000			02168naa a22003258i 4500
999			_c5318 _d5318
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003			FR-PaOEC
005			20211006062617.0
006			a o d i
007			cr || |||m|n||
008			190601s2018 ||| o i|0| 0 eng d
035			_a(FR-PaOEC)
040			_aFR-PaOEC _cES-MaONT
100	1		_aWeber, Ingmar _93335
245	1	0	_aUsing advertising audience estimates to improve global development statistics​ / _cIngmar Weber, Ridhi Kashyap and Emilio Zagheni
260			_aGeneva : _bInternational Telecommunication Union, _c2018.
300			_a9 p.
336			_atexto (visual) _2isbdcontent
337			_aelectrónico _2isbdmedia
338			_arecurso en línea _2rdacarrier
520	3		_aThe 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 Existing data sources to measure progress on the SDGs and global population trends however are often (i) outdated, (ii) lacking international comparability, (iii) lacking appropriate disaggregation, or (iv) missing completely.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.
650		0	_aTecnologías habilitadoras digitales _918
653		4	_aScience and Technology
700	1		_aKashyap, Ridhi _93336
700	1		_aZagheni, Emilio _93337
773	0		_04843 _tITU Journal: ICT Discoveries _gVol. 2018, no. 2, p. 25-33 _q2018:2<25 _x2616-8375
856	4	0	_aitu-ilibrary.org _uhttps://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I2-2018-4-PDF-E.pdf _yAcceso al documento _x0 _qpdf
942			_cART _2udc