Research Focus
Research Focus
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Data Science for Business Applications
We use state-of-the-art quantitative methods to understand and predict the dissemination and economic impact of news, comments, and reviews in financial markets and electronic commerce. Furthermore, we engineer tools that allow decision-makers to replace gut decisions with data-driven practices.

Online Harms on Social Media
Social media is a fertile ground for misinformation and anti-social behavior, including online harassment, cyberbullying, and hate speech. Our research uses data science methods combined with large-scale datasets to better understand these phenomena and develop effective countermeasures.

Data Science Methods for Unstructured Online Data
Our research relies upon the ability to accurately process unstructured online data in various forms (e.g., text, images). For this purpose, we actively develop state-of-the-art data science methods (e.g., in the area of text mining and sentiment analysis) to derive actionable insights from unstructured online data.