Research of Public Opinion Based on Opinion Leaders and Saturated Contact Rates

Author(s):  
Shan Liu ◽  
Chenyang Qian ◽  
Qiting Tan ◽  
Miaoru Zhang ◽  
Rui Xia ◽  
...  
2020 ◽  
Author(s):  
Wanqi Gong ◽  
Qin Guo

BACKGROUND Physician-patient conflicts have increased more than ten times from the 2000s to 2010s in China and arouse heated discussion on microblog. However, little is known about similarities and differences among views of opinion leaders from the general public, physician, and media regarding physician-patient conflict issues on microblog. OBJECTIVE This study aimed to explore how opinion leaders from physician, the general public, and media areas framed the posts on major physician-patient conflict issues on microblog. Findings will provide more objective evidence of trilateral (health profession, general public, and media) attitudes and perspectives on physician-patient conflicts. METHODS A comparative content analysis was conducted to examine the posts (N=545) from microblog opinion leaders regarding the major physician-patient conflicts in China from 2012 to 2017. RESULTS Media used significantly more conflict (M=0.16) and attribution frames (M=0.16) but least popularize medical science frame (M=0.03) than physician (M=0.06, p<0.001; M=0.06, p<0.001; M=0.08, p=0.035, respectively) and general public opinion leaders (M=0.06, p<0.001; M=0.09, p=0.003; M=0.12, p<0.001, respectively). There are no significant differences in the use of conflict, cooperation, negative and popular science frames between general public and physician opinion leaders. CONCLUSIONS This imbalanced use of frames by media would cultivate and reinforce the public perception of physician-patient contradiction. The physician and general public opinion leaders share some commons in post frames, implying that they do not have a fundamental discrepancy on physician-patient conflict issues. It is essential to guide and encourage media microbloggers to make every effort to popularize medical science and improve physician-patient relationships.


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Weizhe Zhang ◽  
Xiaoqiang Li ◽  
Hui He ◽  
Xing Wang

Public opinion emergencies have important effect on social activities. Recognition of special communities like opinion leaders can contribute to a comprehensive understanding of the development trend of public opinion. In this paper, a network opinion leader recognition method based on relational data was put forward, and an opinion leader recognition system integrating public opinion data acquisition module, data characteristic selection, and fusion module as well as opinion leader discovery module based on Markov Logic Networks was designed. The designed opinion leader recognition system not only can overcome the incomplete data acquisition and isolated task of traditional methods, but also can recognize opinion leaders comprehensively with considerations to multiple problems by using the relational model. Experimental results demonstrated that, compared with the traditional methods, the proposed method can provide a more accurate opinion leader recognition and has good noise immunity.


2016 ◽  
Vol 225 ◽  
pp. 122-144 ◽  
Author(s):  
Joyce Y. M. Nip ◽  
King-wa Fu

AbstractThis article examines the prominence of various user categories as opinion leaders, defined as initiators, agenda setters or disseminators, in 29 corruption cases exposed on Sina Weibo. It finds that ordinary citizens made up the largest category of initiators but that their power of opinion leadership was limited as they had to rely on media organizations to spread news about the cases. News organizations and online media were the main opinion leaders. Government and Party bodies initiated a fair number of cases and, despite not being strong agenda setters or disseminators, were able to dominate public opinion owing to the fact that news organizations and online media mainly published official announcements about the cases. Media organizations also played a secondary role as the voice of the people. While individuals from some other user categories were able to become prominent opinion leaders, news workers are likely to be the most promising user category to challenge official propaganda.


2021 ◽  
Vol 3 (2) ◽  
pp. 88-109
Author(s):  
Anna V. Shentyakova ◽  
Nikolai V. Grishin

The paper presents the results of using the cognitive mapping method to analyze the messages from video bloggers which were popular among Russian youth and covered protest actions in Russia in 2019-2020. The cognitive mapping method has not previously been used to interpret the information messages of representatives of the protest movement in modern Russia. The objective of the study is to identify the value systems, priorities, individual logical chains of opinion leaders in the Russian language segment of YouTube video hosting. The research sample was based on a two-step model, including the selection of 20 video bloggers who are considered to be the most popular among Russian protest youth as well as the selection of information materials for further analysis. For each leader of public opinion, several cognitive maps were built regarding the coverage of protest actions in 3 cases (the protests in Yekaterinburg in 2019, in Moscow after the Moscow City Duma elections in 2019 and in Khabarovsk in 2020). The cognitive mapping method made it possible to analyze the perception and interpretation of the protest actions taken by public opinion leaders who are opposed to the ruling party. The results of cognitive mapping reveal the value systems of the interpreters of political events who are popular among young people. The system of values, expressed in the interpretation of protest actions, presupposes the dominance of liberal guidelines, ideas of the rule of law and civil society.


2017 ◽  
Vol 33 (4) ◽  
pp. 650-683 ◽  
Author(s):  
Yinying Wang ◽  
David J. Fikis

The purpose of this study is to examine the public opinion on the Common Core State Standards (CCSS) on Twitter. Using Twitter Application Program Interface (API), we collected the tweets containing the hashtags #CommonCore and #CCSS for 12 months from 2014 to 2015. A Common Core corpus was created by compiling all the collected 660,051 tweets. The results of sentiment analysis suggest Twitter users expressed overwhelmingly negative sentiment toward the CCSS in all 50 states. Five topic clusters were detected by cluster analysis of the hashtag co-occurrence network. We also found that most of the opinion leaders were those who expressed negative sentiment toward the CCSS on Twitter. This study for the first time demonstrates how text mining techniques can be applied to education policy research, laying the foundation for real-time analytics of public opinion on education policies, thereby informing policymaking and implementation.


2021 ◽  
Vol 2 (3) ◽  
pp. 126-128
Author(s):  
Xinhua Li ◽  
Zichen Li

Internet public opinion is an influential and tendentious opinion or speech expressed by the public on the Internet to a certain focus, which has formed a powerful force of public opinion. Internet public opinion has become a concentrated reflection of public opinion, opening up another channel to truly reflect public opinion, and effectively promoting the supervision of government officials and their decisions. In view of the strong emotional weakness of the current network public opinion, we can train forum opinion leaders to guide the public opinion with affinity and consideration, and select and enlarge the network public opinion by connecting the traditional media.


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