Media bias and electoral discourse

This study employs quantitative and artificial intelligence methods to scrutinize media coverage during an election campaign. Employing TF, TF*IDF, and word2vec for text quantification and vectorization, alongside UAMP and t-SNE for cluster analysis, we examine how certain terms are utilized across...

詳細記述

書誌詳細

主要な著者:	Mar Castillo-Campos, David Becerra-Alonso, David Varona-Aramburu
フォーマット:	Artigo
言語:	Inglês
出版事項:	Icono 14 2025-07-01
シリーズ:	La Revista Icono 14
主題:	elections coverage, discourse analysis, natural language processing, NLP, Computational Communication, politics
オンライン･アクセス:	https://icono14.net/ojs/index.php/icono14/article/view/2154
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