When people share experiences online, they often express thoughts in two ways: a star rating and a written review. In sentiment analysis, ratings are widely used as convenient weak labels for textual sentiment, yet whether the two actually agree is rarely questioned.
arXiv:2601. 05261v2 Announce Type: replace-cross Abstract: Online consumer reviews are important decision-support resources in e-commerce, yet the increasing volume of reviews often creates information overload and makes it difficult for users to identify content that matches their individual preferences.
By Muhammad Jawad Mufti, Omar Hammad, MD. Mahfuzur Rahman
The study analyzes 17,012 app‑store reviews for six major generative‑AI apps, using BERTopic and RoBERTa to uncover topics and sentiment. Negative sentiment is most common around advertising, authentication, server reliability, and subscription pricing, with significant differences across apps—Claude shows the highest negative sentiment yet a highly enthusiastic user base. The authors also note geopolitical and privacy concerns for DeepSeek and propose a Trust Friction Score to quantify trust and usability barriers.
By Md Jafrin Hossain, Umme Nusrat Jahan, Shouvaggo Sharif Shammo
arXiv:2609.40241v1 Announce Type: cross
Abstract: Large language models (LLMs) have shown promise for recommendation reranking, but their use introduces an important tradeoff between recommendation q...
By Hanjia Lyu, Yinglong Xia
The paper introduces Vocalizer, a mobile app that lets users submit spoken online reviews enhanced by a large language model. A longitudinal study shows that users often use the AI to add detail and that interactive AI features boost confidence and willingness to share reviews. The authors also outline the benefits and challenges of embedding AI assistance in review-writing systems.
By Kavindu Perera, D\'aniel Szab\'o, Niels van Berkel, Aku Visuri, Chi-Lan Yang, Koji Yatani, Simo Hosio
arXiv:2608.22859v1 Announce Type: cross
Abstract: RAG systems are increasingly used to summarize what large collections of documents say. A user asks "What do people think about X?" and receives an a...
By Aman Singh Thakur, Aditya Agrawal, Alwarappan Nakkiran, Alex Karlsson