Prof. Dr. Marius Sältzer

A06 3-327


Tanja Sluiter

A06 3-323


Institut für Sozialwissenschaften
Fakultät I
Ammerländer Heerstr. 114-118 
Universität Oldenburg 
D-26111 Oldenburg

Research interests

Society in the 21st century is being digitized to an unprecedented extent. Data, algorithms and digital communication determine everyday life, but also open up enormous potential. The Digital Social Science working group is part of a broader process in the social sciences: It is intended to serve as a bridge to Computational Social Science (CSS) at the University of Oldenburg. CSS can be understood in two ways; as a research field of the computer-mediated social, and as an application of computer-intensive methods to social phenomena. Accordingly, the research deals with the substantive phenomena, such as the interaction of social/political action and technology, and contributes to answering traditional research questions with new data and methods.

Social media, for example, represent one of the most conspicuous forms of digitization. They are developing into arenas of social action that are increasingly influencing politics, society and technological development. Hardly any other social system corresponds to “social computing”. This data can be used for a wide range of social science issues: Social media platforms are also social networks that can provide data to answer questions about social relationships, security, education and labor markets. However, social media also have their downsides: through anonymity and high reach, they reinforce the tendency towards 'incvility' and hate speech, which has both normative and practical consequences for content management and platform governance.

Our teaching imparts both the content and methodological foundations of CSS from "Big Data" to "Artificial Intelligence" for a broad audience. A special focus is on questions of social digitization, data protection and the ethical limits of CSS. Participants receive basic knowledge about how algorithms work, possible data sources for social science research projects, methods for analyzing images, texts or networks.

I am more specifically conducting research in the areas of 

1) Annotation for machine learning

2) Web scraping and text analysis of party press statements

3) Face recognition in Social Media images

(Changed: 20 Jun 2024)  | 
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