López, C and Farzan, R
(2014)
Analysis of local online review systems as digital word-of-mouth.
In: UNSPECIFIED.
Abstract
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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| Item Type: |
Conference or Workshop Item
(UNSPECIFIED)
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| Status: |
Published |
| Creators/Authors: |
|
| 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: |
30 Mar 2021 10:55 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/21635 |
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