Examining public perceptions of cultivated meat in Singapore: food neophobia and neophilia as precursors to the influence of presumed media influence model

References

• Agency for Science, Technology and Research. (2020, August 18). From lab to table: Towards Singapore’s “30 by 30” food security goal. https://www.a-star.edu.sg/News-and-Events/a-star-news/features/news/features/from-lab-to-table-towards-singapore-s-30-by-30-food-security-goal
   Google Scholar
• Ajzen, I., & Fishbein, M. (1973). Attitudinal and normative variables as predictors of specific behavior. Journal of Personality and Social Psychology, 27(1), 41–57. https://doi.org/10.1037/h0034440
   Web of Science ®Google Scholar
• Bamberg, S., Hunecke, M., & Blöbaum, A. (2007). Social context, personal norms and the use of public transportation: Two field studies. Journal of Environmental Psychology, 27(3), 190–203. https://doi.org/10.1016/j.jenvp.2007.04.001
   Web of Science ®Google Scholar
• Bardin, B., Perrissol, S., Facca, L., & Smeding, A. (2017). From risk perception to information selection … and not the other way round: Selective exposure mechanisms in the field of genetically modified organisms. Food Quality and Preference, 58, 10–17. https://doi.org/10.1016/j.foodqual.2016.12.015
   Web of Science ®Google Scholar
• Bhat, Z. F., & Fayaz, H. (2011). Prospectus of cultured meat—advancing meat alternatives. Journal of Food Science and Technology, 48(2), 125–140. https://doi.org/10.1007/s13197-010-0198-7
   Web of Science ®Google Scholar
• Bhat, Z. F., Kumar, S., & Fayaz, H. (2015). In vitro meat production: Challenges and benefits over conventional meat production. Journal of Integrative Agriculture, 14(2), 241–248. https://doi.org/10.1016/S2095-3119(14)60887-X
   Web of Science ®Google Scholar
• Bloomberg. (2023, January 12). Lab-grown meat: is it safe, is it vegetarian, when will it be available, is it better for the environment? South China Morning Post. All you need to know https://www.scmp.com/lifestyle/food-drink/article/3206230/lab-grown-meat-it-safe-it-vegetarian-when-will-it-be-available-it-better-environment-all-you-need
   Google Scholar
• Bollen, K. A. (1989). Structural equations with latent variables. John Wiley and Sons.
   Google Scholar
• Bolsen, T., & Leeper, T. J. (2013). Self-interest and attention to news among issue publics. Political Communication, 30(3), 329–348. https://doi.org/10.1080/10584609.2012.737428
   Web of Science ®Google Scholar
• Brunner, T. A., Delley, M., & Denkel, C. (2018). Consumers’ attitudes and change of attitude toward 3D-printed food. Food Quality and Preference, 68, 389–396. https://doi.org/10.1016/j.foodqual.2017.12.010
   Web of Science ®Google Scholar
• Bryant, C., & Barnett, J. (2020). Consumer acceptance of cultured meat: An updated review (2018–2020). Applied Sciences, 10(15), 5201. https://doi.org/10.3390/app10155201
   Google Scholar
• Capiola, A., & Raudenbush, B. (2012). The effects of food neophobia and food neophilia on diet and metabolic processing. Food and Nutrition Sciences, 03(10), 1397–1403. https://doi.org/10.4236/fns.2012.310183
   Google Scholar
• Chew, H. M. (2022, June 10). Largest cultivated chicken meat facility in Asia breaks ground in Singapore. Channel News Asia. https://www.channelnewsasia.com/singapore/cultivated-cultured-lab-chicken-good-meat-josh-tetrick-singapore-2739016
   Google Scholar
• Chia, S. C. (2006). How peers mediate media influence on adolescents’ sexual attitudes and sexual behavior. Journal of Communication, 56(3), 585–606. https://doi.org/10.1111/j.1460-2466.2006.00302.x
   Web of Science ®Google Scholar
• Cialdini, R. B., Kallgren, C. A., & Reno, R. R. (1991). Advances in experimental social psychology. Advances in Experimental Social Psychology, 24, 201–234. https://doi.org/10.1016/S0065-2601(08)60330-5
   Web of Science ®Google Scholar
• Cialdini, R. B., Kallgren, C. A., & Reno, R. R. (1991). A focus theory of normative conduct: A theoretical refinement and reevaluation of the role of norms in human behavior. Advances in Experimental Social Psychology, 12, 201–234. https://doi.org/10.1016/S0065-2601(08)60330-5.
   Google Scholar
• Cialdini, R. B., & Trost, M. R. (1998). Social influence: Social norms, conformity and compliance. In D. T. Gilbert, S. T. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (pp. 151–192). McGraw-Hill.
   Google Scholar
• Comrey, A. L., & Lee, H. B. (2013). A first course in factor analysis. Psychology Press. https://doi.org/10.4324/9781315827506
   Google Scholar
• Department of Statistics Singapore. (2022). Population and population structure. https://www.singstat.gov.sg/find-data/search-by-theme/population/population-and-population-structure/latest-data
   Google Scholar
• Festinger, L. A. (1957). A theory of cognitive dissonance. Stanford University Press.
   Google Scholar
• Fogarty, D., & Tan, A. (2019, August 8). Climate change threatens global food security: IPCC report. The Straits Times. https://www.straitstimes.com/world/world-can-feed-itself-fight-climate-change-if-it-adopts-right-recipe-for-farming-ipcc-report
   Google Scholar
• Gunther, A. C. (1998). The persuasive press inference: Effects of mass media on perceived public opinion. Communication Research, 25(5), 486–504. https://doi.org/10.1177/009365098025005002
   Web of Science ®Google Scholar
• Gunther, A. C., Bolt, D., Borzekowski, D. L., Liebhart, J. L., & Dillard, J. P. (2006). Presumed influence on peer norms: How mass media indirectly affect adolescent smoking. Journal of Communication, 56(1), 52–68. https://doi.org/10.1111/j.1460-2466.2006.00002.x
   Web of Science ®Google Scholar
• Gunther, A. C., & Storey, J. D. (2003). The influence of presumed influence. Journal of Communication, 53(2), 199–215. https://doi.org/10.1111/j.1460-2466.2003.tb02586.x
   Web of Science ®Google Scholar
• Hargittai, E., Gruber, J., Djukaric, T., Fuchs, J., & Brombach, L. (2020). Black box measures? How to study people’s algorithm skills. Information, Communication & Society, 23(5), 764–775. https://doi.org/10.1080/1369118X.2020.1713846
   Web of Science ®Google Scholar
• Hermida, R. (2015). The problem of allowing correlated errors in structural equation modeling: Concerns and considerations. Computational Methods in Social Sciences, 3(1), 5–17.
   Google Scholar
• Ho, S. S., Chuah, A. S., Koh, E. L., Ong, L., & Kwan, V. Q. (2022). Understanding public willingness to pay more for plant-based meat: Environmental and health consciousness as precursors to the influence of presumed media influence model. Environmental Communication, 16(4), 520–534. https://doi.org/10.1080/17524032.2022.2051576
   Google Scholar
• Ho, S. S., Goh, T. J., Chuah, A. S., Leung, Y. W., Bekalu, M. A., & Viswanath, K. (2020). Past debates, fresh impact on nano-enabled food: A multigroup comparison of presumed media influence model based on spillover effects of attitude toward genetically modified food. Journal of Communication, 70(4), 598–621. https://doi.org/10.1093/joc/jqaa019
   Web of Science ®Google Scholar
• Ho, S. S., Ou, M., & Vijayan, A. V. (2023). Halal or not? Exploring Muslim perceptions of cultured meat in Singapore. Frontiers in Sustainable Food Systems, 7, 1127164. http://doi.org/10.3389/fsufs.2023.1127164.
   Google Scholar
• Hong, Y. (2023). Extending the influence of presumed influence hypothesis: Information seeking and prosocial behaviors for HIV prevention. Health Communication, 38(4), 765–778. https://doi.org/10.1080/10410236.2021.1975902
   PubMed Web of Science ®Google Scholar
• Hong, Y., & Kim, S. (2020). Influence of presumed media influence for health prevention: How mass media indirectly promote health prevention behaviors through descriptive norms. Health Communication, 35(14), 1800–1810. https://doi.org/10.1080/10410236.2019.1663585
   PubMed Web of Science ®Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Huang, Y., & Cao, X. (2023). Calling on the third-party privacy control into algorithmic governance framework: Linking users’ presumed influence with control agency theory. International Journal of Public Opinion Research, 35(4), edad036. https://doi.org/10.1093/ijpor/edad036
   Web of Science ®Google Scholar
• Hussain, K., Abbasi, A. Z., Rasoolimanesh, S. M., Schultz, C. D., Ting, D. H., & Ali, F. (2022). Local food consumption values and attitude formation: the moderating effect of food neophilia and neophobia. Journal of Hospitality and Tourism Insights, 6(2), 464–491. http://doi.org/10.1108/JHTI-08-2021-0214
   Web of Science ®Google Scholar
• Jang, S. M. (2014). Seeking congruency or incongruency online? Examining selective exposure to four controversial science issues. Science Communication, 36(2), 143–167. https://doi.org/10.1177/1075547013502733
   Web of Science ®Google Scholar
• Jin, B., Chung, S., & Byeon, S. (2018). Media influence on intention for risk-aversive behaviors: The direct and indirect influence of blogs through presumed influence on others. International Journal of Communication, 12, 18.
   Web of Science ®Google Scholar
• Knobloch-Westerwick, S., Westerwick, A., & Johnson, B. K. (2015). Selective exposure in the communication technology context. In The handbook of the psychology of communication technology (pp. 405–424). https://doi.org/10.1002/9781118426456.ch18
   Google Scholar
• Lance, C. E., Lance, C. E., & Vandenberg, R. J. (2010). Statistical and methodological myths and urban legends. Routledge.
   Google Scholar
• Latimer, L. A., Pope, L., & Wansink, B. (2015). Food neophiles: Profiling the adventurous eater. Obesity, 23(8), 1577–1581. https://doi.org/10.1002/oby.21154
   PubMed Web of Science ®Google Scholar
• Leong, A. D. (2022). Framing in the social media era: Socio-psychological mechanisms underlying online public opinion of cultured meat. New Media & Society, 14614448221122211. https://doi.org/10.1177/14614448221122211
   Google Scholar
• Liao, Y., Ho, S. S., & Yang, X. (2016). Motivators of pro-environmental behavior. Science Communication, 38(1), 51–73. https://doi.org/10.1177/1075547015616256
   Web of Science ®Google Scholar
• Lin, C. A., Xu, X., & Dam, L. (2021). Information source dependence, presumed media influence, risk knowledge, and vaccination intention. Atlantic Journal of Communication, 29(2), 53–64. https://doi.org/10.1080/15456870.2020.1720022
   Web of Science ®Google Scholar
• Love, J., Selker, R., Marsman, M., Jamil, T., Dropmann, D., Verhagen, J., Ly, A., Gronau, Q. F., Smíra, M., Epskamp, S., Matzke, D., Wild, A., Knight, P., Rouder, J. N., Morey, R. D., & Wagenmakers, E.-J. (2019). JASP: Graphical statistical software for common statistical designs. Journal of Statistical Software, 88(2), https://doi.org/10.18637/jss.v088.i02
   Web of Science ®Google Scholar
• Lucas, A. (2020, December 1). Singapore issues first regulatory approval for lab-grown meat to Eat Just. Consumer News and Business Channel. https://www.cnbc.com/2020/12/01/singapore-issues-first-regulatory-approval-for-lab-grown-meat-to-eat-just.html
   Google Scholar
• MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. https://doi.org/10.1037/1082-989X.1.2.130
   Web of Science ®Google Scholar
• Menozzi, D., Sogari, G., Veneziani, M., Simoni, E., & Mora, C. (2017). Eating novel foods: An application of the theory of planned behaviour to predict the consumption of an insect-based product. Food Quality and Preference, 59, 27–34. https://doi.org/10.1016/j.foodqual.2017.02.001
   Web of Science ®Google Scholar
• Paul, B., Salwen, M. B., & Dupagne, M. (2000). The third-person effect: A meta-analysis of the perceptual hypothesis. Mass Communication and Society, 3(1), 57–85. http://doi.org/10.1207/S15327825MCS0301_04
   Google Scholar
• Pjesivac, I., Hayslett, M. A., & Binford, M. T. (2020). To eat or not to eat: Framing of GMOs in American media and its effects on attitudes and behaviors. Science Communication, 42(6), 747–775. https://doi.org/10.1177/1075547020947743
   Web of Science ®Google Scholar
• Pliner, P., & Hobden, K. (1992). Development of a scale to measure the trait of food neophobia in humans. Appetite, 19(2), 105–120. https://doi.org/10.1016/0195-6663(92)90014-W
   PubMed Web of Science ®Google Scholar
• Quinton, A. (2019, June 27). Cows and climate change. University of California, Davis. https://www.ucdavis.edu/food/news/making-cattle-more-sustainable
   Google Scholar
• Santo, R. E., Kim, B. F., Goldman, S. E., Dutkiewicz, J., Biehl, E., Bloem, M. W., Neff, R. A., & Nachman, K. E. (2020). Considering plant-based meat substitutes and cell-based meats: A public health and food systems perspective. Frontiers in Sustainable Food Systems, 4, 134. https://doi.org/10.3389/fsufs.2020.00134
   Google Scholar
• Siegrist, M., & Hartmann, C. (2020). Perceived naturalness, disgust, trust and food neophobia as predictors of cultured meat acceptance in ten countries. Appetite, 155, 104814. https://doi.org/10.1016/j.appet.2020.104814
   PubMed Web of Science ®Google Scholar
• Singapore Food Agency. (2021, January 4). A growing culture of safe, sustainable meat. https://www.sfa.gov.sg/food-for-thought/article/detail/a-growing-culture-of-safe-sustainable-meat
   Google Scholar
• Singapore Food Agency. (2022, November 11). A sustainable food system for Singapore and beyond. https://www.sfa.gov.sg/food-for-thought/article/detail/a-sustainable-food-system-for-singapore-and-beyond#:~:text=Singapore%20is%20vulnerable%20to%20supply,land%20set%20aside%20for%20farming
   Google Scholar
• Tajfel, H., & Turner, J. C. (1985). The social identity theory of intergroup behavior. In S. Worchel & W. G. Austin (Eds.), Psychology of intergroup relations (pp. 7–24). Nelson-Hall.
   Google Scholar
• Tomiyama, A. J., Kawecki, N. S., Rosenfeld, D. L., Jay, J. A., Rajagopal, D., & Rowat, A. C. (2020). Bridging the gap between the science of cultured meat and public perceptions. Trends in Food Science & Technology, 104, 144–152. https://doi.org/10.1016/j.tifs.2020.07.019
   Web of Science ®Google Scholar
• Tsfati, Y., Cohen, J., & Gunther, A. C. (2011). The influence of presumed media influence on news about science and scientists. Science Communication, 33(2), 143–166. https://doi.org/10.1177/1075547010380385
   Web of Science ®Google Scholar
• Verbeke, W., Marcu, A., Rutsaert, P., Gaspar, R., Seibt, B., Fletcher, D., & Barnett, J. (2015). ‘Would you eat cultured meat?’: Consumers’ reactions and attitude formation in Belgium, Portugal and the United Kingdom. Meat Science, 102, 49–58. https://doi.org/10.1016/j.meatsci.2014.11.013
   PubMed Web of Science ®Google Scholar
• Victor, D. G., & Bolstad, P. (2023, February 10). Good news about global warming: the public’s paying attention. Brookings. https://www.brookings.edu/blog/planetpolicy/2023/02/10/good-news-about-global-warming-the-publics-paying-attention/
   Google Scholar
• Wang, J., & Wang, X. (2019). Structural equation modeling: Applications using Mplus. John Wiley and Sons.
   Google Scholar
• Weinrich, R., Strack, M., & Neugebauer, F. (2020). Consumer acceptance of cultured meat in Germany. Meat Science, 162, 107924. https://doi.org/10.1016/j.meatsci.2019.107924
   PubMed Web of Science ®Google Scholar
• Wen, N., Chia, S. C., & Hao, X. (2017). Does gender matter? Testing the influence of presumed media influence on young people’s attitudes toward cosmetic surgery. Sex Roles, 76(7), 436–447. https://doi.org/10.1007/s11199-016-0680-4
   Web of Science ®Google Scholar
• Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. F. (1977). Assessing reliability and stability in panel models. Sociological Methodology, 8, 84. https://doi.org/10.2307/270754
   Google Scholar
• Wilks, M., & Phillips, C. J. (2017). Attitudes to in vitro meat: A survey of potential consumers in the United States. PLoS One, 12(2), e0171904. https://doi.org/10.1371/journal.pone.0171904
   PubMed Web of Science ®Google Scholar
• Wu, W., & Koo, S. H. (2001). Perceived effects of sexually explicit Internet content: The third-person effect in Singapore. Journalism & Mass Communication Quarterly, 78(2), 260–274. https://doi.org/10.1177/107769900107800204
   Web of Science ®Google Scholar
• Zillmann, D. & Bryant, J. (Eds.). (2013). Selective exposure to communication. Routledge.
   Google Scholar