RT Journal Article
T1 Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data
A1 Loureiro García, María Luz
A1 Alló Pazos, María
K1 Climate change
K1 LabMT
K1 Natural language processing
K1 Sentiment analysis
K1 Social media
K1 VADER
AB To shed light on the recent debate about climate change in this post-pandemic scenario, we take advantage of a unique dataset that combines geo-tagged social media data from Twitter in Spain from 2017 to 2022. Twitter conversations have been analyzed with natural language processing techniques to obtain sentiment scores related to climate change. These were merged with additional relevant control variables, aiming to understand the role of the contributing factors on the evolution of the hedonic scores, including external temperatures, the occurrence of heat waves, and deaths related to climate. We find a strong negative effect of external temperatures on sentiment, aggravated by recent increases in the frequency of heat waves and deaths related to climate. Further, this negative sentiment is accentuated after experiencing the recent COVID-19.
PB Elsevier
SN 0928-7655
YR 2024
FD 2024-03-08
LK https://hdl.handle.net/10347/44024
UL https://hdl.handle.net/10347/44024
LA eng
NO Loureiro, M. L., & Alló, M. (2024). Feeling the heat? Analyzing climate change sentiment in Spain using Twitter data. Resource and Energy Economics, 77, 101437.https://doi.org/10.1016/J.RESENEECO.2024.101437
NO Maria Loureiro wishes to acknowledge the research funds received from the Agencia Nacional de Investigación, project number PID2019-111255RB-I00, “Economics of Climate Change: Vulnerability and Adaptation and Mitigation Policies in Spain:"-RETOS 2019”.
DS Minerva
RD 27 abr 2026