Using Large-Scale Social Media Experiments in Public Administration: Assessing Charitable Consequences of Government Funding of Nonprofits

Author:

Jilke Sebastian1,Lu Jiahuan1,Xu Chengxin1,Shinohara Shugo2

Affiliation:

1. Rutgers University

2. International University of Japan

Abstract

Abstract In this article, we introduce and showcase how social media can be used to implement experiments in public administration research. To do so, we pre-registered a placebo-controlled field experiment and implemented it on the social media platform Facebook. The purpose of the experiment was to examine whether government funding to nonprofit organizations has an effect on charitable donations. Theories on the interaction between government funding and charitable donations stipulate that government funding of nonprofit organizations either decreases (crowding-out), or increases (crowding-in) private donations. To test these competing theoretical predictions, we used Facebook’s advertisement facilities and implemented an online field experiment among 296,121 Facebook users nested in 600 clusters. Through the process of cluster-randomization, groups of Facebook users were randomly assigned to different nonprofit donation solicitation ads, experimentally manipulating information cues of nonprofit funding. Contrary to theoretical predictions, we find that government funding does not seem to matter; providing information about government support to nonprofit organizations neither increases nor decreases people’s propensity to donate. We discuss the implications of our empirical application, as well as the merits of using social media to conduct experiments in public administration more generally. Finally, we outline a research agenda of how social media can be used to implement public administration experiments.

Funder

National Research Foundation of Korea

Publisher

Oxford University Press (OUP)

Subject

Marketing,Public Administration,Sociology and Political Science

Reference87 articles.

1. Dynamic pricing in social networks: The word-of-mouth effect;Ajorlou;Management Science,2016

2. Giving with impure altruism: Applications to charity and Ricardian equivalence;Andreoni;The Journal of Political Economy,1989

3. An experimental test of the public-goods crowding-out hypothesis;The American Economic Review,1993

4. Is crowding out due entirely to fundraising? Evidence from a panel of charities;Andreoni;Journal of Public Economics,2011

5. Networked experiments;Aral,2016

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3