Andoainen Baltasar erregeak izandako lapsusaren inguruko elkarrizketa eta jarduera Twitterren / Conversation and activity on Twitter about the mistake of King Baltasar at the cavalcade of Andoain

This paper analyses the semantic and structural dynamics of Twitter discussions following the unexpected speech lapse by King Baltasar during the 2019 Epiphany parade in Andoain, Basque Country. The study applies Social Network Analysis (SNA) methodologies using NodeXL to map out the semantic clusters and key actors involved in shaping the conversation. By collecting tweets between 6 and 14 January 2019, the research identifies 3,447 nodes and 3,645 relationships that form a discourse network characterised by political and racial tensions. The study finds that racialised narratives and political affiliations, particularly around EH Bildu and ERC figures like Gabriel Rufián, heavily influenced the discourse. Additionally, comparisons are drawn between this incident and other politically charged events, such as a shooting in Amurrio. Semantic network visualisations reveal distinct meaning clusters, central influencers, and emotional responses, ranging from xenophobic criticism to solidarity.

Publication Details

Journal
Figshare
Published
2025-08-24
DOI
https://doi.org/10.6084/m9.figshare.29976448
Primary Topic
Agriculture, Water, and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Andoainen Baltasar erregeak izandako lapsusaren inguruko elkarrizketa eta jarduera Twitterren / Conversation and activity on Twitter about the mistake of King Baltasar at the cavalcade of Andoain

Figshare
Agriculture, Water, and Health
article

Andoainen Baltasar erregeak izandako lapsusaren inguruko elkarrizketa eta jarduera Twitterren / Conversation and activity on Twitter about the mistake of King Baltasar at the cavalcade of Andoain

article en

Abstract

This paper analyses the semantic and structural dynamics of Twitter discussions following the unexpected speech lapse by King Baltasar during the 2019 Epiphany parade in Andoain, Basque Country. The study applies Social Network Analysis (SNA) methodologies using NodeXL to map out the semantic clusters and key actors involved in shaping the conversation. By collecting tweets between 6 and 14 January 2019, the research identifies 3,447 nodes and 3,645 relationships that form a discourse network characterised by political and racial tensions. The study finds that racialised narratives and political affiliations, particularly around EH Bildu and ERC figures like Gabriel Rufián, heavily influenced the discourse. Additionally, comparisons are drawn between this incident and other politically charged events, such as a shooting in Amurrio. Semantic network visualisations reveal distinct meaning clusters, central influencers, and emotional responses, ranging from xenophobic criticism to solidarity.

Figshare
Reduced inequalities
Openalex Percentile: Top 49%
Agriculture, Water, and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.