Introducing ReChat: A Lab-in-the-Cloud for Text Discussions

Abstract Text is a major medium of contemporary interpersonal communication but is difficult for social scientists to study unless they have significant resources or the skills to build their own research platform. In this paper, we introduce a cloud-based software solution to this problem: ReChat, an online research platform for conducting experimental and observational studies of live text conversations. We demonstrate ReChat by applying it to a specific phenomenon of interest to political scientists: conversations among co-partisans. We present results from two studies, focusing on (1) self-selection factors that make chat participants systematically unrepresentative and (2) a pre-registered analysis of loquaciousness that finds a significant association between speakers’ ideological extremity and the amount they write in the chat. We conclude by discussing practical implications and advice for future practitioners of chat studies.

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Institutions

Publication Details

Journal
Journal of Experimental Political Science
Published
2024-12-18
DOI
https://doi.org/10.1017/xps.2024.18
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.41

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article

Introducing ReChat: A Lab-in-the-Cloud for Text Discussions

Xiaoxiao Shen, WILLIAM SCHULZ
1 citations
Journal of Experimental Political Science
Online Learning and Analytics
0.41
article

Introducing ReChat: A Lab-in-the-Cloud for Text Discussions

Xiaoxiao Shen, WILLIAM SCHULZ
article en
1 citations

Abstract

Abstract Text is a major medium of contemporary interpersonal communication but is difficult for social scientists to study unless they have significant resources or the skills to build their own research platform. In this paper, we introduce a cloud-based software solution to this problem: ReChat, an online research platform for conducting experimental and observational studies of live text conversations. We demonstrate ReChat by applying it to a specific phenomenon of interest to political scientists: conversations among co-partisans. We present results from two studies, focusing on (1) self-selection factors that make chat participants systematically unrepresentative and (2) a pre-registered analysis of loquaciousness that finds a significant association between speakers’ ideological extremity and the amount they write in the chat. We conclude by discussing practical implications and advice for future practitioners of chat studies.

Journal of Experimental Political ScienceVol. 12(3)
Yale University (US), Stanford University (US)
Princeton University
Openalex Percentile: Top 24%
Online Learning and Analytics
0.41
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