Differences in perceptions of communication quality between a Twitterbot and human agent for information seeking and learning

被引:31
作者
Edwards, Chad [1 ]
Beattie, Austin J. [1 ]
Edwards, Autumn [1 ]
Spence, Patric R. [2 ]
机构
[1] Western Michigan Univ, Sch Commun, Kalamazoo, MI 49008 USA
[2] Univ Kentucky, Dept Commun, Div Instruct Commun, Lexington, KY USA
关键词
Twitterbots; CASA; Learning; Twitter; Cognitive elaboration; Bot; TEACHER IMMEDIACY BEHAVIORS; SOCIAL MEDIA; STATE MOTIVATION; COMPUTERS; RESPONSES; NEWS; CREDIBILITY; MODEL; THINK; IF;
D O I
10.1016/j.chb.2016.07.003
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:666 / 671
页数:6
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