Red and blue language: Word choices in the Trump and Harris 2024 presidential debate

Political debates are a peculiar type of political discourse, in which candidates directly confront one another, addressing not only the the moderator's questions, but also their opponent's statements, as well as the concerns of voters from both parties and undecided voters. Therefore, language is adjusted to meet specific expectations and achieve persuasion. We analyse how the language of Trump and Harris during the Presidential debate (September 10th, 2024) differs in relation to semantic and pragmatic features, for which we formulated targeted hypotheses: framing values and ideology, appealing to emotion, using words with different degrees of concreteness and specificity, addressing others through singular or plural pronouns. Our findings include: differences in the use of figurative frames (Harris often framing issues around recovery and empowerment, Trump often focused on crisis and decline); similar use of emotional language, with Trump showing a slightly higher tendency toward negativity and toward less subjective language compared to Harris; no significant difference in the specificity of candidates' responses; similar use of abstract language, with Trump showing more variability than Harris, depending on the subject discussed; differences in addressing the opponent, with Trump not mentioning Harris by name, while Harris referring to Trump frequently; different uses of pronouns, with Harris using both singular and plural pronouns equally, while Trump using more singular pronouns. The results are discussed in relation to previous literature on Red and Blue language, which refers to distinct linguistic patterns associated with Republican (Red) and Democratic (Blue) political ideologies.

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Publication Details

Journal
PLoS ONE
Published
2025-06-03
DOI
https://doi.org/10.1371/journal.pone.0324715
Citations
6
Primary Topic
Discourse Analysis in Language Studies
Type
article
Field-Weighted Citation Impact
91.05

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article

Red and blue language: Word choices in the Trump and Harris 2024 presidential debate

Marianna Bolognesi, Philipp Wicke
6 citations
PLoS ONE
Discourse Analysis in Language Studies
91.05
article

Red and blue language: Word choices in the Trump and Harris 2024 presidential debate

Marianna Bolognesi, Philipp Wicke
article en
6 citations

Abstract

Political debates are a peculiar type of political discourse, in which candidates directly confront one another, addressing not only the the moderator's questions, but also their opponent's statements, as well as the concerns of voters from both parties and undecided voters. Therefore, language is adjusted to meet specific expectations and achieve persuasion. We analyse how the language of Trump and Harris during the Presidential debate (September 10th, 2024) differs in relation to semantic and pragmatic features, for which we formulated targeted hypotheses: framing values and ideology, appealing to emotion, using words with different degrees of concreteness and specificity, addressing others through singular or plural pronouns. Our findings include: differences in the use of figurative frames (Harris often framing issues around recovery and empowerment, Trump often focused on crisis and decline); similar use of emotional language, with Trump showing a slightly higher tendency toward negativity and toward less subjective language compared to Harris; no significant difference in the specificity of candidates' responses; similar use of abstract language, with Trump showing more variability than Harris, depending on the subject discussed; differences in addressing the opponent, with Trump not mentioning Harris by name, while Harris referring to Trump frequently; different uses of pronouns, with Harris using both singular and plural pronouns equally, while Trump using more singular pronouns. The results are discussed in relation to previous literature on Red and Blue language, which refers to distinct linguistic patterns associated with Republican (Red) and Democratic (Blue) political ideologies.

PLoS ONEVol. 20(6)
LMU Klinikum (DE), GNA University (IN), Munich Center for Quantum Science and Technology (DE), Ludwig-Maximilians-Universität München (DE), University of Bologna (IT)
European Commission, European Research Council
Openalex Percentile: Top 0%
Discourse Analysis in Language Studies
91.05
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