Generating Domain-Specific Dictionaries using Bayesian Learning. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (ECIS, 2015)

Enhancing Sentiment Analysis of Financial News by Detecting Negation Scopes. - Nicolas Prollochs; Stefan Feuerriegel; Dirk Neumann 001 (HICSS, 2015)

Detecting Negation Scopes for Financial News Sentiment Using Reinforcement Learning. - Nicolas Prollochs; Stefan Feuerriegel; Dirk Neumann 001 (HICSS, 2016)

Is Human Information Processing Affected by Emotional Content? Understanding The Role of Facts and Emotions in the Stock Market. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (ICIS, 2016)

Driven by News Tone? Understanding Information Processing when Covariates are Unknown: The Case of Natural Gas Price Movements. - Simon Jonas Alfano; Max Rapp; Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (MKWI, 2016)

Negation scope detection in sentiment analysis: Decision support for news-driven trading. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (Decis. Support Syst., 2016)

Understanding the Role of Social Media in the Assessment of Retailer-Hosted Consumer Reviews. - Bernhard Lutz; Nicolas Pröllochs; Dirk Neumann 001 (ACIS, 2017)

Setting the Right Tone: How Data Science Enables Investor Communication to Choose the Right Language. - Simon Jonas Alfano; Nicolas Pröllochs; Joscha Märkle-Huss; Stefan Feuerriegel; Dirk Neumann 001 (Wirtschaftsinformatik, 2017)

Understanding Negations in Information Processing: Learning from Replicating Human Behavior. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (CoRR, 2017)

Language That Matters: Statistical Inferences for Polarity Identification in Natural Language. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (CoRR, 2017)

Understanding human language reception: a data-driven approach. - Nicolas Pröllochs (2017)

Noise Trader Behavior - A Disaggregated Approach to Understanding News Reception in Financial Markets. - Felix Hannemann; Nicolas Pröllochs; Simon Alfano; Dirk Neumann 001 (ECIS, 2018)

Information Processing of Financial News: The Role of Cognitive Dissonance and Information Avoidance. - Nicolas Pröllochs; Marc T. P. Adam; Stefan Feuerriegel; Dirk Neumann 001 (ECIS, 2018)

Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective. - Bernhard Lutz; Nicolas Pröllochs; Dirk Neumann 001 (ICIS, 2018)

Reinforcement Learning in R. - Nicolas Pröllochs; Stefan Feuerriegel (CoRR, 2018)

Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning. - Bernhard Lutz; Nicolas Pröllochs; Dirk Neumann 001 (HICSS, 2019)

The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews. - Bernhard Lutz; Nicolas Pröllochs; Dirk Neumann 001 (ICIS, 2019)

Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (NAACL-HLT (1), 2019)

ReinforcementLearning: A Package to Perform Model-Free Reinforcement Learning in R. - Nicolas Pröllochs; Stefan Feuerriegel (J. Open Source Softw., 2019)

Predicting sentence-level polarity labels of financial news using abnormal stock returns. - Bernhard Lutz; Nicolas Pröllochs; Dirk Neumann 001 (Expert Syst. Appl., 2020)

Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling. - Nicolas Pröllochs; Stefan Feuerriegel (Inf. Manag., 2020)

Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations. - Nicolas Pröllochs; Stefan Feuerriegel; Bernhard Lutz; Dirk Neumann 001 (Inf. Sci., 2020)

Integrating Floor Plans into Hedonic Models for Rent Price Appraisal. - Kirill Solovev; Nicolas Pröllochs (WWW, 2021)

Investor Reaction to Financial Disclosures across Topics: An Application of Latent Dirichlet Allocation. - Stefan Feuerriegel; Nicolas Pröllochs (Decis. Sci., 2021)

Emotions in online rumor diffusion. - Nicolas Pröllochs; Dominik Bär; Stefan Feuerriegel (EPJ Data Sci., 2021)

Novel insights from the Plasmodium falciparum sporozoite-specific proteome by probabilistic integration of 26 studies. - Lisette Meerstein-Kessel; Jeron Venhuizen; Daniel Garza; Nicolas Pröllochs; Emma J. Vos; Joshua M. Obiero; Philip L. Felgner; Robert W. Sauerwein; Marynthe Peters; Annie S. P. Yang; Martijn A. Huynen (PLoS Comput. Biol., 2021)

Community-Based Fact-Checking on Twitter's Birdwatch Platform. - Nicolas Pröllochs (ICWSM, 2022)

Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity. - Kirill Solovev; Nicolas Pröllochs (WWW, 2022)

Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media. - Kirill Solovev; Nicolas Pröllochs (WWW, 2022)

Mechanisms of True and False Rumor Sharing in Social Media: Wisdom-of-Crowds or Herd Behavior? - Nicolas Pröllochs; Stefan Feuerriegel (CoRR, 2022)

Finding Qs: Profiling QAnon Supporters on Parler. - Dominik Bär; Nicolas Pröllochs; Stefan Feuerriegel (ICWSM, 2023)

Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. - Johannes Jakubik; Michael Vössing; Nicolas Pröllochs; Dominik Bär; Stefan Feuerriegel (ICWSM, 2023)

Believability and Harmfulness Shape the Virality of Misleading Social Media Posts. - Chiara Patricia Drolsbach; Nicolas Pröllochs (WWW, 2023)

The Roll-Out of Community Notes Did Not Reduce Engagement With Misinformation on Twitter. - Yuwei Chuai; Haoye Tian; Nicolas Pröllochs; Gabriele Lenzini (CoRR, 2023)

Political Elites in False Statements on the Internet. - Yuwei Chuai; Jichang Zhao; Nicolas Pröllochs; Gabriele Lenzini (CoRR, 2023)

Diffusion of Community Fact-Checked Misinformation on Twitter. - Chiara Patricia Drolsbach; Nicolas Pröllochs (Proc. ACM Hum. Comput. Interact., 2023)

Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior? - Nicolas Pröllochs; Stefan Feuerriegel (Proc. ACM Hum. Comput. Interact., 2023)

New Threats to Society from Free-Speech Social Media Platforms. - Dominik Bär; Nicolas Pröllochs; Stefan Feuerriegel (Commun. ACM, 2023)

Russian propaganda on social media during the 2022 invasion of Ukraine. - Dominique Geissler; Dominik Bär; Nicolas Pröllochs; Stefan Feuerriegel (EPJ Data Sci., 2023)

Community Notes vs. Snoping: How the Crowd Selects Fact-Checking Targets on Social Media. - Moritz Pilarski; Kirill Solovev; Nicolas Pröllochs (ICWSM, 2024)

Content Moderation on Social Media in the EU: Insights From the DSA Transparency Database. - Chiara Patricia Drolsbach; Nicolas Pröllochs (WWW (Companion Volume), 2024)

Community-based fact-checking reduces the spread of misleading posts on social media. - Yuwei Chuai; Moritz Pilarski; Thomas Renault; David Restrepo Amariles; Aurore Clément Troussel; Gabriele Lenzini; Nicolas Pröllochs (CoRR, 2024)

Did the Roll-Out of Community Notes Reduce Engagement With Misinformation on X/Twitter? - Yuwei Chuai; Haoye Tian; Nicolas Pröllochs; Gabriele Lenzini (Proc. ACM Hum. Comput. Interact., 2024)

Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing. - Bernhard Lutz; Marc T. P. Adam; Stefan Feuerriegel; Nicolas Pröllochs; Dirk Neumann 001 (Proc. ACM Hum. Comput. Interact., 2024)

The Virality of Hate Speech on Social Media. - Abdurahman Maarouf; Nicolas Pröllochs; Stefan Feuerriegel (Proc. ACM Hum. Comput. Interact., 2024)

Affective information processing of fake news: evidence from NeuroIS. - Bernhard Lutz; Marc T. P. Adam; Stefan Feuerriegel; Nicolas Pröllochs; Dirk Neumann 001 (Eur. J. Inf. Syst., 2024)

Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Media. - Yuwei Chuai; Anastasia Sergeeva; Gabriele Lenzini; Nicolas Pröllochs (CHI, 2025)

Is Fact-Checking Politically Neutral? Asymmetries in How U.S. Fact-Checking Organizations Pick Up False Statements Mentioning Political Elites. - Yuwei Chuai; Jichang Zhao; Nicolas Pröllochs; Gabriele Lenzini (ICWSM, 2025)

A fused large language model for predicting startup success. - Abdurahman Maarouf; Stefan Feuerriegel; Nicolas Pröllochs (Eur. J. Oper. Res., 2025)

References to unbiased sources increase the helpfulness of community fact-checks. - Kirill Solovev; Nicolas Pröllochs (CoRR, 2025)

Community Fact-Checks Do Not Break Follower Loyalty. - Michelle Bobek; Nicolas Pröllochs (CoRR, 2025)

Characterizing AI-Generated Misinformation on Social Media. - Chiara Drolsbach; Nicolas Pröllochs (CoRR, 2025)