Welcome to the InfoSci Platform
Reference Hub1
Tracking Comet ISON through the Twittersphere: Visualizing Science Communication in Social Media

Tracking Comet ISON through the Twittersphere: Visualizing Science Communication in Social Media

Stuart Palmer
Copyright: © 2015 |Volume: 7 |Issue: 4 |Pages: 16
ISSN: 1942-9010|EISSN: 1942-9029|EISBN13: 9781466677289|DOI: 10.4018/IJVCSN.2015100104
Cite Article Cite Article

MLA

Palmer, Stuart. "Tracking Comet ISON through the Twittersphere: Visualizing Science Communication in Social Media." IJVCSN vol.7, no.4 2015: pp.57-72. http://doi.org/10.4018/IJVCSN.2015100104

APA

Palmer, S. (2015). Tracking Comet ISON through the Twittersphere: Visualizing Science Communication in Social Media. International Journal of Virtual Communities and Social Networking (IJVCSN), 7(4), 57-72. http://doi.org/10.4018/IJVCSN.2015100104

Chicago

Palmer, Stuart. "Tracking Comet ISON through the Twittersphere: Visualizing Science Communication in Social Media," International Journal of Virtual Communities and Social Networking (IJVCSN) 7, no.4: 57-72. http://doi.org/10.4018/IJVCSN.2015100104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

People are increasingly turning to the Internet and social media for science-related information and communication. Online social media systems are a convenient source of timely and rapid information, including science-related information; however it is argued that the emergence of social media systems is a fundamentally new development in science communication. A distinguishing characteristic of social media systems is their support for ‘democratic,' user-generated content, and for the public debate and contestation of scientific ideas. The emergence of the online environment as an important source of science information is still comparatively new, as is research to understand how people find and use science information in this setting. This study investigates how information about comet ISON was communicated on the Twitter social media platform. Tweet time sequence visualization and network visualization were found to offer complementary insights into the Twitter data, and to offer a productive methodological approach for future research work.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.