For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
53
views
6
references
 Top references
cited by
0
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    4
    shares
      20
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Stimulating Contributions to Public Goods through Information Feedback: Some Experimental Results

      research-article
      Author(s): 1 , 2 , * , 2 , 3
      Editor(s):
      Publication date (Electronic):
      Journal: PLoS ONE
      Publisher: Public Library of Science

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In traditional public good experiments participants receive an endowment from the experimenter that can be invested in a public good or kept in a private account. In this paper we present an experimental environment where participants can invest time during five days to contribute to a public good. Participants can make contributions to a linear public good by logging into a web application and performing virtual actions. We compared four treatments, with different group sizes and information of (relative) performance of other groups. We find that information feedback about performance of other groups has a small positive effect if we control for various attributes of the groups. Moreover, we find a significant effect of the contributions of others in the group in the previous day on the number of points earned in the current day. Our results confirm that people participate more when participants in their group participate more, and are influenced by information about the relative performance of other groups.

          Related collections

          Most cited references6

          • Record: found
          • Abstract: found
          • Article: not found

          Conducting behavioral research on Amazon's Mechanical Turk.

          Winter Mason, Siddharth Suri (2012)
          Amazon's Mechanical Turk is an online labor market where requesters post jobs and workers choose which jobs to do for pay. The central purpose of this article is to demonstrate how to use this Web site for conducting behavioral research and to lower the barrier to entry for researchers who could benefit from this platform. We describe general techniques that apply to a variety of types of research and experiments across disciplines. We begin by discussing some of the advantages of doing experiments on Mechanical Turk, such as easy access to a large, stable, and diverse subject pool, the low cost of doing experiments, and faster iteration between developing theory and executing experiments. While other methods of conducting behavioral research may be comparable to or even better than Mechanical Turk on one or more of the axes outlined above, we will show that when taken as a whole Mechanical Turk can be a useful tool for many researchers. We will discuss how the behavior of workers compares with that of experts and laboratory subjects. Then we will illustrate the mechanics of putting a task on Mechanical Turk, including recruiting subjects, executing the task, and reviewing the work that was submitted. We also provide solutions to common problems that a researcher might face when executing their research on this platform, including techniques for conducting synchronous experiments, methods for ensuring high-quality work, how to keep data private, and how to maintain code security.
          Article 0 comments Cited 690 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A 61-million-person experiment in social influence and political mobilization.

            Robert Bond, Christopher J. Fariss, Jason J. Jones … (2012)
            Human behaviour is thought to spread through face-to-face social networks, but it is difficult to identify social influence effects in observational studies, and it is unknown whether online social networks operate in the same way. Here we report results from a randomized controlled trial of political mobilization messages delivered to 61 million Facebook users during the 2010 US congressional elections. The results show that the messages directly influenced political self-expression, information seeking and real-world voting behaviour of millions of people. Furthermore, the messages not only influenced the users who received them but also the users' friends, and friends of friends. The effect of social transmission on real-world voting was greater than the direct effect of the messages themselves, and nearly all the transmission occurred between 'close friends' who were more likely to have a face-to-face relationship. These results suggest that strong ties are instrumental for spreading both online and real-world behaviour in human social networks.
            Article 0 comments Cited 626 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Cooperation and Contagion in Web-Based, Networked Public Goods Experiments

              Siddharth Suri, Duncan J. Watts (2011)
              A longstanding idea in the literature on human cooperation is that cooperation should be reinforced when conditional cooperators are more likely to interact. In the context of social networks, this idea implies that cooperation should fare better in highly clustered networks such as cliques than in networks with low clustering such as random networks. To test this hypothesis, we conducted a series of web-based experiments, in which 24 individuals played a local public goods game arranged on one of five network topologies that varied between disconnected cliques and a random regular graph. In contrast with previous theoretical work, we found that network topology had no significant effect on average contributions. This result implies either that individuals are not conditional cooperators, or else that cooperation does not benefit from positive reinforcement between connected neighbors. We then tested both of these possibilities in two subsequent series of experiments in which artificial seed players were introduced, making either full or zero contributions. First, we found that although players did generally behave like conditional cooperators, they were as likely to decrease their contributions in response to low contributing neighbors as they were to increase their contributions in response to high contributing neighbors. Second, we found that positive effects of cooperation were contagious only to direct neighbors in the network. In total we report on 113 human subjects experiments, highlighting the speed, flexibility, and cost-effectiveness of web-based experiments over those conducted in physical labs.
              Article 0 comments Cited 111 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Peter G. Roma: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 26 July 2016
                Publication date Collection: 2016
                Volume: 11
                Issue: 7
                Electronic Location Identifier: e0159537
                Affiliations
                [1 ]School of Sustainability, Arizona State University, Tempe, Arizona, United States of America
                [2 ]Center for Behavior, Institutions and the Environment, Arizona State University, Tempe, Arizona, United States of America
                [3 ]Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, United States of America
                Institutes for Behavior Resources and Johns Hopkins University School of Medicine, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: MAJ AL HS. Performed the experiments: MAJ AL. Analyzed the data: MAJ. Wrote the paper: MAJ AL HS.

                Article
                Publisher ID: PONE-D-16-10569
                DOI: 10.1371/journal.pone.0159537
                PMC ID: 4961413
                PubMed ID: 27459070
                SO-VID: f01751f1-05c3-47be-9ef4-700cf2ec75c1
                Copyright © © 2016 Janssen et al
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 13 March 2016
                Date accepted : 4 July 2016
                Page count
                Figures: 7, Tables: 4, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000145, Division of Information and Intelligent Systems;
                Award ID: 1210856
                Award Recipient :
                This work was supported by US National Science Foundation, grant number 1210856 ( http://www.nsf.gov/awardsearch/showAward?AWD_ID=1210856).
                Categories
                Subject: Research Article
                Subject: Computer and Information Sciences
                Subject: Network Analysis
                Subject: Social Networks
                Subject: Social Sciences
                Subject: Sociology
                Subject: Social Networks
                Subject: Social Sciences
                Subject: Economics
                Subject: Experimental Economics
                Subject: Research and Analysis Methods
                Subject: Research Design
                Subject: Experimental Design
                Subject: Computer and Information Sciences
                Subject: Computer Applications
                Subject: Web-Based Applications
                Subject: Social Sciences
                Subject: Sociology
                Subject: Communications
                Subject: Social Communication
                Subject: People and Places
                Subject: Population Groupings
                Subject: Educational Status
                Subject: Undergraduates
                Subject: Earth Sciences
                Subject: Atmospheric Science
                Subject: Climatology
                Subject: Climate Change
                Subject: Social Sciences
                Subject: Sociology
                Subject: Communications
                Subject: Social Communication
                Subject: Social Media
                Subject: Facebook
                Subject: Computer and Information Sciences
                Subject: Network Analysis
                Subject: Social Networks
                Subject: Social Media
                Subject: Facebook
                Subject: Social Sciences
                Subject: Sociology
                Subject: Social Networks
                Subject: Social Media
                Subject: Facebook
                Custom metadata
                Data Availability All relevant data are within the paper and its Supporting Information file.

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

                Comments

                Comment on this article

                scite_

                Similar content20

                See all similar

                Most referenced authors54

                See all reference authors