Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems 2016
DOI: 10.1145/2851581.2892466
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User Reviews and Language

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 ratin… Show more

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Cited by 12 publications
(6 citation statements)
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“…The results obtained from the analysis of the reviews' quantitative and textual components clearly reveal different behaviors toward online reviews depending on language. These results are in line with the findings of Schuckert et al (2015a), Hale (2016), Pacheco (2016), and Liu et al 2017but extend their results by demonstrating there are differences in the quantitative and qualitative (textual) components.…”
Section: Resultssupporting
confidence: 90%
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“…The results obtained from the analysis of the reviews' quantitative and textual components clearly reveal different behaviors toward online reviews depending on language. These results are in line with the findings of Schuckert et al (2015a), Hale (2016), Pacheco (2016), and Liu et al 2017but extend their results by demonstrating there are differences in the quantitative and qualitative (textual) components.…”
Section: Resultssupporting
confidence: 90%
“…For this reason, and because of the difficulty of processing text in a multitude of languages (Han et al 2016), online reviews in these three languages were selected as the object of this study. By using quantitative and qualitative data from two data sources, two types of hotels, and two distinct regions, this study answers previous studies' call for new research on online reviews with a fusion of data from different sources (Hale 2016;Han et al 2016;Pacheco 2016), different cities (Hale 2016;Han et al 2016;Pacheco 2016;Schuckert et al 2015a), different hotel types (Kim et al 2015), and different languages (Cantallops and Salvi 2014;Schuckert et al 2015a). In summary, this study seeks to answer two main questions: Q1) What is the relationship between the language in which online reviews are written and the ratings for the same hotel type/category?…”
supporting
confidence: 67%
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