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Kahramanmaras Earthquake Tweet Analysis Data
Data Science and Analytics
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About
Public tweets captures online discourse surrounding the major earthquake in Kahramanmaras, Turkey. The data is gathered daily, providing a continuous stream of information reflecting public reaction, news dissemination, and global conversation about this unfortunate event. It is a valuable resource for sentiment analysis, trend tracking, and understanding information flow during a natural disaster.
Columns
- ID: Unique identifier for each tweet.
- User name: The screen name of the user who posted the tweet.
- User location: The location provided in the user's Twitter profile.
- User description: The biography text from the user's profile.
- User created: The date and time 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 favorites: The number of tweets the user has marked as a favourite.
- User verified: A boolean value indicating if the user has a verified account.
- Date: The date and time the tweet was posted.
- Text: The full content of the tweet.
- Hashtags: A list of hashtags included in the tweet.
- Source: The client or application used to post the tweet (e.g., Twitter for Android).
- Retweets: The number of times the tweet has been retweeted.
- Favorites: The number of times the tweet has been marked as a favourite.
- Is retweet: A boolean value indicating if the tweet is a retweet.
Distribution
The dataset is provided in CSV format with a file size of approximately 12.08 MB. It contains around 28,800 records across 16 columns. The data is updated daily.
Usage
This dataset is ideal for natural language processing (NLP) and data analysis projects. It can be used to follow trends related to the news, analyse public sentiment, study the spread of information (and misinformation), and perform social network analysis on the conversations surrounding the earthquake.
Coverage
- Geographic: The content focuses on the earthquake in Turkey, but the user data is global, with contributors from various locations, including a notable portion from India. Many user locations are not specified.
- Time Range: The tweets in this sample were posted between 7 February 2023 and 26 February 2023. User accounts were created between 2007 and 2023.
- Demographic: The dataset captures a wide range of Twitter users discussing the event, including both verified (8%) and unverified (92%) accounts.
License
CC0: Public Domain
Who Can Use It
- Data Scientists & Analysts: Can perform trend analysis, sentiment analysis, and topic modelling to understand public discourse.
- Researchers & Academics: Can study information dissemination, social media's role during crises, and demographic engagement.
- Journalists: Can track emerging narratives and public opinion related to the event.
- Humanitarian Organisations: Could analyse data to identify patterns in public needs or reactions during the immediate aftermath of a disaster.
Dataset Name Suggestions
- Turkey Earthquake Twitter Discourse
- Kahramanmaras Earthquake Tweet Analysis Data
- Global Twitter Reaction to Turkey Earthquake
- Social Media Response: 2023 Turkey Earthquake
- Turkey Earthquake NLP & Trend Data
Attributes
Original Data Source: Kahramanmaras Earthquake Tweet Analysis Data
QUALITY