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Baltasar C.Autor o CoautorD’antonio Maceiras S.Autor o CoautorMartin A.Autor o CoautorCamacho D.Autor o Coautor

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31 de octubre de 2024
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Analysis of Climate Change Misleading Information in TikTok

Publicado en:Ceur Workshop Proceedings. 3782 54-61 - 2024-01-01 3782(), DOI:

Autores: Baltasar C; D’Antonio Maceiras S; Martín A; Camacho D

Afiliaciones

Universidad Politécnica de Madrid - Autor o Coautor

Resumen

In today’s digital landscape, social media platforms have become important areas for disseminating information, ranging from legitimate discourse to misinformation, especially on critical topics such as Climate Change. This study employs claim detection and clustering techniques to analyze misleading information within an initial dataset of videos. Initially, the study identified 5,352 videos out of a total of 8,151 that warranted further investigation. Utilizing clustering methods, it was discovered that the prevalence of misinformation was surprisingly lower than anticipated. Most of the clusters showcases content that promotes sustainability and raises environmental awareness, strengthened by corroborated information of fact-checking agency EFE Verifica. Conversely, there are two clusters that focuses on videos propagating misinformation, conspiracy theories, active discussion and debate, highlighting the necessity of consuming media with caution. Looking ahead, combating misinformation necessitates the enhancement of digital literacy and the cultivation of critical thinking skills. This research aims to leverage technology and verified information from credible organizations to identify, analyze, and mitigate the influence of misleading content on social media, thus better understanding its dynamics and reducing its adverse impacts.

Palabras clave

Climate changeEnvironmental issuesMisleading informationTiktok videos

Indicios de calidad

Impacto bibliométrico. Análisis de la aportación y canal de difusión

El trabajo ha sido publicado en la revista Ceur Workshop Proceedings, Q4 Agencia Scopus (SJR), su enfoque regional y su especialización en Computer Science (Miscellaneous), le otorgan un reconocimiento lo suficientemente significativo en un nicho concreto del conocimiento científico a nivel internacional.

Análisis de liderazgo de los autores institucionales

Existe un liderazgo significativo ya que algunos de los autores pertenecientes a la institución aparecen como primer o último firmante, se puede apreciar en el detalle: Primer Autor (BALTASAR ALONSO, CLARA MARIA) y Último Autor (CAMACHO FERNANDEZ, DAVID).