UID:
almafu_9960855313002883
Format:
1 online resource (81 pages) :
,
digital, PDF file(s).
ISBN:
1-009-11853-6
,
1-009-11861-7
,
1-009-11032-2
Series Statement:
Cambridge elements. Elements in experimental political science,
Content:
Does interpersonal political communication improve the quality of individual decision making? While deliberative theorists offer reasons for hope, experimental researchers have demonstrated that biased messages can travel via interpersonal social networks. We argue that the value of interpersonal political communication depends on the motivations of the people involved, which can be shifted by different contexts. Using small-group experiments that randomly assign participants' motivations to seek or share information with others as well as their motivations for evaluating the information they receive, we demonstrate the importance of accounting for motivations in communication. We find that when individuals with more extreme preferences are motivated to acquire and share information, collective civic capacity is diminished. But if we can stimulate the exchange of information among individuals with stronger prosocial motivations, such communication can enhance collective civic capacity. We also provide advice for other researchers about conducting similar group-based experiments to study political communication.
Note:
Title from publisher's bibliographic system (viewed on 10 Oct 2022).
,
Cover -- Title Page -- Copyright Page -- Examining Motivations in Interpersonal Communication Experiments -- Contents -- 1 Introduction -- 2 Our Experimental Framework -- 2.1 Current Approaches and Findings -- 2.2 Instructing Participants -- 3 Motivating Information Seeking and Sharing -- 3.1 Background -- 3.2 Theory -- 3.3 Hypotheses -- 3.4 Experimental Design -- 3.4.1 Candidates -- 3.4.2 Voters -- 3.4.3 Private Information -- 3.4.4 Social Information -- 3.4.5 The Treatments -- 3.4.6 Sample -- 3.5 Experimental Findings -- 3.6 Conclusion -- 4 Motivating Prosociality -- 4.1 Background -- 4.2 Theory -- 4.3 Hypotheses -- 4.4 Experimental Design -- 4.4.1 Candidates -- 4.4.2 Voters -- 4.4.3 Private Information -- 4.4.4 Social Information -- 4.4.5 Treatments -- 4.4.6 Sample -- 4.5 Experimental Findings -- 4.6 Conclusion -- 5 Advice on Experimental Design -- 5.1 External Validity -- 5.1.1 Getting the Incentives Right -- 5.2 The Challenges of Interdependence -- 5.2.1 The Source of Interdependence -- 5.2.2 Accounting for Interdependence -- 5.3 Maximizing Statistical Power -- 5.4 Avoiding Posttreatment Bias -- 5.5 Try This at Home! -- References -- Acknowledgments.
Additional Edition:
Print version: ISBN 9781009114288
Language:
English
URL:
https://doi.org/10.1017/9781009110327
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