  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.
