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.
翻译：能源社区的实施是一个跨学科现象,具有支持能源过渡的潜力,同时促进公民在整个能源系统的参与和对可再生能源的开发,在线信息来源在使人们参与这一进程和提高他们对相关惠益的认识方面发挥了重要作用。这种观点认为,这项工作分析了能源社区在线新闻数据,以了解人们对这一主题的认识和媒体的重要性。我们使用Semistic品牌评分(SBS)指标作为语言重要性的创新衡量标准,将社会网络分析与文字采矿方法结合起来。结果显示能源社区和其他能源和社会相关议题的不同重要性趋势,也使人们能够查明它们之间的联系。我们的方法证明了信息差距和为促进低碳能源转型可能采取的行动。
相关内容
微信扫码咨询专知VIP会员