Joe Biden's Tweets by Kaggle | Ecommerce and Consumer Trends

About this Dataset

Joe Biden's Tweets

Likes, Retweets, Shares, and Conversation Dynamics

About this dataset

At the heart of understanding Joe Biden's successful election campaign were his effective and engaged use of social media. This dataset provides unparalleled insights into how Biden harnessed the power of Twitter to create engaging conversations, share his views on policy issues, and build positive relationships with his followers. Researchers can use this data to observe the likes, retweets, shares, and replies that Biden's posts generated over time to better understand how he connected with people. Explore this dataset to track hourly, daily and weekly activity in order to gain unique insights into how Joe Biden crafted his message using social media platforms. Analyze outlinks for discussion topics relevant for elections or even pull quoted tweets from Twitter users who engage in conversations with him. You'll be able to see first -hand just how influential Joe Biden was with regards to engaging in meaningful dialogue with individuals across America while gaining valuable insight into the powerful impact that digital communication had on this particular political race

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How to use the dataset

This dataset offers researchers, journalists and political analysts a comprehensive understanding of how former Vice President Joe Biden’s social media activity provides insight into his views and opinions on policy, foreign relationships and election dynamics.

Through this dataset, users can identify trends in the number of likes, retweets and replies that are generated by the posts from Joe Biden’s Twitter account. Along with this data users can also observe changes in the quoted Tweets, outlinks mentioned in posts as well as the URLs associated with them.

To make full use of this dataset follow these steps:
  1. Begin by exploring the key columns such as content (tweet text), created_at (date/time posted), likeCount (number of likes on tweet), retweetCount (number of retweets on tweet) and replyCount (number of replies to tweet).
  2. Using analytical tools explore correlations between variables such as between created_at column and other columns like quoteCount or outlinks to see if certain insights can be drawn depending upon when the post is made or not made by Joe Biden himself or a campaign staff member against variables like type & length of post, medium used etc..
  3. Explore which tweets have more reach with higher engagement rates within lesser time frames using variables like retweetedTweet & quotedTweet along side other fields for more interesting insights about what kind messages work better than others for specific times & situations during campaigns. 4. Engage further with observed patterns to identify further links leading to interesting conclusions about outreach related activity during campaigning periods using analysis methods like data visualisations across time lines linking multiple tweets together + finding geographic regions where Joe Biden has most followers etc..
Finally never forget that proper application (& comparison) through hypothesis testing is essential when dealing with large datasets while correlating facts across multiple channels - especially dealing with topics related to politics involving a public figure being analyzed through their own tweets!

Research Ideas

Analyzing the sentiment of Joe Biden's tweet text and how it changes over time.

Tracking engagement with different topics to understand which issues are most important to him and his followers.

Comparing tweet engagement dynamics between Joe Biden and other prominent political figures for research comparison studies

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: JoeBiden.csv

Column name	Description
content	The text of the tweet. (String)
created_at	The date and time the tweet was posted. (DateTime)
likeCount	The number of likes the tweet has received. (Integer)
media	Any associated media with the post. (String)
outlinks	Any outlinks associated with that tweet. (String)
quoteCount	The number of times it has been quoted. (Integer)
quotedTweet	If it is a reply or quote to another person's post, this will be included here. (String)
replyCount	How many people have replied to that tweet. (Integer)
retweetCount	How many times its been retweeted. (Integer)
retweetedTweet	If its gone viral or had been tweeted by somone else-this part would include their name/handlel if posssible. (String)
url	URL of from where you can acvcess that particular tweet. (String)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Twitter.

Tables

Joebiden

@kaggle.thedevastator_uncovering_joe_biden_s_message_through_social_me.joebiden

1.69 MB
7481 rows
14 columns


CREATE TABLE joebiden (
  "content" VARCHAR,
  "created_at" VARCHAR,
  "date" VARCHAR,
  "likecount" BIGINT,
  "media" VARCHAR,
  "outlinks" VARCHAR,
  "quotecount" BIGINT,
  "quotedtweet" VARCHAR,
  "replycount" BIGINT,
  "retweetcount" BIGINT,
  "retweetedtweet" VARCHAR,
  "url" VARCHAR,
  "id" BIGINT,
  "conversationid" BIGINT
);