Using advertising audience estimates to improve global development statistics

The United Nations Sustainable Development Goals (SDGs) are a key instrument in setting the agenda around global development until 2030. These goals come with a set of 232 indicators against which countries should monitor their progress with respect to the SDGs. Existing data sources to measure prog...

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Main Authors: Weber, I, Kashyap, R, Zagheni, E
Format: Journal article
Published: International Telecommunication Union 2018
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author Weber, I
Kashyap, R
Zagheni, E
author_facet Weber, I
Kashyap, R
Zagheni, E
author_sort Weber, I
collection OXFORD
description The United Nations Sustainable Development Goals (SDGs) are a key instrument in setting the agenda around global development until 2030. These goals come with a set of 232 indicators against which countries should monitor their progress with respect to the SDGs. Existing data sources to measure progress on the SDGs and global population trends however are often (i) outdated, (ii) lacking international comparability, (iii) lacking appropriate disaggregation, or (iv) missing completely. These problems are often especially acute among less developed countries. In this paper we describe how anonymous, aggregate data from the online advertising platforms of Facebook, LinkedIn and other services can be used in combination with existing data sources to improve global development statistics. We illustrate the process of using and validating such non-representative data through two case studies looking at (i) Internet access gender gaps, and (ii) international migration statistics.
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spelling oxford-uuid:991b732a-2537-40ab-b045-1110fb175fac2022-03-27T00:11:50ZUsing advertising audience estimates to improve global development statisticsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:991b732a-2537-40ab-b045-1110fb175facSymplectic Elements at OxfordInternational Telecommunication Union2018Weber, IKashyap, RZagheni, EThe United Nations Sustainable Development Goals (SDGs) are a key instrument in setting the agenda around global development until 2030. These goals come with a set of 232 indicators against which countries should monitor their progress with respect to the SDGs. Existing data sources to measure progress on the SDGs and global population trends however are often (i) outdated, (ii) lacking international comparability, (iii) lacking appropriate disaggregation, or (iv) missing completely. These problems are often especially acute among less developed countries. In this paper we describe how anonymous, aggregate data from the online advertising platforms of Facebook, LinkedIn and other services can be used in combination with existing data sources to improve global development statistics. We illustrate the process of using and validating such non-representative data through two case studies looking at (i) Internet access gender gaps, and (ii) international migration statistics.
spellingShingle Weber, I
Kashyap, R
Zagheni, E
Using advertising audience estimates to improve global development statistics
title Using advertising audience estimates to improve global development statistics
title_full Using advertising audience estimates to improve global development statistics
title_fullStr Using advertising audience estimates to improve global development statistics
title_full_unstemmed Using advertising audience estimates to improve global development statistics
title_short Using advertising audience estimates to improve global development statistics
title_sort using advertising audience estimates to improve global development statistics
work_keys_str_mv AT weberi usingadvertisingaudienceestimatestoimproveglobaldevelopmentstatistics
AT kashyapr usingadvertisingaudienceestimatestoimproveglobaldevelopmentstatistics
AT zaghenie usingadvertisingaudienceestimatestoimproveglobaldevelopmentstatistics