Posts and reviews in P2P online lending platforms: a sentiment analysis and cross-culture comparison

Ming Wang, Ge Zhan, Kin Keung Lai, Liangbo Zhang and Lu Meng

Behaviour and Information Technology, 2022, vol. 41, issue 16, 3591-3597

Abstract: P2P online lending platforms have been developing rapidly worldwide in recent years. This study seeks to explain platform users’ behaviour in different cultures. Specifically, this research aims to investigate the sentiment polarity of the posts in P2P online lending platforms and how it influences the quantity and quality of user reviews. Over 3000 online posts were collected from large online platforms in China and U.S. The findings indicate that in U.S. P2P online lending platforms, there are more reviews for negative-sentiment posts than those for positive-sentiment posts. In a collective culture such as China, there are more reviews in P2P online lending platforms for positive-sentiment posts, and platform participants tend to post strong sentiment information.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.2005679 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:16:p:3591-3597

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2021.2005679

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().