Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Schwemmer, Carsten"'
Autor:
Pfeffer, Juergen, Matter, Daniel, Jaidka, Kokil, Varol, Onur, Mashhadi, Afra, Lasser, Jana, Assenmacher, Dennis, Wu, Siqi, Yang, Diyi, Brantner, Cornelia, Romero, Daniel M., Otterbacher, Jahna, Schwemmer, Carsten, Joseph, Kenneth, Garcia, David, Morstatter, Fred
At the end of October 2022, Elon Musk concluded his acquisition of Twitter. In the weeks and months before that, several questions were publicly discussed that were not only of interest to the platform's future buyers, but also of high relevance to t
Externí odkaz:
http://arxiv.org/abs/2301.11429
Autor:
Schwemmer, Carsten, Wieczorek, Oliver
Publikováno v:
Sociology, 2020 Feb 01. 54(1), 3-21.
Externí odkaz:
https://www.jstor.org/stable/26972340
Publikováno v:
Ethnicities, 2019 Apr 01. 19(2), 271-291.
Externí odkaz:
https://www.jstor.org/stable/27035746
Publikováno v:
In Computers in Human Behavior November 2019 100:138-151
Publikováno v:
European Sociological Review, 2018 Aug 01. 34(4), 418-432.
Externí odkaz:
https://www.jstor.org/stable/48563293
Autor:
Leschke, Julia C., Schwemmer, Carsten
Publikováno v:
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life", 10, Weizenbaum Conference, 2
African-Americans are still experiencing racial discrimination rooted in structural bias in US American society. Research has shown that this behaviour can be reduced if individuals are made conscious of their bias, but little is known about these me
Externí odkaz:
https://www.ssoar.info/ssoar/handle/document/62623
Autor:
Schwemmer, Carsten, Knight, Carly, Bello-Pardo, Emily D., Oklobdzija, Stan, Schoonvelde, Martijn, Lockhart, Jeffrey W.
Publikováno v:
Socius: Sociological Research for a Dynamic World, 6, 1-17
Image recognition systems offer the promise to learn from images at scale without requiring expert knowledge. However, past research suggests that machine learning systems often produce biased output. In this article, we evaluate potential gender bia
Externí odkaz:
https://www.ssoar.info/ssoar/handle/document/70743
Akademický článek
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Akademický článek
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Autor:
Mathur, Arunesh, Wang, Angelina, Schwemmer, Carsten, Hamin, Maia, Stewart, Brandon M, Narayanan, Arvind
Supplemental material, sj-pdf-1-bds-10.1177_20539517221145371 for Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle by Arunesh Mathur, Angelina Wang, Carsten Schwemmer, Maia Hamin, Brando
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::397ca8176d32a340b119e2f0a8ca498c