Publications

Peer-reviewed articles

• Geissler D, Bär D, Pröllochs N, Feuerriegel S (2023)
  Russian Propaganda on Social Media During the 2022 Invasion of Ukraine
  EPJ Data Science, forthcoming.
• Lutz B, Marc A, Feuerriegel S, Pröllochs N, Neumann D (2023)
  Affective Information Processing of Fake News: Evidence From NeuroIS
  European Journal of Information Systems, forthcoming.
• Robertson C, Pröllochs N, Schwarzenegger K, Parnamets P, Van Bavel J, Feuerriegel S (2023)
  Negativity Drives Online News Consumption
  Nature Human Behaviour, 7, pp. 812 – 822.
• Drolsbach C, Pröllochs N (2023)
  Diffusion of Community Fact-Checked Misinformation on Twitter
  Proceedings of the ACM on Human-Computer Interaction (CSCW), forthcoming
• Pröllochs N, Feuerriegel S (2023)
  Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
  Proceedings of the ACM on Human-Computer Interaction (CSCW), forthcoming
• Solovev K, Pröllochs N (2023)
  Moralized Language Predicts Hate Speech on Social Media
  PNAS Nexus, 2(1), pgac281
• Drolsbach C, Pröllochs N (2023)
  Believability and Harmfulness Shape the Virality of Misleading Social Media Posts
  Proceedings of The Web Conference (WWW ’23)
• Bär D, Pröllochs N, Feuerriegel S (2023)
  New Threats to Society From Free-Speech Social Media Platforms
  Communications of the ACM, forthcoming
• Jakubik J, Vössing M, Bär D, Pröllochs N, Feuerriegel S (2023)
  Online Emotions During the Storming of the US Capitol: Evidence from the Social Media Network Parler
  Proceedings of the International Conference on Web and Social Media (ICWSM ’23)
• Bär D, Pröllochs N, Feuerriegel S (2023)
  Finding Qs: Profiling QAnon Supporters on Parler
  Proceedings of the International Conference on Web and Social Media (ICWSM ’23)
• Solovev K, Pröllochs N (2022)
  Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity
  Proceedings of The Web Conference (WWW ’22) 
• Solovev K, Pröllochs N (2022)
  Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media
  Proceedings of The Web Conference (WWW ’22) 
• Lutz B, Pröllochs N, Neumann D (2022)
  Are Longer Reviews Always More Helpful? Disentangling the Interplay Between Review Length and Line of Argumentation
  Journal of Business Research, 144, pp. 888 – 901.
• Pröllochs N (2022)
  Community-Based Fact-Checking on Twitter’s Birdwatch Platform
  Proceedings of the International Conference on Web and Social Media (ICWSM ’22)
• Pröllochs N, Bär D, Feuerriegel S (2021)
  Emotions Explain Differences in the Diffusion of True vs. False Social Media Rumors
  Scientific Reports, 11, 22721
• Pröllochs N, Bär D, Feuerriegel S (2021)
  Emotions in Online Rumor Diffusion
  EPJ Data Science, 10, 51
• Solovev K, Pröllochs N (2021)
  Integrating Floor Plans into Hedonic Models for Rent Price Appraisal
  Proceedings of The Web Conference (WWW ’21) 
• Feuerriegel S, Pröllochs N (2021)
  Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation
  Decision Sciences, 52 (3), pp. 608 – 628
• Pröllochs N, Feuerriegel S, Lutz B, Neumann D (2020)
  Negation Scope Detection for Sentiment Analysis: A Reinforcement Learning Framework for Replicating Human Interpretations
  Information Sciences, 536, pp. 205 – 221
• Lutz B, Pröllochs N, Neumann D (2020)
  Predicting Sentence-Level Polarity Labels of Financial News Using Abnormal Stock Returns
  Expert Systems with Applications, 148, 113223
• Lutz B, Marc A, Feuerriegel S, Pröllochs N, Neumann D (2020)
  Identifying Linguistic Cues of Fake News Associated with Cognitive and Affective Processing: Evidence from NeuroIS
  Information Systems and Neuroscience, pp. 16 – 23
• Pröllochs N, Feuerriegel S (2020)
  Business Analytics for Strategic Management: Identifying and Assessing Corporate Challenges via Topic Modeling
  Information and Management, 57(1), 103070
• Lutz B, Pröllochs N, Neumann D (2019)
  The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews
  Proceedings of the International Conference on Information Systems (ICIS ’19)
• Pröllochs N, Feuerriegel S, Neumann D (2019)
  Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach
  Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT ’19)
• Lutz B, Marc A, Feuerriegel S, Pröllochs N, Neumann D (2019)
  Affective Information Processing of Fake News: Evidence from NeuroIS
  Information Systems and Neuroscience, pp. 121 – 128
• Pröllochs N, Feuerriegel S (2019)
  ReinforcementLearning: A Package to Perform Model-Free Reinforcement Learning in R
  Journal of Open Source Software, 4(38), 1087
• Lutz B, Pröllochs N, Neumann D (2019)
  Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning
  Proceedings of the Hawaii International Conference on System Sciences (HICSS ’19)
• Lutz B, Pröllochs N, Neumann D (2018)
  Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective
  Proceedings of the International Conference on Information Systems (ICIS ’18)
• Pröllochs N, Feuerriegel S, Neumann D (2018)
  Statistical Inferences for Polarity Identification in Natural Language
  PLOS One, 13(12), e0209323
• Hannemann F, Pröllochs N, Alfano S, Neumann D (2018)
  Noise Trader Behavior – A Disaggregated Approach to News Reception and Processing in Financial Markets
  Proceedings of the European Conference on Information Systems (ECIS ’18)
• Pröllochs N, Adam M, Feuerriegel S, Neumann D (2018)
  Information Processing of Financial News: The Role of Cognitive Dissonance and Information Avoidance
  Proceedings of the European Conference on Information Systems (ECIS ’18)
• Lutz B, Pröllochs N, Neumann D (2017)
  Understanding the Role of Social Media in the Assessment of Retailer-Hosted Consumer Reviews
  Proceedings of the Australasian Conference on Information Systems (ACIS ’17)
• Alfano S, Pröllochs N, Märkle-Huß J, Feuerriegel S, Neumann D (2017)
  Setting the Right Tone: How Data Science Enables Investor Communication to Choose the Right Language
  Proceedings of the Internationale Tagung Wirtschaftsinformatik (WI ’17)
• Pröllochs N, Feuerriegel S, Neumann D (2016)
  Negation Scope Detection in Sentiment Analysis: Decision Support for News-Driven Trading
  Decision Support Systems, 88(1), pp. 67 – 75
• Pröllochs N, Feuerriegel S, Neumann D (2016)
  Is Human Information Processing Affected by Emotional Content? Understanding The Role of Facts and Emotions in the Stock Market
  Proceedings of the International Conference on Information Systems (ICIS ’16)
• Alfano S, Rapp M, Pröllochs N, Feuerriegel S, Neumann D (2016)
  Driven by News Tone? Understanding Information Processing When Covariates are Unknown: The Case of Natural Gas Price Movements
  Proceedings of the Multikonferenz Wirtschaftsinformatik (MKWI ’16)
• Pröllochs N, Feuerriegel S, Neumann D (2016)
  Detecting Negation Scopes for Financial News Sentiment Using Reinforcement Learning
  Proceedings of the Hawaii International Conference on System Sciences (HICSS ’16), Best Paper Award
• Pröllochs N, Feuerriegel S, Neumann D (2015)
  Generating Domain-Specific Dictionaries Using Bayesian Learning
  Proceedings of the European Conference on Information Systems (ECIS ’15)
• Pröllochs N, Feuerriegel S, Neumann D (2015)
  Enhancing Sentiment Analysis of Financial News by Detecting Negation Scopes
  Proceedings of the Hawaii International Conference on System Sciences (HICSS ’15), Nominated for the Best Paper Award