scholarly journals Analysis of the Evolution of User Emotion and Opinion Leaders’ Information Dissemination Behavior in the Knowledge Q&A Community during COVID-19

2021 ◽  
Vol 18 (22) ◽  
pp. 12252
Author(s):  
Xu Xu ◽  
Zhigang Li ◽  
Rui Wang ◽  
Li Zhao
Keyword(s):  
Social Media ◽  
Social Network ◽  
Information Exchange ◽  
Information Dissemination ◽  
Opinion Leader ◽  
Opinion Leaders ◽  
Multiple Paths ◽  
Degree Of Control ◽  
Low Efficiency ◽  
High Degree

Since its emergence in 2019, COVID-19 has quickly triggered widespread public discussion on social media. From 26 February 2020 to 26 September 2020, this study collected data on COVID-19-related posts in the knowledge Q&A community, identified 220 opinion leaders of this community, and used social network analysis and sentiment analysis to analyze the information exchange behavior and emotional evolution of the opinion leaders during COVID-19. The results show that the COVID-19 topic community could be divided into seven main categories. The information dissemination of opinion leader information dissemination network had low efficiency, multiple paths, and a high degree of control. In addition, the emotional evolution of users showed obvious phased characteristics. User emotion changed from initially strong negative to strong positive over the course of the pandemic and eventually tended to be objective and neutral as time passed and the event stabilized.

scholarly journals Analisis Akun Twitter Berpengaruh terkait Covid-19 menggunakan Social Network Analysis

2021 ◽  
Vol 5 (4) ◽  
pp. 697-704
Author(s):  
Aprillian Kartino ◽  
M. Khairul Anam ◽  
Rahmaddeni ◽  
Junadhi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Dissemination ◽  
Interaction Network ◽  
Analysis Method ◽  
The Social ◽  
The World ◽  
High Degree

Covid-19 is a disease of the virus that is shaking the world and has been designated by WHO as a pandemic. This case of Covid-19 can be a place of dissemination of disinformation that can be utilized by some parties. The dissemination of information in this day and age has turned to the internet, namely social media, Twitter is one of the social media that is often used by Indonesians and the data can be analyzed. This study uses the social network analysis method, conducted to be able to find nodes that affect the ongoing interaction in the interaction network of information dissemination related to Covid-19 in Indonesia and see if the node is directly proportional to the value of its popularity. As well as to know in identifying the source of Covid-19 information, whether dominated by competent Twitter accounts in their fields. The data examined 19,939 nodes and 12,304 edges were taken from data provided by the web academic.droneemprit.id on the project "Analisis Opini Persebaran Virus Corona di Media Sosial", using the period of December 2019 to December 2020 on social media Twitter. The results showed that the @do_ra_dong account is an influential actor with the highest degree centrality of 860 and the @detikcom account is the actor with the highest popularity value of follower rank of 0.994741605. Thus actors who have a high degree of centrality value do not necessarily have a high follower rank value anyway. The study ignores if there are buzzer accounts on Twitter.  

scholarly journals Exploring Crisis Communication and Information Dissemination on Social Media: Social Network Analysis of Hurricane Irma Tweets

2020 ◽  
Vol 3 (2) ◽  
pp. 179-210 ◽  
Author(s):  
Xianlin Jin
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Crisis Communication ◽  
Information Diffusion ◽  
Information Dissemination ◽  
Opinion Leader ◽  
Communication Model ◽  
Hurricane Irma

This study utilized social network analysis to identify the top 10 Twitter influentials during the Hurricane Irma crisis period and examined the relationship between social media attributes and the bridge influence of controlling information flow. The number of a user’s followers and tweets significantly predicted one’s control of information. Crisis information tended to be shared in scattered subgroups. Social network boundaries impeded information diffusion, and the communication pattern was largely one-way. The findings partially supported the opinion leader argument while indicating that influentials can directly generate information, which is consistent with the social-mediated crisis communication model. Such findings will contribute to crisis literature and help emergency management professionals advance social media usage to disseminate crisis information, build effective communication, and provide immediate disaster relief responses

scholarly journals Efektivitas Website Desa Malasari Dan Peran Internet Opinion Leader (Effectiveness of Malasari Village Website and Role of Internet Opinion Leader)

2016 ◽  
Vol 14 (2) ◽  
Author(s):  
Siska Mulyawaty ◽  
Pudji Muljono ◽  
Kudang Boro Seminar
Keyword(s):  
Social Media ◽  
Information Quality ◽  
Information Dissemination ◽  
Opinion Leader ◽  
Opinion Leaders ◽  
Survey Method ◽  
Test Analysis ◽  
Website Quality ◽  
The Village

Utilization of Information and Communication Technology (ICT) is one solution to deliver information of governance and public services optimally to the village level. This research aimed to analyze website visitor characteristics, dimensions of website quality, role of internet opinion leader, and effectivenes of village website, also to analyze the correlation between three variables with effectiveness of village website. This study used correlational approach of quantitative. Data analysis used descriptive and inferential statistical analysis, also t-test analysis. Collecting data used a survey method by spreading e-questionnaire to 40 website visitors of two sample groups, active members of Facebook accounts Pewarta Desa Malasari and commenters on website. Based on the characteristics of website visitors, only indicator of monthly income and frequency of accessing website correlated significantly with effectiveness of village website. Information quality has strongest correlation with the effectiveness of village website, especially on the cognitive effects. The role of internet opinion leaders has no significant correlation with effectiveness of village website. Other findings showed that Facebook account of Pewarta Desa Malasari and Aji Panjalu acted as active internet opinion leaders. Village website can be effective as development information dissemination media by fullfil dimensions of website quality, and maximize the role of internet opinion leaders via social media. The use of social media has become important in supporting the existence of the village website, so it can do further research to see the relationship with the effectiveness of communication.Key words: effectivenness, village website, Facebook, internet opinion leader

Online Opinion Leaders in the Health Promotion Digital Era

2021 ◽  
Vol 37 (4) ◽  
pp. 295-309
Author(s):  
Joyce Cheah Lynn-Sze ◽  
◽  
Azlina Kamaruddin ◽  
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Social Media ◽  
Health Promotion ◽  
Health Communication ◽  
Opinion Leader ◽  
Well Being ◽  
Opinion Leaders ◽  
Structured Interviews ◽  
The Public

Health opinion leaders have widely embraced social media for health promotion and public health communication which can make a strong influence on the public decision making. However, despite the growing relevance of public health threats such as infectious diseases, pandemic influenza and natural disasters, research has paid little attention to the qualities of opinion leaders. Moreover, there is limited evidence that public health organisations use social media appropriately to engage in meaningful conversations with audiences. Thus, the aims of the study are to describe principles of communication practised by online opinion leaders to promote health issues, to discuss the strategies of social media used, to explain the opinion leaders’ influence attributes in health decision making and finally to develop a model of online opinion leader in the contemporary health promotion era. Content analysis was conducted on Facebook postings of five selected health opinion leaders. In addition, semi-structured interviews with 10 followers were conducted. The findings of the study revealed that there are three principles of communication practised by online opinion leaders, which are language, interaction and themes. There are three strategies opinion leaders use to influence the public: social connectivity, social support and social consultation. Furthermore, there are five opinion leaders’ attributes that influence the public’s decision making, namely personality, authenticity, trust/credibility, professional knowledge and social position. The model would be beneficial in educating and guiding the current public health opinion leaders in order to establish health and social well-being. Keywords: Online opinion leader, online health communication, public health, two-step flow theory, decision making.

INFORMATION EXCHANGES OF SOCIAL MEDIA EVANGELISTS DURING FLOOD: A SOCIAL NETWORK ANALYSIS

2016 ◽  
Vol 78 (9-3) ◽  
Author(s):  
Abdus-samad Temitope Olanrewaju ◽  
Rahayu Ahmad ◽  
Kamarul Faizal Hashim
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Structure ◽  
Information Dissemination ◽  
Network Structures ◽  
Analysis Technique ◽  
Types Of Information ◽  
Information Brokers

Information dissemination during disaster is very crucial, but inherits several complexities associated with the dynamic characteristics of the disaster. Social media evangelists (activists) play an important role in disseminating critical updates at on-site locations. However, there is limited understanding on the network structure formed and its evolution and the types of information shared. To address these questions, this study employs Social Network Analysis technique on a dataset containing 157 social media posts from an influential civilian fan page during Malaysia’s flood. The finding demonstrates three different network structures emerged during the flood period. The network structure evolves depending on the current state of the flood, the amount of information available and the need of information. Through content analysis, there were seven types of information exchanges discovered. These information exchanges evolved as the scale and magnitude of flood changes. In conclusion, this study shows the emergence of different network structures, density and identification of influential information brokers among civilians that use social media during disaster. Despite the low number of influential information brokers, they successfully manage their specific cluster in conveying information about the disaster and most importantly coordinating the rescue mission.

scholarly journals Media Sosial dan Connective Action: Studi Kasus Penggunaan Twitter sebagai Ruang Solidaritas selama Pandemi COVID-19

2021 ◽  
Vol 2 (1) ◽  
pp. 1-13
Author(s):  
Kristianto Kristianto ◽  
Abdul Basith Ramadhan ◽  
Fernandito Dikky Marsetyo
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Opinion Leader ◽  
Time Frame ◽  
Media Analysis ◽  
Opinion Leaders ◽  
Social Media Analysis ◽  
Connective Action

Tulisan ini membahas munculnya aksi solidaritas di media sosial Twitter. Dengan menggunakan kerangka teori connective action dan efektivitas gerakan di media sosial, tulisan ini bertujuan untuk menjelaskan bagaimana aksi solidaritas di Twitter muncul dan menjelaskan aktor yang terlibat di dalamnya. Selain itu, tulisan ini juga bertujuan untuk menjelaskan efektivitas dari aksi solidaritas. Penelitian dilakukan dengan analisis media sosial dan analisis konten. Penelitian menunjukkan bahwa aksi solidaritas yang muncul di Twitter merupakan respons atas situasi krisis akibat pandemi COVID-19. Meskipun merespons isu dalam rentang waktu yang sama dan menggunakan narasi yang serupa, aksi solidaritas yang dimunculkan oleh individu, organisasi, dan komunitas dilakukan secara personal dan tidak saling terikat secara langsung. Namun demikian, tidak semua aksi solidaritas mendapatkan impresi/engagement yang tinggi. Aktor yang menjadi opinion leader, yang dipengaruhi oleh faktor indegree, retweet dan mention, memiliki pengaruh besar dalam melakukan aksi solidaritas.    This article discusses the emergence of solidarity actions on Twitter social media. Using the framework of connective action and the effectiveness of social media movements, this paper aims to explain how solidarity actions on Twitter emerge and explain the actors involved in it. Besides, this paper also aims to explain the effectiveness of solidarity actions. The research was conducted with social media analysis and content analysis. Research shows that the solidarity action that appears on Twitter is a response to the crisis caused by the COVID-19 pandemic. Although responding to issues in the same time frame and using similar narratives, solidarity actions raised by individuals, organizations, and communities are carried out personally and are not directly tied to each other. However, not all solidarity actions received high impressions/engagement. Actors who are opinion leaders, who are influenced by indegree, retweet, and mention factors, have a big influence in carrying out solidarity actions.  Keywords: solidarity; crisis; opinion leader; twitter; connective action 

Trust-Aware Information Dissemination in Social Network

2011 ◽  
Vol 121-126 ◽  
pp. 2400-2404
Author(s):  
Bo Zhang ◽  
Yang Xiang
Keyword(s):  
Social Network ◽  
Information Dissemination ◽  
Computation Method ◽  
Effective Solution ◽  
Network Information ◽  
Trust Relationship ◽  
Network Interaction ◽  
Multiple Paths ◽  
Information Trust ◽  
Source Trust

Information dissemination security is a crucial factor for social network interaction. In this paper, we present a trust-aware information dissemination algorithm for social network in order to make the nodes transmitting more trustable information. Firstly, we propose information trust computation from two aspects: entity trust of information and source trust. Two above aspects can be integrated into whole trust of information. Likewise, we propose the trust relationship comutation method among nodes. Further, we present a multiple paths trust computation method (MPTC) for information dissmination in social network. Then, we address the trust-aware information dissemination algorithm (TIDA) based on above trust computaiton. Finally, our experiments show that TIDA is a feasible and effective solution for social network information dissemination.

scholarly journals Social Media Sites Use Intensity and Job Burnout Among the U.S. and Thai Employees

2017 ◽  
Vol 7 (1) ◽  
pp. 34-51 ◽  
Author(s):  
Peerayuth Charoensukmongkol ◽  
Murad Moqbel ◽  
Sandra Gutierrez-Wirsching
Keyword(s):  
Social Media ◽  
Social Network ◽  
Partial Least Squares Regression ◽  
Social Network Sites ◽  
Job Burnout ◽  
Personal Accomplishment ◽  
Moderate Degree ◽  
Least Squares Regression ◽  
High Degree ◽  
The U.S

This research explored the effect of social network sites (SNS) use intensity in the workplace on three aspects of job burnout. The data were collected from non-teaching employees from universities in the U.S. (N = 174) and in Thailand (N = 182). Results from partial least squares regression revealed some evidence of the u-curve relationship between SNS use intensity and depersonalization in both countries. However, the u-curve relationship between SNS use and lack of personal accomplishment is only supported in U.S. samples. This suggests that while a moderate degree of SNS use at work tends to lower burnout, a high degree of use appears to create more burnout. The results also reveal a strong positive linkage between SNS use intensity and emotional exhaustion in U.S. samples. Overall, these findings imply that allowing employees to use SNS can provide some benefits, but it is important that employees do not overuse SNS to avoid burnout.

scholarly journals Identifying student opinion leaders to lead e-cigarette interventions: protocol for a randomized controlled pragmatic trial

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kar-Hai Chu ◽  
Sara Matheny ◽  
Alexa Furek ◽  
Jaime Sidani ◽  
Susan Radio ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Pragmatic Trial ◽  
Opinion Leader ◽  
Opinion Leaders ◽  
Student Opinion ◽  
Randomized Controlled ◽  
School Based ◽  
Peer Leader

Abstract Background After the US Surgeon General declared youth electronic cigarette (e-cigarette) use an epidemic in 2018, the number of youth e-cigarette users continued to surge, growing from 3.8 million in 2018 to over 5 million 2019. Youth who use e-cigarettes are at a substantially higher risk of transitioning to traditional cigarettes, becoming regular cigarette smokers, and increasing their risk of developing tobacco-related cancer. A majority of youth are misinformed about e-cigarettes, often believing they are not harmful or contain no nicotine. Middle school students using e-cigarettes have been affected by its normalization leading to influence by their peers. However, social and group dynamics can be leveraged for a school-based peer-led intervention to identify and recruit student leaders to be anti-e-cigarette champions to prevent e-cigarette initiation. This study outlines a project to use social network analysis to identify student opinion-leaders in schools and train them to conduct anti-e-cigarette programming to their peers. Methods In the 2019–2020 academic school year, 6th grade students from nine schools in the Pittsburgh area were recruited. A randomized controlled trial (RCT) was conducted with three arms—expert, elected peer-leader, and random peer-leader—for e-cigarette programming. Sixth grade students in each school completed a network survey that assessed the friendship networks in each class. Students also completed pre-intervention and post-intervention surveys about their intention-to-use, knowledge, and attitudes towards e-cigarettes. Within each peer-led arm, social network analysis was conducted to identify peer-nominated opinion leaders. An e-cigarette prevention program was administered by (1) an adult content-expert, (2) a peer-nominated opinion leader to assigned students, or (3) a peer-nominated opinion leader to random students. Discussion This study is the first to evaluate the feasibility of leveraging social network analysis to identify 6th grade opinion leaders to lead a school-based e-cigarette intervention. Trial registration ClinicalTrials.gov NCT04083469. Registered on September 10, 2019.

scholarly journals A Social Network Analysis: Identifying Influencers in The COVID-19 Vaccination Discussion on Twitter

Compiler ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 99
Author(s):  
Muhammad Habibi ◽  
Puji Winar Cahyo
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Dissemination ◽  
User Behavior ◽  
Online News ◽  
Social Media Analytics ◽  
Government Organizations ◽  
The Republic

Social media analytics, especially Twitter, has experienced significant growth over the last few years. The data generated by Twitter provides valuable information to many stakeholders regarding user behavior, preferences, tastes, and characteristics. The presence of influencers on social media can invite interaction with other users. An influencer can affect the speed of spreading information on social media. This study looks at the influence of influencers and information dissemination channels on Twitter data related to COVID-19 vaccination in Indonesia as one of the hot Twitter discussion trends. This study applies Social Network Analysis (SNA) as a theoretical and methodological framework to show that interactions between users have differences on the network when the analyzed tweets are divided into mention and retweet networks. This study found that the key accounts in disseminating information related to Covid-19 vaccination were dominated by official accounts of government organizations and online news portals. The official Twitter account of government organizations turns out to have an essential role in disseminating information related to COVID-19 vaccination, namely the @KemenkesRI account belonging to the Ministry of Health of the Republic of Indonesia and the @Puspen_TNI account belonging to the TNI Information Center.

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