Note: Towards Community-Empowered Network Data Action

Beatriz Palacios Abad, Elizabeth Belding, Morgan Vigil-Hayes, Ellen Zegura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Federal Communications Commission (FCC) has recently released official technical requirements for its Broadband Data Collection (BDC) processes, with the purpose of improving the accuracy of broadband coverage data in the United States. A key process in the BDC establishes the opportunity for communities to crowdsource Internet measurements that may dispute coverage data maintained by Internet service providers. This process outlines complex requirements that may provide a substantial barrier to community participation. In this poster we share the design of a network measurement tool suite and the requirements for a community coordination tool to support community-led efforts to challenge official reports. Our design is based on "counter-data action"principles, which call unethical and authoritative uses of data into question.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, COMPASS 2022
PublisherAssociation for Computing Machinery
Pages585-588
Number of pages4
ISBN (Electronic)9781450393478
DOIs
StatePublished - Jun 29 2022
Event4th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, COMPASS 2022 - Virtual, Online, United States
Duration: Jun 29 2022Jul 1 2022

Publication series

NameACM International Conference Proceeding Series
VolumePar F180472

Conference

Conference4th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, COMPASS 2022
Country/TerritoryUnited States
CityVirtual, Online
Period6/29/227/1/22

Keywords

  • citizen science
  • community cooperation and empowerment
  • counter-data action
  • network measurements

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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