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Analysis of local online review systems as digital word-of-mouth

López, C and Farzan, R (2014) Analysis of local online review systems as digital word-of-mouth. In: UNSPECIFIED.

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Abstract

© Copyright 2014 by the International World Wide Web Conferences Steering Committee. Using a large dataset of Yelp's online reviews for local busi- nesses, we investigate how Word-of-Mouth research can in- form the design of local online review systems and how these systems' data can extend our understanding of digital WOM in a local context. In this paper, we analyze how visual cues currently present in Yelp map to WOM concepts. We also show that these concepts are highly related to the perceived usefulness of the local reviews, which is aligned with prior WOM literature. Additionally, we found that local exper- Tise, measured at the level of the neighborhood, strongly correlates with the perceived usefulness of reviews. Our findings augment the understanding of local online WOM and have design implications for local review systems.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
López, C
Farzan, Rrfarzan@pitt.eduRFARZAN
Date: 7 April 2014
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
Page Range: 457 - 462
Event Type: Conference
DOI or Unique Handle: 10.1145/2567948.2576933
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781450327459
Date Deposited: 20 May 2014 15:59
Last Modified: 01 Nov 2017 13:56
URI: http://d-scholarship.pitt.edu/id/eprint/21635

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