Big Data-Based Peer-to-Peer Lending Fintech: Surveillance System through Utilization of Google Play Review

Nika Pranata () and Alan Ray Farandy

Working Papers from eSocialSciences

Abstract: Peer-to-peer lending (P2PL) FinTech is growing rapidly in Indonesia. With its flexibility and simplicity, P2PL reduces the gap in financing that cannot be fulfilled by banks. However, the rapid development of P2PL also raises a number of problems that burden users such as unethical debt collection methods, and the imposition of excessive interest rate and other costs that potentially threaten national financial system stability. Therefore, by utilizing big data, which in this case is 40,650 reviews from 110 P2PLs obtained from Google Play within the period of March 2016–August 2018, this research builds a big data-based P2PL surveillance system based on four aspects, namely legality, review rating, debt collection methods, and level of interest rates and other costs.

Keywords: eSS; Peer-to-peer lending (P2PL); fintech; peer to peer lending; big data; review; Google Play (search for similar items in EconPapers)
Date: 2019-04
Note: Institutional Papers
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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