Baselight

Technothepig Tweets

Measuring Interactions on Social Media

@kaggle.thedevastator_technothepig_twitter_analytics_likes_retweets_an

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About this Dataset

Technothepig Tweets


Technothepig Tweets

Measuring Interactions on Social Media

By Twitter [source]


About this dataset

This dataset contains over 2 years of tweets from Technothepig, and associated analytics about the engagement these posts receive. Through identifying patterns and correlations in this data, we can gain insight into how followers and others interact with this user's content on Twitter. By studying Technothepig's tweets, you can explore the ways in which people post online, the kind of content that is shared across social media channels, and how users interact with one another on platforms like Twitter. This data provides valuable insights into the way real-time conversations occur online within a large network of followers

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Research Ideas

  • Identifying popular topics and hashtags: The dataset can be used to track the number of likes, retweets, and replies on tweets related to certain topics or hashtags. This helps to gauge how well a particular topic or hashtag is doing among followers, and whether posts related to that topic are likely to generate more engagement compared to other topics.
  • Analyzing user-generated content: By looking at Likes, Retweets and Replies, one can get an understanding of what type of content resonates with Technothepig's followers better than other types of content. This is helpful for building stronger relationships between the user and their followers through relevant content that sparks more conversations on Twitter.
  • Linking data points across channels: With the dataset analytics from Twitter, one can look at correlations between activity on Instagram or other similar social media accounts that Technothepig has–like number of likes received per photo posted on Instagram when it was also tweeted out–in order to build a better understanding of user interactions across multiple channels as well as creating strategies for effectively targeting users in each channel accordingly based on their interests relative

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

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

Technothepig

@kaggle.thedevastator_technothepig_twitter_analytics_likes_retweets_an.technothepig
  • 179.29 KB
  • 1233 rows
  • 14 columns
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CREATE TABLE technothepig (
  "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
);

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