Resumen

BANDEIRA, Fernando Cruz  y  CAIRRAO, Álvaro. Meta-analysis of scientific information on Humanitarian Action and the Invasion of Ukraine using the MA&MT Model for Technical and Scientific Information Analysis. População e Sociedade [online]. 2023, n.39, pp.46-62.  Epub 02-Oct-2023. ISSN 0873-1861.  https://doi.org/10.52224/21845263/rev39a4.

Through the use of the MA&MT Model for Analysis of Technical and Scientific Information, this article makes the meta-analysis of the information with the search terms "Ukraine" and "Humanitarian Action". The collection under analysis focuses on the publications made in the post-invasion of Ukraine by the Russian Federation (24 February 2022). Methodologically, the basis of analysis diverges in two planes: that of content, which contemplates the information conveyed in the text; and the formal that refers to characteristics external to the documents. In the foreground, data mining methodologies are used (keywords; word list; co-occurrences; among others). In the formal plan, the evaluation of variables external to the content is made (author affiliation; document type; number of words). The article allowed to draw pertinent conclusions, both regarding the diversity of perspectives on the problem, and regarding the variables under analysis such as: sources; country of origin; methods used.

Palabras clave : Humanitarian Action; Ukraine; Conflict; Russian Federation; MA&DM Model for Technical and Scientific Information Analysis..

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