Exploring public perceptions of precision fermentation technology: A streamlined and labor-saving consumer perception analysis approach using YouTube data
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| Název: | Exploring public perceptions of precision fermentation technology: A streamlined and labor-saving consumer perception analysis approach using YouTube data |
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| Autoři: | Johnny Chan, Yilong Wang, Brice Valentin Kok-Shun, Meng Wai Woo |
| Zdroj: | Future Foods, Vol 12, Iss , Pp 100739- (2025) |
| Informace o vydavateli: | Elsevier, 2025. |
| Rok vydání: | 2025 |
| Sbírka: | LCC:Nutrition. Foods and food supply LCC:Food processing and manufacture |
| Témata: | Precision fermentation, Topic modelling, Sentiment analysis, Consumer perception, YouTube, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456 |
| Popis: | This study investigates public perceptions of precision fermentation technology using an efficient, scalable analysis framework based on YouTube data. Leveraging the YouTube API for data collection and applying BERTopic for topic modelling and GPT-4o for sentiment analysis, we analysed 345 videos and 16,428 audience comments. Our results show that content creators largely portray precision fermentation positively, emphasizing innovation, sustainability, and alternative protein potential, while audience sentiment is more sceptical, reflecting a nuanced divergence in public attitudes. To unpack the reasons behind this divergence in sentiment, we applied topic modelling, which revealed a range of recurring public concerns and thematic patterns in the discourse. Overall, this analysis approach provides quick, data-driven insights into public perceptions and is adaptable to other sustainable food innovations, offering a practical tool for researchers and organisations to inform strategic decisions and facilitate the broader adoption of emerging food technologies. |
| Druh dokumentu: | article |
| Popis souboru: | electronic resource |
| Jazyk: | English |
| ISSN: | 2666-8335 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2666833525001984; https://doaj.org/toc/2666-8335 |
| DOI: | 10.1016/j.fufo.2025.100739 |
| Přístupová URL adresa: | https://doaj.org/article/27e0ca4e7ca947ba863b9d03bed8bf23 |
| Přístupové číslo: | edsdoj.27e0ca4e7ca947ba863b9d03bed8bf23 |
| Databáze: | Directory of Open Access Journals |
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Nájsť tento článok vo Web of Science | Abstrakt: | This study investigates public perceptions of precision fermentation technology using an efficient, scalable analysis framework based on YouTube data. Leveraging the YouTube API for data collection and applying BERTopic for topic modelling and GPT-4o for sentiment analysis, we analysed 345 videos and 16,428 audience comments. Our results show that content creators largely portray precision fermentation positively, emphasizing innovation, sustainability, and alternative protein potential, while audience sentiment is more sceptical, reflecting a nuanced divergence in public attitudes. To unpack the reasons behind this divergence in sentiment, we applied topic modelling, which revealed a range of recurring public concerns and thematic patterns in the discourse. Overall, this analysis approach provides quick, data-driven insights into public perceptions and is adaptable to other sustainable food innovations, offering a practical tool for researchers and organisations to inform strategic decisions and facilitate the broader adoption of emerging food technologies. |
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| ISSN: | 26668335 |
| DOI: | 10.1016/j.fufo.2025.100739 |