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

no code implementations • 2 Dec 2023 • Bernhard Lutz, Marc Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann

However, little is known about what linguistic cues make people fall for fake news and, hence, how to design effective countermeasures for social media.

Heart Rate Variability

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

no code implementations • 10 Sep 2019 • Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

In this paper, we propose that longer reviews should not be assumed to be uniformly more helpful; instead, we argue that the effect depends on the line of argumentation in the review text.

Decision Making Sentence

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

no code implementations • 31 Dec 2018 • Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Our analysis of a manually-labeled dataset yields a predictive accuracy of up to 69. 90%, exceeding the performance of alternative approaches by at least 3. 80 percentage points.

Decision Making Sentence +1

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

no code implementations • 25 Oct 2018 • Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

This paper examines the effect of two-sided argumentation on the perceived helpfulness of online consumer reviews.