This dataset provides insights into the spending habits of Gen Z (ages 18-27) across various categories such as rent, groceries, entertainment, education, savings, and more. It contains 1700 records and 15 financial attributes, making it a valuable resource for financial trend analysis, budgeting studies, and machine learning applications in personal finance.

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.

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

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.

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.

The dataset consists of responses collected via an online questionnaire targeting Generation Z individuals in Portugal. It focuses on understanding the adoption of AI-driven chatbots in the tourism and hospitality industries. The data includes demographic information, behavioral variables, and responses to constructs from the AI Device Use Acceptance (AIDUA) model, such as emotional reaction, performance expectancy, anthropomorphism, and social influence.

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

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

This dataset captures social media activity from r/BirdsArentReal, the official subreddit for those who believe birds have been replaced by government drones [1]. It serves as a platform for Generation Z members, who may propagate this myth as a joke or seriously, to share related content and support the "Birds Aren't Real" movement [1]. The data includes Reddit posts and comments, providing insights into this unique social phenomenon [1]. For example, users can find discussions about avian-like robots, such as one created by researchers with peregrine falcon legs capable of perching on complex surfaces and carrying irregular objects [2].

Columns

• title: The title of the Reddit post or comment [2].
• score: The score (upvotes/downvotes) of the Reddit post or comment [2].
• id: A unique identifier for the Reddit post or comment [2].
• url: The URL associated with the Reddit post or comment [2].
• comms_num: The number of comments on a Reddit post [2].
• created: The creation timestamp of the Reddit post or comment [2].
• body: The main content or body text of the Reddit post or comment [2].
• timestamp: A numerical timestamp for the creation of the Reddit entry [2].
• Comment: This column appears to capture specific comments or comment-related data [2].

Distribution

The dataset comprises Reddit posts and comments [1], available in an unspecified format. While a precise total number of rows or records is not given directly, the data spans a significant volume, with over 12,000 unique score values recorded [3]. For instance, a substantial portion of the dataset (approximately 74%) relates to a specific URL [3], and a large number of entries fall within certain score ranges [2, 3]. The data is unfiltered [1]. The dataset version is 1.0, with a listed date of 22/06/2025 [4].

Usage

This dataset is ideal for [1]: * Training text data analysis models. * Performing sentiment analysis on social media content. * Conducting topic modelling on the collected text corpus. * Analysing trends and discourse within a unique online community. * Can be combined with Twitter data on the same topic for broader social media analysis [1].

Coverage

The data covers a time range from 20th November 2021 to 15th March 2022 [5]. The dataset is global in scope [4]. It originates from the r/BirdsArentReal subreddit, focusing on content propagated by Generation Z members [1]. The dataset has a quality rating of 5 out of 5 [4].

License

CC0

Who Can Use It

• Data Scientists: For text processing, natural language processing (NLP), and machine learning model training [1].
• Researchers: Studying online communities, social phenomena, and the spread of unusual beliefs or parody movements [1].
• Marketers/Trend Analysts: To understand niche online trends and Gen Z engagement [1].
• Academics: For social sciences and digital humanities research.

Dataset Name Suggestions

• Birds Aren't Real Reddit Dataset
• Gen Z Conspiracy Theory Social Media Data
• r/BirdsArentReal Community Posts
• Fictional Avian Drone Social Data
• Birds Aren't Real Subreddit Activity

Attributes

Original Data Source: Birds Aren't Real

This dataset aims to determine the views, perceptions and behaviours of Generation Z in South Africa towards health crisis communication during the COVID-19 pandemic. The data was collected through semi-structured face-to-face interviews, and the 12 participants were selected from across the gender among Gen Z at the University of Pretoria. These interviews dwelled on areas like trust in government messaging, adherence to health measures, using social and digital platforms to share information and attitudes towards contradictory or inconsistent health information.The semi-structured interview methodology combining some extent of formal questions and answers with detailed participants’ descriptions gave profound qualitative data. It was, therefore, essential to come up with questions that would bring out episodes, feelings and thought processes that people went through during the pandemic. This way of working was helpful in thoroughly investigating the topics of interest while respecting the participants’ priorities. The dataset is central to this part of the analysis because cognitive dissonance, communication strategies, and behavioural outcomes are presumably linked in this population.

This paper emphasises the factors motivating Gen Z individuals to perceive virtual reality (VR) as a catalyst for transforming companies' marketing strategies. Several hypotheses were developed, and the behaviour of individuals was analysed using a questionnaire-based approach.

No description was included in this Dataset collected from the OSF

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.

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’

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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.

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

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… See the full description on the dataset page: https://huggingface.co/datasets/maddy2104/Sindhi-Handwritten-Alphabets.

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

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.

Sexual orientation in the UK by region, sex, age, legal partnership status, and ethnic group. These are official statistics in development.

As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

              Instagram’s Global Audience

              As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
              As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.

              Who is winning over the generations?

              Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.

According to a March 2024 survey conducted in the United States, 32 percent of adults reported feeling that social media had neither a positive nor negative effect on their own mental health. Only seven percent of social media users said that online platforms had a very positive effect on their mental health, while 12 percent of users said it had a very negative impact. Furthermore, 22 percent of respondents said social media had a somewhat negative effect on their mental health. Is social media addictive? A 2023 survey of individuals between 11 and 59 years old in the United States found that over 73 percent of TikTok users agreed that the platform was addictive. Furthermore, nearly 27 percent of those surveyed reported experiencing negative psychological effects related to TikTok use. Users belonging to Generation Z were the most likely to say that TikTok is addictive, yet millennials felt the negative effects of using the app more so than Gen Z. In the U.S., it is also not uncommon for social media users to take breaks from using online platforms, and as of March 2024, over a third of adults in the country had done so. Following mental health-related content Although online users may be aware of the negative and addictive aspects of social media, it is also a useful tool for finding supportive content. In a global survey conducted in 2023, 32 percent of social media users followed therapists and mental health professionals on social media. Overall, 24 percent of respondents said that they followed people on social media if they had the same condition as they did. Between January 2020 and March 2023, British actress and model Cara Delevingne was the celebrity mental health activist with the highest growth in searches tying her name to the topic.

As of April 2024, Facebook had an addressable ad audience reach 131.1 percent in Libya, followed by the United Arab Emirates with 120.5 percent and Mongolia with 116 percent. Additionally, the Philippines and Qatar had addressable ad audiences of 114.5 percent and 111.7 percent.