Research On The Construction Of User Participation Behavior Spectrum And The Measurement Of Behavior Intensity On Social Media Platform

Before the emergence of new media,public opinion was mainly disseminated through traditional media.With the rise of Internet technology,society has known and accepted the Internet as the most distinctive feature of widespread communication.As a typical representative of the development of Internet technology,social media is a tool and platform for people to share and exchange opinions,insights,experiences,and views with each other,social media has become an important way for users to publish and share information,and its influence has surpassed that of traditional media.The development of mobile Internet and the popularity of mobile terminal devices have made the content generation of social media platforms more convenient,and its influence is more indepth.The development of the mobile Internet and the popularization of mobile terminal devices have made social media platforms more convenient for content generation,and its influence is more profound and comprehensive.The overall trend is from traditional media to social media and from full media to integrated media.Globally,there are rich categories of social media platforms,mainly including Facebook,You Tube,Whats App,Instagram,We Chat,Tik Tok,Facebook Messenger,Jitterbug,QQ,Sina Weibo,Crypto,Snapchat,Telegram,Pinterest,Twitter,Reddit,Quora,etc.Different social media platforms have independent structures due to their main business functions,target user groups or other verticals,and differences in service provision for personalized needs.In contrast,the same user can have multiple associated accounts on the same social media platform or have different accounts registered on several different social media platforms,resulting in the same social media platform users having multiple networks.As a result,users of the same social media platform have multiple identities but highly similar behaviors,which makes up a huge cross-platform social media network.When an opinion event occurs,the information related to it generally does not spread only in a single-platform social network but also spreads rapidly in a cross-platform social network.Information dissemination in social media platforms mainly disseminating user generated content(UGC).The dissemination of user generated content in social media platforms has been realized through the human-computer interaction provided by the platform for users.The human-computer interaction provided by the platform includes,but is not limited to,the posting function,retweeting function,sharing function,commenting function,etc.Users can only generate and disseminate information through these limited functions provided by the platform.China’s social structure is pyramid-shaped,with a large population and overall literacy and civilization differences.When the network has popularized to all social classes,multiple complex user network identities and limited direct information generation and exchange methods dilute the civilized behavior of a few highquality people,leading to a complex network environment and breeding a large number of unhealthy network behaviors,such as cyberbullying and network fraud.Users generate the information content,and users cannot drive information dissemination.We analyze the production and dissemination of information on social media platforms by focusing on user behavior,i.e.,human-computer interaction,on all social media platforms,especially on the mainstream social media platforms with large user scale,a wide range of services,high economic volume and strong restrictive capacity,rather than on a single social media platform in China.And the concept of behavioral behavior spectrum is introduced to identify and reliably record all the participation behaviors of users on social media platforms that have been limited by the media and the limited functions provided by social media platforms,i.e.,the list of fixed behavioral patterns resulting from the way users’ activities in the outlets are constrained,and the participation behaviors of users on social media platforms are studied and explored,which is essential for the study of user information behavior theory It is also of great practical and social significance to measure the intensity of users’ participation behavior and to accurately guide the application of participation behavior on social media platforms.At the same time,we use FMEA theory combined with the measurement model of user participation behavior intensity on social media platforms,analyze and measure users’ participation behavior by using a large number of tools such as natural language processing,semantic recognition,and machine learning,discover the user groups that play a crucial role in public opinion events,quickly assess the severity of events,user communication,and participation behavior before the outbreak of public opinion events based on the existing historical behavior data,and measure the frequency of user participation behavior.We can measure the intensity of users’ participation behaviors based on historical behavioral data,so as to discover and identify the participation and activity of critical users in new information content generated by social media platforms in a more targeted manner and verify the applicability,accuracy,and operability of the model through empirical research.According to the level of participation and activity of different users,the model can be used to accurately push the content in three aspects: "fast,full,and deep" and create a water ripple effect to influence the overall trend of online events.This study hopes to combine theoretical and practical perspectives to conduct in-depth research on the construction of user participation behavior spectrum and behavior intensity measurement on social media platforms in an attempt to improve the monitoring and identification system of online public opinion to efficiently and comprehensively perceive the risk situation from the user’s perspective,to target the actual pushing to do an excellent job of prevention before the occurrence of public opinion crisis events,to do intense positive propaganda when public opinion crisis events occur,and to enrich the basic theory and practical application research of online public opinion.This study has based on the basic theory and practical application of public opinion.The main contents of this study are as follows.Chapter 1,Introduction.This chapter firstly discusses the background and theoretical and practical significance of the research on the construction of user participation behavior spectrum and behavior intensity measurement of social media platforms,then compares the research hotspots and current situation of online public opinion,information behavior,and behavior prediction at home and abroad,and finally,describes the research method and technical route of this study and summarizes the innovation points.Chapter 2,Related theory.This chapter of the study describes the fundamental ideas of online public opinion,information behavior,machine learning,and FMEA.The application value and practicality of their theories to this study are analyzed.Chapter 3: Development and Evolution of user participation behavior on Social Media platforms.This chapter analyzes the connotation and extension of user participation behavior in social media platforms,proposes the concept of user participation behavior in social media platforms based on the idea of computer modularity,and analyzes the vertical and horizontal dimensions of user participation behavior in social media platforms,examines the attributes,characteristics,and evolution of the elements of user participation behavior in social media platforms,and lays the foundation for the following This will lay the foundation for the proposed and establishment of user engagement behavior spectrum in the social media platform environment.Chapter 4,the construction basis of user engagement behavior spectrum in social media platform environment.Based on the study of user participation behavior in social media platforms in the previous chapter,the concept of user participation behavior spectrum in social media platforms has been proposed,and the connotation and extension of user participation behavior spectrum in social media platforms are analyzed;the components of behavior logical behavior spectrum are analyzed,and the concept of constructing user participation behavior spectrum in the environment of social media platforms is proposed.The features of the behavioral spectrum are analyzed.The typology,characteristics,influencing factors,and formation mechanism of the user participation behavior spectrum of social media platforms are analyzed,which provides theoretical support for the construction of the user participation behavior spectrum of social media platforms in the following.Chapter 5,the construction of the spectrum of user engagement behavior of social media platforms.By combining the research results in Chapters 3 and 4 of this study,the social media platforms included in the spectrum of user participation behavior of social media platforms are defined,and the functions of the platforms are analyzed based on this part of the platforms;the participation behaviors of the platforms are summarized through the analysis of platform functions,and the participation behaviors are filtered and reconstructed in conjunction with the purpose of this study;the user subjects of the spectrum of user participation behavior of social media platforms are defined in terms of the number of user friends/followers,user activity,user trustworthiness and user posting The user subjects of social media platform user participation behavior spectrum were defined from the perspectives of user friends/followers,user activity,user trustworthiness and user posting quality;the division of event categories in different social media platforms was analyzed,social media platform events were defined from the perspectives of event emotional polarity,event publicness and event sensitivity,and the observation experiment method was adopted to construct the social media platform user participation behavior spectrum,and the reliability of the constructed social media platform user participation behavior spectrum was evaluated,and the reliability of the constructed social media platform user participation behavior spectrum was verified.The reliability of the social media platform user engagement behavior spectrum was evaluated,and the applicability,accuracy,and operability of the range were verified,which further explains the establishment and implementation of the social media platform user engagement behavior intensity measurement model below.Chapter 6,the dimensions and distribution of behavioral intensity in the spectrum of user engagement behaviors on social media platforms.Based on the content of user engagement behavior of social media platforms dissected in chapters 3 and 4 of this study,combined with the social media platform user engagement behavior spectrum constructed in chapter 5 of this study,the concept of social media platform user engagement behavior intensity has been proposed.The principles of user engagement behavior intensity measurement have been elaborated,the three dimensions of user engagement behavior intensity have been analyzed in depth,and the association between social media platform user engagement behavior intensity and the user engagement behavior spectrum is detailed.Finally,the distribution pattern of the intensity of user engagement behavior on social media platforms has been discussed,which provides theoretical support for establishing the measurement model of the intensity of user engagement behavior on social media platforms.Chapter 7,the intensity measurement model of user engagement behavior on social media platforms.Based on the association between the social media platform user participation behavior spectrum and the social media platform user participation behavior intensity analyzed in Chapter 6of this study,the framework structure of the social media platform user participation behavior intensity measurement model is analyzed based on FMEA theory.The event severity measurement indexes have been designed from the perspective of event publicness,emotional polarity,and event sensitivity.The event severity measurement indexes have been created from the perspective of event publicness,dynamic polarity,and event sensitivity.The indicators of user communication degree have been designed from the perspective of the number of user friends/followers,user activity,user trustworthiness,and user posting quality,and the indicators of participation behavior frequency have been designed from the perspective of cognitive effort,information exposure,and user preference,and the event severity,user communication degree,and participation behavior frequency have graded to determine the intensity level of user participation behavior on social media platforms utilizing technology.We realize a model based on the intensity of user participation behavior on social media platforms and lay the foundation for the guidance strategy of user participation behavior on social media platforms.Chapter 8,empirical study.An empirical study has been conducted to verify the applicability,accuracy,and operability of the model proposed in this study for measuring the intensity of user engagement behavior on social media platforms.Chapter 9,social media platform user participation behavior guidance strategy.Based on the intensity level of user participation behavior on social media platforms,the corresponding guidance strategies have been proposed in a targeted manner.Chapter 10,Summary and Outlook.This chapter summarizes this study’s research content and findings and analyzes the research shortcomings and the follow-up research plan.