activity
20182025
most citedUnderstanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective

3 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2025★ 1 cited

Persuasive or Neutral? A Field Experiment on Generative AI in Online Travel Planning

Lynna Jirpongopas, Bernhard Lutz, Jörg Ebner +2

Generative AI (GenAI) offers new opportunities for customer support in online travel agencies, yet little is known about how its design influences user engagement, purchase behavio…

cs.LG2025

Integrating Human Knowledge Through Action Masking in Reinforcement Learning for Operations Research

Mirko Stappert, Bernhard Lutz, Niklas Goby +1

Reinforcement learning (RL) provides a powerful method to address problems in operations research. However, its real-world application often fails due to a lack of user acceptance…

cs.LG2025

Solving the Paint Shop Problem with Flexible Management of Multi-Lane Buffers Using Reinforcement Learning and Action Masking

Mirko Stappert, Bernhard Lutz, Janis Brammer +1

In the paint shop problem, an unordered incoming sequence of cars assigned to different colors has to be reshuffled with the objective of minimizing the number of color changes. To…

cs.CL2023

Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing

Bernhard Lutz, Marc Adam, Stefan Feuerriegel +2

Fake news on social media has large, negative implications for society. However, little is known about what linguistic cues make people fall for fake news and, hence, how to design…

cs.CL2019★ 1 cited

The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Review helpfulness serves as focal point in understanding customers' purchase decision-making process on online retailer platforms. An overwhelming majority of previous works find…

cs.IR2018

Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Researchers and financial professionals require robust computerized tools that allow users to rapidly operationalize and assess the semantic textual content in financial news. Howe…

cs.CL2018★ 3 cited

Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

This paper examines the effect of two-sided argumentation on the perceived helpfulness of online consumer reviews. In contrast to previous works, our analysis thereby sheds light o…