领域(数学)
互联网
数据科学
光学(聚焦)
背景(考古学)
社会关系
社会启发式
大数据
计算机科学
社会影响力
社会学
社会心理学
心理学
社会变革
万维网
社会能力
政治学
物理
光学
操作系统
生物
古生物学
数学
法学
纯数学
作者
Paolo Parigi,Jessica J. Santana,Karen S. Cook
标识
DOI:10.1177/0190272516680842
摘要
Thanks to the Internet and the related availability of “Big Data,” social interactions and their environmental context can now be studied experimentally. In this article, we discuss a methodology that we term the online field experiment to differentiate it from more traditional lab-based experimental designs. We explain how this experimental method can be used to capture theoretically relevant environmental conditions while also maximizing the researcher’s control over the treatment(s) of interest. We argue that this methodology is particularly well suited for social psychology because of its focus on social interactions and the factors that influence the nature and structure of these interactions. We provide one detailed example of an online field experiment used to investigate the impact of the sharing economy on trust behavior. We argue that we are fundamentally living in a new social world in which the Internet mediates a growing number of our social interactions. These highly prevalent forms of social interaction create opportunities for the development of new research designs that allow us to advance our theories of social interaction and social structure with new data sources.
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