Courses

  • Lecturer: "Introduction to Computation for Social Scientists"

    Mandatory Lecture for M.Sc. Social and Economic Data Science, University of Konstanz, Scheduled in Winter Semester 2021-22

  • Co-Lecturer: "Introduction to Python for Social Scientists."

    Methods seminar, GESIS - Leibniz Institute for the Social Sciences, September 2020

  • Co-Lecturer: "Introduction to Data Science with Python."

    Methods seminar, GESIS - Leibniz Institute for the Social Sciences, September 2019

  • Guest Lecturer: "Data Science (Lectures - Data collection Methods & Ethics; Auditing Algorithms; News on Social Media"

    Lecture, University of Koblenz-Landau, Summer Semester 2020

  • Guest Lecturer: "Data Science (Lectures - Data collection Methods & Ethics; Data Visualizations and Story Telling)"

    Lecture, University of Koblenz-Landau, Winter Semester 2019-20

  • Co-Lecturer: "Big Data Module I: Introduction to Data Science with Python."

    Methods seminar, GESIS - Leibniz Institute for the Social Sciences, July 2019

  • Guest Lecturer: "Computational Social Science (Lecture - Introduction to Auditing Algorithms)"

    Lecture, University of Koblenz-Landau, Summer Semester 2019

  • Lecturer: "Introduction to Auditing Algorithms."

    International IPS Winter School - "The Power of Algorithms? A Sociological Perspective", Institute of Political Science & Sociology, University of Wuerzburg, February 2019

  • Guest Lecturer: "Knowledge & the Web (Lecture - Analzying biases -- of algorithms & humans)"

    KU Leuven, Winter Semester 2018 - 19

  • Guest Lecturer: "Data Science (Lectures - Data collection Methods & Ethics; Data Visualisations & Data Stories)"

    University of Koblenz Landau, Winter Semester 2018 - 19

  • Teaching Assistant: "Social Media Analysis"

    Advanced Lecture, University of Saarland, Summer Semester 2016

  • Teaching Assistant: "Human vs. Algorithmic-Decision Making: Bias, Fairness & Transparency"

    Seminar, University of Saarland, Winter Semester 2015 - 16

  • Teaching Assistant: "Readings in Social Computing Systems"

    Seminar, University of Saarland, Summer Semester 2013

  • Teaching Assistant: "Future Media Interest"

    Advanced Lecture, University of Saarland, Winter Semester 2010 - 11

Supervision
Master's Students
Doctoral Students
Master's Project / Internships

  • Elisabeth Richter (M.Sc. Social and Economic Data Science, University of Konstanz)

    Does Media Bias Affect Twitter Outreach: A Multi-feature Analysis of News Articles
    Supervisor (In collaboration with Media Bias Group), Submitted 2022

  • Tilman Hornung (M.Sc. Social and Economic Data Science, University of Konstanz)

    Putting Media Bias Research into Practice via an Annotation App
    Supervisor (In c(In collaboration with Media Bias Group), Submitted 2022

  • Rahkakavee Baskaran (M.Sc. Social and Economic Data Science, University of Konstanz)

    Extraction of Skill Categories from German Job Postings Using Nature Language Processing
    Second Supervisor, Submitted 2022

  • Gunda Ehmke (M.Sc. Social and Economic Data Science, University of Konstanz)

    Generating Gender-neutral Language Using Semi-supervised Learning
    Second Supervisor, Submitted 2022

  • Felix Blochwitz (M.Sc. Social and Economic Data Science, University of Konstanz)

    What media bias really means - an analysis of lexical bias features in human-annotated news
    Supervisor (In collaboration with Media Bias Group), Completed 2021

  • Jack Krueger (M.Sc. Social and Economic Data Science, University of Konstanz)

    Detection of Bias in News Media Headlines
    Supervisor (In collaboration with Media Bias Group), Completed 2021

  • Ziyad Meftah (M.Sc. Mathematical Modeling, Simulation And Optimization, University of Koblenz Landau)

    News exposure & issue salience
    Supervisor, Completed 2021

  • Orkut Karacalik (M.Sc. Web Science, University of Koblenz Landau)

    The predictability of web users’ browsing behavior
    Supervisor, Completed 2020

  • Frederik Gremler (Politics and Public Administration, University of Konstanz)

    Ethnic Organization on Digital Media
    Second Supervisor, estimated 2023

  • Jerome Wassmuth (M.Sc. Social and Economic Data Science, University of Konstanz)

    Computational methods for media bias detection: A literature review
    Supervisor, ongoing

  • Kate Hahn-Madole (M.Sc. Social and Economic Data Science, University of Konstanz)

    Analyzing “worthiness” of mass shooting victims in news coverage
    Supervisor, ongoing

  • David Krieger (M.Sc. Social and Economic Data Science, University of Konstanz)

    Domain-adaptive pretraining of transformer model for the biased language detection in news articles
    Supervisor, ongoing

  • Aleksandra Stankevich (M.Sc. Web and Data Science, University of Koblenz-Landau)

    Detection of media frames in ar- ticles about Coronavirus using unsupervised machine learning
    Co-Supervisor, completed 2020

  • Dhurim Sylejmani (M.Sc. Web Science, University of Koblenz-Landau)

    How diverse and stable are the audiences of di↵erent categories and website
    Co-Supervisor, completed 2019

  • Johnnatan Messias (Ph.D. Computer Science, MPI-SWS, Germany)

    Investigating political bias in so- cial media and web search
    Co-Supervisor, completed 2017

  • Lisette Espín-Noboa (M.Sc. Computer Science, MPI-SWS, Germany)

    Inferring Topical Context for Tweets, Hashtags and Trending Topics on Twitter
    Co-Supervisor, completed 2014

  • Ashkan Nikravesh (B.Sc. Computer Engineering, MPI-SWS, Germany)

    Inferring geolocation of Twitter users
    Co-Supervisor, completed 2011