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Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms

Dorfleitner, Gregor ; Priberny, Christopher ; Schuster, Stephanie ; Stoiber, Johannes ; Weber, Martina ; de Castro, Ivan ; Kammler, Julia



Abstract

We examine the relation of soft factors that are derived from the description texts to the probability of successful funding and to the default probability in peer-to-peer lending for two leading European platforms. We find that spelling errors, text length and the mentioning of positive emotion evoking keywords predict the funding probability on the less restrictive of both platforms, which even ...

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