Discourse Analysis Dataset of Spanish Digital Media Coverage on Biorefineries: Complete Research Package for Social Acceptance Analysis of Renewable Energy Technologies (2019-2024)

This comprehensive research package documents the complete methodological and analytical materials from a discourse analysis study examining social discourse in Spanish digital media regarding biorefineries as renewable energy technologies (RETs). The research identifies narrative patterns, power dynamics, and communication strategies that influence the acceptance or rejection of biorefineries, providing empirical validation of the Communicative Hegemony Model in Energy Transition (CHMET).The study employs mixed qualitative and quantitative methodologies structured in four phases, analyzing 350 digital articles about 88 Spanish biorefineries published between November 2019 and November 2024. The qualitative approach involves systematic discourse analysis using social listening techniques and manual coding, while the quantitative dimension employs statistical tools including frequency analysis, chi-square tests, binary logistic regressions, and cluster analysis to establish significant relationships among key variables.This repository contains six main components: (1) the complete coded database with 350 news articles according to defined operational variables; (2) comprehensive SPSS 29 syntax files organized by analysis type (exploratory, logistic regression, cluster analysis, and multiple correspondence analysis); (3) complete statistical outputs in .spv format; (4) the database of 88 studied biorefineries with technical and geographical characteristics; (5) complete Social Onclusive monitoring configuration files; and (6) specific query sets designed for each monitored facility with detailed location and technology combinations.The coding framework follows the structured methodology outlined in Gertrudix et al. (2024) "Codebook for the analysis of social acceptance of biorefineries in Spain, based on public discourse in social media and digital media." The dataset comprises 49 variables encompassing geographical, organizational, and communication-related data, with detailed analyses of thematic, emotional, and argumentative dimensions.This resource supports researchers and practitioners exploring public perceptions of renewable energy technologies, democratic participation in energy transitions, and critical approaches to environmental communication, enabling replication and extension of the analytical framework to other contexts.