29 datasets found
  1. h

    genz-slang-dataset

    • huggingface.co
    Updated Oct 2, 2024
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    GMLB trio 2024 (2024). genz-slang-dataset [Dataset]. https://huggingface.co/datasets/MLBtrio/genz-slang-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 2, 2024
    Dataset authored and provided by
    GMLB trio 2024
    Description

    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.

  2. Gen Z's Awareness, Societal Action, and Understanding of Waste Management...

    • zenodo.org
    Updated Jun 18, 2025
    + more versions
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    Yudhistira Sundjaya; Yudhistira Sundjaya (2025). Gen Z's Awareness, Societal Action, and Understanding of Waste Management Dataset (2025) [Dataset]. http://doi.org/10.5281/zenodo.15646587
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    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Yudhistira Sundjaya; Yudhistira Sundjaya
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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

  3. gen-z-translation

    • huggingface.co
    Updated May 6, 2024
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    AI Maker Space (2024). gen-z-translation [Dataset]. https://huggingface.co/datasets/ai-maker-space/gen-z-translation
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 6, 2024
    Dataset provided by
    Authors
    AI Maker Space
    Description

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

  4. d

    Student Marketing Data | USA Coverage | Millennial and Gen Z Contact Data

    • datarade.ai
    .csv
    Updated Apr 27, 2023
    + more versions
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    BIGDBM (2023). Student Marketing Data | USA Coverage | Millennial and Gen Z Contact Data [Dataset]. https://datarade.ai/data-products/bigdbm-3rd-party-us-consumer-millennial-and-gen-z-package-bigdbm
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Apr 27, 2023
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    Description

    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

  5. Song Preference CLassification Dataset for Gen Z

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated Oct 8, 2020
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    Chandresh Pravin; Chandresh Pravin; Varun Ojha; Varun Ojha (2020). Song Preference CLassification Dataset for Gen Z [Dataset]. http://doi.org/10.5281/zenodo.4071944
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    zipAvailable download formats
    Dataset updated
    Oct 8, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Chandresh Pravin; Chandresh Pravin; Varun Ojha; Varun Ojha
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  6. U.S. mean disposable household income 2023, by generation

    • statista.com
    • ai-chatbox.pro
    Updated May 15, 2025
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    Abigail Tierney (2025). U.S. mean disposable household income 2023, by generation [Dataset]. https://www.statista.com/topics/9997/generation-z-fashion-in-the-united-states/
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    Dataset updated
    May 15, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Description

    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.

  7. Data from: Gen Z and Beyond: A Survey for Every Generation, 2021-2023

    • beta.ukdataservice.ac.uk
    Updated 2023
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    UK Data Service (2023). Gen Z and Beyond: A Survey for Every Generation, 2021-2023 [Dataset]. http://doi.org/10.5255/ukda-sn-856374
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    Dataset updated
    2023
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Description

    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.

  8. d

    Brand Activism and GenZ

    • search.dataone.org
    Updated Dec 16, 2023
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    Scalvini, Marco (2023). Brand Activism and GenZ [Dataset]. http://doi.org/10.7910/DVN/6HNVQ8
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Scalvini, Marco
    Description

    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.

  9. m

    Dataset on Gamified Digital News Platform Engagement and Continuance...

    • data.mendeley.com
    Updated Mar 6, 2025
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    Angela Elviani (2025). Dataset on Gamified Digital News Platform Engagement and Continuance Intention Among Indonesian Gen Z [Dataset]. http://doi.org/10.17632/kt58rjjgmc.1
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    Dataset updated
    Mar 6, 2025
    Authors
    Angela Elviani
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  10. o

    Data from: Birds Aren't Real

    • opendatabay.com
    .undefined
    Updated Jun 22, 2025
    + more versions
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    Datasimple (2025). Birds Aren't Real [Dataset]. https://www.opendatabay.com/data/ai-ml/15f7800b-4c9a-44d7-8ccb-e91ffee746be
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    Datasimple
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Social Media and Networking
    Description

    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’

    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.

    License

    CC0

    Original Data Source: Birds Aren't Real

  11. m

    Dataset on the Influence Of Digital Literacy On Intention to Use Investment...

    • data.mendeley.com
    Updated Mar 18, 2025
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    Jhony Tan (2025). Dataset on the Influence Of Digital Literacy On Intention to Use Investment Applications in Generation Z: A Case Study on Financial Products [Dataset]. http://doi.org/10.17632/273p5pc7hd.1
    Explore at:
    Dataset updated
    Mar 18, 2025
    Authors
    Jhony Tan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  12. o

    Genz Road Cross Street Data in Ixonia, WI

    • ownerly.com
    Updated Dec 9, 2021
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    Ownerly (2021). Genz Road Cross Street Data in Ixonia, WI [Dataset]. https://www.ownerly.com/wi/ixonia/genz-rd-home-details
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    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Wisconsin, Ixonia, Genz Road
    Description

    This dataset provides information about the number of properties, residents, and average property values for Genz Road cross streets in Ixonia, WI.

  13. c

    Emoji marketing communications dataset

    • esango.cput.ac.za
    Updated Sep 2, 2023
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    Rodney Graeme Duffett; Mihlali Maruale (2023). Emoji marketing communications dataset [Dataset]. http://doi.org/10.25381/cput.24004359.v1
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    Dataset updated
    Sep 2, 2023
    Dataset provided by
    Cape Peninsula University of Technology
    Authors
    Rodney Graeme Duffett; Mihlali Maruale
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Ethics clearance number: 2020FOBREC807 The dataset was collected from Generation Z respondents in South Africa regarding attitudes towards digital emoji marketing communications.

  14. A

    ‘Birds Aren't Real’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Birds Aren't Real’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-birds-aren-t-real-7dab/f811882e/?iid=003-775&v=presentation
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    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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 ---

  15. A

    ‘Birds Aren't Real on Twitter Either’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Birds Aren't Real on Twitter Either’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-birds-aren-t-real-on-twitter-either-061e/latest
    Explore at:
    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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 ---

  16. A

    ‘🍒 Social Influence on Shopping’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘🍒 Social Influence on Shopping’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-social-influence-on-shopping-b26b/7b601dbe/?iid=003-288&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘🍒 Social Influence on Shopping’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/social-influence-on-shoppinge on 13 February 2022.

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

    About this dataset

    This data was collected on our social survey mobile platform Whatsgoodly. We have 300,000 millennial and Gen Z members, and have collected 150,000,000 survey responses from this demographic to date.

    This dataset was created by Adam Halper and contains around 1000 samples along with Count, Segment Type, technical information and other features such as: - Segment Description - Percentage - and more.

    How to use this dataset

    • Analyze Answer in relation to Question
    • Study the influence of Count on Segment Type
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit Adam Halper

    Start A New Notebook!

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

  17. o

    Dataset for the study - The Attractiveness of Employee Benefits in...

    • explore.openaire.eu
    Updated Jun 12, 2024
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    Michal Prokop; Michaela Heřmanová; Kateřina Kuralová; Ladislav Pilař (2024). Dataset for the study - The Attractiveness of Employee Benefits in Agriculture from the Perspective of Generation Z [Dataset]. http://doi.org/10.5281/zenodo.11624414
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    Dataset updated
    Jun 12, 2024
    Authors
    Michal Prokop; Michaela Heřmanová; Kateřina Kuralová; Ladislav Pilař
    Description

    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.

  18. s

    Dataset: Online Perfectionism: Unmasking Social Media's Toll on Mental...

    • sociosim.org
    Updated May 21, 2025
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    SocioSim Research Team (2025). Dataset: Online Perfectionism: Unmasking Social Media's Toll on Mental Health [Dataset]. https://www.sociosim.org/research/article/online-perfectionism-unmasking-social-medias-toll-on-mental-health/
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    SocioSim Research Team
    Description

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

  19. o

    Birds Aren't Real on Twitter Either

    • opendatabay.com
    .undefined
    Updated Jun 20, 2025
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    Datasimple (2025). Birds Aren't Real on Twitter Either [Dataset]. https://www.opendatabay.com/data/ai-ml/3ab403e9-8bcb-4d4b-9c6b-41ebc7b32d77
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Datasimple
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Social Media and Networking
    Description

    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’

    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.

    License

    CC0

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

  20. Data from: Young adults living with their parents

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated May 8, 2024
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    Office for National Statistics (2024). Young adults living with their parents [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/families/datasets/youngadultslivingwiththeirparents
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 8, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

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GMLB trio 2024 (2024). genz-slang-dataset [Dataset]. https://huggingface.co/datasets/MLBtrio/genz-slang-dataset

genz-slang-dataset

MLBtrio/genz-slang-dataset

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Oct 2, 2024
Dataset authored and provided by
GMLB trio 2024
Description

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.

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