Psychological distancing and language intensity in Peer‐to‐Peer lending

Published date01 July 2023
AuthorJin Huang,Jun Li,Vania Sena
Date01 July 2023
DOIhttp://doi.org/10.1111/joca.12535
RESEARCH ARTICLE
Psychological distancing and language intensity
in Peer-to-Peer lending
Jin Huang
1
| Jun Li
2
| Vania Sena
3
1
School of Intelligent Finance and
Business, Xi'an Jiaotong-Liverpool
University, Suzhou, China
2
Huddersfield Business School,
University of Huddersfield,
Huddersfield, UK
3
Management School, University of
Sheffield, Sheffield, UK
Correspondence
Jin Huang, School of Intelligent Finance
and Business, Xi'an Jiaotong Liverpool
University, Suzhou, China.
Email: jin.huang02@xjtlu.edu.cn
Abstract
Peer-to-peer (P2P) lending is referred to as lending
money to unknown borrowers directly through online
platforms without using traditional financial intermedi-
aries. We leverage insights from the literature on psy-
chological distancing and affective intensity to argue
that linguistic styles, as the manifestation of social psy-
chological distance, have a negative impact on P2P
funding success. Testing our arguments with data from
a major Chinese P2P platform, we find that using too
many youand negations (proxies for social psycho-
logical distance) in the borrower's description will
dampen a lender's willingness to support a funding
campaign. Moreover, when the social psychological dis-
tance is large, language intensity can be perceived as
desperate, making a lender even less willing to support
the funding campaign. Our research shed new light on
the role of language in P2P funding success and has
practical implications for lenders, borrowers and regu-
lators in overcoming barriers in P2P lending.
KEYWORDS
language intensity, P2P lending, social psychological distance
1|INTRODUCTION
Peer-to-peer (P2P) lending transactions are defined as lending money to strangers directly
through online platforms without traditional financial intermediaries such as banks (Ge
Received: 21 March 2022 Revised: 30 January 2023 Accepted: 8 April 2023
DOI: 10.1111/joca.12535
Copyright 2023 by The American Council on Consumer Interests.
J Consum Aff. 2023;57:12811303. wileyonlinelibrary.com/journal/joca 1281
et al., 2017). Lending platforms can operate at a lower cost than other financial institutions, so
they can pass the saving on to lenders through high returns and to borrowers through low inter-
est rates. These loans are unsecured, unlike traditional financial institutions that rely heavily
on collateral (Huang et al., 2021). This feature of P2P platforms is particularly attractive to bor-
rowers who cannot provide collateral, but it may make lenders unlikely to be compensated in
the event of default. P2P lending is also called debt-based crowdfunding
1
because each lender
only contributes to a part of the total loans (Nisar et al., 2020). Other types of crowdfunding
include reward and equity-based crowdfunding. More than $78 billion in loans are facilitated
by the two leading US P2P platforms, Prosper and Lending Club. There are around 6600 plat-
forms in China, and the total amount of P2P loans is 9 trillion RMB as of 2021 (Xu
et al., 2022). As a result, P2P lending has become an essential source of funds for consumers
and entrepreneurs (Herzenstein, Dholakia, & Andrews, 2011; Huang et al., 2021; Lin
et al., 2013; Parhankangas & Renko, 2017). Given the huge amount of P2P loans transacted
each year, P2P lending deserves attention from both researchers and practitioners.
Information asymmetry is the main source of financial risk in P2P lending (Ge et al., 2017).
Information asymmetry in the P2P context means that borrowers have an information advan-
tage over lenders and lenders need to make decisions under incomplete information. To reduce
information asymmetry, borrowers are encouraged to communicate directly with lenders. Since
P2P lending takes place in online settings, borrowers can only communicate their projects'
financial soundnessto potential lenders in written form. Unlike offline interactions in which
non-verbal cues matter, in online interactions, borrowers' use of language is essential. The
crowdfunding literature has investigated the association between language and funding out-
comes in different settings, including reward-based crowdfunding (Anglin et al., 2018;
Parhankangas & Renko, 2017), equity-based crowdfunding (Block et al., 2018) and P2P lending
(Allison et al., 2013; Herzenstein, Sonenshein, & Dholakia, 2011; Majumdar & Bose, 2018).
Studies have found the vital role of language in framing the signals of the creditworthiness of
funding applicants and the financial soundness of projects in P2P lending (Anglin et al., 2018;
Dorfleitner et al., 2016; Huang et al., 2021). However, these studies have primarily focused on
using language in the context of project descriptions to mitigate information asymmetry and its
resulting risks.
The use of language in P2P lending platforms also involves using various linguistic styles
that can induce emotional connection and reduce the social psychological distance between
borrowers and lenders, which should increase the likelihood of funding success. Linguistic
styles include auxiliary verbs, prepositions, conjunctions, pronouns and negations (Tausczik &
Pennebaker, 2010; Toma & D'Angelo, 2015). Style words account for 55% of the total words we
typically use, although they only represent 0.04% of all words (Pennebaker, 2011; Tausczik &
Pennebaker, 2010). The use of style words can connect readers with the social and psychological
worlds of the message's author (Parhankangas & Renko, 2017; Tausczik & Pennebaker, 2010).
Comparatively speaking, the role of language in this respect is less well understood, and
research in this area is significantly underdeveloped. To fill this gap, this study examines the
effect of social psychological distance, which stems from the use of style words, on funding suc-
cess. Social psychological distance is defined as people's perception of the degree of distance
between things and objects and the self.
Trope and Liberman (2010) have identified four dimensions of psychological distance,
including spatial distance (i.e., close location vs. location far away), social distance (i.e., friend
vs. stranger), temporal distance (i.e., tomorrow vs. next year) and probabilistic distance (i.e., less
likely to occur vs. closer to certainty). We focus on social psychological distance for the
1282 HUANG ET AL.

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