Thank you for your encouraging feedback on the potential reach of the findings. We have added at statement to this effect in the Discussion: Although based on a restricted area of exploration, Australian print news media only, our findings may have much broader significance for worldwide social trends and prompt the need for ongoing analysis of media reporting of obesity and weight-related public health policy. Future research could also extend our word embedding analysis to policy texts themselves, to draw direct correlations between media and policy data sources.
The manuscript by Grant el al., is an interesting study in which they exhaustively utilized a very large database generated for almost 3 decades to analyze the representation of obesity and public health policy and its association with gender, healthiness, social status, and negative stereotypes by using machine learning and computational language analysis approach.