Preserving User Privacy Through Ephemeral Sharing Design: A Large-Scale Randomized Field Experiment in the Online Dating Context

2020 ◽  
Author(s):  
Yumei He ◽  
Xingchen Xu ◽  
Ni Huang ◽  
Yili Hong ◽  
De Liu
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Online Dating ◽  
User Privacy ◽  
Randomized Field Experiment

scholarly journals You’ve Got Mail: A Randomized Field Experiment on Tax Evasion

2020 ◽  
Vol 66 (7) ◽  
pp. 2801-2819 ◽  
Author(s):  
Kristina M. Bott ◽  
Alexander W. Cappelen ◽  
Erik Ø. Sørensen ◽  
Bertil Tungodden
Keyword(s):  
Behavioral Economics ◽  
Field Experiment ◽  
Tax Evasion ◽  
Detection Probability ◽  
Large Scale ◽  
Tax Compliance ◽  
Extensive Margin ◽  
Long Term Effects ◽  
Randomized Field Experiment

We report from a large-scale randomized field experiment conducted on a unique sample of more than 15,000 taxpayers in Norway who were likely to have misreported their foreign income. By randomly manipulating a letter from the tax authorities, we cleanly identify that moral suasion and the perceived detection probability play a crucial role in shaping taxpayer behavior. The moral letter mainly works on the intensive margin, while the detection letter has a strong effect on the extensive margin. We further show that only the detection letter has long-term effects on tax compliance. This paper was accepted by Yan Chen, behavioral economics.

One-Way Mirrors in Online Dating: A Randomized Field Experiment

2016 ◽  
Vol 62 (11) ◽  
pp. 3100-3122 ◽  
Author(s):  
Ravi Bapna ◽  
Jui Ramaprasad ◽  
Galit Shmueli ◽  
Akhmed Umyarov
Keyword(s):  
Field Experiment ◽  
Online Dating ◽  
Randomized Field Experiment

scholarly journals Moderating attitudes in times of violence through paradoxical thinking intervention

2016 ◽  
Vol 113 (43) ◽  
pp. 12105-12110 ◽  
Author(s):  
Boaz Hameiri ◽  
Roni Porat ◽  
Daniel Bar-Tal ◽  
Eran Halperin
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Small City ◽  
Randomized Field Experiment ◽  
City Population ◽  
Scale Field ◽  
Paradoxical Thinking ◽  
Large Scale Field ◽  
The Government ◽  
The City

In the current paper, we report a large-scale randomized field experiment, conducted among Jewish Israelis during widespread violence. The study examines the effectiveness of a “real world,” multichanneled paradoxical thinking intervention, with messages disseminated through various means of communication (i.e., online, billboards, flyers). Over the course of 6 wk, we targeted a small city in the center of Israel whose population is largely rightwing and religious. Based on the paradoxical thinking principles, the intervention involved transmission of messages that are extreme but congruent with the shared Israeli ethos of conflict. To examine the intervention’s effectiveness, we conducted a large-scale field experiment (prepost design) in which we sampled participants from the city population (n = 215) and compared them to a control condition (from different places of residence) with similar demographic and political characteristics (n = 320). Importantly, participants were not aware that the intervention was related to the questionnaires they answered. Results showed that even in the midst of a cycle of ongoing violence within the context of one of the most intractable conflicts in the world, the intervention led hawkish participants to decrease their adherence to conflict-supporting attitudes across time. Furthermore, compared with the control condition, hawkish participants that were exposed to the paradoxical thinking intervention expressed less support for aggressive policies that the government should consider as a result of the escalation in violence and more support for conciliatory policies to end the violence and promote a long-lasting agreement.

Motivating Effective Mobile App Adoptions: Evidence from a Large-Scale Randomized Field Experiment

2019 ◽  
Vol 30 (2) ◽  
pp. 523-539 ◽  
Author(s):  
Tianshu Sun ◽  
Lanfei Shi ◽  
Siva Viswanathan ◽  
Elena Zheleva
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Mobile App ◽  
Randomized Field Experiment

scholarly journals Social Advertising Effectiveness Across Products: A Large-Scale Field Experiment

2020 ◽  
Vol 39 (6) ◽  
pp. 1142-1165
Author(s):  
Shan Huang ◽  
Sinan Aral ◽  
Yu Jeffrey Hu ◽  
Erik Brynjolfsson
Keyword(s):  
Social Network ◽  
Field Experiment ◽  
Large Scale ◽  
Online Social Network ◽  
Advertising Effectiveness ◽  
Randomized Field Experiment ◽  
Scale Field ◽  
Large Scale Field ◽  
Social Advertising

We collaborated with a large online social network to conduct a randomized field experiment measuring social ad effectiveness across 71 products in 25 categories among more than 37 million users.

Creating Social Contagion Through Firm-Mediated Message Design: Evidence from a Randomized Field Experiment

2020 ◽  
Author(s):  
Tianshu Sun ◽  
Siva Viswanathan ◽  
Elena Zheleva
Keyword(s):  
Social Learning ◽  
Field Experiment ◽  
Large Scale ◽  
Causal Effect ◽  
Social Contagion ◽  
Social Utility ◽  
Message Design ◽  
Message Content ◽  
Randomized Field Experiment

We study whether and how a firm can enhance social contagion simply by varying the message shared by customers with their friends. We focus on two key components of information contained in the message—information about the sender’s purchase status prior to referral and information about the existence of referral rewards—and their impacts on the recipient’s purchase decision and further referral behavior. In collaboration with an online daily-deal platform, we design and conduct a large-scale randomized field experiment involving more than 75,000 customers to identify the causal effect of different message designs on creating social contagion. We find that small variations in message content can have a significant impact on both recipients’ purchase and referral behaviors. Specifically, we find that (1) adding only information about the sender’s purchase status increases the likelihood of the recipient’s purchase but has no impact on follow-up referrals, (2) adding only information about referral reward increases the recipient’s follow-up referrals but has no impact on purchase likelihood, and (3) adding information about both the sender’s purchase and the referral rewards increases neither the likelihood of purchase nor follow-up referrals. We build a model to analyze the tradeoff between more adoption and more diffusion and implement the best-performing message design in a production system with millions of shared messages per year (with a projected increase in net profits of more than US$1 million per year). We further exploit the rich heterogeneity in deal, recipient, sender, and social-tie characteristics and examine the mechanisms underlying the effect of message design. The results suggest that both social learning and social utility are at work, and the attenuation in the recipient’s purchase is mainly driven by a decrease in social learning resulting from credibility concerns. The findings of the study provide actionable guidelines to firms for optimal design of messages at the aggregate and more granular levels. This paper was accepted by Anandhi Bharadwaj, information systems.

scholarly journals Media Trust and Persuasion

2021 ◽  
Author(s):  
Shuhei Kitamura ◽  
Toshifumi Kuroda
Keyword(s):  
Field Experiment ◽  
Large Scale ◽  
Government Policies ◽  
Viewing Time ◽  
Political Preferences ◽  
Randomized Field Experiment ◽  
Heterogeneous Effects ◽  
Media Outlet ◽  
Media Trust ◽  
The Government

This study examines the effect of media use on media trust and persuasion using a large-scale randomized field experiment, which was conducted in collaboration with the nation's most trusted media outlet. By randomly increasing the capacity for viewing its TV programs, we found that this treatment increased support for government policies by increasing program viewing time, which is, as we demonstrate, biased in favor of the government. Furthermore, we determined that the effect is driven mostly by those who trusted the outlet more than other broadcasters and that their levels of trust in the outlet were even *increased* by our treatment, which we call *endogenous persuasion*. By contrast, we did not discover heterogeneous effects with respect to political preferences. To better understand the mechanism underlying these findings, we developed a model of endogenous persuasion.

Sign in / Sign up

Export Citation Format

Share Document