most citedA Bibliometric Analysis of Trust in Conversational Agents over the Past Fifteen Years

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2025

A Detailed Study on LLM Biases Concerning Corporate Social Responsibility and Green Supply Chains

Greta Ontrup, Annika Bush, Markus Pauly +1

Organizations increasingly use Large Language Models (LLMs) to improve supply chain processes and reduce environmental impacts. However, LLMs have been shown to reproduce biases re…

cs.HC2025

Campus AI vs. Commercial AI: Comparing How Students and Employees Perceive their University's LLM Chatbot vs. ChatGPT

Leon Hannig, Annika Bush, Meltem Aksoy +3

As the use of LLM chatbots by students and researchers becomes more prevalent, universities are pressed to develop AI strategies. One strategy that many universities pursue is to c…

cs.SE2025

Fine-Tuning Multilingual Language Models for Code Review: An Empirical Study on Industrial C# Projects

Igli Begolli, Meltem Aksoy, Daniel Neider

Code review is essential for maintaining software quality but often time-consuming and cognitively demanding, especially in industrial environments. Recent advancements in language…

cs.CY2025

Campus AI vs Commercial AI: A Late-Breaking Study on How LLM As-A-Service Customizations Shape Trust and Usage Patterns

Leon Hannig, Annika Bush, Meltem Aksoy +2

As the use of Large Language Models (LLMs) by students, lecturers and researchers becomes more prevalent, universities - like other organizations - are pressed to develop coherent…

cs.CY2025

Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI

Annika Bush, Meltem Aksoy, Markus Pauly +1

As organizations increasingly rely on AI systems for decision support in sustainability contexts, it becomes critical to understand the inherent biases and perspectives embedded in…

cs.CL2024

Whose Morality Do They Speak? Unraveling Cultural Bias in Multilingual Language Models

Meltem Aksoy

Large language models (LLMs) have become integral tools in diverse domains, yet their moral reasoning capabilities across cultural and linguistic contexts remain underexplored. Thi…

cs.HC2024★ 1 cited

A Bibliometric Analysis of Trust in Conversational Agents over the Past Fifteen Years

Meltem Aksoy, Annika Bush

Conversational agents (CA) have become increasingly prevalent in various domains, driving significant interest in understanding the dynamics of trust in CA. This study addresses th…