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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
These two datasets provide the responses to a survey on food including what influences decisions on what people choose to eat, and what is important to people when selecting food for example price, animal welfare, origin of food. Knowledge of the food system Use of technology when purchasing food and key concerns about food. The total sample includes all age groups 16+ and has a sample size of 2475. The Gen Z sample is of generation Z only 16- 25 year olds and has a sample size of 619.
https://www.culturemonkey.io/termshttps://www.culturemonkey.io/terms
This dataset includes 20 identified challenges employers face with Gen Z workers, categorized by behavioral trends, workplace expectations, and communication gaps.
Demographic and PII data (including emails, phone numbers, and addresses) for the US Millennial and Gen Z population segments. Fully opt-in and CCPA compliant (direct submission from the individuals). 30 million+ population.
High success and conversion rates for direct marketing, targeted ads, identity verification, and demographic research.
This data can be merged into the BIGDBM Consumer dataset or have specific data fields appended from the BIGDBM Consumer dataset.
BIGDBM Privacy Policy: https://bigdbm.com/privacy.html
This is a survey of over 3,000 young Londoners that was completed in June 2020 in partnership with the Museum of London. This focuses on the key issues and concerns affecting young people aged between 16-24 and reviews the challenges they face and what needs to happen to help young people thrive across the capital. This dataset is being reviewed. The data will be made available again soon.
On behalf of the Press and Information Office of the Federal Government, the opinion research institute Kantar conducted a target group survey of the ´Generation Z´. For this purpose, 1,022 people between the ages of 14 and 24 were surveyed online between 05 and 18 July 2021. The focus of the survey was on the values and orientation of the generation, their situation in the pandemic, political interest and information behaviour as well as political and social attitudes. In order to map the influence of the corona pandemic on the attitudes and social image of Generation Z, the results of this survey were compared with a survey from 2019. Current life circumstances: life satisfaction; highest school-leaving qualification of father and mother; material situation: frequency of renunciation for financial reasons; source of money (from own work, from parents, from state support, from elsewhere); primary source of money; negative effects of the Corona crisis on personal income; organisation of distance learning (communication via a digital learning platform, via video conference, via e-mail, via messenger/chats such as e.g. WhatsApp, via a cloud, by telephone, by post or by other means); agreement with statements on the situation in schools/colleges (I was able to concentrate well on my tasks at home, I missed direct contact with my classmates/ fellow students, my grades deteriorated during the pandemic, distance learning at my school/college worked well, I had insufficient equipment to follow lessons, the accessibility of teachers was very good even in times of distance learning, learning became more strenuous for me during the pandemic); opinion on the future recognition of school, university or professional degrees made during the Corona pandemic; leisure activities during the pandemic (less sport since the beginning of the pandemic than before, relationships with friends have deteriorated during the pandemic, significantly more time on the internet since the beginning of the pandemic than before, started a new hobby during the pandemic); vaccination status; likelihood of Corona vaccination. 2. Values and attitudes: personally most important life goals (e.g. self-discovery, independence, enjoying life, career, etc.); importance of various aspects for pursuing a profession (secure job, adequate income, interesting work that is fun, compatibility of private life and profession (work-life balance), career opportunities, responsibility, opportunities for further training and development); comparison of values : comparison of values Corona: extensive collection of data for infection protection vs. data protection, especially young vs. especially old people have suffered from the pandemic, pandemic as a chance for change vs. after the pandemic back to the usual normality, comparison of values State: debts in favour of education and infrastructure not a problem vs. always a burden for future generations, active role of the state for important future tasks such as climate protection and educational justice vs. leaving a passive role and shaping of the future to society and the economy, orienting politics towards future generations vs. protecting the interests of those who have already made a contribution to society, comparison of lifestyle values: conscious renunciation in favour of sustainability vs. doing what I feel like doing, doing without in favour of health vs. having fun in the foreground, self-realisation vs. putting aside one´s own needs in favour of one´s personal environment, today´s generation has completely different values than the generation before it vs. in principle very similar values as the generation before it). 3. Media and information: interest in politics; points of contact with politics in everyday life (e.g. media consumption, when using social networks, in personal conversations with friends and family, at work, at school or university, in public spaces, in leisure time/hobbies); being informed about politics; most frequently used sources of political information (media) (e.g. news programmes on TV, talk shows on TV, websites of public institutions and authorities, etc.). e.g. news programmes on TV, talk shows on TV, websites of public institutions and authorities, satire programmes on TV, etc.); change in political information behaviour in the Corona pandemic. 4. Politics and society: satisfaction with democracy; opinion on democracy as an idea; need for reform of politics in Germany; most important political problems in Germany (open); satisfaction with the work of the federal government; trust in institutions (judiciary, environmental and aid organisations such as Greenpeace or Amnesty International, public health authorities such as the Robert Koch Institute, federal government, Bundestag, police, churches, school/university); perception of social lines of conflict (between rich and poor, employers and employees, young and old, foreigners and Germans, East Germans and West Germans, women and men, people in the city and people in the countryside); attitudes towards Corona (politicians take young people´s concerns seriously, young people received sufficient financial support from the state during the pandemic, young people´s needs were not taken into account enough by politicians during the Corona pandemic, the Corona pandemic will affect my generation´s future opportunities in the long term, my generation will benefit significantly from the awakening after the Corona pandemic, the Corona crisis has changed my perspective on many things in life, young people´s career opportunities have deteriorated as a result of the pandemic); agreement with various statements on Corona vaccination (children and young people aged 12 and over should also be vaccinated against Corona, young people currently have to wait too long for a vaccination appointment, vaccination prioritisation should have been lifted earlier, vaccination of young people against Corona is not necessary, there should be compulsory vaccination for schoolchildren, I personally feel that Corona vaccinations in Germany are treated fairly); currently appropriate measures to support children and young people (open). 5. Future perspectives: assessment of personal future opportunities; assessment of the future opportunities of one´s own generation in Germany; future vision of politics: agreement with various statements (a council of randomly selected citizens should be created to draw up political recommendations for the federal government, voting in elections should be possible via app, the voting age in federal elections should be lowered to 16, the population should be represented in the Bundestag by means of quotas, the population should vote directly on important political issues by referendum). Demography: age; sex; federal state; current attendance at school, college or university; type of educational institution currently attended; highest level of education attained to date; employment; subjective class classification; housing situation; household size; party sympathies; migration background. Additionally coded was: serial number; city size; weighting factor. Im Auftrag des Presse- und Informationsamt der Bundesregierung hat das Meinungsforschungsinstitut Kantar eine Zielgruppenbefragung der „Generation Z“ durchgeführt. Dazu wurden im Zeitraum vom 05. – 18. Juli 2021 1.022 Personen zwischen 14 und 24 Jahren online befragt. Die Schwerpunkte der Befragung lagen auf den Werten und Orientierung der Generation, ihrer Situation in der Pandemie, dem politischen Interesse und Informationsverhalten sowie auf den politischen und gesellschaftlichen Einstellungen. Um den Einfluss der Coronapandemie auf die Einstellungen und das Gesellschaftsbild der Generation Z abzubilden, wurden die Ergebnisse dieser Befragung mit einer Befragung aus dem Jahr 2019 verglichen. Aktuelle Lebensumstände: Lebenszufriedenheit; höchster Schulabschluss von Vater und Mutter; materielle Situation: Häufigkeit des Verzichts aus finanziellen Gründen; Geldquelle (aus eigener Arbeit, von den Eltern, aus staatlicher Unterstützung, von woanders her); primäre Geldquelle; negative Auswirkungen der Corona-Krise auf das persönliche Einkommen; Organisation des Fernunterrichts (Kommunikation über eine digitale Lernplattform, per Videokonferenz, per E-Mail, per Messenger/Chats wie z.B. WhatsApp, über eine Cloud, per Telefon, per Post oder auf sonstige Weise); Zustimmung zu Aussagen zur Situation in Schulen/ an Hochschulen (ich konnte mich zu Hause gut auf meine Aufgaben konzentrieren, der direkte Kontakt zu meinen Mitschüler/innen/ Kommilitonen/innen hat mir gefehlt, meine Noten sind während der Pandemie schlechter geworden, der Fernunterricht an meiner Schule/ Hochschule hat gut funktioniert, ich hatte nur ungenügende Ausstattung zur Verfügung, um dem Unterricht folgen zu können, die Erreichbarkeit der Lehrkräfte war auch in Zeiten des Fernunterrichts sehr gut, das Lernen ist für mich während der Pandemie anstrengender geworden); Meinung zur künftigen Anerkennung von Schul-, Universitäts- oder Berufsabschlüssen, die während der Corona-Pandemie gemacht wurden; Freizeitgestaltung während der Pandemie (seit Beginn der Pandemie weniger Sport als davor, Beziehungen zu Freunden haben sich in der Pandemie verschlechtert, seit Beginn der Pandemie deutlich mehr Zeit im Internet als davor, in der Pandemie ein neues Hobby begonnen); Impfstatus; Wahrscheinlichkeit einer Corona-Impfung. 2. Werte und Einstellungen: persönlich wichtigste Lebensziele (z.B. Selbstfindung, Unabhängigkeit, Leben genießen, Karriere, etc.); Wichtigkeit verschiedener Aspekte für die Ausübung eines Berufs (sicherer Arbeitsplatz, angemessenes Einkommen, interessante Arbeit, die Spaß macht, Vereinbarkeit von Privatleben und Beruf (Work-Life-Balance), Karrieremöglichkeiten, Verantwortung, Weiterbildungs- und Entwicklungsmöglichkeiten); Gegenüberstellung von Werten :
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
This is a survey of over 3,000 young Londoners that was completed in June 2020 in partnership with the Museum of London. This focuses on the key issues and concerns affecting young people aged between 16-24 and reviews the challenges they face and what needs to happen to help young people thrive across the capital. This dataset is being reviewed. The data will be made available again soon.
**************** adults from Generation Z enjoyed watching or interacting with food content on social media in 2021. Social media platforms such as Instagram, TikTok, and Snapchat are an important source of food inspiration for Zoomers. Popular food content categories include sensory food, pantry organization, and Mukbang.
Members of Generation Z are coming into their own politically, socially, and culturally, bringing their values and viewpoints to their communities, and workplaces, and to our nation's political system. In addition to being the most racially and ethnically diverse generation in U.S. history, Gen Z adults also identify as LGBTQ at much higher rates than older Americans. Like Millennials, Gen Z are also less likely than older generations to affiliate with an established religion.
This Public Religion Research Institute "https://prri.org/research/generation-zs-views-on-generational-change-and-the-challenges-and-opportunities-ahead-a-political-and-cultural-glimpse-into-americas-future/" Target="_blank">survey considers what sets members of Generation Z apart from older generations in terms of: political and cultural values, faith in communities and political institutions, and views on religion and the importance of diversity and inclusion in the nation's democracy. The report is based on both the results of a national survey, which includes oversamples of Generation Z-both adults (ages 18-25) and teens (13-17)-and on an analysis of ten virtual focus groups that included a wide cross- section of Gen Z adults from across the United States.
Younger generations—specifically, millennials and Gen Z—increasingly turn to social media for personal finance purposes, such as making and receiving payments, crowdfunding, shopping, and financial education. While the financial tools provided by social media offer benefits, such as convenience and community, they also come with risks, such as increased fraud and misinformation.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
American political activism has surged recently among young citizens, particularly among women and people of color. At the same time, record numbers of women and minority candidates have been running for office. Does seeing more diverse candidates in terms of age, gender, and race propel more interest in political engagement among Generation Z, particularly women? Using a survey experiment imbedded in a nationally representative survey of Generation Z citizens, we present respondents with Democratic politicians who vary based on these three criteria. Women who identify strongly with their gender express greater political engagement when presented any candidate who does not fit the stereotypical politician (older/white/male). They are spurred not only by role models who represent them descriptively, but by all politicians belonging to historically marginalized groups.These effects, which are not specific to just Democratic women, provide insight for engagement efforts targeting younger Americans.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The data set accompanies the study "Understanding Generation Z's Awareness of Clean Beauty: The Role of Sustainability, Ethicality, and Safety." The research investigated how three key attributes of the clean beauty movement, safety (non-toxic ingredients), ethicality (cruelty-free practices), and sustainability (eco-conscious packaging, influence the purchase intentions of Generation Z consumers. The dat set provides responses from 195 Gen Z individuals (145 women, 50 men) collected through the Clean Beauty Awareness Questionnaire (CBAQ), a measure specifically developed by the authors for this study. The CBAQ assesses respondents' perceptions, attitudes, and purchase intentions regarding clean beauty products. The data set contains 1. Raw data file (sheet 1 of .xlsx) containing participant responses 2. Codebook/documentation (sheet 2 of .xlsx) containing the codes of categorical variables 3. Questionnaire items (sheet 3 of .xlsx) (CBAQ) as used in the study.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
In the past, a generation covered a larger span of time, having more members. However, today, thanks to the developments in technology and many other factors generations change frequently having less members and covering a few years. What matters now is the workforce itself and how these different generations work together. The current workforce has 3 generations working together while waiting for the fourth one. Soon, it is inevitable that 5 or 6 generations will be working at the same workplace. As a result, it is crucial to understand the type of leadership a generation prefers in business and academic life. The aim of this study was to find out how leadership style choice differs among four generations (Baby Boomers, Generations X, Generation Y, and Generation Z) of academics and prospective academics in Turkey. In the study, 265 participants from different generation rated the leadership attributes that contribute or impede effective leadership. The Global Leadership and Organizational Behavior Effectiveness (GLOBE) Project research survey by House et al. (2004) was used to find out the leadership style choice of different generations. The statistical relationships were determined between the generation variable and the 16 primary leadership subscales through MANOVAs and ANOVAs. The results of the tests showed that significant differences exist among the four different generations in 3 of the 16 leadership subscales. These subscales are Charismatic 3: Self-sacrifice, Conflict-inducer, and Face saver.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Birds Aren't Real (r/BirdsArentReal), is the official subreddit for the "most woke among us". It is described as "a safe haven for believers to gather, support one another in these times of adversity, and share images and stories that propel the cause forward. The birds work for the bourgeoisie".
A bit of context here: a significant number of members of Generation Z actively propagate (as a joke or seriously) the myth that birds doesn't exist anymore, because were gradually replaced by Government with drones.
The movement took a certain momentum recently, here is a selection of articles documenting this strange phenomena:
* Birds Aren’t Real, or Are They? Inside a Gen Z Conspiracy Theory
* ‘Birds Aren’t Real’: How A Parody Conspiracy Movement Fought ‘misinformation With Lunacy’
https://img.republicworld.com/republic-prod/stories/promolarge/xhdpi/wizpfcbxdds0f9sm_1639621762.jpeg" alt="">
The data is not filtered.
Reddit posts and commits from subreddit r/BirdsArentReal.
Script used for collection can be found here: Reddit extract content
Use the texts in this dataset to:
During a January 2023 survey among members of Generation Z – aged between 18 and 24 years at the time of data collection – in the United States, ** percent of respondents said the type of advertising they paid the most attention to was on social media. TV and the internet followed, mentioned by ** and ** percent of respondents, respectively.
******** was the most popular social media platform for Gen Z, or 15-to-19-year-olds, in the Netherlands in 2020, with nearly all respondents using the service. This according to domestic survey information. The ********* service already ranked as the Netherlands' overall most popular social medium in terms of users. YouTube, Instagram and Snapchat were also very popular, all reaching a penetration rate of over ** percent. Karaoke app TikTok, on the other hand, was much less popular, as only ** percent of them used the video application. Why is TikTok low in this ranking? Chinese video and sing-along application TikTok, formerly Musical.ly, made a global name as being one of the most popular smartphone apps for Generation Z. Here, it seemingly ranks low as the source used ages ** and up. This age group might potentially fall outside TikTok’s user base. While there is no data for the Netherlands that investigates the age groups below **, download numbers suggest the app grew in popularity in the Netherlands after Bytedance (TikTok’s owner) merged Musical.ly and TikTok in August 2018. A clash of generations Perhaps unsurprisingly, Gen Z uses Instagram and Snapchat much more often than their Millennial counterparts (defined by the source as 20-to 39-year olds). Interestingly, Pinterest was also more popular among the younger generation. The picture gallery app does not rank among the most popular apps in the Netherlands, reaching less than **** million people in 2019. Facebook, on the other hand, was more preferred by Millennials than it was by Generation Z.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
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.
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
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.
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!
During an early 2023 survey among members of Generation Z – aged between 18 and 24 years at the time of data collection – in the United States, over ********* (** percent) of respondents said funny TV commercials resonated the most with them. Informative ads and commercials featuring good music followed, mentioned by ** and ** percent of the interviewees, respectively.
No description was included in this Dataset collected from the OSF
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
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.
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.