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Ideal technologies, ideal women: AI and gender imaginaries in Redditors’ discussions on the Replika bot girlfriend

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posted on 2023-04-21, 13:32 authored by Iliana Depounti, Paula SaukkoPaula Saukko, Simone NataleSimone Natale
There is extensive literature on how expectations and imaginaries about artificial intelligence (AI) guide media and policy discussions. However, it has not been considered how such imaginaries are activated when users interact with AI technologies. We present findings of a study on how users on a subreddit discussed ‘training’ their Replika bot girlfriend. The discussions featured two discursive themes that focused on the AI imaginary of ideal technology and the gendered imaginary of the ideal bot girlfriend. Users expected their AI Replikas to both be customizable to serve their needs and to have a human-like or sassy mind of their own and not spit out machine-like answers. Users thus projected dominant notions of male control over technology and women, mixed with AI and postfeminist fantasies of ostensible independence onto the interactional agents and activated similar scripts embedded in the devices. The vicious feedback loop consolidated dominant scripts on gender and technology whilst appearing novel and created by users. While most research on the use of AI is conducted in applied computer science to improve user experience, this article outlines a media and cultural studies lens for a critical understanding of these emerging technologies as they become embedded in communication and meaning-making.

Funding

Commercial AI chatbots and mental health self-care: An ethnography of contemporary AI companionship

Economic and Social Research Council

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History

School

  • Social Sciences and Humanities

Department

  • Communication and Media

Published in

Media, Culture & Society

Volume

45

Issue

4

Pages

720 - 736

Publisher

SAGE Publications

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Publication date

2022-08-19

Copyright date

2022

ISSN

0163-4437

eISSN

1460-3675

Language

  • en

Depositor

Dr Paula Saukko. Deposit date: 26 August 2022

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