Jiaqi Kuang
Media News and Social Media Information in the Chinese Peer-to-Peer Lending Market
Kuang, Jiaqi; Ji, Xudong; Cheng, Peng; Kallinterakis, Vasileios Bill
Authors
Xudong Ji
Peng Cheng
Dr Vasileios Kallinterakis vasileios.kallinterakis@durham.ac.uk
Associate Professor
Abstract
This paper uses supervised machine learning (sentiment analysis) to analyze the sentiments of social media information in the P2P lending market. After segmentation, filtering, feature word extraction, and model training of the text information captured by Python, the sentiments of media and social media information were calculated to examine the effect of media and social media sentiments on default probability and cost of capital of peer-to-peer (P2P) lending platforms in China (2015–2019). We find that only positive changes in media and social media sentiment have significantly negative effects on the platform’s default probability and cost of capital, while negative changes in sentiment do not have any effects. We conclude the existence of an asymmetric effect of media and social media sentiments in the Chinese peer-to-peer lending market.
Citation
Kuang, J., Ji, X., Cheng, P., & Kallinterakis, V. B. (2023). Media News and Social Media Information in the Chinese Peer-to-Peer Lending Market. Systems, 11(3), Article 133. https://doi.org/10.3390/systems11030133
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 27, 2023 |
Online Publication Date | Mar 1, 2023 |
Publication Date | 2023 |
Deposit Date | Jun 8, 2023 |
Publicly Available Date | Jun 8, 2023 |
Journal | Systems |
Electronic ISSN | 2079-8954 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 3 |
Article Number | 133 |
DOI | https://doi.org/10.3390/systems11030133 |
Public URL | https://durham-repository.worktribe.com/output/1172563 |
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Publisher Licence URL
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Copyright Statement
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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