Carsten Schwemmer: Potentials and Biases of Image Recognition Services for Social Science Research

Images are a powerful medium for communicating information, emotions, social identities and (political) opinions. At the same time, while scholars increasingly rely on textual data, images are still underutilized in social science research. In this talk, Carsten presents first insights from an ongoing project about the potential of images and in particular image recognition services.

Location: Weizenbaum-Institut, Hardenbergstra├če 32, 10623 Berlin


Time: Wednesday, April 24 2019 11:00 AM


Fellow Talk


The project examines congressional behavior and relies on annotations from the Google Vision API of images posted by Members of Congress on Twitter. Carsten Schwemmer is a junior fellow at the Weizenbaum Research Group "Digitalisation and the Transnational Public Sphere". Additionally, he is a Ph.D. candidate in the field of Computational Social Science at University of Bamberg. In his talk, Carsten will also briefly introduce his research interests and related studies.

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