TY - GEN
T1 - Does Culture Matter? Impact of Individualism and Uncertainty Avoidance on App Reviews
AU - Fischer, R.A.-L.
AU - Walczuch, R.
AU - Guzman, E.
PY - 2021/5/25
Y1 - 2021/5/25
N2 - Mobile applications are often used by an international audience and therefore receive a high daily amount of user reviews from various countries. Previous work found evidence that app store reviews contain helpful information for software evolution processes. However, the cultural diversity of the reviews and its consequences on specific user feedback characteristics has only been researched to a limited extent so far. In this paper, we examine the influence of two cultural dimensions, Individualism and Uncertainty Avoidance on user feedback in Apple app store reviews written in different languages. For this purpose, we collected 647,141 reviews from eight countries and written in five languages over a period of six months. We then used manual content analysis and automated processing to examine a sample of 3,120 reviews. The results show that there is a statistically significant influence of Individualism and Uncertainty Avoidance on user feedback characteristics. The results of this study will help researchers and practitioners to reduce algorithm bias caused by less diversified training and test data and to raise awareness of the importance of analyzing diversified user feedback.
AB - Mobile applications are often used by an international audience and therefore receive a high daily amount of user reviews from various countries. Previous work found evidence that app store reviews contain helpful information for software evolution processes. However, the cultural diversity of the reviews and its consequences on specific user feedback characteristics has only been researched to a limited extent so far. In this paper, we examine the influence of two cultural dimensions, Individualism and Uncertainty Avoidance on user feedback in Apple app store reviews written in different languages. For this purpose, we collected 647,141 reviews from eight countries and written in five languages over a period of six months. We then used manual content analysis and automated processing to examine a sample of 3,120 reviews. The results show that there is a statistically significant influence of Individualism and Uncertainty Avoidance on user feedback characteristics. The results of this study will help researchers and practitioners to reduce algorithm bias caused by less diversified training and test data and to raise awareness of the importance of analyzing diversified user feedback.
UR - https://www.scopus.com/pages/publications/85112864484
UR - https://www.scopus.com/inward/citedby.url?scp=85112864484&partnerID=8YFLogxK
U2 - 10.1109/ICSE-SEIS52602.2021.00016
DO - 10.1109/ICSE-SEIS52602.2021.00016
M3 - Conference contribution
T3 - Proceedings - International Conference on Software Engineering
SP - 67
EP - 76
BT - 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)
PB - IEEE Computer Society
T2 - 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, ICSE-SEIS 2021
Y2 - 25 May 2021 through 28 May 2021
ER -
