While the ethnic food market has become increasingly important in Italy, the effects of the hybridization of consumption patterns have been slowed by a consolidated culinary tradition. This study investigates the relationships among ethnic food consumption, food neophobia, and openness to different cultures with sociodemographic characteristics. A sample of 1317 Italian consumers responded to an online survey. The sociodemographic profile of the neophobic consumer appears to substantially differ from that of the consumer with an attitude of openness. Neophobic respondents are males, are older than 55 years of age, are less educated, have children, are retired, have difficulty meeting their financial responsibilities, and do not eat ethnic food. Respondents who are more open to different cultures are young adults, are highly educated, have no children, are employed, and are consumers of ethnic food. The relationship between food neophobia and openness to different cultures is confirmed to be the relationship between these variables and ethnic food consumption. The measurement of these characteristics could serve as a crucial indicator for analyzing the willingness to accept elements of novelty in an increasingly multicultural society. Additionally, consumers with the neophobic trait and who are less open to different cultures might have a less varied diet that is essential to good health.

Several factors drive consumer behavior in buying meat, particularly rabbit meat. The consumption of rabbits has decreased in Europe, and the main causes of this trend are an increasing association with the perception of rabbits as pets, consumers’ changes in lifestyle, and eating habits. Additionally, increasing attention is paid to ethical issues regarding animal welfare. Investigating consumers’ knowledge, perceptions, and concerns about rabbit meat production and consumption are crucial for improving market strategies. This study investigated consumers’ perspectives of rabbit meat to provide useful information to producers for promoting this sector to consumers. A mixed-methods research design was applied. Qualitative data were collected through four focus group discussions involving 32 consumers and quantitative data through a semi-structured questionnaire administered nationally and completed by 1001 consumers. The limited use of antibiotics in inbreeding and the absence of animal suffering are factors that most influence consumers’ willingness to purchase rabbit meat. Rural/domestic farms were recognized as places where animal welfare measures can be applied and have a positive influence not only on organoleptic quality but also on ethical value and food safety. The cage was perceived as unsuitable for rabbit growth and was oriented to a process of fattening based on industrial feed and antibiotics. Respondents sought information on rabbit farming during purchase, and the label was the most used tool. The rabbit meat production sector should consider these results to meet consumers’ demands and raise awareness among operators on the use of animal welfare-based farming systems, helping to build a more positive image of the rabbit meat industry.

This article explores the contribution of the Structural Topic Model (STM) to study the intertwining of social representations, attitudes, and identities. We examine newspapers’ discourse on energy transition in a coal‐dependent region (Sulcis, Italy), whose identity and economy are built around mining and carbon‐intensive industry. Drawing upon Social Representations Theory, we combined STM and qualitative content analysis to examine how newspapers represented the energy issue in Sulcis, and how these representations (including denotative and connotative facets) differed according to the social identities’ salience. Results show that coal is legitimated by discourses making salient local identities and providing continuity in the place–identity link, with no alternative to extractivism. When the Sardinian superordinate identity becomes salient, new themes emerge (e.g., renewables) but energy transition retains ambivalent or negative connotations. Overall representations seem to replicate and reflect processes of domination and injustice hindering a just transition, potentially explaining negative attitudes and collective resistance to decarbonization.

This article examines the Sulcis coal region in Italy and illustrates how discursive dynamics can impede energy transition by delegitimizing coal decline and the diffusion of renewable energies. Combining quantitative analyses of textual data and argumentative discourse analysis, we analyze newspaper articles published between 2011 and 2021 in the national, regional, and local press. Our findings reveal that shifts in topic salience and storylines reflect different transition phases (coal legitimacy, regime destabilization, and reconfiguration). Throughout the analyzed period, newspapers have cultivated a discursive environment that weakens efforts to phase out coal and promote low-carbon energy by amplifying particular storylines endorsed by competing discourse coalitions. Media discourse consistently portrays decarbonization and coal phase-out as threatening, anticipating disruption to regional livelihoods and traditions. Over time, renewable energies are marginalized or hindered by storylines promoting regime stability (coal legitimacy), soft transformation (coal-to-gas transition), and, finally, a reconfiguration (utility-scale renewable transition) promoted by incumbents and resisted by locally based discourse coalitions perceiving it as a form of colonialism. This study sheds light on the interplay between discourse dynamics and the complexities and challenges of the destabilization–reconfiguration pathway of coal regions. It contends that approaches combining both build-up and break-down dynamics into the analysis of transitions can offer a more nuanced, politically sensitive understanding and practical insights to instigate and navigate more equitable destabilization–reconfiguration pathways.

Background: With rapid evolution of the internet and web 2.0 apps, online sources have become one of the main channels for most people to seek food risk information. Thus, it would be compelling to analyze the coverage of online information sources related to biological, chemical, and nutritional food risks, and related safety issues, to understand the type of content that online readers are exposed to, possibly influencing their perceptions. Objective: The aim of this study was to identify the types of online sources that are predominantly covering this theme, and the topics that have received the most attention in terms of coverage and engagement on social media. Methods: We performed an analysis of big data related to food risks by combining web monitoring techniques, content analysis, and data visualization of a large amount of unstructured text. Using a dictionary-based approach, a web monitoring app was instructed to automatically collect web content referring to the food risk and safety field. Data were retrieved from March 2017 to February 2018. The validated corpus (N=12,163) was subject to automatic and manual content analysis. Results were combined with descriptive statistics extracted from Web-Live and processed with Qlik Sense. Results: Nutritional risks and news about outbreaks, controls, and alerts were the most widely covered topics. Thematic sources devoted major attention to nutritional topics, whereas national sources covered food risks, especially during food emergencies. Regarding engagement on social media, readers’ interest was higher for nutritional topics and animal welfare. Although traditional sources still publish a great amount of content related to food risks and safety, new mediators have emerged as alternative sources for food risk information. Conclusions: This mixed methodological approach was demonstrated to be a useful means for obtaining an accurate characterization of the online discourse on food risks, and can provide insight into how the monitored sources contribute to the process of risk communication.