Irvin DongoYudith CardinaleAguilera, AnaAnaAguileraFabiola MartinezYuni QuinteroGerman RobayoDavid Cabeza2025-04-152025-04-152021-08-0310.1108/IJWIS-03-2021-0037https://cris-uv.scimago.es/handle/123456789/2427WOS:000681649800001This paper aims to perform an exhaustive revision of relevant and recent related studies, which reveals that both extraction methods are currently used to analyze credibility on Twitter. Thus, there is clear evidence of the need of having different options to extract different data for this purpose. Nevertheless, none of these studies perform a comparative evaluation of both extraction techniques. Moreover, the authors extend a previous comparison, which uses a recent developed framework that offers both alternates of data extraction and implements a previously proposed credibility model, by adding a qualitative evaluation and a Twitter-Application Programming Interface (API) performance analysis from different locations.acceso restringidoCOMPUTER SCIENCE INFORMATION SYSTEMSjournal-article