scholarly journals INFLUENCER COMMUNICATION ON THE SOCIAL NETWORK INSTAGRAM

2021 ◽  
Vol 11 (2) ◽  
pp. 107-111
Author(s):  
EVA KALINOVÁ ◽  
ADÉLA NEUBERGOVÁ
Keyword(s):  
Social Media ◽  
Social Network ◽  
Analysis Data ◽  
Target Groups ◽  
Classification Analysis ◽  
Social Media Networks ◽  
The Social ◽  
Subsequent Comparison

The topic of influencers has been a widely used word in recent years. It is a person who, through social media networks, influences the target groups of their followers. The aim of this paper is to analyze the communication of selected influencers on the social platform Instagram. Using classification analysis, data on individual influencers are presented. For the sake of interesting results and the proof that the success of an influencer does not only depend on how many followers they have on their profile, the influencers were selected with the help of respondents who assessed them independently. The data were obtained on the social platform Instagram and subsequently processed on the basis of the last five contributions as of April 3, 2020. This work is focused mainly on the number of responses to influencers in the form of likes or comments, furthermore we also calculate what share of their contributions is from 2020, mainly due to the fact that influencers on Instagram started to become known mostly in that year. The statistics of individual Instagram profiles and their subsequent comparison with each other are presented. The results show that it does not entirely depend on how many followers an influencer has, but that it depends more on the quality and impact of individual posts.

A Study Regarding Human Perception of a Company through Social Media

2019 ◽  
Vol 34 ◽  
pp. 309-314
Author(s):  
Mirona Ana Maria Popescu ◽  
Olivia Doina Negoiță ◽  
Anca Purcărea ◽  
Markus Helfert
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Human Perception ◽  
Social Media Networks ◽  
Online Social Media ◽  
The Social ◽  
Key Indicators ◽  
Different Characteristics ◽  
A Company

Of the utmost importance is finding the social networks that best fit to an industry, a company, its products / services, and last but not least, with the target audience. Each social network has different characteristics and, in addition, a different philosophy.The authors aim to carry out a bibliographic research in this paper to highlight the extent to which social networks are used. As a result, a top of social networks will be built to help raise awareness, promote products, and consolidate a strong customer-company relationship. The authors will also realize a statistical analysis of online social media networks to determine their key indicators, traffic on each platform, time spent by a user on that platform, and other key indicators, through an online tool. The results of this paper consist in presenting two classifications: the first from the perspective of the companies and the second from the perspective of social network users.

PP066 Disseminate Results Through Social Video And Social Networks

2017 ◽  
Vol 33 (S1) ◽  
pp. 101-102 ◽  
Author(s):  
Susanne Eksell ◽  
Debora Egenvall
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Services ◽  
Cost Effective ◽  
Target Groups ◽  
Editorial Committee ◽  
Social Media Networks ◽  
Patient Organizations ◽  
The Social ◽  
Adobe Premiere

INTRODUCTION:We are experiencing a fundamental change in the way our target groups interact with information online, moving from passive consumption to more active creation of content, for example social video and social networks. This means a great potential in reaching more people in a cost-effective way which in the end will result in greater impact.METHODS:The Swedish Agency for Health Technology Assessment and Assessment of Social Services (SBU), have developed an easy way to produce and disseminate our results through social video and social networks.SBU has a special social media editorial committee for communication via social media, which includes participants from different departments. The editorial committee discusses on a weekly basis the issues to be raised on the agency's Twitter and LinkedIn accounts.SBU works actively with social video as a message channel. During the past year several videos have been published with various themes (1 - 3). All of the members of the social media committee have attendend a short training course in order to be able to produce and publish social videos. For shorter production, we make ourselves with iPhones and editing with iMovie or Adobe Premiere Pro. For more extensive videos we produce together with a production agency.RESULTS:The number of followers on Twitter have increased from 500 in December 2015, to 1,400 in December 2016. Our followers are for example professors, doctors, nurses, physiotherapists, journalists, politicians, and opinion makers from patient organizations.In our latest recruitment processes we have been experiencing significant number of qualified candidates, who found the link to our website through social media networks like Facebook and LinkedIn.CONCLUSIONS:Social media should be at the heart of digital transformation as it crosses boundaries: you will have a broader impact and it has a great potential in reaching your target groups in a cost-effective way.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

New Democracy in Digital Era through Social Media and News Online

Humaniora ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Abitassha Az Zahra ◽  
Eko Priyo Purnomo ◽  
Aulia Nur Kasiwi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Communication Networks ◽  
Social Communication ◽  
Development Policy ◽  
Online News ◽  
Digital Era ◽  
The Social ◽  
New Democracy

The research aimed to explain the pattern of social communication on the issue of rejection of the PLTU Batang development policy. It used data on Twitter accounts involved in the rejection of the PLTU Batang development policy. In analyzing existing data, qualitative methods and social analysis networks were used. To see social networks in the rejection of the PLTU Batang development policy, the research used the NodeXL application to find out the patterns of social communication networks in #TolakPLTUBatang. From the results, it can be seen that in the dissemination of social networking information, the @praditya_wibby account is the most central account in the social network and has a strong influence on the social network. The @praditya_wibby account has a role in moving the community through Twitter to make a critical social movement. This means that in the current digital era, democracy enters a new form through the movement of public opinion delivery through social media. Besides, by encouraging the role of online news, the distribution of information becomes faster to form new perceptions of an issue. This is evident from the correlation network where the @praditya_wibby account has correlations with several compass online media accounts, tirto.id, okezonenews, vice, antaranews, BBCIndonesia, and CNN Indonesia.

Exploring the imprint of social media networks on neighborhood community through the lens of gentrification

2017 ◽  
Vol 45 (3) ◽  
pp. 470-488 ◽  
Author(s):  
Joseph Gibbons ◽  
Atsushi Nara ◽  
Bruce Appleyard
Keyword(s):  
Social Media ◽  
Urban Communities ◽  
Urban Neighborhoods ◽  
Social Connections ◽  
Washington Dc ◽  
Group Level ◽  
Time Analysis ◽  
Social Media Networks ◽  
The Social ◽  
Interaction Measure

Gentrification, the rise of affluent socioeconomic populations in economically depressed urban neighborhoods, has been accused of disrupting community in these neighborhoods. Social media networks meanwhile have been recognized not only to create new communities in neighborhoods, but are also associated with gentrification. What relation then does gentrification and social media networks have to urban communities? To explore this question, this study uses social media networks found on Twitter to identify communities in Washington, DC. With space-time analysis of 821,095 geo-tagged tweets generated by 77,528 users captured from 15 October 2015 to 18 July 2016, we create a location-based interaction measure of tweets which overlays the social networks of the comprising users based on their followers and followees. We identify gentrifying neighborhoods with the 2000 Census and the 2010–2014 American Community Survey at the block group level. We then compare the density of location-based interactions between gentrifying and nongentrifying neighborhoods. We find that gentrification is significantly related to these location-based interactions. This suggests that gentrification indeed is associated with some communities in neighborhoods, though questions remain as to who has access. Making novel use of big data, these results demonstrate the important role built environment has on social connections forged “online.”

scholarly journals I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13971-13972
Author(s):  
Yang Qi ◽  
Farseev Aleksandr ◽  
Filchenkov Andrey
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Model Performance ◽  
User Profiling ◽  
Personalized Recommendation ◽  
Modal Data ◽  
Social Media Networks ◽  
The Impact

Nowadays, social networks play a crucial role in human everyday life and no longer purely associated with spare time spending. In fact, instant communication with friends and colleagues has become an essential component of our daily interaction giving a raise of multiple new social network types emergence. By participating in such networks, individuals generate a multitude of data points that describe their activities from different perspectives and, for example, can be further used for applications such as personalized recommendation or user profiling. However, the impact of the different social media networks on machine learning model performance has not been studied comprehensively yet. Particularly, the literature on modeling multi-modal data from multiple social networks is relatively sparse, which had inspired us to take a deeper dive into the topic in this preliminary study. Specifically, in this work, we will study the performance of different machine learning models when being learned on multi-modal data from different social networks. Our initial experimental results reveal that social network choice impacts the performance and the proper selection of data source is crucial.

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 PERAN JARINGAN SOSIAL PADA KAMPANYE LINGKUNGAN DI MEDIA SOSIAL: KASUS KAMPANYE MELAWAN ASAP

INFORMASI ◽  
2016 ◽  
Vol 46 (1) ◽  
pp. 87
Author(s):  
Ika Hariyani
Keyword(s):  
Social Media ◽  
Social Network ◽  
Qualitative Method ◽  
Social Relation ◽  
Executive Board ◽  
The Social ◽  
Environmental Campaigns ◽  
The University ◽  
Depth Interviews

Campaigns nowadays are oftenly carried through social medias, including campaigns concerning the environment. Based on previous studies, effectivity of campaigns through social medias were affected by many factors, such as the activity of the online administrator, additional socialization that were carried off- line, and also the involvement of the active followers in social medias. However, this paper views environmental campaign in social medias could be effective if viewed from another side,that is social network. This study sees how social network can improve the effectivity of environmental campaigns in social medias,therefore it’s safe to say that this study brings an addition to previous studies related tofactors that influenced the effectivity of environmental campaigns that utilized social medias as a channel of communication. The method used for this paper is qualitative method, with case study on Melawan Asap (Fight the Haze) campaign initiated by BEM UI (Executive Board of Students of University of Indonesia) in 2015 to form an alliance consisting several organizations from inside and outside of the university. Collection of data for this study was done with in-depth interviews with certain informants, based on a criteria established previously by the author, beside an observation upon social media accounts that were used for Fight the Haze campaign. The result shows that the involvement of networks in social media affects the effectivity of Fight the Haze campaign. Also, the social relation between organizations that are united under the alliance of Fight the Haze campaign are based on sentimental network.Kampanye kian marak dilakukan dengan menggunakan media sosial, tidak terkecuali kampanye lingkungan. Berdasarkan kajian-kajian sebelumnya, keefektifan kampanye dengan menggunakan media sosial dipengaruhi oleh berbagai faktor seperti adanya administrator online yang aktif, adanya sosialisasi tambahan yang dilakukan secara offline, dan juga terlibatnya pengikut/followers di media sosial secara aktif. Namun, tulisanini melihat kampanye lingkungan di media sosial dapat efektif dari sisi lain yaitu dari jaringan sosial. Kajian ini melihat bagaimana jaringan sosial berperan dalam membuat efektif kampanye lingkungan di media sosial, sehingga dapat dikatakan bahwa kajian ini menambahkan penemuan dari kajian-kajian sebelumnya yang berbicara mengenai faktor yang membuat efektif kampanye lingkungan dengan menggunakan media sosial sebagai media komunikasinya. Metode yang digunakan dalam tulisan ini adalah metode kualitatif dengan studi kasus pada kampanye melawan asap yang diinisiatori oleh BEM UI 2015 untuk membentuk sebuah aliansi dengan menggandeng beberapa organisasi di UI dan juga dari luar UI. Pengambilan data dalam studi ini dilakukan melalui wawancara mendalam dengan informan- informan tertentu berdasarkan kriteria yang penulis tetapkan dan melakukan observasi terhadap akun media sosial yang digunakan untuk menyebarluaskan kampanye melawan asap. Hasil kajian ini menunjukkan bahwa keterlibatan peran jaringan di media sosial mempengaruhi efektifitas kampanye melawan asap, serta hubungan sosial antar organisasi yang tergabung dalam aliansi gerakan melawan asap terbentuk berdasarkan jaringan perasaan/sentiment.

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