scholarly journals Mining Hot-Personae Approach Based on Local Social Microblog Graph

2019 ◽  
Vol 48 (4) ◽  
pp. 522-537
Author(s):  
Du Yajun ◽  
Biao Peng ◽  
FangHong Su ◽  
Fei Cheng ◽  
Shangyi Du
Keyword(s):  
Social Media ◽  
Online Social Networks ◽  
Nearest Neighbor ◽  
Daily Lives ◽  
Score Vector ◽  
Online Social Media ◽  
Target User ◽  
Social Media Platforms ◽  
Share Information ◽  
Novel Algorithm

With the increasing popularity of online social media platforms, netizens always chat with their friends and share information, such as what they like in their daily lives, on these platforms. Netizens publish tons of information on social platforms every day. These platforms converge many people and information. The processes by which the publishers find the sharers who are interested in their publications and the sharers find some interesting things and information in what the publishers published have resulted in the challenge of retrieving information from social network fields. To address these issues, we propose a novel algorithm, named Hot Persona Mining, to analyze the users' focus personae from microblog posts in the online social networks. During mining, we first utilize local-based graph clustering to establish the nearest neighbor nodes of target users. Then, we mine users' focused personae entities from their neighbors' published microblog posts in different periods. Then, we construct the users' active score vector and their interest matrix to mine the hot personae in every local social graph. The experimental results show that our algorithm effectively mines current focus of the target user, and exhibits good performance as shown by its precision, recall and F-measures.

Building City Brand Through Social Media

2019 ◽  
pp. 674-694
Author(s):  
Linda Lea Elisabet Muinonen ◽  
Ashish Kumar
Keyword(s):  
Social Media ◽  
Online Social Networks ◽  
Brand Image ◽  
City Branding ◽  
City Brand ◽  
Brand Communities ◽  
Online Social Media ◽  
Challenges And Opportunities ◽  
Social Media Platforms ◽  
Search For Information

The recent transition from city marketing to city branding heralds a new era of representation and signification of cities as brands where conscious and planned practices are used to promote them as any other economic commodity. Given the tremendous impact of social media on brand image, city branding has to embrace this new channel to promote their cities as brands. On social media platforms users forming a brand community can significantly influence the brand image by co-creating the user-generated contents. Today, users search for information online and their behaviors and responses are influenced by online social networks and community practices. In addition, they perceive information from online social community highly credible and useful. As traditional firm generated information is losing its persuasive power to social media, it is never late for managers of city branding to embark on social media platforms to support online social media brand communities which in turn would influence city brand image positively by engaging users. Social media provides an excellent platform for users to form social media brand communities, where they can share inside knowledge and discuss about brands. The greater credibility of user generated contents on these platforms can significantly influence the user perception about the brands. The focus of this paper is to investigate challenges and opportunities of online social media brand communities in influencing brand image.

scholarly journals Preference for Number of Friends in Online Social Networks

2021 ◽  
Vol 13 (9) ◽  
pp. 236
Author(s):  
Fanhui Meng ◽  
Haoming Sun ◽  
Jiarong Xie ◽  
Chengjun Wang ◽  
Jiajing Wu ◽  
...  
Keyword(s):  
Social Media ◽  
Social Relationships ◽  
Online Social Networks ◽  
Chinese Culture ◽  
Regional Distribution ◽  
Vulnerable Groups ◽  
Human Society ◽  
Online Social Media ◽  
Traditional Chinese Culture ◽  
Social Media Platforms

Preferences or dislikes for specific numbers are ubiquitous in human society. In traditional Chinese culture, people show special preference for some numbers, such as 6, 8, 10, 100, 200, etc. By analyzing the data of 6.8 million users of Sina Weibo, one of the largest online social media platforms in China, we discover that users exhibit a distinct preference for the number 200, i.e., a significant fraction of users prefer to follow 200 friends. This number, which is very close to the Dunbar number that predicts the cognitive limit on the number of stable social relationships, motivates us to investigate how the preference for numbers in traditional Chinese culture is reflected on social media. We systematically portray users who prefer 200 friends and analyze their several important social features, including activity, popularity, attention tendency, regional distribution, economic level, and education level. We find that the activity and popularity of users with the preference for the number 200 are relatively lower than others. They are more inclined to follow popular users, and their social portraits change relatively slowly. Besides, users who have a stronger preference for the number 200 are more likely to be located in regions with underdeveloped economies and education. That indicates users with the preference for the number 200 are likely to be vulnerable groups in society and are easily affected by opinion leaders.

Building City Brand through Social Media

2017 ◽  
pp. 181-201
Author(s):  
Linda Lea Elisabet Muinonen ◽  
Ashish Kumar
Keyword(s):  
Social Media ◽  
Online Social Networks ◽  
Brand Image ◽  
City Branding ◽  
City Brand ◽  
Brand Communities ◽  
Online Social Media ◽  
Challenges And Opportunities ◽  
Social Media Platforms ◽  
Search For Information

The recent transition from city marketing to city branding heralds a new era of representation and signification of cities as brands where conscious and planned practices are used to promote them as any other economic commodity. Given the tremendous impact of social media on brand image, city branding has to embrace this new channel to promote their cities as brands. On social media platforms users forming a brand community can significantly influence the brand image by co-creating the user-generated contents. Today, users search for information online and their behaviors and responses are influenced by online social networks and community practices. In addition, they perceive information from online social community highly credible and useful. As traditional firm generated information is losing its persuasive power to social media, it is never late for managers of city branding to embark on social media platforms to support online social media brand communities which in turn would influence city brand image positively by engaging users. Social media provides an excellent platform for users to form social media brand communities, where they can share inside knowledge and discuss about brands. The greater credibility of user generated contents on these platforms can significantly influence the user perception about the brands. The focus of this paper is to investigate challenges and opportunities of online social media brand communities in influencing brand image.

scholarly journals ONLINE MEDIA AND ESTABLISHMENT OF STUDENTS' RELIGIOUS UNDERSTANDING IN MADRASAH ALIYAH KENDARI CITY

Al-Qalam ◽  
2021 ◽  
Vol 27 (1) ◽  
pp. 143
Author(s):  
Paisal Paisal
Keyword(s):  
Social Media ◽  
Religious Discourse ◽  
Online Media ◽  
Learning Material ◽  
Daily Lives ◽  
Positive Side ◽  
Online Social Media ◽  
Research Problems ◽  
Social Media Platforms ◽  
Religious Understanding

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>This study used a qualitative descriptive method with research problems: How do Madrasah Aliyah students practice religious discourse from online media in their daily lives?, and how do teachers respond and align the religious understanding of Madrasah Aliyah students who interact with the religious discourse from online media?. The research location was in Kendari City, Southeast Sulawesi. The informants were 25 students at MAN 1 Kendari and MAS Ummushabri. The research results found that Madrasah Aliyah students are quite active in accessing religious preaching content using online social media platforms. The online media that is most accessed and used for religious content are Instagram and YouTube in the form of audio-visual videos. The rest are interested in reading status and articles considered to be in line with their understanding. Some of the students follow several popular preachers who are actively spreading religious content on social media. Influenced by online media, some students questioned and challenged the basis of the country, religious traditions, and local traditions addressed to their teachers, families, and relatives. In daily behavior, there is a positive side. Students are more diligent in worshiping and assembling in the Mosque. Madrasah and teachers have issued several protective policies to protect students from easily exposed to radical ideology. The responses and policies include limiting the use of cellphones in schools, intensive religious guidance provided by the teacher, protecting outside groups from entering and providing religious guidance to students, and enrich learning material with religious moderation content on a limited scale.</span></p></div></div></div>

Dynamic, Incremental, and Continuous Detection of Cyberbullying in Online Social Media

2021 ◽  
Vol 15 (3) ◽  
pp. 1-33
Author(s):  
Charalampos Chelmis ◽  
Daphney-Stavroula Zois
Keyword(s):  
Social Media ◽  
Online Social Networks ◽  
Data Driven ◽  
Online Behavior ◽  
Online Social Media ◽  
Repetitive Process ◽  
Novel Approach ◽  
Repetitive Nature ◽  
Social Media Platforms ◽  
Cyberbullying Detection

The potentially detrimental effects of cyberbullying have led to the development of numerous automated, data-driven approaches, with emphasis on classification accuracy. Cyberbullying, as a form of abusive online behavior, although not well-defined, is a repetitive process, i.e., a sequence of aggressive messages sent from a bully to a victim over a period of time with the intent to harm the victim. Existing work has focused on harassment (i.e., using profanity to classify toxic comments independently) as an indicator of cyberbullying, disregarding the repetitive nature of this harassing process. However, raising a cyberbullying alert immediately after an aggressive comment is detected can lead to a high number of false positives. At the same time, two key practical challenges remain unaddressed: (i) detection timeliness, which is necessary to support victims as early as possible, and (ii) scalability to the staggering rates at which content is generated in online social networks. In this work, we introduce CONcISE , a novel approach for timely and accurate Cyberbullying detectiON in online social media SEssions. CONcISE is a two-stage online approach designed to reduce the time to raise a cyberbullying alert by sequentially examining comments as they become available over time, and minimizing the number of feature evaluations necessary for a decision to be made for each comment. Extensive experiments on a real-world Instagram dataset with users and comments demonstrate the effectiveness, scalability, and timeliness of our approach and its benefits over existing methods. Additional experiments using a Twitter dataset offer evidence in support of the potential generalizability of CONcISE to other social media platforms.

Understanding the Role of Online Media Platforms in Airport Capital Projects and Community Outreach

2021 ◽  
pp. 036119812199347
Author(s):  
Max Z. Li ◽  
Megan S. Ryerson
Keyword(s):  
Social Media ◽  
Best Practices ◽  
Community Outreach ◽  
Capital Projects ◽  
The Public ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Project Phases ◽  
Media Channels ◽  
Common Content

Community outreach and engagement efforts are critical to an airport’s role as an ever-evolving transportation infrastructure and regional economic driver. As online social media platforms continue to grow in both popularity and influence, a new engagement channel between airports and the public is emerging. However, the motivations behind and effectiveness of these social media channels remain unclear. In this work, we address this knowledge gap by better understanding the advantages, impact, and best practices of this newly emerging engagement channel available to airports. Focusing specifically on airport YouTube channels, we first document quantitative viewership metrics, and examine common content characteristics within airport YouTube videos. We then conduct interviews and site visits with relevant airport stakeholders to identify the motivations and workflow behind these videos. Finally, we facilitate sample focus groups designed to survey public perceptions of the effectiveness and value of these videos. From our four project phases, to maximize content effectiveness and community engagement potential, we synthesize the following framework of action items, recommendations, and best practices: (C) Consistency and community; (O) Organizational structure; (M) Momentum; (B) Branding and buy-in; (A) Activity; (T) Two-way engagement; (E) Enthusiasm; and (D) Depth, or as a convenient initialism, our COMBATED framework.

A Survey of Computational Methods for Online Mental State Assessment on Social Media

2021 ◽  
Vol 2 (2) ◽  
pp. 1-31
Author(s):  
Esteban A. Ríssola ◽  
David E. Losada ◽  
Fabio Crestani
Keyword(s):  
Social Media ◽  
Mental Disorders ◽  
Mental State ◽  
Extraction Process ◽  
State Assessment ◽  
Future Research ◽  
Linguistic Markers ◽  
Online Social Media ◽  
Suicide Behaviour ◽  
Social Media Platforms

Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using online digital records. The presented studies are organised according to the assessment technology and the feature extraction process conducted. We also present a series of studies which explore different aspects of the language and behaviour of individuals suffering from mental disorders, and discuss various aspects related to the development of experimental frameworks. Furthermore, ethical considerations regarding the treatment of individuals’ data are outlined. The main contributions of this survey are a comprehensive analysis of the proposed approaches for online mental state assessment on social media, a structured categorisation of the methods according to their design principles, lessons learnt over the years and a discussion on possible avenues for future research.

Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks

2021 ◽  
pp. 1-13
Author(s):  
C S Pavan Kumar ◽  
L D Dhinesh Babu
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Membership Function ◽  
Online Social Networks ◽  
Learning Model ◽  
Feature Engineering ◽  
Machine Learning Model ◽  
Social Media Platforms

Sentiment analysis is widely used to retrieve the hidden sentiments in medical discussions over Online Social Networking platforms such as Twitter, Facebook, Instagram. People often tend to convey their feelings concerning their medical problems over social media platforms. Practitioners and health care workers have started to observe these discussions to assess the impact of health-related issues among the people. This helps in providing better care to improve the quality of life. Dementia is a serious disease in western countries like the United States of America and the United Kingdom, and the respective governments are providing facilities to the affected people. There is much chatter over social media platforms concerning the patients’ care, healthy measures to be followed to avoid disease, check early indications. These chatters have to be carefully monitored to help the officials take necessary precautions for the betterment of the affected. A novel Feature engineering architecture that involves feature-split for sentiment analysis of medical chatter over online social networks with the pipeline is proposed that can be used on any Machine Learning model. The proposed model used the fuzzy membership function in refining the outputs. The machine learning model has obtained sentiment score is subjected to fuzzification and defuzzification by using the trapezoid membership function and center of sums method, respectively. Three datasets are considered for comparison of the proposed and the regular model. The proposed approach delivered better results than the normal approach and is proved to be an effective approach for sentiment analysis of medical discussions over online social networks.

scholarly journals Instagram Influencer Analysis for Top 5 Categories in Turkey

2021 ◽  
Vol 12 (44) ◽  
pp. 22-36
Author(s):  
Busra ERTOGRUL ◽  
Gizem KILICSIZ ◽  
Aysun BOZANTA
Keyword(s):  
Social Media ◽  
Digital Identity ◽  
Ordinary People ◽  
Daily Lives ◽  
Social Media Platforms ◽  
The Difference ◽  
Marketing Tool ◽  
Use Of Social Media ◽  
The Relationship ◽  
New Jobs

Social media platforms have become an inevitable part of our daily lives. Companies that noticed the intense use of social media platforms started to use them as a marketing tool. Even ordinary people have become famous by social media and companies have been sending their products to them to try and advertise. Many people have gained a considerable amount of money in this way and today new jobs are emerged like "Youtuber" and "Instagram Influencer". Therefore, ordinary people realized the power of social media and many people started to strength their digital identity over social media. The question raising in people’s mind is that “What is the difference between the influencers and the ordinary people who have also digital identity over social media?”. This study examined Instagram influencers for five categories namely fashion, makeup, photography, travel, and fitness in Turkey. As an exploratory study, the relationship between the influencers’ average number of posts, the number of likes, the number of views, the number of comments, number of followers, and the number of following were examined. As well as the engagement rates of the followers to the influencers were calculated. In addition, the words they mostly used in the captions of the posts were examined.

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