Twitter Developer Feedback

Twitter for Academic Research

As we plan for the future of our developer platform we want to learn more from our academic community. What tools and resources would make it easier for you to conduct research with Twitter data, and what should we consider building?

  1. See what other ideas have been submitted and vote for ideas you like.
  2. If you have an idea that isn't already listed, create a new post.
  3. Include only one idea per post.

To start, we have added in a few ideas that have been suggested by developers in the past. Please vote or comment on those, if they reflect your own vision.

Thank you for participating!


  1. Add accurate data on Replies and Likes to the Search API

    In the current search API, the only form of engagement for which scholars currently get accurate metadata is RTs. There is no metadata field for Replies and the field for Likes does not return the number of times a tweet has been liked by other users. This information would be very valuable for academics, especially considering that the use of the "Like" button by users has increased substantially.

    21 votes
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    1 comment  ·  APIs & Tools  ·  Flag idea as inappropriate…  ·  Admin →
  2. Twitter Engagement

    Currently, the Twitter API allows one to capture data on the number of likes, retweets, and replies for each tweet. However, this does not represent total engagement as it is missing data such as link clicks, profile clicks, detail expands, etc.

    In order for researchers to understand what tweets gain most engagement, it is crucial to get the 'Total Engagement' data and impressions data for each tweet. This will help researchers understand specifically what type of content gets the highest engagement and accordingly tailor health messages.

    14 votes
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    1 comment  ·  Additional data types  ·  Flag idea as inappropriate…  ·  Admin →
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