A machine learning method for measuring information disclosure in sharing economy platforms

Xin Wei, Wei He, Xi Zhang, Chuang Zhao, Hongke Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Research on e-commerce, social technologies and privacy has overwhelmingly treated information disclosure as a survey-based, subjective, and unidimensional construct. A few studies employing semantic analysis on objective textual data, on the other hand, are constrained by the manual coding method with limited number of categories and thus prone to bias. Building upon the social penetration theory, we introduce an innovative method of measuring information disclosure using machine learning algorithms in the context of sharing economy platforms. We propose that information disclosure should be examined from two dimensions, i.e., breadth and depth, and machine learning techniques could effectively compute the high-volume factual data of information disclosure. Using 1,200 hosts' self-description data in Airbnb as an example, we report the computational and evaluation processes of operationalizing information disclosure. The research thus provides new theoretical lens and empirical support through which information disclosure in digital age could be better understood and efficiently assessed.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems, ICIS 2020 - Making Digital Inclusive
Subtitle of host publicationBlending the Local and the Global
PublisherAssociation for Information Systems
ISBN (Electronic)9781733632553
StatePublished - 2020
Event2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 - Virtual, Online, India
Duration: Dec 13 2020Dec 16 2020

Publication series

NameInternational Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global

Conference

Conference2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020
CountryIndia
CityVirtual, Online
Period12/13/2012/16/20

Keywords

  • Breadth
  • Depth
  • Information disclosure
  • Machine learning
  • Sharing economy platforms
  • Social penetration theory (SPT)

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