The rapid development of technologies for cultured meat production has led to new challenges for producers regarding appropriate communication with future customers in order to deliver products to a viable market. Communication analysis of social media enables the identification of the key characteristics of the monitored topic, as well as the main areas of communication by individual users based on active digital footprints. This study aimed to identify the key characteristics of cultured meat based on communication analysis of the social network Twitter. Communication analysis was performed based on 36,356 Tweets posted by 4128 individual users. This analysis identified the following main communicated characteristics: clean meat, future meat, and sustainable meat. Latent Dittrich allocation identified five communication topics: (1) clean and sustainable products, (2) comparisons with plant-based protein and the impact on agribusiness, (3) positive environmental aspects, (4) cultured meat as an alternative protein, and (5) the regulation of cultured meat.

The goal of the research is to identify the factors of business model that form Value Proposition of farmers' market customers in the areas of (1)…

Growing research and technological development is making the commercial production of cultured meat as a sustainable alternative to livestock-derived meat an increasing reality. However, to competitively position cultured meat on the food market, appropriate marketing and communication tailored to specific demographics is required. We aimed to define the motives that influence the willingness to include cultured meat in consumption based on age, specifically in Generation Z and Generation Y. To achieve this, data from a questionnaire survey that asked about ethical, ecological and health and safety factors around cultured meat was collected from 740 respondents (301 Generation Z and 439 Generation Y) and analyzed using the Mann–Whitney test and structural equation modeling. Generation Z were significantly more likely than Generation Y (p < 0.05) to consider cultured meat healthier than conventional meat because of the possibility of adjusting the composition and nutrient content. Generation Z were also significantly less concerned than Generation Y (p < 0.05) about the consequences that consuming cultured meat might have on human health. In Generation Z, ethical, ecological and health and safety factors significantly influenced their willingness to consume cultured meat (all p < 0.01). In conclusion, we confirmed the influence of ecological and ethical awareness, as well as health and safety, on willingness to include cultured meat in consumption; these areas could be targeted when marketing cultured meat.

The aim of this paper is to examine the communication content of Instagram social network users, on the basis of the hashtags they use relating to gamification and to define communities within the network in the context of education. The results are based on the analysis of Instagram's worldwide social network. Primary data were collected using a script to capture communication on the social network Instagram. The analysis included Instagram photos selected on the basis of hashtag #gamification (17,994 contributions). The results identify that the most commonly associated expressions with hashtags #gamification are hashtags associated with education and business, especially where startup and innovation are concerned. On the basis of an analysis visually isolated communities with average modularity of 0.506 were identified, which relate to the communication of the gamification on the social network Instagram: 1) Education, 2) Entrepreneurship, 3) Gamification in general, 4) Social and 5) Enjoyment. The benefit of analysis for the education area is to identify the university‘s links between Education and Entrepreneurship and the Teacher and Trust between education and enjoyment.

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, the scientific journal of the Mendel University in Brno, Czech Republic

Greenwashing—defined as the strategic misrepresentation of corporate environmental practices—has emerged as a focal point of critical discussion on social media platforms. In this study, discourse related to greenwashing on Twitter was analyzed to uncover key thematic structures, sentiment dynamics, and polarization patterns. A total of 308,075 tweets authored by 148,881 unique users between 1 January 2015 and 31 January 2023 were collected and subjected to topic modelling and sentiment analysis. Ten primary themes were identified: (1) Sustainability and Marketing, (2) Climate Change and Fossil Fuels, (3) International Summits and Activism, (4) The Green Deal, (5) Environmental, Social, and Governance (ESG) Investments, (6) Plastic Waste, (7) Fast Fashion, (8) The Automotive Industry, (9) Deforestation, and (10) Food and Agriculture. Sentiment analysis, conducted using the Valence Aware Dictionary and Sentiment Reasoner (VADER), revealed a predominantly critical tone across the dataset. Negative sentiment was detected in 35.54% of tweets, while only 12.86% conveyed a positive stance; the remaining 51.6% were classified as neutral. These findings underscore the pervasive skepticism towards corporate environmental claims and highlight the perceived dissonance between green marketing narratives and actual corporate behavior. Furthermore, the study illustrates how public sentiment clusters around specific themes, suggesting issue-based polarization in perceptions of environmental credibility. By integrating topic modelling with sentiment polarity analysis, this research offers an empirical framework for evaluating public discourse surrounding greenwashing. The insights derived may inform both corporate sustainability communication strategies and policy interventions aimed at fostering transparency and accountability. Overall, the evidence points to an urgent need for more authentic, verifiable, and ethically aligned environmental messaging to restore public trust in sustainability initiatives.