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Global Oxygen Crisis Social Data
Data Science and Analytics
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About
This dataset captures the urgent pleas and global responses related to India's severe oxygen crisis during a significant wave of the COVID-19 pandemic. It reflects the critical situation where hospitals faced shortages of life-saving oxygen, beds, and anti-viral drugs, leading to mass cremations and widespread public distress. The tweets collected represent the direct voices of individuals in India requesting assistance and people worldwide appealing to their respective countries for support, particularly with oxygen supplies. It offers a unique insight into the emotional and humanitarian aspects of the crisis, serving as a record of a critical moment in the pandemic.
Columns
- user_name: The name defined by the user for their account.
- user_location: The user-defined geographical location associated with the account profile.
- user_description: A UTF-8 string provided by the user to describe their account.
- user_created: The specific time and date when the user account was established.
- user_followers: The current count of followers an account has.
- user_friends: The current count of accounts a user is following.
- user_favourites: The current number of tweets a user has marked as favourites.
- user_verified: A Boolean indicator, true if the user's account is verified.
- date: The UTC time and date when the Tweet was originally created.
- text: The actual UTF-8 text content of the Tweet.
- hashtags: All additional hashtags included in the tweet, alongside #IndiaWantsOxygen.
- source: The utility or platform used to post the Tweet (e.g., 'web' for Twitter website).
- is_retweet: Indicates whether the authenticating user has retweeted this specific Tweet.
Distribution
The dataset is structured as a collection of tweets, typically provided in a tabular format such as CSV. It consists of 25,440 tweets and is designed to be updated on a daily basis, ensuring its relevance and increasing its size over time.
Usage
This dataset is ideal for various analytical applications, including:
- Exploratory Data Analysis (EDA) to uncover patterns and trends in public sentiment and crisis communication.
- Natural Language Processing (NLP) for sentiment analysis, topic modelling, and understanding key themes in crisis-related social media discourse.
- Data Visualisation to illustrate the geographic spread of calls for help, the volume of tweets over time, and the impact of the crisis.
- Studying the societal impact of global health crises and the role of social media in humanitarian aid.
- Analysing public appeals and aid coordination during emergencies.
Coverage
The dataset primarily covers tweets made with the #IndiaNeedsOxygen hashtag, focusing on the past week from its initial collection, with daily updates. The content reflects the situation across India, with people from all over the globe also participating by asking their countries to support India with oxygen tanks. The date range of tweets included generally spans from April to August 2021, with a concentration in April.
License
CC0
Who Can Use It
- Data scientists and analysts can use it to derive valuable information and insights into public health crises and humanitarian responses.
- Researchers studying social media trends, public sentiment during disasters, or the effectiveness of online advocacy.
- Non-governmental organisations (NGOs) and aid agencies to understand real-time needs and public discourse during crises.
- Students and educators for projects in data science, public health, or social studies.
Dataset Name Suggestions
- India Oxygen Crisis Tweets
- COVID-19 India Oxygen Pleas
- #IndiaNeedsOxygen Twitter Data
- India Pandemic Help Tweets
- Global Oxygen Crisis Social Data
Attributes
Original Data Source: #IndiaNeedsOxygen Tweets
QUALITY