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.

ai-maker-space/gen-z-translation dataset hosted on Hugging Face and contributed by the HF Datasets community

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.

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 Zoroastrian community today faces many challenges, some of which are deep-rooted and complex with no easy fix or resolution. It was proposed by members of the community that an independent research project should be conducted to help understand the community as it exists today. Gen Z and Beyond: A Survey for Every Generation was a completely anonymous survey for Iranian / Parsi / Irani Zoroastrians. It was conducted by researchers at the SOAS Shapoorji Pallonji Institute of Zoroastrian Studies (SSPIZS). SOAS was chosen as a neutral platform for research, so that the researchers would not support any particular outcome from the survey. The project was approved by the SOAS Research Ethics Panel. There has been no other survey of this nature undertaken on the global Zoroastrian community. The survey questionnaire was wide-ranging and included questions about domestic and family life, professional aspirations, religious observances and beliefs, philanthropy, entrepreneurship, immigration, community engagement and other issues of importance and relevance to the (Iranian / Parsi / Irani) Zoroastrian community. The purpose of conducting the survey was to produce a report and dataset that could be of use to community leaders and researchers in the present and future.

In recent years, social media has taken on a growing significance as a search channel for products and brands, particularly among younger consumers, surpassing search engines. According to a survey conducted in 2022, ** percent of Gen Z consumers stated that they used social media to gather additional information before making a purchase, whereas ** percent of respondents relied on search engines for the same purpose.

This dataset contains responses from 467 Indonesian Gen Z respondents who participated in a survey examining continuance intention in gamified digital news platforms. The dataset was collected as part of a study investigating how perceived usefulness, satisfaction, confirmation, and intrinsic motivation (competence, autonomy, relatedness) impact user engagement and retention.

How it Started

I was interested in collecting data about how Generation Z makes decisions because college is on the horizon for my classmates and me. We are becoming the leaders, entrepreneurs, and creators of tomorrow and behind every successful person, is their ability to make the right decision at the right time.

How I Collected my Data

I collected my data through google forms and before the answers started to trickle in, I created my own hypothesis. I thought that most students in Generation Z would not be afraid to make decisions and that since they are one of the smartest generations, they would be able to tackle the task of picking which college is best for them and why.

Inspiration

I am very much aware that a lot of research is being done to find out more about Generation Z, but I was so inspired by my research coach, Coach Jo, who is currently doing research with Dr. Peggy Dawson about Generation Z and Productivity. I learned that Generation Z is by far the smartest generation, but our attention spans are cut short because of how much we use technology and the internet. This research will help find out whether technology and making decision affects Generation Z and how we, as a society, can make better decisions for better futures.

The interview protocol aims to gauge their perceptions and responses toward brand activism, with a focus on their interactions with brands endorsing social issues. Within this dataset, interviewees unpack their perspective on Gen Z attributes and evaluate their resonance with prevalent depictions. Central to the interview is the participants' feedback on prominent brand campaigns such as Nike's "JUST DO IT," Gillette's "We Believe," and Libresse/Bodyform's "Viva la Vulva," to name a few. Their analyses unveil perceptions of brand genuineness, the synergy between a brand's image and its advocated social concerns, and the overarching ramifications of brand activism on consumer purchasing decisions. In addition, the dataset broaches essential themes like social credibility, the influence of brand spokespeople, geographical variances in brand activism, and the prospective outcomes for customer fidelity and product pricing. This collection offers an in-depth glimpse into the intricate dynamics between Gen Z and brands during this period of intensified social and political awareness. This dataset comprises qualitative data obtained from interviews with 37 individuals from the Gen Z demographic, predominantly aged between 20-25 years. Of these participants, 53.3% identified as male (n=20), 40% as female (n=15), and 6.7% opted not to specify their gender (n=2). The participants for these interviews were strategically sourced using the snowballing technique between 2021 and 2022. Among them, 33 are international young adults who, at some point within the last 1-2 years, were studying or employed in the Netherlands. It is noteworthy that between October 2021 and February 2022, the Netherlands observed a stringent lockdown, mandating remote work. Consequently, some interviewees, despite affiliations with Dutch organizations, were in their home countries during their respective interviews. The distribution of participants based on their continents of origin, namely North America, Europe, and Asia, and taking into account their place of residence in instances of dual citizenship, is detailed as follows: 1) Europe has the predominant representation with a sum of 20 participants; 2) North America consists of 7 participants, all originating from the USA; 3) Asia comprises 6 participants spread across four countries: Vietnam, Indonesia, Japan, and South Korea. Additionally, 4) South America is denoted by one participant from Bolivia and another participant holding dual citizenship from Argentina but currently residing in the US.

This dataset contains responses from a survey analyzing the impact of digital literacy on Generation Z’s intention to invest in financial products through investment applications. The data includes key variables such as digital literacy levels, investment awareness, behavioral intention, perceived ease of use, perceived risk, and demographic factors. The study aims to identify the extent to which digital literacy influences financial decision-making among young investors and how technology adoption plays a role in shaping their investment behavior.

The dataset is structured to support statistical analysis, hypothesis testing, and predictive modeling, making it valuable for academic research, business insights, and financial technology development.

Context

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.

Collection

Reddit posts and commits from subreddit r/BirdsArentReal.

Script used for collection can be found here: Reddit extract content

Inspiration

Use the texts in this dataset to:

• train to do text data analysis;
• perform sentiment analysis;
• perform topic modelling on the text corpus.

In 2023, the disposable income of a household led by a Millennial in the United States was 97,866 U.S. dollars per year. Households led by someone born in Generation X, however, had a disposable income of around 113,886 U.S. dollars in 2023.

This is the dataset for the study: The Attractiveness of Employee Benefits in Agriculture from the Perspective of Generation Z Data contains: Data from Job advertisements - content analysis of job advertisements. Benefits offered by agricultural companies to employees were identified from the job advertisements.Questionnaire data - In a questionnaire survey, it was determined how attractive the employee benefits are to representatives of Generation Z. The headers of tables are translated into English. The data are in the original (Czech) language.

Analysis of ‘Birds Aren't Real’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/gpreda/birds-arent-real on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

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="">

Collection

Reddit posts and commits from subreddit r/BirdsArentReal.

Script used for collection can be found here: Reddit extract content.

The data is not filtered.

Inspiration

Use the texts in this dataset to:

• train to do text data analysis;
• perform sentiment analysis;
• perform topic modelling on the text corpus.

Note: you can combine this data (from Twitter) with data collected from Twitter, here: Birds Aren't Real on Twitter, Either. https://i1.wp.com/flaglerlive.com/wp-content/uploads/birds-real.jpg" alt="">

--- Original source retains full ownership of the source dataset ---

Explore the psychological impact of social media's 'perfect life' ideal. This research uncovers how online pressure affects well-being, particularly for Gen Z.

Analysis of ‘Birds Aren't Real on Twitter Either’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/gpreda/birds-arent-real-on-twitter-either on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

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. These drones perform, in this conspiracy theory, surveillance of the citizens.

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://miro.medium.com/max/900/1*XZYUDhEZhkPijdfAuDOfrw.jpeg" alt="">

Collection

Tweets from @birdsarenotreal account on Twitter and using #birdsarenotreal hashtag

Collected using tweepy.

The data is not filtered.

Inspiration

Use the texts in this dataset to:

• improve your skills on doing data analysis using this data;
• perform sentiment analysis;
• perform topic modelling on the text corpus.

Note: you can combine this data (from Twitter) with data collected from Reddit, here: Birds Aren't Real.

https://patch.com/img/cdn20/users/23306266/20200921/034432/styles/patch_image/public/birdsarentreal_21154403852.jpg" alt="">

--- Original source retains full ownership of the source dataset ---

This dataset captures Twitter activity related to the "Birds Aren't Real" conspiracy theory, a unique phenomenon predominantly propagated by members of Generation Z. The theory suggests that birds no longer exist, having been replaced by government-controlled drones for surveillance purposes. The movement has recently gained notable momentum. This collection comprises tweets from the @birdsarenotreal Twitter account and those using the #birdsarenotreal hashtag. It offers valuable insights into a contemporary social media trend that blends parody with serious discussion.

Columns

• id: The unique identifier for each tweet.
• user_name: The name of the user who posted the tweet.
• user_location: The stated location of the user.
• user_description: The biographical description provided by the user.
• user_created: The date the user's account was created.
• user_followers: The number of followers the user has.
• user_friends: The number of accounts the user is following.
• user_favourites: The total number of likes (favourites) accumulated by the user.
• user_verified: A boolean indicating if the user's account is verified.
• date: The date the tweet was posted.

Distribution

The dataset contains approximately 1,901 individual tweet records. The data was collected using the Tweepy library, directly from Twitter. It is provided unfiltered, ensuring the raw context of the tweets is preserved. While the exact file format is not specified, data files for marketplace listings are typically in CSV format.

Usage

This dataset is ideally suited for various analytical applications, including: * Improving data analysis skills by working with real-world social media data. * Performing sentiment analysis to gauge public perception and emotional tone surrounding the "Birds Aren't Real" topic. * Conducting topic modelling to identify recurring themes and discussions within the text corpus. * Exploring trends in social media engagement and the spread of parody or conspiracy narratives. * It can also be combined with related data, such as similar collections from Reddit, for a more holistic view.

Coverage

The data originates from global Twitter activity. The tweets span a broad period, from July 2006 to March 2022, with a notable concentration of activity recorded between December 2021 and March 2022. The demographic scope primarily concerns content propagated by Generation Z members.

License

CC0

Who Can Use It

This dataset is valuable for a wide range of users, including: * Data scientists and analysts looking for practical experience with social media data, particularly in NLP tasks. * Researchers studying internet culture, the spread of memes, conspiracy theories, or generational trends. * Students undertaking projects in data analysis, social computing, or natural language processing. * Marketing and trend analysts interested in understanding viral phenomena and online communities.

Dataset Name Suggestions

• Birds Aren't Real Twitter Data
• Gen Z Conspiracy Theory Tweets
• Social Media Drone Surveillance Data
• Twitter Birds Aren't Real Movement
• Digital Ornithology Parody Dataset

Attributes

Original Data Source: Birds Aren't Real on Twitter Either

As environmental degradation escalates, the critical need to understand green purchasing intentions and behaviours among Vietnamese Generation Z becomes increasingly urgent. Although the Theory of Planned Behavior (TPB) has been extensively applied to study pro-environmental behaviours, there remain discrepancies in how green attitudes, green subjective norms, and green perceived behavioural control influence green purchasing intentions and green purchasing behaviours. This study aims to clarify these relationships within the unique socio-economic and cultural context of Vietnamese Generation Z, a demographic influenced by collectivistic cultural values, generational characteristics, and dynamic economic conditions. These factors may reshape the conventional dynamics of TPB. Utilising quantitative methodologies, this research analysed responses from 237 Vietnamese Generation Z consumers through structural equation modelling to assess the impacts of green attitude, green subjective norms, and green perceived behavioural control on green purchasing intentions and green purchasing behaviours, particularly focusing on the mediating role of green purchasing intentions. The findings demonstrate that green attitude, green subjective norms, and green perceived behavioural control significantly affect both green purchasing intentions and green purchasing behaviours, thereby confirming the mediating influence of green purchasing intentions. This research reaffirms TPB’s relevance in Vietnam’s distinct cultural and economic environment while contributing to the broader TPB literature by exploring the mediating effects among key variables. These results also underscore the need for policymakers and businesses to create community-oriented environmental programs and tailor marketing strategies to enhance pro-environmental purchasing among young consumers.

Dataset - Singapore in the news

Raising environmental awareness and product development are two separate and costly investments that many small and medium-sized fashion businesses cannot afford to achieve sustainability. Therefore, there is a need to decide which factors more significantly impact consumer loyalty and purchase intention toward eco-friendly fashion. Thus, the study employs a mixed-methods approach to research how customers' perception about product-service quality and their environmental awareness and pro-environmental behavior impact purchase intention and customer loyalty toward eco-friendly fashion products among Vietnamese Gen Z's. Most interviewees acknowledged that their primary source of knowledge for eco-friendly fashion was social media. The qualitative results further show that the knowledge and attitude toward eco-friendly fashion practices are insufficient to convince young customers to afford eco-friendly fashion products. The quantitative results show that while customer-related factors play a more significant role in stimulating purchase intention, only product-service quality factors impact loyalty. Hence, the study suggests that businesses should prioritize improving service and product quality rather than funding green marketing when targeting the Vietnamese Gen Z. Government should prioritize financial and technological support for fashion firms to develop high-quality eco-friendly fashion to ensure the availability of products in the market.