Unveiling Hate Speech Dynamics: An Examination of Discourse Targeting the Spanish Meteorological Agency (AEMET)

This article examines hate speech directed at AEMET, the Spanish meteorological state agency, on the social media platform X. We analysed nearly half a million messages posted between 31 December 2021 and 19 April 2023, using hate speech detection algorithms, text mining techniques, and qualitative analysis to identify patterns and themes in the discourse. Our research reveals a troubling reality, with around 25% of the messages collected displaying some degree of hostility towards AEMET, its staff, and its scientific work. A considerable amount of hate speech was expressed through derogatory comments and insults aimed at meteorologists, which is indicative of a wider trend of anti‐intellectualism and scepticism of scientific expertise. Furthermore, the spread of conspiracy theories, particularly those related to geoengineering and chemtrails, highlights the spread of misinformation within online communities. This study emphasises the importance of acknowledging and addressing the spread of hate speech in meteorology and scientific communication. By emphasising the negative effects of such language on public perception and trust in scientific institutions, this article advocates for collaborative efforts to promote a culture of informed dialogue and evidence‐based discourse. The results highlight the importance of combating hate speech and misinformation to protect the integrity and credibility of scientific institutions such as AEMET.

Authors

Institutions

Publication Details

Journal
Social Inclusion
Published
2025-01-27
DOI
https://doi.org/10.17645/si.9291
Citations
2
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
4.96

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling Hate Speech Dynamics: An Examination of Discourse Targeting the Spanish Meteorological Agency (AEMET)

Sergio Arce García, Leticia Rodríguez Fernández, Virginia Martín Jiménez
2 citations
Social Inclusion
Hate Speech and Cyberbullying Detection
4.96
article

Unveiling Hate Speech Dynamics: An Examination of Discourse Targeting the Spanish Meteorological Agency (AEMET)

Sergio Arce García, Leticia Rodríguez Fernández, Virginia Martín Jiménez
article en
2 citations

Abstract

This article examines hate speech directed at AEMET, the Spanish meteorological state agency, on the social media platform X. We analysed nearly half a million messages posted between 31 December 2021 and 19 April 2023, using hate speech detection algorithms, text mining techniques, and qualitative analysis to identify patterns and themes in the discourse. Our research reveals a troubling reality, with around 25% of the messages collected displaying some degree of hostility towards AEMET, its staff, and its scientific work. A considerable amount of hate speech was expressed through derogatory comments and insults aimed at meteorologists, which is indicative of a wider trend of anti‐intellectualism and scepticism of scientific expertise. Furthermore, the spread of conspiracy theories, particularly those related to geoengineering and chemtrails, highlights the spread of misinformation within online communities. This study emphasises the importance of acknowledging and addressing the spread of hate speech in meteorology and scientific communication. By emphasising the negative effects of such language on public perception and trust in scientific institutions, this article advocates for collaborative efforts to promote a culture of informed dialogue and evidence‐based discourse. The results highlight the importance of combating hate speech and misinformation to protect the integrity and credibility of scientific institutions such as AEMET.

Social InclusionVol. 13
Universidad de Valladolid (ES), Universidad de Cádiz (ES), Universidad Internacional De La Rioja (ES)
Universidad Internacional de La Rioja, Ministerio de Economía y Competitividad, Ministerio de Ciencia e Innovación
Openalex Percentile: Top 6%
Hate Speech and Cyberbullying Detection
4.96
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.

Unveiling Hate Speech Dynamics: An Examination of Discourse Targeting the Spanish Meteorological Agency (AEMET) — Sergio Arce García, Leticia Rodríguez Fernández, et al. · Social Inclusion (2025) | TGRS Research Map | TGRS