MIT Technology Review: “MIT assistant professor Tauhid Zaman and two other researchers (Emily Fox at the University of Washington and Eric Bradlow at the University of Pennsylvania’s Wharton School) have come up with a model that can predict how many times a tweet will ultimately be retweeted, minutes after it is posted. The model was created by collecting retweets on a slew of topics and looking at the time when the original tweet was posted and how fast it spread. That provided knowledge used to predict how popular a new tweet will be by looking at how many times it was retweeted shortly after it was first posted.
The researchers’ findings were explained in a paper submitted to the Annals of Applied Statistics. In the paper, the authors note that “understanding retweet behavior could lead to a better understanding of how broader ideas spread in Twitter and in other social networks,” and such data may be helpful in a number of areas, like marketing and political campaigning.
You can check out the model here.”
Life and Death of Tweets Not so Random After All
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the author
Get the latest news right in you inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
citizen engagement
Making Civic Trust Less Abstract: A Framework for Measuring Trust Within Cities
Posted in June 5, 2025 by Stefaan Verhulst
artificial intelligence
The AI Policy Playbook
Posted in June 5, 2025 by Stefaan Verhulst
DATA
Europe’s dream to wean off US tech gets reality check
Posted in June 5, 2025 by Stefaan Verhulst