## 3 Result Analysis
### Spatial Differences Analysis  
Based on the obtained reviewers' location information, the regional distribution of the commentators is calculated to reflect public concern about food waste in different regions. The discussion of food waste covers each province and municipality across the country. Particularly, comments from Beijing, Guangdong, and Shanghai account for 12.07%, 11.34%, and 6.57%, respectively. As one of the most developed areas in China, Beijing, Shanghai, and Guangzhou are mostly selected to try the relevant measures for stopping food waste (for example: Food waste is incorporated into social norms in Shanghai. Guangzhou plans to legislate against food waste). Therefore, the public concern about food waste is comparatively high. The regions with more than 4.50% of the people participating in the discussion are Jiangsu, Zhejiang, Shandong, and Sichuan, all of which are populous and economically developed. There is lower public participation in discussion about food waste in the southwest and northwest regions, such as Tibet, Qinghai, and Gansu. Next, this paper analyzes the spatial distribution characteristics of public emotional response in different regions after release-style communication (see Table 1). In the left table, the public support intention is higher in West China than in East China. Specifically, the support intention of Beijing, Yunnan, Guangdong, Hainan, Macao, and Hong Kong are the lowest relatively. From the right table, we can see that the public has a higher implementation intention in the Midwest. The changes in public support and implementation intention in different regions are analyzed before and after release-style communication. Furthermore, this study uses the T-test to analyze the significant level of public emotion changes in each region (see Figures 4 and 5). It is observed that there is a gap in support intention across the country before release-style communication, but the emotional mean is positive in general. After the release-style communication, 11 regions including Gansu, Guangxi, Guizhou, and Qinghai have increased their support intention. Six regions, including Beijing, Guangdong, and Hainan, have reduced their support intention, and 17 regions, including Anhui, Jiangsu, Henan, Shandong, and elsewhere, show lower support intention at different levels. It is remarkable that the support intention has changed significantly in three regions of Beijing, Guangdong, and Fujian. By analyzing the text data, the initiatives, and measures of \"Saving Food and Refusing Waste\" initiated by social organizations from all walks of life have a great impact on the public support intention. For example, some colleges and  
Figure 3: The evolution of public sentiment about food waste (**a**) and the EMD figure (**b**). universities reasonably guide students to reduce waste, which is supported by the groups of students. Short videos posted by public figures on \"No Food Waste\" have received enthusiastic responses from fans. A newspaper reporter criticizes that eating hot pot with three bowls of small ingredients is food waste, which arouses a lot of public discontent. Besides, boxed lunches in a restaurant in male and female versions causes significant resentment. Therefore, the reasonableness or otherwise of measures to stop food waste after release-style communication has a polarizing effect on the public support intention. In addition, the change of support intention in Beijing shows the most dramatic significance level (\(p<0.001\)). On the one hand, population density and consumption levels have an important impact on food waste [47]. On the other hand, big cities tend to be selected to try measures for stopping food waste. Beijing bears the brunt as the national political center. Some unreasonable measures cause public's negative emotions. One manifestation is that there are a lot of negative words in the comments, such as \"crazy\", \"madness\", and \"insane\", leading to drastic changes in support intention.