New article in "Nature": Measuring algorithmically infused societies

Categories: GESIS-News

Traditionally, the social sciences explore phenomena of social coexistence on the basis of social theories and / or empirically through data and measurement models. However, the study of "algorithmically permeated societies" poses new challenges for the social sciences. 

In their article "Measuring algorithmically infused societies" in the journal Springer Nature, the team of authors Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kıcıman, Noshir Contractor and Tina Eliassi-Rad outlines three central challenges for measuring social phenomena in "algorithmically infused societies" and discusses possible solutions.

By the way: On 02.07.2021 Claudia Wagner and others will present the article in a panel, register here:

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