论文标题
通过在线新闻的语义网络分析评估和提高能源社区的社会意识
Evaluating and improving social awareness of energy communities through semantic network analysis of online news
论文作者
论文摘要
能源社区的实施代表了一种跨学科现象，有可能支持能源过渡，同时促进公民在整个能源体系中的参与及其对可再生能源的剥削。在线信息源在使人们参与此过程并提高对相关利益的认识方面发挥了重要作用。在这种观点中，这项工作分析了有关能源社区的在线新闻数据，以了解人们的意识和媒体的重要性。我们将语义品牌评分（SBS）指标用作语义重要性的创新度量，结合了社交网络分析和文本挖掘方法。结果表明，对能源社区以及其他能源和社会有关的主题的重要性趋势不同，也允许识别其联系。我们的方法为信息差距和可能采取的促进低碳能量转变的可能行动提供了证据。
The implementation of energy communities represents a cross-disciplinary phenomenon that has the potential to support the energy transition while fostering citizens' participation throughout the energy system and their exploitation of renewables. An important role is played by online information sources in engaging people in this process and increasing their awareness of associated benefits. In this view, this work analyses online news data on energy communities to understand people's awareness and the media importance of this topic. We use the Semantic Brand Score (SBS) indicator as an innovative measure of semantic importance, combining social network analysis and text mining methods. Results show different importance trends for energy communities and other energy and society-related topics, also allowing the identification of their connections. Our approach gives evidence to information gaps and possible actions that could be taken to promote a low-carbon energy transition.
