Public Sentiment on Biden's Climate Actions
Government & Civic Records
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About
This dataset contains tweets collected using the Tweepy library, primarily focusing on public discourse surrounding climate change and the Biden administration's policies, including discussions around Biden's veto. It is designed for natural language processing (NLP) to determine the sentiment of tweets—positive, negative, or neutral. The dataset also includes additional information such as the location where tweets were posted and the specific topics discussed. This resource is invaluable for understanding public opinion, identifying key discussion points, and assessing the societal impact of governmental decisions and environmental policies.
Columns
- ID: A unique identifying number for each user, anonymised for privacy purposes.
- Username: The Twitter username, also renamed to protect user privacy.
- Text: The full content of the retrieved tweet.
- Date: The exact date when the tweet was posted.
- Location: The geographical location from which the tweet was posted.
- Retweets: The total number of times a tweet was retweeted by other users.
- Favorites: The total number of times a tweet was marked as a 'favourite' (or 'like').
- Language: The language in which the tweet was written.
- Entities: This field provides extra contextual information and metadata, including details about hashtags, symbols, user mentions (e.g.,
@MarshaBlackburn
,@OccupyDemocrats
), and any URLs included in the tweet.
Distribution
The dataset encompasses 5,467 unique tweet records in total. The majority of tweet activity occurred between 22 March 2023 and 31 March 2023, with peak activity recorded from 22 March to 24 March 2023. Specific date-time counts include 1,945 tweets from 22/03/2023 - 23/03/2023 and 1,634 from 23/03/2023 - 24/03/2023. A notable portion of the dataset includes retweets, with 32% of content attributed to user mentions like
@MarshaBlackburn
and 31% to @OccupyDemocrats
, with the remaining 37% from other sources.Usage
This dataset is ideally suited for:
- Natural Language Processing (NLP) tasks to perform sentiment analysis (positive, negative, neutral) on tweets.
- Tracking public sentiment regarding climate change and the Biden administration's policies.
- Identifying key topics and trending discussions within the public discourse.
- Measuring the societal impact and reception of political actions and environmental initiatives.
Coverage
The data spans the period from 22 March 2023 to 31 March 2023. Geographically, 49% of the tweets originate from the United States, with another 49% categorised as 'Other' and 2% without a specified location. The dataset captures general public opinion on Twitter concerning climate change and governmental policies. To ensure user privacy, all Twitter usernames and unique IDs have been renamed.
License
CC-BY-SA
Who Can Use It
- Researchers: To conduct academic studies on public opinion, political communication, and environmental discourse.
- Data Scientists: For developing and testing NLP models, performing sentiment analysis, and extracting insights from social media data.
- Policymakers: To gain an understanding of public sentiment on climate change policies and gauge the public's reaction to administrative decisions.
Dataset Name Suggestions
- Tweets on Climate Policy and Biden Veto
- Public Sentiment on Biden's Climate Actions
- US Climate Change Twitter Data 2023
- NLP Analysis of Climate Tweets
Attributes
Original Data Source: NLP - Tweets About Climate Change and Joe Biden