84 datasets found
  1. Use of ChatGPT worldwide in 2023, by age and gender

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Use of ChatGPT worldwide in 2023, by age and gender [Dataset]. https://www.statista.com/statistics/1384324/chat-gpt-demographic-usage/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    ChatGPT is used most widely among those between 25 and 34 around the world. The youngest group, those under 24, are the second largest userbase, and together those under 34 account for over 60 percent of ChatGPT users. It is perhaps unsurprising that the younger age brackets use the chatbot more than older as that is the common trend with new technologies. Male users were far more numerous than female users, with males representing over 65 percent of total users in 2023.

  2. b

    ChatGPT Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Feb 9, 2023
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    Business of Apps (2023). ChatGPT Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/chatgpt-statistics/
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    Dataset updated
    Feb 9, 2023
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    ChatGPT has taken the world by storm, setting a record for the fastest app to reach a 100 million users, which it hit in two months. The implications of this tool are far-reaching, universities...

  3. Top user concerns about ChatGPT SEA 2023

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Top user concerns about ChatGPT SEA 2023 [Dataset]. https://www.statista.com/statistics/1382944/sea-top-user-concerns-about-chat-gpt/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2023
    Area covered
    Asia
    Description

    In a survey conducted across **** Southeast Asian countries in February 2023, almost half of the respondents selected collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, ethical issues related to data privacy and intellectual property were a concern for ** percent of the respondents.

  4. Engagement with OpenAI and ChatGPT in Italy 2022-2023

    • statista.com
    Updated Apr 25, 2023
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    Statista (2023). Engagement with OpenAI and ChatGPT in Italy 2022-2023 [Dataset]. https://www.statista.com/statistics/1379705/italy-openai-chatgpt-engagement/
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    Dataset updated
    Apr 25, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Jan 2023
    Area covered
    Italy
    Description

    In January 2023, ChatGPT registered over nine million interactions from users in Italy, up by over 300 percent compare to the previous month. By comparison, the OpenAI website registered 1.2 million actions performed by Italian users. At the end of March 2023, the main national privacy regulator in Italy prompted OpenAI to provide information on how and why the company collects user data, if the company wanted to avoid seeing its access to the Italian market blocked.

  5. Frequency of using ChatGPT Indonesia 2023

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Frequency of using ChatGPT Indonesia 2023 [Dataset]. https://www.statista.com/statistics/1493243/indonesia-chatgpt-usage-frequency/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Nov 2023
    Area covered
    Indonesia
    Description

    A 2023 survey found that approximately ** percent of respondents in Indonesia reported using ChatGPT on a weekly basis for various purposes, from work to entertainment. Meanwhile, around ** percent of respondents stated that they rarely used ChatGPT.

  6. g

    Characteristics of ChatGPT users from Germany: implications for the digital...

    • search.gesis.org
    • datacatalogue.cessda.eu
    Updated Aug 9, 2024
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    Ulloa, Roberto; Kacperski, Celina; Selb, Peter; Kulshrestha, Juhi; Spitz, Andreas; Bonnay, Denis (2024). Characteristics of ChatGPT users from Germany: implications for the digital divide from web tracking data [Dataset]. https://search.gesis.org/research_data/SDN-10.7802-2745
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    Dataset updated
    Aug 9, 2024
    Dataset provided by
    Exzellenzcluster "The Politics of Inequality" (Konstanz)
    GESIS search
    Authors
    Ulloa, Roberto; Kacperski, Celina; Selb, Peter; Kulshrestha, Juhi; Spitz, Andreas; Bonnay, Denis
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Area covered
    Germany
    Description

    A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage of the AI-powered conversational agent ChatGPT. We combine behavioral and survey data in a web tracked sample of N=1376 German citizens to investigate differences in ChatGPT activity (usage, visits, and adoption) during the first 11 months from the launch of the service (November 30, 2022). Guided by a model of technology acceptance (UTAUT-2), we examine the role of socio-demographics commonly associated with the digital divide in ChatGPT activity and explore further socio-political attributes identified via stability selection in Lasso regressions. We confirm that lower age and higher education affect ChatGPT usage, but neither gender nor income do. We find full-time employment and more children to be barriers to ChatGPT activity. Using a variety of social media was positively associated with ChatGPT activity. In terms of political variables, political knowledge and political self-efficacy as well as some political behaviors such as voting, debating political issues online and offline and political action online were all associated with ChatGPT activity, with online political debating and political self-efficacy negatively so. Finally, need for cognition and communication skills such as writing, attending meetings, or giving presentations, were also associated with ChatGPT engagement, though chairing/organizing meetings was negatively associated. Our research informs efforts to address digital disparities and promote digital literacy among underserved populations by presenting implications, recommendations, and discussions on ethical and social issues of our findings.

  7. ChatGPT website traffic share 2024, by country

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). ChatGPT website traffic share 2024, by country [Dataset]. https://www.statista.com/statistics/1463911/chatgpt-chat-open-ai-com-traffic-share-by-country/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    Worldwide
    Description

    In January 2024, ChatGPT online domain chat.openai.com registered over **** percent of its traffic as originating in the United States. Users based in India generated approximately **** percent of the total visits to the chatbot platform, while users in Indonesia accounted for *** percent of the total visits to the website. Visits from Brazil represented the fourth-largest group for the platform, generating more than **** percent of the total traffic recorded in the examined period.

  8. e

    ChatGPT Usage by Age Group – Survey Data

    • expresslegalfunding.com
    html
    Updated May 2, 2025
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    Express Legal Funding (2025). ChatGPT Usage by Age Group – Survey Data [Dataset]. https://expresslegalfunding.com/chatgpt-study/
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    htmlAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Express Legal Funding
    License

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

    Variables measured
    60+, 18–29, 30–44, 45–60
    Description

    This dataset presents ChatGPT usage patterns across different age groups, showing the percentage of users who have followed its advice, used it without following advice, or have never used it, based on a 2025 U.S. survey.

  9. e

    Types of ChatGPT Advice Used – Survey Data

    • expresslegalfunding.com
    html
    Updated May 2, 2025
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    Express Legal Funding (2025). Types of ChatGPT Advice Used – Survey Data [Dataset]. https://expresslegalfunding.com/chatgpt-study/
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    htmlAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Express Legal Funding
    License

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

    Variables measured
    Legal Advice, Career Advice, Educational Help, Financial Advice, Medical Information, Relationship Advice, Mental Health Topics, News / Current Events, Product Recommendations
    Description

    This dataset shows the types of advice users sought from ChatGPT based on a 2025 U.S. survey, including education, financial, medical, and legal topics.

  10. C

    ChatGPT Statistics 2025

    • sambretzmann.com
    Updated Jun 12, 2025
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    (2025). ChatGPT Statistics 2025 [Dataset]. https://sambretzmann.com/chatgpt-statistics/
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    Dataset updated
    Jun 12, 2025
    License

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

    Description

    Comprehensive ChatGPT statistics covering 800 million weekly users, $300 billion valuation, market share, demographics, and technical specifications for 2025.

  11. e

    ChatGPT Usage by U.S. Census Region – Survey Data

    • expresslegalfunding.com
    html
    Updated May 2, 2025
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    Express Legal Funding (2025). ChatGPT Usage by U.S. Census Region – Survey Data [Dataset]. https://expresslegalfunding.com/chatgpt-study/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Express Legal Funding
    License

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

    Variables measured
    Pacific, Mountain, New England, South Atlantic, Middle Atlantic, East North Central, East South Central, West North Central, West South Central
    Description

    This dataset presents ChatGPT usage patterns across U.S. Census regions, based on a 2025 nationwide survey. It tracks how often users followed, partially used, or never used ChatGPT by state region.

  12. Global ChatGPT and Gemini app downloads 2025

    • statista.com
    • ai-chatbox.pro
    Updated Apr 23, 2025
    + more versions
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    Statista (2025). Global ChatGPT and Gemini app downloads 2025 [Dataset]. https://www.statista.com/statistics/1497377/global-chatgpt-vs-gemini-app-downloads/
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    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2023 - Mar 2025
    Area covered
    Worldwide
    Description

    In March 2025, ChatGPT’s mobile app recorded over 64.26 million App Store and Google Play downloads worldwide. Google's Gemini AI Assistant mobile app was released on February 8, 2024, and was initially available in the U.S. market only. In the same month, the app registered around 13.92 million downloads. Regional preferences shape AI app adoption ChatGPT has a strong global presence with over 400.61 million monthly active users in February 2025, but regional preferences vary. In the United States, ChatGPT had a 45 percent download market share, compared to Google Gemini's 11 percent. However, Gemini emerged as the preferred generative AI app in India, representing a 52 percent market share. This competitive landscape now also includes Chinese-based players like ByteDance's Doubao and DeepSeek, indicating an even more diverse and evolving AI worldwide ecosystem. The AI-powered revolution in online search The global AI market has experienced substantial growth, exceeding 184 billion U.S. dollars in 2024 and projected to surpass 826 billion U.S. dollars by 2030. This expansion is mirrored in user behavior, with around 15 million adults in the United States using AI-powered tools as their first option for online search in 2024. Additionally, 68 percent of U.S. adults reported the use of AI-powered search engines for exploring new topics in 2024, with another 44 percent of respondents utilizing these tools to learn or explain concepts.

  13. o

    Supplemental for ChatGPT User Study - GenAI in Learning Software Engineering...

    • explore.openaire.eu
    Updated Nov 3, 2023
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    Rudrajit Choudhuri; Dylan Liu; Igor Steinmacher; Marco Gerosa; Anita Sarma (2023). Supplemental for ChatGPT User Study - GenAI in Learning Software Engineering [Dataset]. http://doi.org/10.5281/zenodo.8193821
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    Dataset updated
    Nov 3, 2023
    Authors
    Rudrajit Choudhuri; Dylan Liu; Igor Steinmacher; Marco Gerosa; Anita Sarma
    Description

    Supplemental Material Contents: · 1-Demographic Information.xlsx: contains the demographic information of the participants in the study. · 2-Forms.zip: contains the forms and questionnaires used to collect data for the experiment: demographic form, pre-study, post-study, and AAR/AI questionnaires. · 3-GitHub-Repository.zip: a copy of the GitHub repository used in the study. · 4-Tutorial Scripts.zip: script used in the experiment with the groups to be consistent with all participants. · 5-Logs-Rubric-Grades.zip: contains the participant data log (commit and PR), rubric for grading submissions, and grades. · 6-RQ1-Data-and-Analysis.zip: contains the data and analysis with respect to RQ1. · 7-RQ2-Data-and-Analysis.zip: contains the data and analysis with respect to RQ2. · 8-Participant Prompts.xlsx: contains the experimental group participant prompts with ChatGPT. 2. Forms.zip The forms zip contains the following files: · Demographics.pdf: a form used to collect demographic information from participants before the study. · Control Pre-Study Questionnaire.pdf: Pre study questionnaire control group (Self-Efficacy Questionnaire) · Control Post-Study Questionnaire.pdf: Post study questionnaire control group (NASA-TLX, Self-Efficacy Questionnaire) · Treatment - AAR_AI task.pdf: Pre and Post task AAR/AI questionnaire for experimental group. · Experimental Pre-Study Questionnaire.pdf: Pre study questionnaire experimental group (Self-Efficacy Questionnaire, Question for Familiarity with AI) · Experimental-Post Study Questionnaire.pdf: Post study questionnaire experimental group (AAR/AI step 7, Continuance Intention, NASA-TLX, HAI Guideline Questions, Self-Efficacy Questionnaire) 3-GitHub-Repository.zip The GitHub repository used in the study: contains the main.py code file and the Readme.md file (having the written instructions for the participants). 4-Tutorial Scripts.zip Contains: · Control-Script.pdf: Script for the control group. · Experimental-Script.pdf: Script for the experimental group. 5-Logs-Rubric-Grades.zip · rubric.pdf: Created rubric for grading task performance. · GitHub-Task3-Log.xlsx: File containing the data regarding the status of commit made and PR raised for each participant. · grades.xlsx: Detailed grades for each participant in experimental (treatment) and control groups. 6-RQ1-Data-and-Analysis.zip Note: The term 'treatment' has been used in the files of this folder to represent the experimental group: participants using ChatGPT for the tasks. · NASA TLX: folder containing the participant data (TLX.xlsx), code for statistical analysis (Stat-TLX.py) and statistical reports (analysis-TLX.csv). · Task Performance: folder containing the participant data (grades.xlsx & Scores.xlsx(overall grade)), code for statistical analysis (Stat-Correctness.py) and statistical reports (analysis.csv). · Self-Efficacy: folder containing: o Self-Efficacy-detailed.xlsx: participant data o Paired Stats: folder containing data (Total Self Efficacy.csv), code for statistical analysis(paired-stats.py), and statistical reports (analysis.csv). o Box plot: folder containing the code for generating the box plot and its output. · Continuance Intention.xlsx: participant data (experimental) for continuance intention of ChatGPT. · Stat-Table-H1-2-Paper.xlsx: Statistics table for NASA TLX and task performance as presented in the paper. 7-RQ2-Data-and-Analysis.zip · AAR_AI-Responses.xlsx: AAR/AI responses filled by participants in experimental group. · Quotation Manager-Faults&Conseq.xlsx: Contains the quotations from AAR/AI responses along with corresponding codes. Also contains the quotes that link faults to consequences in a separate sheet. · Codebook.xlsx: The final codebook (faults and consequences). · HAI-data.xlsx: Contains the reported guideline violations along with disaggregated analysis (grouped by gender). · Likert Plot-HAI: folder contains the code for generating the Likert plot figure presented in the paper.

  14. S

    OpenAI Statistics By Revenue, Investors, Users, Web Traffic And Facts (2025)...

    • sci-tech-today.com
    Updated Jul 11, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    OpenAI Statistics: OpenAI, Inc. is an AI company based in San Francisco, California, and was started in December 2015. Its main goal is to build powerful and safe AI systems. OpenAI wants to create smart machines, called AGI, that can do most jobs better than humans, especially the ones that add economic value. This is also best known for developing advanced AI tools like ChatGPT, designed to solve real-world problems and improve daily life. Its mission is to make powerful AI available to everyone in a way that benefits society.

    This article includes several current statistical analyses that are taken from different insights, which will guide in understanding the topic effectively as it covers the overall market, sales, user demographics, usage shares, website traffic, and many other factors.

  15. H

    ChatGPT Earns the Confidence of Users

    • dataverse.harvard.edu
    Updated Sep 4, 2023
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    Himanshi Bansal (2023). ChatGPT Earns the Confidence of Users [Dataset]. http://doi.org/10.7910/DVN/I4FPCP
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 4, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Himanshi Bansal
    License

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

    Description

    Survey data on ChatGPT Earns the Confidence of Users

  16. e

    ChatGPT Trust Levels by Advice Category – Survey Data

    • expresslegalfunding.com
    html
    Updated May 2, 2025
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    Express Legal Funding (2025). ChatGPT Trust Levels by Advice Category – Survey Data [Dataset]. https://expresslegalfunding.com/chatgpt-study/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Express Legal Funding
    License

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

    Variables measured
    Legal Advice, Career Advice, Educational Help, Financial Advice, Medical Information, Relationship Advice, Mental Health Topics, News / Current Events, Product Recommendations
    Description

    This dataset presents how much users trust ChatGPT across different advice categories, including career, education, financial, legal, and medical advice, based on a 2025 U.S. survey.

  17. How User Language Affects Conflict Fatality Estimates in ChatGPT, Query...

    • zenodo.org
    • data.niaid.nih.gov
    text/x-python, zip
    Updated Jul 26, 2023
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    Kazenwadel Daniel*; Kazenwadel Daniel*; Steinert Christoph*; Steinert Christoph* (2023). How User Language Affects Conflict Fatality Estimates in ChatGPT, Query script and dataset [Dataset]. http://doi.org/10.5281/zenodo.8181226
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    zip, text/x-pythonAvailable download formats
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kazenwadel Daniel*; Kazenwadel Daniel*; Steinert Christoph*; Steinert Christoph*
    License

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

    Description

    *both authors contributed equally

    Automated query script for automated language bias studies in GPT 3-5

    Dataset of the paper "How User Language Affects Conflict Fatality Estimates in ChatGPT" preprint available on ArXiv

  18. o

    Mobile ChatGPT User Feedback

    • opendatabay.com
    .undefined
    Updated Jul 5, 2025
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    Datasimple (2025). Mobile ChatGPT User Feedback [Dataset]. https://www.opendatabay.com/data/ai-ml/3ecb80ad-dd56-4f41-afa0-dd5fd29dad80
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    .undefinedAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset authored and provided by
    Datasimple
    Area covered
    Reviews & Ratings
    Description

    This dataset provides a collection of user reviews for the ChatGPT mobile application on iOS. It captures valuable user insights and sentiments, making it suitable for understanding customer satisfaction, evaluating app performance, and identifying emerging trends. The data was gathered by scraping ChatGPT reviews from the App Store.

    Columns

    • date: The date the review was posted.
    • title: The heading or title of the user's review.
    • review: The full text of the user's review.
    • rating: The star rating provided by the user.

    Distribution

    The dataset is typically provided in a CSV file format. It includes 2058 unique date values and 2257 unique review texts. The reviews span from 18th May 2023 to 25th July 2023. Review counts by period are as follows: * 18th May 2023 - 25th May 2023: 1,475 reviews * 25th May 2023 - 1st June 2023: 267 reviews * 1st June 2023 - 7th June 2023: 117 reviews * 7th June 2023 - 14th June 2023: 82 reviews * 14th June 2023 - 21st June 2023: 60 reviews * 21st June 2023 - 28th June 2023: 59 reviews * 28th June 2023 - 4th July 2023: 73 reviews * 4th July 2023 - 11th July 2023: 45 reviews * 11th July 2023 - 18th July 2023: 57 reviews * 18th July 2023 - 25th July 2023: 57 reviews

    Rating distribution is also available: * 1.00 - 1.40 stars: 495 reviews * 1.80 - 2.20 stars: 139 reviews * 3.00 - 3.40 stars: 220 reviews * 3.80 - 4.20 stars: 304 reviews * 4.60 - 5.00 stars: 1,134 reviews

    Usage

    This dataset is ideal for: * Sentiment analysis to gauge user emotions and opinions regarding the ChatGPT app. * Performance evaluation to identify factors contributing to high or low user ratings. * Pattern identification to uncover recurring themes and common issues in user feedback.

    Coverage

    The dataset covers reviews globally, spanning a time range from 18th May 2023 to 25th July 2023.

    License

    CC-BY-NC

    Who Can Use It

    • Data scientists and analysts for performing sentiment analysis and machine learning tasks on user-generated text.
    • App developers and product managers seeking to understand user satisfaction and improve app features based on direct feedback.
    • Market researchers for insights into user perceptions of AI applications and large language models.

    Dataset Name Suggestions

    • ChatGPT iOS App Reviews
    • Mobile ChatGPT User Feedback
    • App Store ChatGPT Review Data
    • iOS App User Sentiment for ChatGPT

    Attributes

    Original Data Source: ChatGPT App Reviews

  19. o

    ChatGPT Google Play Reviews

    • opendatabay.com
    .undefined
    Updated Jul 3, 2025
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    Datasimple (2025). ChatGPT Google Play Reviews [Dataset]. https://www.opendatabay.com/data/ai-ml/fd040053-e431-4725-b180-af87c1c0a328
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    .undefinedAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Datasimple
    Area covered
    Reviews & Ratings
    Description

    This dataset provides a daily-updated collection of user reviews and ratings specifically for the ChatGPT Android application. It includes crucial information such as the review text, associated ratings, and the dates when reviews were posted. The dataset also details the relevancy of each review. It serves as a valuable resource for understanding user sentiment, tracking app performance over time, and analysing trends within the AI and Large Language Model (LLM) application landscape.

    Columns

    • reviewId: A unique identifier assigned to each user review.
    • id: An additional, distinct identifier associated with each review.
    • userName: The name of the user who submitted the review.
    • content: The textual body or comment provided by the user in their review.
    • score: The numerical rating given by the user, typically on a scale from 1 to 5, indicating their satisfaction or experience.
    • thumbsUpCount: The total number of 'likes' or positive reactions that a particular review has received.
    • appVersion: The specific version of the ChatGPT Android application that the user was running when they posted their review.
    • reviewDate: The precise date and time at which the user review was originally posted.

    Distribution

    The dataset is primarily available in a tabular format, typically a CSV file, facilitating easy integration and analysis. It comprises over 637,000 unique reviews, reflecting a substantial volume of user feedback. This dataset is updated on a daily basis, ensuring access to the latest user opinions and rating trends. While the exact file size is not specified, the number of records indicates a considerable volume of data.

    Usage

    This dataset is ideal for various analytical applications, including: * Sentiment Analysis: Extracting and understanding user emotions and opinions towards the ChatGPT Android app. * Natural Language Processing (NLP) Tasks: Training and testing NLP models for text classification, entity recognition, and language generation based on real-world user input. * App Performance Monitoring: Tracking changes in user ratings and feedback over time to gauge application performance and identify areas for improvement. * Market Research: Gaining insights into user perception of AI and LLM applications within the mobile market. * Competitive Analysis: Comparing user feedback for the ChatGPT app against other similar applications. * Feature Prioritisation: Identifying desired features or common pain points mentioned by users to inform product development.

    Coverage

    This dataset offers global coverage, collecting reviews from users across the world. The time range for the reviews spans from 25 July 2023 to 30 June 2025. This extensive period allows for longitudinal studies of user sentiment and app evolution. It captures feedback from a diverse demographic of ChatGPT Android app users. Some data points, such as appVersion, may occasionally have null values.

    License

    CC-BY-NC-SA

    Who Can Use It

    • Data Scientists and Analysts: For conducting sentiment analysis, topic modelling, and training machine learning models on large volumes of text data.
    • App Developers and Product Managers: To understand user feedback, identify bugs, track feature requests, and plan future app enhancements.
    • Market Researchers: To assess market trends, consumer behaviour, and the reception of AI-powered applications.
    • Academic Researchers: For studies on human-AI interaction, user experience, and public perception of emerging technologies.
    • Businesses in the AI/LLM Sector: To perform competitive analysis and inform strategic decisions based on real user feedback.

    Dataset Name Suggestions

    • ChatGPT Android App Reviews
    • Daily ChatGPT Mobile Ratings
    • AI App User Feedback Data
    • ChatGPT Google Play Reviews
    • User Sentiment for ChatGPT App

    Attributes

    Original Data Source: ChatGPT reviews [DAILY UPDATED]

  20. o

    Public Sentiment on ChatGPT Dataset

    • opendatabay.com
    .undefined
    Updated Jul 5, 2025
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    Datasimple (2025). Public Sentiment on ChatGPT Dataset [Dataset]. https://www.opendatabay.com/data/ai-ml/4f84df82-9852-490b-b41a-00a4a4191f47
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    .undefinedAvailable download formats
    Dataset updated
    Jul 5, 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

    This dataset contains information related to ChatGPT, OpenAI's conversational AI model, gathered from social media. It includes keywords such as "chatgpt" and "chat gpt", as well as associated hashtags and mentions. The dataset's purpose is to help in understanding public opinion, identifying trends, and exploring potential applications of ChatGPT. By analysing tweet volume, sentiment, user engagement, and the influence of key AI events, this dataset offers valuable insights for various stakeholders.

    Columns

    • date: The date and time when the tweet was posted.
    • id: A unique identifier for each tweet.
    • content: The text of the tweet.
    • username: The Twitter username of the person who posted the tweet.
    • like_count: The number of likes received by the tweet.
    • retweet_count: The number of times the tweet was retweeted.

    Distribution

    This dataset is provided as a CSV file and includes data on 500,000 tweets. The dataset consists of two CSV files: an originally scraped dataset and a preprocessed dataset.

    Usage

    This dataset is ideal for: * Understanding public sentiment and trends surrounding ChatGPT. * Analysing tweet volume and user engagement related to AI-powered conversational technologies. * Exploring the influence of key AI events on social media discussions. * Supporting research into the societal impact and adoption of conversational AI.

    Coverage

    The dataset covers the period from January to March 2023. The data collected is global in scope, capturing public opinion on social media platforms.

    License

    CC0

    Who Can Use It

    • Companies: To inform product development, marketing strategies, and market positioning within the AI sector.
    • Researchers: For academic studies on public perception of AI, natural language processing applications, and social media dynamics.
    • Policymakers: To understand societal implications of AI technologies and inform regulatory frameworks.

    Dataset Name Suggestions

    • ChatGPT Twitter Data Jan-Mar 2023
    • AI Conversational Model Tweets (Early 2023)
    • Public Sentiment on ChatGPT
    • Social Media Trends: ChatGPT Activity

    Attributes

    Original Data Source: 500k ChatGPT-related Tweets Jan-Mar 2023

Share
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Email
Click to copy link
Link copied
Close
Cite
Statista (2024). Use of ChatGPT worldwide in 2023, by age and gender [Dataset]. https://www.statista.com/statistics/1384324/chat-gpt-demographic-usage/
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Use of ChatGPT worldwide in 2023, by age and gender

Explore at:
21 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 12, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
Worldwide
Description

ChatGPT is used most widely among those between 25 and 34 around the world. The youngest group, those under 24, are the second largest userbase, and together those under 34 account for over 60 percent of ChatGPT users. It is perhaps unsurprising that the younger age brackets use the chatbot more than older as that is the common trend with new technologies. Male users were far more numerous than female users, with males representing over 65 percent of total users in 2023.

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