Research On The Spreading Model Of Online Public Opinion In The International Public Opinion Sphere Considering Human-bot Interaction

The intelligent connectivity of all things has given rise to the technological boom paving the way to the quietly approaching intelligent communication era.Artificial intelligence-based technologies,such as Chat GPT,are thriving.By relying on tons of data,algorithms,and computational power,they have shaped the country’s core resources,and are gradually becoming powerful agents of change in the dissemination of information in the international public opinion sphere.Nowadays,the world is in facing of unprecedented changes,and the highly developed social media space has given rise to an exceptionally active and powerful public opinion sphere.The ecology of social media is shifting from a human-centric paradigm to a symbiotic state of human-bot interaction.Social bots have proliferated as a"new race",progressively transmuting into"communication subjects"with dynamic involvement from a medium facilitating contact to an entity with individualized qualities becoming increasingly important.In the future,they may certainly become a"invisible hand,"exerting a profound influence on both the international public opinion sphere and the corporal world.It is imperative to note that social bots are essentially intelligent algorithms that can interact with human users and disseminate public opinion information on social media platforms.This behavior conducive to information dissemination is equally applicable to the dissemination of both negative and positive information.Hence,in the face of this"double-edged sword"of public opinion,it is of great theoretical and practical significance to study its dissemination characteristics,behavioral patterns,as well as its negative effects and positive values in public opinion dissemination.This thesis is anchored in the features of human-bot interaction and adopts a cross-disciplinary research perspective.It designs the research contents according to the logic of"extraction of dissemination characteristics,analysis of interaction mechanism,modeling negative online public opinion dissemination,modeling positive online public opinion dissemination,and extracting governance strategies".Specifically,beginning with the extraction of dissemination characteristics between social bots and human users in the international public opinion sphere.Then,delving into the intricate interplay and coupling mechanisms between human and bot.Next,focusing on the construction of dynamic models to elucidate the roles of social bots in both the dissemination of negative and positive online public opinion.At last,extracting of governance strategies of social bots penetrating the international public opinion sphere.By comprehensively applying interdisciplinary methods such as data mining,social network analysis,and complex network and information dissemination dynamics modeling,we systematically outline the dissemination characteristics and behavioral patterns of the coupled interaction between social bots and human users,with a view to contributing to the development of interdisciplinary research on online public opinion dissemination in the international public opinion sphere.The major concerned of this thesis are as follows.Firstly,mining the characteristics of social media users in the international public opinion sphere from the perspective of human-bot communication.Utilizing Mpox,a public health event of international concern,as an empirical case study and scraping a corpus of 229 690 tweets from Twitter,we identify accounts operated by social bots.Based on the theory of user portrait,and employing data mining and social network analysis,we undertake an in-depth comparative analysis across multiple dimensions.These dimensions include characteristics,emotions,and social network structures,with the objective of elucidating the behavioral patterns and dissemination norms exhibited by social bots and human users in the international public opinion sphere.Secondly,exploring the dissemination mechanisms of coupled interactions in a dual-layer network consisting of bot accounts and human accounts.Based on dual-layer correlation network model and infectious disease dynamics model,we formulate an S_AI_AS_A-S_BE_BI_BR_Bdynamical system to investigate the dissemination behaviors and mechanisms of the coupled interaction between the layer of social bots and human users.Combining empirical data and numerical simulation methods,Matlab is used to generate scale-free networks to simulate the dissemination behaviors of social bots and human users within their individual network layers,as well as the influence of the two types of groups on each other’s dissemination under the coupled interaction of dual-layer networks.And then reveals the online public opinion dissemination behaviors of the international public opinion sphere under the coupled interaction of social bots and human users.Thirdly,constructing a dynamic model of social bots’participation in negative online public opinion dissemination in the context of information-group interaction.Inspired by predator-prey and competition models based on Lotka-Volterra,the SRP₁P₂model is constructed along two axes:the interaction between factual and non-factual information and the interaction with human users.Combining existing research data and numerical simulation methods,Matlab is used to simulate the dynamic process of social bots participating in the dissemination of negative online public opinion,and analyze the interaction between the negative online public opinion disseminated by social bots and the positive online public opinion in the international public opinion sphere,as well as its influence on the human users’dissemination behavior.Additionally,we delineate intervention measures that could effectively curtail the large-scale dissemination of negative online public opinion by social bots.Fourthly,simulating a dynamic model of social bots’participation in positive online public opinion dissemination in the context of cooperative and competitive interaction dynamics.Drawing inspiration from Lotka-Volterra modeling and considering the competitive relationship between the positive online public opinion disseminated by social bots and the negative online public opinion in the international public opinion sphere,we constructed a differential equation system of social bots’participation in the dissemination of positive online public opinion and analyzed the stability of the model.Utilizing Matlab to simulate the perturbation effects on the system under varying conditions,such as alterations in initial conditions,control parameters,and system carrying capacity.We analyze the dynamic evolution of positive online public opinion disseminated by social bots in relation to the existing negative online public opinion in the international public opinion sphere,as parameters are adjusted.Based on the results,we propose corresponding intervention measures and governance strategies to control or manage real-world problems.Finally,summarizing the governance strategies of social bots penetrating the international public opinion sphere in the era of intelligent media.By comprehensively considering the research from Chapter 3 to Chapter 6,we focus on the neutrality of social bots,and follow the logic of"bottom-level algorithmic governance;top-level organizational governance;global collaborative governance"to summarize the governance strategies of the international public opinion ecosystem in which social bots coupled and interacted with human users.In terms of regulating the impartiality of algorithms,utilizing the advantages of technologies,exerting the role of the government,fulfilling the responsibility of platforms,and deepening international cooperation.