Internal medicine

Pathology

Sociology

Ideology

Economic growth

Food safety

Biology

Politics

The Internet

World Wide Web

Multinomial logistic regression

Machine learning

Logistic regression

Political science

China

Psychology

Economics

Ecology

Family income

Computer science

Sustainability

Medicine

Social psychology

This study explores the causal relationship between Internet users’ ideologies and their corresponding attitudes to genetically modified (GM) food safety. Using the 2015 Chinese Internet User Survey data (N = 3780) as a representative sample of Internet users from China, the study investigates factors influencing people’s attitudes to GM food safety. Multinomial Logistic Regression Models are applied to examine the effects of demographic features (gender, age, education, family annual income, location, CPC membership, and occupation) and ideological factors (general ideology, political ideology, economic ideology, and cultural ideology) on attitudes to GM food safety. The results demonstrate that the percentage of people whose attitude is that “GM food is risky” (35.1%) surpasses those who think “GM food is safe” (20.4%). The young generation respondents think that GM food is safe, while those with higher levels of income and education are more inclined to view GM food as risky. In addition, public sector employees tend to think that GM food is risky. Respondents characterized with right-wing ideology in general tend to regard GM food as safe, compared to left-wing ideologists. However, their attitude varies in different ideological dimensions of politics, economics, and culture. This paper contributes new insights into understanding ideological influences on science development and sustainability.

The Effect of Ideology on Attitudes toward GM Food Safety among Chinese Internet Users