Bottom-Up Organizing with Tools from On High: Understanding the Data Practices of Labor Organizers

التفاصيل البيبلوغرافية
العنوان: Bottom-Up Organizing with Tools from On High: Understanding the Data Practices of Labor Organizers
المؤلفون: Lynn Dombrowski, Phoebe Sengers, Vera Khovanskaya
المصدر: CHI
بيانات النشر: ACM, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Data collection, Computer science, media_common.quotation_subject, 05 social sciences, 020207 software engineering, 02 engineering and technology, Top-down and bottom-up design, Discretion, Data science, Field (computer science), Data access, Work (electrical), Critical data studies, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, 050107 human factors, media_common
الوصف: This paper provides insight into the use of data tools in the American labor movement by analyzing the practices of staff employed by unions to organize alongside union members. We interviewed 23 field-level staff organizers about how they use data tools to evaluate membership. We find that organizers work around and outside of these tools to develop access to data for union members and calibrate data representations to meet local needs. Organizers mediate between local and central versions of the data, and draw on their contextual knowledge to challenge campaign strategy. We argue that networked data tools can compound field organizers' lack of discretion, making it more difficult for unions to assess and act on the will of union membership. We show how the use of networked data tools can lead to less accurate data, and discuss how bottom-up approaches to data gathering can support more accurate membership assessments.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2407b1f12957a7279aec0a1e57f18544
https://doi.org/10.1145/3313831.3376185
حقوق: OPEN
رقم الأكسشن: edsair.doi...........2407b1f12957a7279aec0a1e57f18544
قاعدة البيانات: OpenAIRE