Research On The Emotional Evolution And Dissemination Mode Of Network Public Opinion Related To Face Recognition Technology

The continuous development and wide application of face recognition technology is profoundly changing the social production mode and people’s way of life,but the problems caused by it at the government,enterprise and individual levels are gradually becoming more prominent.To this end,domestic scholars have conducted in-depth research from multiple perspectives such as cases,policies,and laws.However,there are still some shortcomings in the existing research,such as a single research angle and insufficient research content sources.With the rapid development of the mobile Internet and the close integration of face recognition technology itself with the Internet,research from the perspective of network public opinion can better get close to the people and technology,and find problems and patterns from the application and dissemination levels.Therefore,this paper chooses to explore the development and application of face recognition technology from the perspective of network public opinion.The research of this paper includes the following four parts: Chapter 1Introduction,which states the background and significance of the topic selection,and puts forward the innovation points of this paper through the review of existing literature;Chapter 2,the data acquisition part,uses Baidu Index to select face recognition technology Topic events,we use crawler technology to crawl bloggers’ blog posts of corresponding events and their interactive forwarding information;the third and fourth chapters are the analysis part,taking blog posts and bloggers as the research objects respectively,through text sentiment analysis and co-occurrence network analysis and other technologies Explore the law of emotional evolution in related events and the different roles played by various opinion leaders.The fifth chapter is the conclusion part,which summarizes the rules and problems found in the previous article,and proposes corresponding solutions.Through the above research,it is found that: first,the emotional evolution of face recognition technology network public opinion conforms to the basic law of general public opinion,but the characteristics of high-tech attributes and the diversity of application scenarios endow it with unique laws in the process of public opinion dissemination.Second,the dissemination of online public opinion of face recognition technology among three types of opinion leaders: government official opinion leaders,non-government official opinion leaders,and individual opinion leaders has different characteristics and room for improvement.Third,different public opinion subjects,including the government,enterprises,and individuals,have problems in the supervision,use and dissemination of face recognition events.According to the laws and problems found in the research,this paper puts forward the following suggestions: the government should build a government public opinion media,improve the public opinion guidance mechanism,and at the same time clarify the boundaries of technology use and improve relevant laws and regulations;At the same time,actively cooperate with opinion leaders to grasp the direction of product promotion;individuals should improve their ability to identify public opinions,improve their awareness of privacy protection,and tap the potential of "personal opinion leaders" to achieve effective public opinion dissemination.