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?

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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.

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  1. 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.

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    1 comment  ·  Additional data types  ·  Flag idea as inappropriate…  ·  Admin →
    planned  ·  Aurelia Specker responded

    Thanks for your feedback.

    We are currently developing more simple and scalable ways for developers to get back impression and engagement data on their owned content. Check out this space for more information soon.

    More detail is included in our Developer Platform Roadmap:

    Note that while this work is planned, the engagement solution we are working on may not be immediately viable for research use cases.

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