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Agriculture emerges as a prerequisite for food tourism, and landscapes and lifestyles portray the traditions of rural people, places, and practices. This chapter explores the rural food tourist as a type of tourist who appreciates and values the authenticity and identity of food and beverage products based on their origin. The chapter analyses the relation between online marketing and the cheese tourist. Social media is increasingly regarded as a source of tourism information, and its use as a communication and marketing tool is crucial both at business and destination levels. In this sense, the digital presence of rural assets such as food is a significant way to promote destination identity to tourists. This chapter reviews the digital presence of 28 Spanish cheeses with Protected Designations of Origin (PDO) and Protected Geographical Indications (PDI) labels. The chapter explores digital content as a source of information and knowledge for the rural food tourist.

Despite increasing awareness among fashion consumers about the positive environmental and societal impacts of sustainable fashion as a viable alternative to fast fashion, their actual adoption behavior often diverges. This study aims to empirically investigate consumers’ resistance barriers to sustainable fashion clothing.

This study utilizes innovation resistance theory to examine the barriers to consumer intention to buy sustainable clothing. The study collected a large sample (N = 745) of fashion consumers from the USA and India to test a research model.

The study finds that value, social risk, tradition and image barriers significantly reduce consumers’ intentions to buy sustainable fashion clothing. Additionally, the findings highlight that environmental concern moderates the relationship between social risk barriers and buying intentions.

The study findings contribute to the existing sustainable fashion literature by highlighting the main barriers for sustainable clothing consumption and emphasizing the crucial role of social elements, economic values and the image of sustainable fashion products in shaping consumer behavior within the fashion landscape.

The substantial expansion of technology and the efficacy of digital platforms in reaching young audiences have led to enhanced targeting and customization of promotional communications. Notwithstanding the expansion and efficacy of contemporary advertising platforms, scholarly attention has not kept pace with this domain of inquiry. This study aims to assess the antecedents of Google Shopping Ads (GSA) on intention to purchase behavior among the Generation Y and Z cohorts.

The current study used a quantitative approach and snowball sampling technique to gather primary data via a questionnaire and Google Forms, which resulted in the collection of 5,808 questionnaires among the cohort members. A principal component analysis and multigroup confirmatory multigroup structural equation modeling (between Generation Y and Z) were used to assess the research data and model.

The results show positive trust and perceived value associations with intention to purchase, particularly among Generation Y and Z consumers. The findings also show negative irritation, product risk and time risk associations with intention to purchase, especially among the Generation Y cohort, which indicates that young consumers generally do not observe perceived risk due to the usage of GSA.

GSA will continue to grow and become an increasingly important integrated marketing communications tool as the digital landscape develops. It can be concluded that young consumers show a high degree of perceived value and low levels of perceived risk due to the use of GSA. This study, therefore, promotes improved understanding among academics, marketers and businesses of search engine advertising among young cohorts of consumers (Generation Y and Z) in a developing country context.

This paper aims to provide a comprehensive overview of the current status and future research agenda of citizen journalism through a computational analysis lens. It explores how technological advancements and evolving media consumption patterns have shaped the rise of citizen journalism, democratizing news production via social media and digital technologies and impacting traditional journalism and societal discourse.

A bibliometric analysis was conducted on 1,325 peer-reviewed articles related to citizen journalism sourced from the Dimensions.ai database. The study used the Biblioshiny app of the bibliometrix software and VOSviewer for network visualization. The analysis examined publication trends, citation patterns, major contributors, influential journals and main research directions to map the intellectual landscape of citizen journalism research.

The analysis revealed significant growth in citizen journalism publications starting from 2004, with peak years in 2021–2023. Key researchers and journals were identified, highlighting both sustained and emerging contributions. Co-occurrence of keywords indicated a focus on qualitative methods and the credibility of citizen journalism. International collaboration varied, with robust intra-country publications in the USA and high intercountry collaboration rates in Austria and Australia. European and North American universities, particularly the University of Seville and the University of Vienna, were noted for their significant contributions.

To the best of the author’s knowledge, this study is one of the first to apply comprehensive bibliometric techniques to the field of citizen journalism, offering a quantitative assessment of global research trends.