Getting emotional or cognitive on social media? Analyzing renewable energy technologies in Instagram posts

Renewable energy development is a widely and intensively discussed topic, though it is still unclear which exactly variables may influence people's evaluation of the phenomenon. There is a need to study the general public's knowledge, emotions, and cognitions linked to energy technologies especially in the context of advanced inventions. Social media is a powerful communication tool which has a huge impact on studying public opinions. This study aims to describe linguistic connections through an analysis of 1500 Instagram posts, assuming and interpreting emotional and/or cognitive words. Using a socio-cognitive approach, this research explores the salient words under a set of pre-specified renewable energy technology (RET) hashtags. Building on the appraisal theories of emotions, this research investigates the coexistence of several energy technologies (solar, wind, biomass, and geothermal) and powerlines. The results showed the highest linguistic interconnection between solar and wind energy posts. Furthermore, powerlines were not linguistically connected to the RETs, as they are not included in the schema or not salient when people write posts about renewable energy. Solar, wind, and geothermal posts evoked more emotional and positive emotions than the other RETs and powerlines. Instead, biomass posts had a high frequency of cognitive processes and causal words. Powerline posts were linked to the words of risk, body, health, and biological process showing a great concern for health and perceived threat. These differences in the words used can be a guide to understanding peoples' reactions and communication for each of the energy sources. This study, taking both emotions and cognitions into account, explains different types of considerations towards energy projects

When URLs on social networks become invisible : Bias and social media logics in a cross-platform hyperlink study

Extant research has addressed various concerns of representativeness in digital social research including: bias in researchers’ selection of online spaces, foci on single-platform approaches, and limited or skewed samples due to API (application programming interface) restrictions. This paper adds to that work through an illustration of tool bias towards specific social media logics (e.g., Twitter logics) in a URL-based network across/within social media sites (illustrative case study = greenwashing). These “biases” are implicit in design, mirror extant societal trends, and are reinforced through platform biases. As such, researchers using such tools (above all, non-computational scholars) may have little awareness of these subliminal influences. The paper consequently argues that (a) tool choices often fall prey to issues in representation, reinforcing existing biases on a subliminal level; and, that (b) non-platform-specific creative situational approaches (like cross-platform URL explorations) provide a much-needed understanding of wider platform dynamics that highlight such biases

Not All Places Are Equal: Using Instagram to Understand Cognitions and Affect towards Renewable Energy Infrastructures

The research on people–place relations makes an important contribution to the understanding of the public responses to renewable energy technologies (RETs). Social media not only provides easy access to the sentiments and attitudes of online users towards RETs, but social media content can also shape the discourse, both on- and offline, about RETs. Hence, social media content analysis provides valuable insights into the public responses to RETs. However, as of now, only a small number of studies have investigated people–place relations in the context of the energy transition via online content. To address this lack of knowledge, this study aims to increase the understanding of people–place relations by investigating the relationship between the place scales mentioined in Instagram posts (categorized from local to planet) and the sentiments that are expressed in said posts, depending on different energy infrastructures (solar, wind, biomass, geothermal, powerlines, and renewable energy in general). Our analysis of 1500 Instagram posts shows that the place scales that are mentioned in the Instagram posts are related to some differences in the post emotionality, and that these effects differ across the different hashtags that are related to RETs. By using a sociocognitive approach, this study is the first to investigate Instagram posts in the context of the energy transition and people–place relationships

Not All Places Are Equal: Using Instagram to Understand Cognitions and Affect towards Renewable Energy Infrastructures

The research on people–place relations makes an important contribution to the understanding of the public responses to renewable energy technologies (RETs). Social media not only provides easy access to the sentiments and attitudes of online users towards RETs, but social media content can also shape the discourse, both on- and offline, about RETs. Hence, social media content analysis provides valuable insights into the public responses to RETs. However, as of now, only a small number of studies have investigated people–place relations in the context of the energy transition via online content. To address this lack of knowledge, this study aims to increase the understanding of people–place relations by investigating the relationship between the place scales mentioined in Instagram posts (categorized from local to planet) and the sentiments that are expressed in said posts, depending on different energy infrastructures (solar, wind, biomass, geothermal, powerlines, and renewable energy in general). Our analysis of 1500 Instagram posts shows that the place scales that are mentioned in the Instagram posts are related to some differences in the post emotionality, and that these effects differ across the different hashtags that are related to RETs. By using a sociocognitive approach, this study is the first to investigate Instagram posts in the context of the energy transition and people–place relationships

Predicting recycling in Southern Italy: An exploratory study

The waste disposal crisis in Southern Italy has led to a phenomenon dubbed \u2018the Land of Fires,\u2019 where illegal waste disposal and toxic fires of waste are currently contaminating the land, the ground and surface water, and the air quality. The general aim of this study was to investigate the psychosocial factors involved in the prediction of municipal solid waste separation, in a convenient sample of the inhabitants of three areas of Southern Italy, that is specifically the Land of Fires territory (Campania region), Abruzzo and Puglia. We put forward a model involving both pro-environmental concerns and cognitive evaluations. A written questionnaire was administered to a sample of 313 inhabitants from the three areas. Structural equation modelling was performed on the data. The findings confirmed the hypothesized relationships between study variables. The results showed that internal attribution and social norms were the strongest predictors of attitude, followed by the level of knowledge. Biospheric and altruistic values weakly predicted attitudes. Attitude strongly predicted the behavioural intention, which in turn predicted pro-environmental behaviour (i.e. recycling). Trust in institutions was unrelated to the recycling attitude. Attitudes partially mediated the relationship between internal attribution and behavioural intention, and between social norms and behavioural intention. Based on those results, some suggestions are put forward to improve recycling behaviour in the relevant territories