Red is Sus: Automated Identification of Low-Quality Service Availability Claims in the US National Broadband Map

dc.contributor.authorNabi, Syed Tauhidunen
dc.contributor.authorWen, Zhuoweien
dc.contributor.authorRitter, Brookeen
dc.contributor.authorHasan, Shaddien
dc.date.accessioned2024-12-03T18:13:23Zen
dc.date.available2024-12-03T18:13:23Zen
dc.date.issued2024-11-04en
dc.date.updated2024-12-01T09:01:42Zen
dc.description.abstractThe FCC’s National Broadband Map aspires to provide an unprecedented view into broadband availability in the US. However, this map, which also determines eligibility for public grant funding, relies on self-reported data from service providers that in turn have incentives to strategically misrepresent their coverage. In this paper, we develop an approach for automatically identifying these low-quality service claims in the National Broadband Map. To do this, we develop a novel dataset of broadband availability consisting of 750k observations from more than 900 US ISPs, derived from a combination of regulatory data and crowdsourced speed tests. Using this dataset, we develop a model to classify the accuracy of service provider regulatory filings and achieve AUCs over 0.98 for unseen examples. Our approach provides an effective technique to enable policymakers, civil society, and the public to identify portions of the National Broadband Map that are likely to have integrity challenges.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1145/3646547.3688441en
dc.identifier.urihttps://hdl.handle.net/10919/123726en
dc.language.isoenen
dc.publisherACMen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.holderThe author(s)en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleRed is Sus: Automated Identification of Low-Quality Service Availability Claims in the US National Broadband Mapen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
3646547.3688441.pdf
Size:
3.04 MB
Format:
Adobe Portable Document Format
Description:
Published version
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description: