Worldwide Tweets on Ukraine Crisis

Columns

• id: Unique identifier for each message.
• conversation_id: Identifier to group messages belonging to the same conversation thread.
• created_at: Date and time when the tweet was created.
• date: Date when the tweet was created.
• time: Time when the tweet was created.
• timezone: Time zone of the user who posted the tweet.
• user_id: Unique identifier for the Twitter user.
• username: The username of the Twitter account.
• name: The display name of the Twitter account.
• place: The location associated with the tweet, if provided.
• tweet: The full text content of the tweet.
• language: The detected language of the tweet.
• mentions: List of user mentions within the tweet.
• urls: List of URLs included in the tweet.
• photos: List of photo URLs attached to the tweet.
• replies_count: The number of replies to the tweet.
• retweets_count: The number of retweets the tweet received.
• likes_count: The number of likes the tweet received.
• hashtags: List of hashtags used in the tweet.
• cashtags: List of cashtags used in the tweet.
• link: The direct URL to the tweet.
• retweet: Boolean indicating if the tweet is a retweet.
• quote_url: URL of the quoted tweet, if applicable.
• video: Boolean indicating if the tweet contains a video.
• thumbnail: URL of the video thumbnail, if a video is present.
• near: Approximate geographic location (textual description).
• geo: Geographic coordinates of the tweet.
• source: The application or client used to post the tweet.
• user_rt_id: User ID of the original tweeter if this is a retweet.
• user_rt: Username of the original tweeter if this is a retweet.
• retweet_id: ID of the original tweet if this is a retweet.
• reply_to: List of IDs of tweets this tweet is a reply to.
• retweet_date: Date of the retweet.
• translate: Boolean indicating if the tweet has been translated.
• trans_src: Source language of the translation.
• trans_dest: Destination language of the translation.

Distribution

Usage

• Sentiment Analysis: Understanding public sentiment towards the Russia-Ukraine conflict.
• Trend Analysis: Identifying emerging topics, narratives, and trends in social media discussions.
• Social Media Monitoring: Tracking discourse and reactions to significant geopolitical events.
• Linguistic Research: Analysing language patterns and communication strategies related to conflict.
• Public Opinion Research: Gaining insights into global public perspectives on the war.

Coverage

License

Who Can Use It

• Researchers: For academic studies on geopolitics, social media analysis, and public sentiment.
• Data Scientists/Analysts: To build and test natural language processing models, perform data mining, and extract insights.
• Journalists: To inform reporting and understand public reaction to current events.
• Government and Policy Analysts: To gauge public opinion and assess the impact of events.
• Non-Governmental Organisations (NGOs): For understanding social narratives surrounding humanitarian and political crises.

Dataset Name Suggestions

• Global Russia-Ukraine Conflict Tweets
• Social Media Discourse: Russia-Ukraine War
• Ukraine Conflict Tweets (July 2022)
• Geopolitical Tweet Analysis Dataset
• Worldwide Tweets on Ukraine Crisis

Attributes