Topic Models from GAFAM Discourse

Mölder, Martin; Mollona, Edoardo; Diana, Alessio

dc.contributor.author	Mölder, Martin
dc.contributor.author	Mollona, Edoardo
dc.contributor.author	Diana, Alessio
dc.date.accessioned	2025-03-24T07:31:14Z
dc.date.available	2025-03-24T07:31:14Z
dc.date.issued	2025-03-21
dc.identifier.uri	https://datadoi.ee/handle/33/668
dc.identifier.uri	https://doi.org/10.23673/re-506
dc.description.abstract	This dataset contains the results of an LDA topic model with 200 topics that was applied to a combined corpus of newspaper articles about GAFAM (Google, Amazon, Facebook, Apple, Microsoft) companies (113 123 texts). The objective of this analysis was to analyze what discourses arise in public in relation to GAFAM companies and how the company discourse related to public media discourse about GAFAM in Europe. For an initial summary of this model and the data that is part of this data set, see here: https://inca-project.eu/highlights/frequency_map.php	en
dc.format	CSV	en
dc.publisher	University of Tartu	en
dc.relation	INCA (Increase Corporate Political Responsibility and Accountability, funded by European Union Horizon Europe Programme. Grant Agreement no. 101061653; https://inca-project.eu/	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.rights	Attribution 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.subject	GAFAM	en
dc.subject	topic modeling	en
dc.subject	text analysis	en
dc.title	Topic Models from GAFAM Discourse	en
dc.type	info:eu-repo/semantics/dataset	en