You are here: Home Social Computing & Finance Group

Social Computing & Finance Group

The Social Computing & Finance Group performs multi-disciplinary research at the intersection of computer science, economics, and social sciences. The activity of our group is directed towards a broad selection of topics with societal relevance, including social networks, financial markets, and recommender systems. For this purpose, we develop and apply data science methods and other computational techniques to understand human decision-making in the digital age.



Members of Research Group
brandt1.jpg

Dr. Nicolas Pröllochs
Research Group Leader
Hannemann

Felix Hannemann
Bernhard Lutz

Bernhard Lutz
drummer.jpg

Daniel Drummer



Research Focus:
 Social Media 

We conduct research to understand and predict the reception and dissemination of online news in all its forms. This project thus utilizes large-scale data sources to investigate how feedback, comments or reviews on social platforms affect the decision-making of individuals, businesses, and organizations. Individual research aspects also address the interplay between Tweets and the reception of products and firms.


Research Focus
: Finance

The availability of information forms the basis for financial decision-making. This research branch thus studies the reception and processing of financial news as a primary source of information for investors before exercising ownership in stocks. We use modern textmining algorithms like doc2vec and multi-instance learning to get a deeper understanding of how financial news are perceived by investors. Multiple research streams utilize historic stock market data to study how financial news in various forms impact the price formation on stock markets.


Research Focus
: Text Mining

Our research heavily relies on the analytical capabilities of processing and textual materials in various forms. For this purpose, we actively develop novel text mining methods that allow to operationalize the semantic orientation of textual materials. We are confident that the methodological innovations in this research stream will become important tools for researchers and practitioners.