
The Trump 2016 Primary Corpus (TPC2016) is a curated and annotated dataset containing full transcripts of Donald J. Trump’s campaign speeches delivered during the 2016 Republican primary. The corpus includes 222 rally transcripts, each accompanied by detailed metadata, an annotation guide, citation formats, and a licensing agreement. This collection is intended for use in political discourse analysis, corpus linguistics, media studies, and computational text analysis. All materials are encoded in UTF-8 plain text and follow a standardized naming convention. The dataset includes a CSV metadata file with detailed contextual information for each rally, a license file, and documentation for reuse. TPC2016 is offered under a CC BY 4.0 license and aims to support reproducibility and openness in the study of populism, rhetoric, and political communication. Registrado ante el Registro Territorial de la Propiedad Intelectual de la Comunidad de Madrid con fecha 14/05/2025 (Ref: 49/165181.9/25).
GOP primary, annotated corpus, campaign speeches, rhetoric, text corpus, political discourse, United States politics, corpus linguistics, Trump 2016, populism
GOP primary, annotated corpus, campaign speeches, rhetoric, text corpus, political discourse, United States politics, corpus linguistics, Trump 2016, populism
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
