Publication:
Using Twitter to Evaluate the Perception of Service Delivery in Data-Poor Environments

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dc.contributor.authorBraley, Alia
dc.contributor.authorFraiberger, Samuel P.
dc.contributor.authorTas, Emcet O.
dc.date.accessioned2021-03-11T15:15:25Z
dc.date.available2021-03-11T15:15:25Z
dc.date.issued2021-03
dc.description.abstractEvaluating service delivery needs in data-poor environments presents a particularly difficult problem for policymakers. The places where the need for social services are most acute are often the very same places where assessing policy interventions is the most challenging. This paper uses Twitter data to gain insights into service delivery needs in a data-poor environment. Specifically, it examines the development priorities of citizens in the north- western region of Pakistan between 2007 and 2020, using natural language processing techniques (NLP) and sentiment analysis of 9.5 million tweets generated by 20,000 unique Twitter users. The analysis reveals that service delivery priorities in this context are centered on access to education, healthcare, food, and clean water. The findings provide baseline data for future on-the-ground research and development initiatives. In addition, the methodology used in this paper demonstrates both current resources and areas in need of future work in the use of NLP techniques in analyzing social media data in other contexts.en
dc.identifierhttp://documents.worldbank.org/curated/en/759721615384486443/Using-Twitter-to-Evaluate-the-Perception-of-Service-Delivery-in-Data-Poor-Environments
dc.identifier.doi10.1596/1813-9450-9575
dc.identifier.urihttps://hdl.handle.net/10986/35253
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Paper;No. 9575
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectSOCIAL MEDIA
dc.subjectTWITTER
dc.subjectSERVICE DELIVERY
dc.subjectNATURAL LANGUAGE PROCESSING
dc.subjectSENTIMENT ANALYSIS
dc.subjectACCESS TO EDUCATION
dc.titleUsing Twitter to Evaluate the Perception of Service Delivery in Data-Poor Environmentsen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleUsing Twitter to Evaluate the Perception of Service Delivery in Data-Poor Environments
okr.date.disclosure2021-03-10
okr.date.doiregistration2025-04-10T09:12:17.792514Z
okr.doctypePublications & Research
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/759721615384486443/Using-Twitter-to-Evaluate-the-Perception-of-Service-Delivery-in-Data-Poor-Environments
okr.guid759721615384486443
okr.identifier.doi10.1596/1813-9450-9575
okr.identifier.externaldocumentum090224b088397c84_1_0
okr.identifier.internaldocumentum32898593
okr.identifier.reportWPS9575
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/759721615384486443/pdf/Using-Twitter-to-Evaluate-the-Perception-of-Service-Delivery-in-Data-Poor-Environments.pdfen
okr.region.administrativeSouth Asia
okr.region.countryPakistan
okr.statistics.combined1671
okr.statistics.dr759721615384486443
okr.statistics.drstats879
okr.topicEducation::Access & Equity in Basic Education
okr.topicHealth, Nutrition and Population::Health Service Management and Delivery
okr.topicInformation and Communication Technologies::ICT Applications
okr.topicInformation and Communication Technologies::Information Technology
okr.topicWater Supply and Sanitation::Community Participation in Water Supply and Sanitation
okr.unitDevelopment Data Group, Development Economics; and the Social Sustainability and Inclusion Global Practice
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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