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Professur für Data Science & Digitalisierung

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BWL XI: Paper in Nature Human Behaviour
A new article has been accepted for publication in Nature Human Behaviour (IF: 29.9). Together with researchers from LMU Munich, Stanford University, Max Planck Institute, Georgetown University, and Georgia Tech, we offer suggestions for how research can help tackle the threats arising from AI-generated disinformation on social media.
BWL XI: Paper accepted at ICWSM
A new research paper has been accepted for publication in the Proceedings of the International Conference on Web and Social Media (ICWSM). ICWSM is a premier conference in data science with a low acceptance rate (CORE Ranking A).
BWL XI: Media Coverage of Our Research (FAZ, SZ, ZDF, Zeit, Stern, Handelsblatt, ...)
Our research on Russian propaganda on social media during the invasion of Ukraine has been covered in various media outlets.
BWL XI: Text Mining Course in Winter Semester 23/24
In winter semester 23/24, we offer the course "Text Mining" for master's students. The number of participants is limited to a maximum number of 24 students. The deadline for applications is October 2, 2023.
BWL XI: Paper in EPJ Data Science
A new research paper studying the spread of Russian propaganda on social media during the 2022 invasion of Ukraine has been accepted for publication in EPJ Data Science (IF: 3.6).
BWL XI: Paper in European Journal of Information Systems
A new research paper has been accepted for publication in the European Journal of Information Systems (VHB: A). The paper employs neurophysiological measurements to study the role of affect when users assess online news as real or fake.
BWL XI: Two papers accepted at CSCW
Two new research papers have been accepted for publication in the Proceedings of the ACM on Human-Computer Interaction (CSCW).
BWL XI: Recent Media Coverage (The Atlantic, ARD, FAZ, ...)
Our paper in Nature Human Behaviour studying the effect of negativity on click rates has been featured in various media outlets.
BWL XI: Paper in Communications of the ACM
A new article has been accepted for publication in Communications of the ACM. The paper discusses threats emerging from alt-tech social media platforms.
BWL XI: Research Featured in the Financial Times
Our research studying Russian propaganda on social media during the 2022 invasion of Ukraine has been featured in the Financial Times.
Mehr ...
Featured Research: Moralized Language Predicts Hate Speech on Social Media

This study provides large-scale observational evidence that moralized language fosters the proliferation of hate speech on social media. Specifically, we analyzed three datasets from Twitter covering three domains (politics, news media, and activism) and found that the presence of moralized language in source posts was a robust and meaningful predictor of hate speech in the corresponding replies. These findings offer new insights into the mechanisms underlying the proliferation of hate speech on social media and may help to inform educational applications, counterspeech strategies, and automated methods for hate speech detection.

Featured Research: Negativity Drives Online News Consumption

Online media is important for society in informing and shaping opinions, hence raising the question of what drives online news consumption. Here, we analyze the causal effect of negative and emotional words on news consumption using a large online dataset of viral news stories. Specifically, we conducted our analyses using a series of randomized controlled trials (N = 22,743). Our dataset comprises ∼105,000 different variations of news stories from Upworthy.com that generated ∼5.7 million clicks across more than 370 million overall impressions. Although positive words were slightly more prevalent than negative words, we found that negative words in news headlines increased consumption rates (and positive words decreased consumption rates). For a headline of average length, each additional negative word increased the click-through rate by 2.3% Our results contribute to a better understanding of why users engage with online media.