This document describes a project to automatically generate tweets about medical research studies and news to help spread information to disease communities on Twitter. The system, called Science Connect, scans databases of research publications, clinical trials, and university news to find relevant disease-specific content and tweets about it using hashtags. In an initial test over 10 months, the Science Connect Twitter accounts gained over 1,500 followers and tweeted over 2,000 times. The tweets received over 1,100 clicks from users and over 100 retweets or mentions, suggesting it helped spread research information to interested audiences. Feedback from communicators was positive about the time it saved them in disseminating research. Further analysis is needed to fully assess the reach and benefits of different types
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Spreading Science, One Automated Tweet At A Time
1. Spreading Science,
One Automated Tweet At A Time
Katja Reuter1, PhD, and Anirvan Chatterjee2
Bradley Voytek3, PhD, John Daigre1
1 Southern California Clinical and Translational Science Institute (SC CTSI), University of Southern California (USC)
2 Clinical and Translational Science Institute (CTSI at UCSF), University of California, San Francisco (UCSF)
3 University of California, San Francisco (UCSF), Department of Neurology
Presented to CTSA Communications Key Functions Committee group,
Sep 18, 2013
23. For example…
ü Publications from PubMed
ü Clinical trials information from ClinicalTrials.gov
ü Tweets from researchers and University groups
ü University research news from University Relations
ü Researchers’ profiles
36. After 6 weeks
After 10 months
Total number of followers
867
Total number of tweets sent
1,042
Number of clicks by Twitter
users
1,149
Number of mentions and
retweets by Twitter users
106
39. After 6 weeks
After 10 months
Total number of followers
867
2,381
Total number of tweets sent
1,042
2,000
Number of clicks by Twitter
users
1,149
Analysis ongoing
Number of mentions and
retweets by Twitter users
106
Analysis ongoing
44. UCSF Science Connect is a great time saver. It
helps us by making sure that we don t miss the
latest HIV research conducted at UCSF that s
potentially relevant and interesting to our audience.
Michael Bare, Research Communications Specialist,
Center for AIDS Prevention Studies, UCSF
45. I jumped at the chance to use UCSF
Science Connect! Automating the information-
finding step is a great plus for communicators, and
the smart hashtagging not only gets the info to a
wider audience, it educates us all on leveraging the
power of the medium.
Karen Gehrman, Interim Communications Manager,
Helen Diller Family Cancer Center, UCSF
46. q We can increase the reach of research by using social media and
connect with disease communities.
q Automation is not necessarily a bad thing if it is made clear to
audience.
q Using such an approach, communicators can save time and
increase their output.
What we learned
47. q More research is necessary to assess
q the reach of different types of content to benefit diseases
communities.
q what content serves disease communities best.
q if such an approach strengthen an institution’s research
brand.
q if such an approach can foster research participant
recruitment?
Next steps
48. Thanks!
This project was funded through an IT Innovation Contest Award from
the University of California, San Francisco (UCSF) and supported by
the Clinical and Translational Science Institute (CTSI) at UCSF.
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