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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Codebook for analyzing emotional communication strategies of far-right parties on TikTok during the 2024 european elections

Libro de códigos para analizar las estrategias de comunicación emocional de los partidos de extrema derecha en TikTok durante las elecciones europeas de 2024
Authors: Noelia García-Estévez; Manuel J. Cartes Barroso; Sandra Méndez-Muros;

Codebook for analyzing emotional communication strategies of far-right parties on TikTok during the 2024 european elections

Abstract

The codebook outlines the methodology for analyzing content from far-right leaders on TikTok during the 2024 European elections, covering the period from May 22 to June 9. Its main objective is to identify patterns and emotional strategies used to attract the vote. The analysis is structured into three dimensions: political party contextualization, leader characteristics on TikTok, and content analysis. Key variables include main themes, predominant emotions, affective polarization, and stylistic techniques. Each category is defined with clear scales, examples, and instructions to ensure a rigorous approach. The training of coders and the use of technological tools ensured the reliability of the analysis, with inter-coder agreement rates exceeding 90%. This code book serves as a transparent methodological guide, enabling a robust and replicable analysis of political impact on TikTok.

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average