Public opinions on autonomous vehicles (AVs) are a very key factor that impacts design, research and development of AVs technology and innovation. This paper/presentation, taking public opinions on AVs from newspapers as a tiny focus, randomly sampled 12 online articles from The Sun, 22 from the Wall Street, and 11 from the China Daily for text analysis. By using method of Qualitative Data Analysis and software NVivo, the documents were coded and categorised into 4 subsets based on clustering analysis and frequency of words. Cross analysis revealed the different focuses and structures of the AVs public reports in the three media. These statistical results might be of invalidity as the samples were limited. But the comparison could still show, in some way, partial features of the dynamic media attitudes to the AVs innovation in different societies.