Nicolas Pröllochs

Professor of Data Science at JLU Giessen

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Publications

Peer-reviewed articles

  • Reiss M, Adler S, Barrie C, Berkessel J, Breuer J, Brodeur A, Christensen G, Dienlin T, Freese J, Greiner B, Haim M, Hardwicke T, Johannesson M, King G, Kreuter F, Lucas C, Martinovici A, Pérignon C, Sarstedt M, Schönbrodt F, Urminsky O, van Atteveldt W, Vazire S, Vilhuber L, von Wangenheim F, Wagenmakers E, Pröllochs N, Robertson C, Holzmeister F, Feuerriegel S, Roggenkamp H (2026)
    Improving Computational Reproducibility in the Social Sciences
    Nature Human Behaviour, forthcoming.
  • Drolsbach C, Demirel E, Pröllochs N (2027)
    Characterizing AI-Generated Misinformation on Social Media
    Proceedings of the International Conference on Web and Social Media (ICWSM ’27)
  • Chuai Y, Pilarski M, Renault T, Restrepo-Amariles D, Troussel-Clément A, Lenzini G, Pröllochs N (2026)
    Community-Based Fact-Checking Reduces the Spread of Misleading Posts on X
    Nature Communications, 17, 4070.
  • Solovev K, Drolsbach C, Demirel E, Pröllochs N (2026)
    Engagement with Political Videos on TikTok During the 2025 German Federal Election
    EPJ Data Science, 15, 29.
  • Bobek M, Pröllochs N (2026)
    Community Fact-Checks Do Not Break Follower Loyalty
    Proceedings of the Web Conference (WWW ’26)
  • Chuai Y, Lenzini G, Pröllochs N (2026)
    Consensus Stability of Community Notes on X
    Proceedings of the Web Conference (WWW ’26)
  • 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)
  • Bär D, Pröllochs N, Feuerriegel S (2025)
    The Role of Social Media Ads for Election Outcomes: Evidence From the 2021 German Election
    PNAS Nexus, 4(3), pgaf073.
  • 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.
  • Solovev K, Pröllochs N (2025)
    References to Unbiased Sources Increase the Helpfulness of Community Fact-Checks
    Scientific Reports, 15, 25749.
  • 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)
  • 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 (> 200,000 downloads) can be found here

Datasets

Datasets and further resources can be found here

Teaching Materials

Teaching materials can be found here
©2026 Nicolas Pröllochs