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Soylent Green 2.0?” A Qualitative Analysis of Online Comments on Cultivated Meat in Germany and the Netherlands

Baumann, Martina Felicitas ORCID iD icon 1; Landeweerd, Laurens; Baalen, Denise van
1 Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)

Abstract:

Cultivated meat attracts growing attention not only in news media and among experts and investors but also in social media discussions and online newspaper comments. While not representative of the general public, such comments offer valuable insights into public attitudes, perceptions, and concerns. We analysed 491 German and Dutch online comments to explore perceived benefits, risks, and barriers to cultivated meat development. Many commenters expressed optimism about sustainability and animal welfare benefits, yet concerns about health risks, fairness, and unnaturalness were widespread. Overall, attitudes were predominantly negative and highly polarised. We identify several contributing factors: polarising media events, societal divides around sustainability and responsibility, distrust in institutions and industry, over-promising technological narratives, and the spread of misinformation. These findings underscore the need for transparent communication, inclusive dialogue, and more nuanced public debate on the societal implications of emerging food technologies.


Verlagsausgabe §
DOI: 10.5445/IR/1000192568
Veröffentlicht am 23.04.2026
Originalveröffentlichung
DOI: 10.48416/ijsaf.v31i1.804
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 17.04.2026
Sprache Englisch
Identifikator ISSN: 0798-1759, 2524-1982
KITopen-ID: 1000192568
HGF-Programm 46.24.01 (POF IV, LK 01) Applied TA: Digitalizat. & Automat. Socio-Technical Change
Erschienen in International journal of sociology of agriculture and food
Band 32
Heft 1
Seiten 229-250
Schlagwörter cultivated meat, online comments, public perceptions, societal polarisation, misinformation
Nachgewiesen in OpenAlex
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