News and Research articles on gender

According to recent studies, Generative Artificial Intelligence (AI) output discriminates against women. On testing ChatGPT, terms such as “expert” and “integrity” were used to describe men, while women were associated with “beauty” or “delight”. This was the case while using the Large Language Model, Alpaca,  a model developed by Stanford University to produce recommendation letters for potential employees.

“Doing gender” by sharing: examining the gender gap in the European sharing economy

Thomas Eichhorn, German Youth Institute
Christian Hoffmann, Leipzig University
Katharina Heger, Freie Universität Berlin
PUBLISHED ON: 22 Mar 2022 DOI: 10.14763/2022.1.1627

This study applies a “doing gender” perspective and intersectionality theory to examine the gendered access to the European sharing economy.

Addressing gendered affordances of the platform economy: the case of UpWork

Elisabetta Stringhi, University of Milan
PUBLISHED ON: 22 Mar 2022 DOI: 10.14763/2022.1.1634

UpWork affordances are gendered affordances, since male users are allowed different conducts compared to female freelancers, who experience cyberviolence. UpWork serves as a case study to investigate the relationship between digital platform functioning and gender inequality in a platform economy context.

This paper is part of The gender of the platform economy, a special issue of Internet Policy Review guest-edited by Mayo Fuster Morell, Ricard Espelt and David Megias. Introduction Wanghong is short for the Chinese term “wangluo hongren”: people who have gone viral online. Covering a wide spectrum of participants including video uploader, vlogger, popular accounts on diverse social media, wanghong refers to a particular stream of vocational Chinese internet celebrities that have acquired their celebrity online and have acute incentives through various models to liquidate such online influence by transforming followers into consumers (Han, 2020a). As of late, the wanghong economy in China …

Hidden inequalities: the gendered labour of women on micro-tasking platforms

Paola Tubaro, Université Paris-Saclay
Marion Coville, University of Poitiers
Clément Le Ludec, Institut Polytechnique de Paris
Antonio A. Casilli, Institut Polytechnique de Paris
PUBLISHED ON: 22 Feb 2022 DOI: 10.14763/2022.1.1623

Platform micro-work fails to fill the legacy gaps that separate women from rewarding tech careers, and maintains them in low-level roles.

Whiteness in and through data protection: an intersectional approach to anti-violence apps and #MeToo bots

Renee Shelby, Northwestern University
Jenna Imad Harb, Australian National University
Kathryn Henne, Australian National University
PUBLISHED ON: 7 Dec 2021 DOI: 10.14763/2021.4.1589

This analysis of digital technologies aimed at supporting survivors of sexual and gender-based violence illustrates how they reaffirm normative whiteness.

Drawing from science and technology studies (STS) and a feminist law critique, this article argues that procedural law is insufficient when addressing algorithmic discrimination and that ex ante protection may be a better way forward.