Exploring public perceptions of precision fermentation technology: A streamlined and labor-saving consumer perception analysis approach using YouTube data
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 an...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Future Foods |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666833525001984 |
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| Summary: | 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: | 2666-8335 |