Nicolas Pröllochs

Professor of Data Science at JLU Giessen

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Publications

Peer-reviewed articles

  • Bär D, Pröllochs N, Feuerriegel S (2025)
    The Role of Social Media Ads for Election Outcomes: Evidence From the 2021 German Election
    PNAS Nexus, forthcoming.
  • Chuai Y, Sergeeva A, Lenzini G, Pröllochs N (2025)
    Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Media
    Proceedings of the Conference on Human Factors in Computing Systems (CHI ’25), forthcoming.
  • Feuerriegel S, Maarouf A, Bär D, Geissler D, Schweisthal J, Pröllochs N, Robertson C, Rathje S, Hartmann J, Mohammad S, Netzer O, Siegel A, Plank B, Van Bavel J (2025)
    Using Natural Language Processing to Analyse Text Data in Behavioural Science
    Nature Reviews Psychology, 4, pp. 96 – 111.
  • Chuai Y, Zhao J, Pröllochs N, Lenzini G (2025)
    Is Fact-Checking Politically Neutral? Asymmetries in How U.S. Fact-Checking Organizations Pick Up False Statements Mentioning Political Elites
    Proceedings of the International Conference on Web and Social Media (ICWSM ’25), forthcoming.
  • Maarouf A, Feuerriegel S, Pröllochs N (2025)
    A Fused Large Language Model for Predicting Startup Success
    European Journal of Operational Research, 322(1), pp. 198-214.
  • Drolsbach C, Solovev K, Pröllochs N (2024)
    Community Notes Increase Trust in Fact-Checking on Social Media
    PNAS Nexus, 3(7), pgae217
  • Chuai Y, Tian H, Pröllochs N, Lenzini G (2024)
    Did the Roll-Out of Community Notes Reduce Engagement With Misinformation on X/Twitter?
    Proceedings of the ACM on Human-Computer Interaction (CSCW)
  • Pilarski M, Solovev K, Pröllochs N (2024)
    Community Notes vs. Snoping: How the Crowd Selects Fact-Checking Targets on Social Media
    Proceedings of the International Conference on Web and Social Media (ICWSM ’24)
  • Drolsbach C, Pröllochs N (2024)
    Content Moderation on Social Media in the EU: Insights From the DSA Transparency Database
    WWW Companion
  • Lutz B, Marc A, Feuerriegel S, Pröllochs N, Neumann D (2024)
    Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing
    Proceedings of the ACM on Human-Computer Interaction (CSCW)
  • Maarouf A, Pröllochs N, Feuerriegel S (2024)
    The Virality of Hate Speech on Social Media
    Proceedings of the ACM on Human-Computer Interaction (CSCW)
  • Lutz B, Marc A, Feuerriegel S, Pröllochs N, Neumann D (2024)
    Affective Information Processing of Fake News: Evidence From NeuroIS
    European Journal of Information Systems, 33(5), pp. 654 – 673.
  • Feuerriegel S, DiResta R, Goldstein J, Kumar S, Lorenz-Spreen P, Tomz M, Pröllochs N (2023)
    Research Can Help to Tackle AI-Generated Disinformation
    Nature Human Behaviour, 7, pp. 1818 – 1821.
  • Geissler D, Bär D, Pröllochs N, Feuerriegel S (2023)
    Russian Propaganda on Social Media During the 2022 Invasion of Ukraine
    EPJ Data Science, 12, 35.
  • 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)
  • 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)
  • 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, 66(10), pp. 37 – 40
  • 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

Nicolas Pröllochs

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R-Packages

R-packages (> 150,000 downloads) can be found here

Datasets

Datasets and further resources can be found here

Teaching Materials

Teaching materials can be found here
©2025 Nicolas Pröllochs