Distance to news: how social media information affects bribe-giving in India
Distance to news: how social media information affects bribe-giving in India
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与新闻的距离：社交媒体信息如何影响印度的行贿行为
DOI：
10.1007/s42973-021-00084-w
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Mori Yuko
中科院分区：
文献类型：
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作者：
Goto Jun;Kurosaki Takashi;Mori Yuko
虽然最近的经验证据表明，在防止官僚和政客之间的腐败方面有一些有效的干预措施，但关于如何防止普通公民的贿赂行为的讨论却很少。本文研究的是社交媒体信息对公民贿赂供给的影响，而不是对需求方的影响。因此，我们在印度开发并发布了一个原创的新闻应用程序，并进行了为期3个月的实验。在本应用中，我们每周随机向用户传播与腐败相关的实时新闻，并在应用系统中加入实验室实验，诱导用户的贿赂行为。我们发现，地理位置接近的政客的腐败新闻降低了用户反社会贿赂行为的道德成本，导致贿赂金额增加。然而，被指控的公民和官员在地理上接近的消息增加了他们反对贿赂的道德成本，减少了金额。这表明，量身定制的地方腐败信息可能是减少公民行贿的有效工具。
While recent empirical evidence reveals some effective interventions in preventing corruption among bureaucrats and politicians, there has been little discussion on how to prevent the bribe-giving behavior of ordinary citizens. This paper investigates the role of social media information in influencing the supply of bribes by citizens instead of the demand side. We, therefore, developed and published an original news application in India and implemented a 3-month experiment. In this application, we randomly circulate live news related to corruption to users and incorporate a lab experiment into the app system to elicit users’ bribery behavior every week. We find that corruption news involving politicians within a close geographical proximity lowers users’ moral costs against the anti-social bribery act, leading to an increase in the amount of bribes. However, news of accused citizens and officials within the geographic proximity increases their moral cost against bribes and decreases the amount. This suggests that individually tailored local information on corruption may be an effective tool to reduce citizens’ supply of bribes.