JOURNAL ARTICLE
Information precarity and the agentic practices of marginalized communities: Puerto Rican activists addressing the crisis before, during, and after Hurricane Maria.
Published In: Journal of the Association for Information Science & Technology, 2023, v. 74, n. 5. P. 517 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Espinoza Vasquez, Fatima; Oltmann, Shannon M. 3 of 3
Abstract
In this study, we propose that information precarity leads to and perpetuates information marginalization; communities then engage with marginalization with various types of proactive information practices. For this project, we explore how Puerto Ricans activists responded to information precarity before, during, and after Hurricane Maria. We interviewed activists about their experiences navigating the local and federal institutional environment and their information practices. We show that although Puerto Rico suffered catastrophic damage after Hurricane Maria, its already‐weakened infrastructure, coupled with fiscal instability, had created a state of information precarity for many people before the hurricane hit. We also show how Puerto Rican activists engaged in solidarity‐based, anti‐colonial, and anti‐neoliberal information activities. While previous models argue that people respond to marginalization with defensive/protective behavior, we propose people go beyond just responding; they enact their agency, resourcefulness, collective interests, and locally based knowledge to engage in proactive and subversive information practices. We conclude that marginalized actors who are critical of the structures that marginalize them transform their state of precarity into an alternative space where they can achieve their goals. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of the Association for Information Science & Technology. 2023/05, Vol. 74, Issue 5, p517
- Document Type:Article
- Subject Area:History
- Publication Date:2023
- ISSN:2330-1635
- DOI:10.1002/asi.24742
- Accession Number:162842379
- Copyright Statement:Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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