With a taxonomy of six key categories, this research not only identifies inclusiveness issues but also presents a classifier for automatic detection.

Explore the nuanced landscape of inclusiveness in popular software apps.

Learn the effectiveness of 5 Large Language Models in automatically identifying inclusiveness-related user feedback on Reddit, Google Play store, and Twitter

Dive into the intricate world of inclusiveness as perceived across diverse user feedback sources—Reddit, Google Play Store, and Twitter.

Explore the nuanced landscape of inclusiveness concerns across various software types, from social media to financial apps.

Explore inclusiveness through a taxonomy that unveils 6 major categories and associated sub-categories derived from over 1,200 user feedback posts

Explore the methodological intricacies of decoding inclusiveness in software through a robust study that merges qualitative analysis with cutting-edge ML models

Through an exploration of existing literature, this article reveals insights into user feedback, emphasizing its role in continuous software improvement.

This study emphasizes the importance of understanding inclusiveness-related concerns for designing software that caters to a diverse audience.

Interrogate inclusiveness in software through a comprehensive analysis of user feedback from 50 top apps on Reddit, Google Play Store, and Twitter.