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Lecture Notes in Computer Science
We analyze empirical data of Germany's largest online social lending platform Smava.de to exemplarily study the contribution of unstructured, ambiguous, or unverified information to trust building in online communities. After controlling for the influence of hard information, we find that textual statements that appeal to social behavior actually affect trust building. However, the evidence is less clear for voluntarily disclosed personal data. Lenders generally seem to give more weight to harddoi:10.1007/978-3-642-13869-0_28 fatcat:epgyck6635auxpd2iagnhtgbzq