Online Field Experiments
Studying Social Interactions in Context
Bibliographic Data
| ID | 11326381 |
|---|---|
| Authors | Paolo Parigi (Stanford University, Stanford, CA, USA, corresponding author), Jessica J Santana (0000-0001-6660-5393, Stanford University, Stanford, CA, USA), K S Cook (0000-0003-0867-5443, Stanford University, Stanford, CA, USA) |
| Year | 2017 |
| Volume | 80 |
| Issue | 1 |
| Pages | 1-19 |
| Publication date | 2017-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Psychology Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0190-2725 • E-ISSN: 1939-8999 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0190272516680842 |
| OpenAlex | W2583151785 |
| Language | EN |
| Citations received | 18 |
| References cited | 30 |
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
Big data · Context (archaeology · Data science · Field (mathematics · Focus (optics · Political science · Social change · Social competence · Social heuristics · Social influence · Social relation · Sociology · The Internet · World Wide Web · Computer Science · Evolutionary Game Theory and Cooperation · Experimental Behavioral Economics Studies · Opinion Dynamics and Social Influence · Psychology · Social Psychology
An Inappropriate Insider in the Field
Remedial Boundary Work and Gatekeeper Centrality in a Virtual Entrepreneur Community
The science of leadership
Digital Social Research in the World and Japan
Collective Social Identity
Generalizing from social media data
Analytical sociology and computational social science
Complex Contagion in Social Networks
Faking It Is Hard to Do
Digital Trace Data
Comparative Analysis in Group Processes
Jumpstarting the Justice Disciplines
A serious games methodology to test solutions for regional food systems inequities
The Help-Seeking Paradox
Foundations for a decolonial big data psychology
Reputations in mixed-role markets
Trust in Social Relations
The Authentic Appeal of the Lying Demagogue
Groups, leadership and men
Structural Holes
The sharing economy
The Spread of Behavior in an Online Social Network Experiment
Risk Aversion and Incentive Effects
A 61-million-person experiment in social influence and political mobilization
Trust, Reciprocity, and Social History
Cybernetics, Time-Sharing, Human-Computer Symbiosis and Online Communities
Networks, Norms, and Trust
Stopping the Drama
Sociology in the Era of Big Data
Group inhibition of bystander intervention in emergencies
Bystander intervention in emergencies
Discrimination in a Low-Wage Labor Market
An Organizing Framework for Collective Identity
What Sociologists Should Know About Complexity
Digital Footprints
The Denigration of Heroes? How the Status Attainment Process Shapes Attributions of Considerateness and Authenticity
Network-Related Personality and the Agency Question
Getting a Job
Structural Holes and Good Ideas
| Unique citing works | 18 |
|---|---|
| Citations per year | 2 |
| Citation span | 2017 - 2026 (10) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 17 |