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Rishi Sunak PM Election Reactions on Twitter
Government & Civic Records
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About
The data captures public reactions on Twitter following the election of Rishi Sunak as the UK Prime Minister. This collection of tweets reflects immediate public sentiment and discussion surrounding Mr Sunak's ascent to power after Liz Truss's brief tenure. The dataset is particularly valuable for performing sentimental analysis on a key political event, offering insight into how social media users reacted to the first UK Prime Minister of Indian origin.
Columns
The data contains 15 columns detailing various aspects of the tweets and the users who posted them:
- id, tweet_id: Unique identifiers for the records and the tweets themselves.
- text: The full content of the tweet.
- username: The Twitter handle of the user who posted the tweet.
- hashtags: The associated hashtags used in the tweet.
- created_at: The exact date and time the tweet was posted.
- user followers count: The number of followers the posting user has.
- replycount: The quantity of replies received by the tweet.
- retweetcount: The number of times the tweet was retweeted.
- likecount: The total likes received by the tweet.
- quotecount: The quantity of quote tweets related to the original post.
- language: The primary language detected in the tweet (e.g., 'en' for English).
- quotedtweet: Information regarding any quoted tweet.
- inReplyToTweetId: Identifies if the tweet is a reply to another specific tweet ID.
- inReplyToUser: Identifies the user to whom the tweet is replying.
- mentionedUsers: A list of other users mentioned within the tweet.
Distribution
The dataset consists of 113,578 tweets. The file, named
uk_pm.csv, is approximately 45.13 MB and contains 15 columns. It is delivered in CSV format. This is a static snapshot of data; no future updates are expected.Usage
This collection is suitable for various applications, including:
- Sentimental Analysis: Determining the overall positive, negative, or neutral public mood regarding Rishi Sunak's election.
- Text Mining: Extracting topics, frequent terms, and key phrases related to the political transition.
- Natural Language Processing (NLP): Training models for text classification, entity recognition, and language analysis related to political discourse.
- Social Media Analytics: Analysing user engagement metrics (retweets, replies, likes) during a significant political event.
Coverage
The data was collected between 1 September 2022 and 25 October 2022, focusing on the period leading up to and immediately following Mr Sunak becoming PM. The geographical scope covers global Twitter reaction, although the subject is UK politics. The primary language of the tweets is English (approximately 87%), followed by Hindi (4%), indicating a global reach with significant interest from South Asian diaspora.
License
CC0: Public Domain
Who Can Use It
- Political Scientists: To study the immediate electoral impact and public acceptance of the new Prime Minister.
- Machine Learning Engineers: For training and testing political sentiment models or NLP tools.
- Market Researchers: To understand public perception and media buzz surrounding governmental changes.
- Journalists and Media Analysts: For generating data-driven insights on social media trends related to UK politics.
Dataset Name Suggestions
- UK Prime Minister Rishi Sunak Twitter Sentiment Analysis
- Rishi Sunak PM Election Tweets 2022
- Twitter Reactions to UK PM Changeover
- Political Public Opinion in the UK (2022)
Attributes
Original Data Source: Rishi Sunak PM Election Reactions on Twitter
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