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User Reviews and Language: How Language Influences Ratings

Abstract:
The number of user reviews of tourist attractions, restaurants, mobile apps, etc. is increasing for all languages; yet, research is lacking on how reviews in multiple languages should be aggregated and displayed. Speakers of different languages may have consistently different experiences, e.g., different information available in different languages at tourist attractions or different user experiences with software due to internationalization/localization choices. This paper assesses the similarity in the ratings given by speakers of different languages to London tourist attractions on TripAdvisor. The correlations between different languages are generally high, but some language pairs are more correlated than others. The results question the common practice of computing average ratings from reviews in many languages.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/2851581.2892466

Authors

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author


Publisher:
Association for Computing Machinery
Host title:
CHI EA 16: CHI Conference Extended Abstracts on Human Factors in Computing Systems
Journal:
CHI EA '16 More from this journal
Pages:
1208-1214
Publication date:
2016-05-07
Acceptance date:
2016-02-08
DOI:
ISBN:
9781450340823


Pubs id:
pubs:627564
UUID:
uuid:0cbbbd8a-989d-4803-b111-2fd5ad9f88a0
Local pid:
pubs:627564
Source identifiers:
627564
Deposit date:
2016-06-12
ARK identifier:

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