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ChatGPT Social Media Interaction Data
Social Media and Posts
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About
This collection of data focuses on public dialogue and sentiment related to the ChatGPT chatbot developed by OpenAI, following its launch in November 2022. It captures English-language tweets using the specific #ChatGPT hashtag, allowing for detailed analysis of the initial reception and subsequent discussion surrounding the artificial intelligence tool. The product is highly valuable for researchers and data scientists interested in Natural Language Processing (NLP), social network dynamics, and the real-time public adoption of emerging technology. The data is structured for ease of analysis, including specific user metrics and temporal details.
Columns
The dataset contains 13 features for each record:
- Date: The precise date when the message was posted.
- Tweet: The full text content of the social media message.
- Url: The direct web link to the original message on the platform.
- User: The unique screen name of the individual who tweeted.
- UserCreated: The date the user's account was initially set up.
- UserVerified: A Boolean indicator showing if the user holds a verified status.
- UserFollowers: The total number of followers the user has.
- UserFriends: The total number of users the tweeter is following.
- Retweet: The count of how many times the message was retweeted.
- Likes: The count of 'likes' or engagement reactions received by the message.
- Location: The location specified by the user in their profile.
- UserDescription: The descriptive text provided by the user in their profile.
Distribution
The data is provided in a CSV file format (ChatGPT.csv) and totals 216.86 MB in size. It comprises approximately 478,000 valid records across its 13 columns. The mean value for user followers is around 19.9 thousand, while the mean number of retweets per message is approximately 2.17 thousand. Updates to this dataset are expected on a weekly basis.
Usage
Ideal applications include text mining, natural language processing tasks, and social network analysis. The data can be utilised to monitor trends in public discourse regarding AI, develop sophisticated sentiment analysis models, and identify influential voices or concentrated discussions around the technology. It serves as foundational data for studying how major technological launches resonate on social platforms.
Coverage
The dataset specifically covers English tweets identified by the #ChatGPT hashtag. The temporal scope spans from the chatbot's launch in late November 2022 through to 24th February 2023, with date counts provided extending into April 2023. User data includes metrics such as account creation dates, follower counts, and location, although a large majority (96%) of the included users are not verified.
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: For studying the sociological impact or linguistic patterns associated with generative AI tools.
- Data Analysts: For quantifying early market adoption and reaction metrics.
- NLP Engineers: For training models that require large volumes of real-world, specific social media text data.
- Media Strategists: For understanding the velocity and volume of public discussion around a viral technology.
Dataset Name Suggestions
- ChatGPT Social Media Interaction Data
- OpenAI Chatbot Public Discourse Tracking
- #ChatGPT Twitter Activity Log (Nov 2022 – Apr 2023)
Attributes
Original Data Source: ChatGPT Social Media Interaction Data
QUALITY