Loading…
FSCI 2017 has ended
The FORCE11 Scholarly Communications Institute at the University of California, San Diego is a week long summer training course, incorporating intensive coursework, seminar participation, group activities, lectures and hands-on training.
Thursday, August 3 • 1:30pm - 4:30pm
WT05 - Identifying How Scientific Papers Are Shared and Who Is Sharing Them on Twitter LIMITED

Sign up or log in to save this to your schedule and see who's attending!

Feedback form is now closed.
Limited Capacity seats available

About one-fifth of current scientific papers are being shared on Twitter. With 230 million active users and 24 percent of the U.S. online population using the microblogging platform, hopes are high that tweets mentioning scientific articles reflect some type of interest by the general public and might even be able to measure the societal impact of research. However, early studies show that most of the engagement with scientific papers on Twitter takes place among members of academia and thus reflects visibility within the scientific community rather than impact on society. At the same time, some tweets do not involve any human engagement but rather are generated automatically by Twitter bots.

This course focuses on identifying audiences on Twitter and teaches participants how to collect, analyze, visualize, and interpret diffusion patterns of scientific articles on Twitter. The course will provide an overview of altmetrics research and present the challenges – including methods and first results – of classifying Twitter user groups, with a particular focus on identifying members of the general public and measuring societal impact.

The course will provide hands-on exercises and instructions on how to analyze by whom, when, and how scientific papers are shared on Twitter. This will include a description, instructions, and code on how to collect tweets and user data from the Twitter API using Python, and how to manipulate this data to construct networks of following/follower relationships among Twitter users with Gephi. 

Although the course focuses on tweets mentioning scientific papers, methods of data collection and analysis are transferable to any content shared on Twitter and other social networks. Participants should have an interest in how research is communicated on social media. They are  required to bring a laptop with Gephi version 0.9.1 installed.

Proposed level: Intermediate.

Limits on participation: A limited number of participants will allow the instructor to provide adequate help with data manipulation and analysis. One instructor will teach the course, and the second instructor will provide additional support remotely. Participants are required to bring a laptop with Gephi version 0.9.1 installed. Internet access is needed to obtain data and code used during the course.

Intended audience: Researchers interested in analyzing scientific discussions on social media and public engagement with science; university administrators interested in altmetrics beyond rankings; data scientists.


Panelist
avatar for Stefanie Haustein

Stefanie Haustein

Assistant professor, University of Ottawa
I am an assistant professor at the School of Information Studies at the University of Ottawa. My research focuses on social media in scholarly communication, bibliometrics, altmetrics and open science. I am also co-directing the #scholcommlab and am an associate member of the Centre... Read More →


Thursday August 3, 2017 1:30pm - 4:30pm
RIMAC 9730 Hopkins Dr, La Jolla, CA 92093

Attendees (1)