Advanced Content Analysis : Can Artificial Intelligence Accelerate Theory-Driven Complex Program Evaluation?

Samuel Franzen

This pilot study tests the applicability, usefulness, and added value of using AI for advanced theory-based content analysis within the framework of IEG's thematic evaluations. Using a set of interventions associated with the World Bank's chronic malnutrition and stunted growth portfolio, the paper assesses the efficiency gains generated by AI-assisted content analysis in labeling and classifying text according to an outcome-based conceptual framework

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Year of publication:	2022
Authors:	Franzen, Samuel
Other Persons:	Budzier, Alexander (contributor) ; Gold, Jenny (contributor) ; Hrstich, Peter (contributor) ; Quang, Cuong (contributor) ; Raimondo, Estelle (contributor) ; Ramirez, Santiago (contributor) ; Reissfelder, Stephane (contributor) ; Schweizer, Lukas (contributor) ; Vellez, Mercedes (contributor)
Publisher:	Washington, D.C : The World Bank
Subject:	Künstliche Intelligenz \| Artificial intelligence \| Bibliometrie \| Bibliometrics

Extent:	1 Online-Ressource
Series:	Other papers
Type of publication:	Book / Working Paper
Language:	English
Other identifiers:	10.1596/37117 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013208996