerational solidarity, and the participatory forum theatre asks older participants to create shared futures. In doing so, it will provide policy makers and third sector organisations with the resources to think more imaginatively about supporting older people in ways that will address their aspirations rather than just their needs. The project findings will also contribute empirical, theoretical and methodological knowledge to understanding the relationship between future time and older age, an area which is under-developed. The project has three stages. The first aims to understand existing narratives of future time in older age by conducting an interdisciplinary literature review of the relationship between old age and future time, and secondary analysis of narratives concerning time and age that were elicited through the Mass Observation (MO) project. The second aims to deconstruct narratives of future time and older age by asking intergenerational reading groups to explore how fictional representations of old age and future time can be used to imagine a society in which older people's futures are more valued. The third will create narratives of future time and older age by using forum theatre to allow older volunteers to create and perform their own 'narratives of the future'. The project involved three stages, each using a different method. Stage 1 analysed diary entries from the Mass Observation Project's directive on Time from 1988. We analysed diary entries from 'Observers' aged 60+ at the time of writing. These diary entries are publicly available via the Mass Observation Archive and are not included in this data collection. Stage 2 involved 'intergenerational reading groups'. Adults 18+ who lived in Scotland were invited to take part in online reading groups in which they were asked to read a novel depicting project themes of ageing, time, the future and intergenerational relationships, and discuss them with other participants. Participants were also invited to write diary entries reflecting on the novels and the project themes. 28 participants were recruited to 4 reading groups, each of which met 5 times apart from 1 group which met 4 times. In the third stage we recruited people who lived in Scotland and who identified as an 'older adult' to participate in online Forum Theatre workshops. Working with project partners Active Inquiry, participants used Forum Theatre to explore the relationship between ageing and the future, and created and performed short Forum Theatre pieces on these themes.

The number of Pinterest users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 0.3 million users (+3.14 percent). After the ninth consecutive increasing year, the Pinterest user base is estimated to reach 9.88 million users and therefore a new peak in 2028. Notably, the number of Pinterest users of was continuously increasing over the past years.User figures, shown here regarding the platform pinterest, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.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).

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

During a 2024 survey, 77 percent of respondents from Nigeria stated that they used social media as a source of news. In comparison, just 23 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 35 percent of adults in Europe considered social networks to be trustworthy in this respect, yet more than 50 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.

Beauty and wellness are terms used often in common parlance, however their meaning and relation to each other is unclear. To probe their meaning, we applied network science methods to estimate and compare the semantic networks associated with beauty and wellness in different age generation cohorts (Generation Z, Millennials, Generation X, and Baby Boomers) and in women and men. These mappings were achieved by estimating group-based semantic networks from free association responses to a list of 47 words, either related to Beauty, Wellness, or Beauty + Wellness. Beauty was consistently related to Elegance, Feminine, Gorgeous, Lovely, Sexy, and Stylish. Wellness was consistently related Aerobics, Fitness, Health, Holistic, Lifestyle, Medical, Nutrition, and Thrive. In addition, older cohorts had semantic networks that were less connected and more segregated from each other. Finally, we found that women compared to men had more segregated and organized concepts of Beauty and Wellness. In contemporary societies that are pre-occupied by the pursuit of beauty and a healthy lifestyle, our findings shed novel light on how people think about beauty and wellness and how they are related across different age generations and by sex.