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La Independiente: Designing Ubiquitous Systems for Latin American and Caribbean Women Crowdworkers

Published: 08 October 2023 Publication History

Abstract

Since 2018, Venezuelans have contributed to 75% of leading AI crowd work platforms’ total workforce [15], and it is very likely other Latin American and Caribbean (LAC) countries will follow in the context of the post covid-19 economic recovery [7]. While crowd work presents new opportunities for employment in regions of the world where local economies have stagnated[11], few initiatives have investigated the impact of such work in the Global South through the lens of feminist theory. To address this knowledge gap, we surveyed 55 LAC women on the crowd work platform Toloka to understand their personal goals, professional values, and hardships faced in their work. Our results revealed that most participants shared a desire to hear the experiences of other women crowdworkers, mainly to help them navigate tasks, develop technical and soft skills, and manage their finances more efficiently. Additionally, 75% of the women reported that they completed crowd work tasks on top of caring for their families, while over 50% confirmed they needed to negotiate their family responsibilities to pursue crowd work in the first place. These findings demonstrated a vital component lacking from the experiences of these women was a sense of connection with one another. Based on these observations, we propose a system designed to foster community between LAC women in crowd work to improve their personal and professional advancement.

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  • (2024)Designing Gig Worker Sousveillance ToolsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642614(1-19)Online publication date: 11-May-2024

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      cover image ACM Conferences
      UbiComp/ISWC '23 Adjunct: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
      October 2023
      822 pages
      ISBN:9798400702006
      DOI:10.1145/3594739
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 08 October 2023

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      Author Tags

      1. AI labor
      2. Latin American and Caribbean women
      3. crowd-work
      4. gig work
      5. wearable technology

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      • (2024)Designing Gig Worker Sousveillance ToolsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642614(1-19)Online publication date: 11-May-2024

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