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Nicolas Pröllochs
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Negativity drives online news consumption
CE Robertson, N Pröllochs, K Schwarzenegger, P Pärnamets, ...
Nature Human Behaviour 7 (5), 812-822, 2023
1132023
Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling
N Pröllochs, S Feuerriegel
Information & Management 57 (1), 103070, 2020
1062020
SentimentAnalysis: Dictionary-based sentiment analysis. R package version 1.3-2
S Feuerriegel, N Pröllochs
Comprehensive R Archive Network (CRAN), 2018
76*2018
Negation scope detection in sentiment analysis: Decision support for news-driven trading
N Pröllochs, S Feuerriegel, D Neumann
Decision Support Systems 88, 67-75, 2016
672016
Enhancing sentiment analysis of financial news by detecting negation scopes
N Pröllochs, S Feuerriegel, D Neumann
Proceedings of the 48th Hawaii International Conference on System Sciences …, 2015
622015
Russian propaganda on social media during the 2022 invasion of Ukraine
D Geissler, D Bär, N Pröllochs, S Feuerriegel
EPJ Data Science 12 (1), 35, 2023
612023
Generating Domain-Specific Dictionaries Using Bayesian Learning
N Pröllochs, S Feuerriegel, D Neumann
Proceedings of the 23rd European Conference on Information Systems (ECIS), 2015
612015
Community-based fact-checking on Twitter’s Birdwatch platform
N Pröllochs
International AAAI Conference on Web and Social Media (ICWSM) 16, 794-805, 2022
582022
Moral emotions shape the virality of COVID-19 misinformation on social media
K Solovev, N Pröllochs
Proceedings of the ACM Web Conference (WWW), 3706-3717, 2022
472022
Investor reaction to financial disclosures across topics: An application of latent Dirichlet allocation
S Feuerriegel, N Pröllochs
Decision Sciences 52 (3), 608-628, 2021
472021
Emotions explain differences in the diffusion of true vs. false social media rumors
N Pröllochs, D Bär, S Feuerriegel
Scientific Reports 11 (1), 22721, 2021
462021
Emotions in online rumor diffusion
N Pröllochs, D Bär, S Feuerriegel
EPJ Data Science 10 (1), 51, 2021
392021
Detecting negation scopes for financial news sentiment using reinforcement learning
N Pröllochs, S Feuerriegel, D Neumann
Proceedings of the 49th Hawaii International Conference on System Sciences …, 2016
30*2016
Affective information processing of fake news: Evidence from NeuroIS
B Lutz, MTP Adam, S Feuerriegel, N Pröllochs, D Neumann
European Journal of Information Systems, 1-20, 2023
262023
Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation
B Lutz, N Pröllochs, D Neumann
Journal of Business Research 144, 888-901, 2022
262022
Sentence-Level sentiment analysis of financial news using distributed text representations and multi-instance learning
B Lutz, N Pröllochs, D Neumann
Proceedings of the 52th Hawaii International Conference on System Sciences …, 2019
262019
Statistical inferences for polarity identification in natural language
N Pröllochs, S Feuerriegel, D Neumann
PloS one 13 (12), e0209323, 2018
262018
Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity
K Solovev, N Pröllochs
Proceedings of the ACM Web Conference (WWW), 3656-3661, 2022
242022
Negation Scope Detection for Sentiment Analysis: A Reinforcement Learning Framework for Replicating Human Interpretations
N Pröllochs, S Feuerriegel, B Lutz, D Neumann
Information Sciences, 2020
242020
Learning interpretable negation rules via weak supervision at document level: A reinforcement learning approach
N Pröllochs, S Feuerriegel, D Neumann
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
242019
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