{"id":1090491,"date":"2024-10-04T10:41:18","date_gmt":"2024-10-04T17:41:18","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=1090491"},"modified":"2024-10-04T10:41:20","modified_gmt":"2024-10-04T17:41:20","slug":"the-new-digital-divide","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-new-digital-divide\/","title":{"rendered":"The New Digital Divide"},"content":{"rendered":"

We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in US households. These measures of US household digital usage are much more comprehensive than those made available through any existing commercial or government survey. We construct representations of devices in ZIP codes and find evidence of significant variation in usage reflecting an urban-rural divide. We also show the existence of substantial disparities in usage even within narrowly defined Metropolitan Statistical Areas. Income and education correlate with these observed differences. These effects are large and suggest digital literacy gaps that extend beyond the availability of essential IT infrastructure at the local level. These findings call for interventions beyond the traditional focus on infrastructure access and address usage and skills development. The indices are made publicly available to support future research.<\/p>\n","protected":false},"excerpt":{"rendered":"

We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in US households. These measures of US household digital usage are much more comprehensive than those made available through any existing commercial or government survey. We construct representations of devices […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13563],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-1090491","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-data-platform-analytics","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2024-10","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"National Bureau of Economic Research","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/www.nber.org\/system\/files\/working_papers\/w32932\/w32932.pdf","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"user_nicename","value":"Mayana Pereira","user_id":40474,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Mayana Pereira"},{"type":"text","value":"Shane Greenstein","user_id":0,"rest_url":false},{"type":"text","value":"Raffaella Sadun","user_id":0,"rest_url":false},{"type":"text","value":"Prasanna Tambe","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Lucia Ronchi Darre","user_id":42738,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Lucia Ronchi Darre"},{"type":"user_nicename","value":"Tammy Glazer","user_id":41683,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Tammy Glazer"},{"type":"user_nicename","value":"Allen Kim","user_id":41704,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Allen Kim"},{"type":"user_nicename","value":"Rahul Dodhia","user_id":41401,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Rahul Dodhia"},{"type":"user_nicename","value":"Juan M. 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