Article
Differences in perceptions of communication quality between a Twitterbot and human agent for information seeking and learning
Computers in Human Behavior
(2016)
Abstract
Twitter’s design allows the implementation of automated programs that can submit tweets, interact with others, and generate content based on algorithms. Scholars and end-users alike refer to these programs to as “Twitterbots.” This two-part study explores the differences in perceptions of communication quality between a human agent and a Twitterbot in the areas of cognitive elaboration, information seeking, and learning outcomes. In accordance with the Computers Are Social Actors (CASA) framework (Reeves & Nass, 1996), results suggest that participants learned the same from either a Twitterbot or a human agent. Results are discussed in light of CASA, as well as implications and directions for future studies.
Keywords
- twitterbots,
- casa,
- learning,
- twitter,
- cognitive elaboration,
- bot
Disciplines
Publication Date
2016
DOI
http://dx.doi.org/10.1016/j.chb.2016.07.003
Citation Information
Chad Edwards, Austin Beattie, Autumn Edwards and Patric R Spence. "Differences in perceptions of communication quality between a Twitterbot and human agent for information seeking and learning" Computers in Human Behavior Vol. 65 (2016) p. 665 - 671 Available at: http://works.bepress.com/patric-spence/24/