Measuring public acceptance with opinion mining: The case of the energy industry with long-term coal R&D investment projects

Abstract

New Web 2.0-based technologies have emerged in the field of competitor/marketintelligence. This paper discusses the factors influencing long-term product development,namely coal combustion long-term R&D/Carbon Capture and Storage (CCS) technology, andpresents a new method application for studying it via opinion mining. The technology marketdeployment has been challenged by public acceptance. The media images/opinions of coal powerand CCS are studied through the opinion mining approach with a global machine learning basedmedia analysis using M-Adaptive software. This is a big data-based learning machine mediasentiment analysis focusing on both editorial and social media, including both structured datafrom payable sources and unstructured data from social media. If the public acceptance isignored, it can at its worst cause delayed or abandoned market deployment of long-term energyproduction technologies, accompanied by techno-economic issues. The results are threefold:firstly, it is suggested that this type of methodology can be applied to this type of researchproblem. Secondly, from the case study, it is apparent that CCS is unknown also based on thistype of approach. Finally, poor media exposure may have influenced technology marketdeployment in the case of CCS.

CCUS or no CCUS? Societal support for policy frameworks and stakeholder perceptions in France, Spain, and Poland

“…It includes that the literature as well as the study participants rarely distinguish between different types of capture technologies or ways of utilization. Low levels of public knowledge have been confirmed by recent surveys in a variety of countries 7,8 as well as by (social) media analyses, which revealed that the discussion mainly takes place in expert circles 9,10 . In comparative studies, CCU, that is, scenarios that foresee some kind of utilization of the captured CO 2 , seems to be perceived more positively than CCS 8,11,12 and perceptions of geological storage tend to be the most critical part of the CCUS chain 13 .…”

“…Low levels of public knowledge have been confirmed by recent surveys in a variety of countries 7,8 as well as by (social) media analyses, which revealed that the discussion mainly takes place in expert circles. 9,10 In comparative studies, CCU, that is, scenarios that foresee some kind of utilization of the captured CO 2 , seems to be perceived more positively than CCS 8,11,12 and perceptions of geological storage tend to be the most critical part of the CCUS chain. 13 A few studies have taken a more differentiated view into certain potential application cases of CCUS.…”

An Ordinance-Tweet Mining App to Disseminate Urban Policy Knowledge for Smart Governance

“…The advantage is that the approach is semi-supervised, and works even with partly labeled data. Nuortimo [29] studies social media data from multiple platforms to understand public reactions for a system called Case Carbon Capture and Storage, to control carbon dioxide emissions. Results show that the overall reactions are positive.…”

Twitter Mining for Detecting Interest Trends on Biodiversity: Messages from Seven Language Communities

“…Within this context, social media is a novel source of information and an up-todate tool for monitoring public opinion in human-nature interactions [13,14]. Analysis of citizens' interests through social media can be implemented through various means, including smart city [15][16][17], traffic [18][19][20], and energy [21]. Several types of social media have been used for this purpose, and one of the most common is Twitter.…”