Modelling the energy transition debate in Italy through information supply and demand
イタリアにおけるエネルギー転換に関する議論の情報需給モデリング (AI 翻訳)
Irene Scalco, Giulia Colafrancesco, Matteo Cinelli
🤖 gxceed AI 要約
日本語
本研究は、イタリアのエネルギー転換に関する議論を対象に、ソーシャルメディアと検索エンジンにおける情報の供給と需要のモデルを提案する。結果は、情報需要と供給が主要なイベント時に応答的に連動する一方、情報空白が存在し、公衆の理解や参加を遅らせる可能性を示す。
English
This study proposes a model of information supply and demand in the Italian energy transition discourse, using data from Facebook, Instagram, GDELT, and Google. Findings show responsive coupling between supply and demand during major events, but also information voids that may hinder public understanding and engagement.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
イタリアの事例だが、日本でもエネルギー転換に関する情報流通の課題（情報空白など）は重要。日本のSNS・検索データを用いた同様の分析がSSBJや有報の情報開示の文脈でも示唆を与える可能性。
In the global GX context
While Italy-specific, the concept of information voids in energy transition debates applies globally. It highlights the role of information ecosystems in shaping public support for climate policy, relevant for ISSB/CSRD stakeholder engagement disclosures.
👥 読者別の含意
🔬研究者:Provides a model for analyzing information supply-demand dynamics in energy transition discourse, applicable to other contexts.
🏢実務担当者:Useful for sustainability communication teams to understand how information voids affect public engagement.
🏛政策担当者:Emphasizes the need to monitor and fill information gaps to maintain public support for transition policies.
📄 Abstract（原文）
Climate change is one of the most critical challenges of the twenty-first century. Public understanding of climate issues and of the goals regarding the climate transition is essential to translate awareness into concrete actions. In this context, social media platforms play a crucial role in disseminating information about energy transition and climate policy. To better understand the dynamics and the criticalities of information circulation, we propose a model that takes into account the supply and demand of information related to the Italian energy transition discourse. We conceptualise information supply as the production of content on Facebook, Instagram and GDELT (an online news database) and information demand as searches on the Google search engine. Our findings highlight responsiveness and temporal coupling between supply and demand, particularly during moments of heightened public attention triggered by significant external events. These responsive interactions reveal an overall adaptive information ecosystem. However, we also observe the presence of information voids, i.e. period in which little information is available on a given topic, which may limit public understanding and delay meaningful engagement and coordinated actions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s44168-026-00387-xfirst seen 2026-06-22 04:48:30
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。