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doi:10.22028/D291-40817
Titel: | Gender Pay Gap in Sports on a Fan-Request Celebrity Video Site |
VerfasserIn: | Sabri, Nazanin Reysen, Stephen Weber, Ingmar |
HerausgeberIn: | Ding, Ying Tang, Jie Sequeda, Juan |
Sprache: | Englisch |
Titel: | Proceedings of the ACM Web Conference 2023 |
Seiten: | 4142-4149 |
Verlag/Plattform: | Association for Computing Machinery |
Erscheinungsjahr: | 2023 |
Freie Schlagwörter: | Gender equality Online fandom Gender pay gap Gender pay gap in sports |
DDC-Sachgruppe: | 004 Informatik |
Dokumenttyp: | Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag) |
Abstract: | The internet is often thought of as a democratizer, enabling equality in aspects such as pay, as well as a tool introducing novel communication and monetization opportunities. In this study we examine athletes on Cameo, a website that enables bi-directional fancelebrity interactions, questioning whether the well-documented gender pay gaps in sports persist in this digital setting. Traditional studies into gender pay gaps in sports are mostly in a centralized setting where an organization decides the pay for the players, while Cameo facilitates grass-roots fan engagement where fans pay for video messages from their preferred athletes. The results showed that even on such a platform gender pay gaps persist, both in terms of cost-per-message, and in the number of requests, proxied by number of ratings. For instance, we find that female athletes have a median pay of 30$ per-video, while the same statistic is 40$ for men. The results also contribute to the study of parasocial relationships and personalized fan engagements over a distance. Something that has become more relevant during the ongoing COVID-19 pandemic, where in-person fan engagement has often been limited. |
DOI der Erstveröffentlichung: | 10.1145/3543507.3583884 |
URL der Erstveröffentlichung: | https://doi.org/10.1145/3543507.3583884 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-408178 hdl:20.500.11880/36680 http://dx.doi.org/10.22028/D291-40817 |
ISBN: | 978-1-4503-9416-1 |
Datum des Eintrags: | 24-Okt-2023 |
Bemerkung/Hinweis: | WWW '23: The ACM Web Conference 2023, 30 April 2023- 4 May 2023 |
Fakultät: | MI - Fakultät für Mathematik und Informatik |
Fachrichtung: | MI - Informatik |
Professur: | MI - Prof. Dr. Ingmar Weber |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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3543507.3583884.pdf | 502,7 kB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons