scholarly journals Veganism 2.0: Gastromania, nutrition, and digital communication

2021 ◽  
Vol 4 ◽  
pp. 12-30
Author(s):  
Simona Stano
Keyword(s):  
Social Media ◽  
Social Network ◽  
Digital Communication ◽  
Complex Dynamics ◽  
The Past ◽  
Cultural Transformations ◽  
The Social ◽  
Semiotic Approach ◽  
Forms Of Life ◽  
Food Trends

The vegan population has risen significantly over the past decade, and is expected to continue increasing. Social media are believed to have played a major role in such a rise. According to a Google study (2018), veganism started to spread markedly in 2012, the same year that Instagram became popular, and has then grown in correlation with the expansion of the social network (with over 88 million #vegan posts out of a billion monthly active users and more than 500 million people using the platform daily today). Since 2016 conversations around veganism have increased also on Twitter, reaching nearly 20 million Tweets in 2018 and registering a further growth of 70% in 2019. Moreover, the number of Google searches for veganism has spiked from a popularity rating of just 17 out of 100 in 2008 to 88 in 2018. Functioning both as platforms for sharing and commenting on information and as effective channels for proselytizing, these and other social media have evidently extended the boundaries of the vegan movement, making it become one of the biggest contemporary food trends. This paper aims at identifying and describing the main cultural transformations and forms of life promoted by “veganism 2.0”, based on a semiotic approach particularly attentive to the analysis of the narrative level and the patemic dimension. To this purpose, the intersections between the so-called “gastromania” and other trends characterising contemporary foodspheres, such as “gastro-anomy” and the “ideology of nutritionism” are taken into account, paying particular attention to the gastronomic discourse in present-day digital mediascapes and the complex dynamics characterising them.

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.

scholarly journals Social Media Contexts Moderate Perceptions of Animals

2020 ◽  
Author(s):  
Elizabeth Riddle ◽  
Jill R D MacKay
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Free Text ◽  
Human Society ◽  
Rapid Rise ◽  
The Past ◽  
Social Media Site ◽  
The Social ◽  
Human Perceptions ◽  
New Space

The rapid rise of social media in the past decade represents a new space where animals are represented in human society, and this may influence human perceptions. In this study, 211 participants (49% female) between the ages of 18 to 44 were recruited to an online survey where they viewed mock-up pages from a social media site. All participants saw the same image of an animal, but were randomly assigned to a positive or negative narrative condition. When participants were presented with the critical narrative they perceived the animal to be more stressed (χ2=13.99, p<0.001). Participants expressed reservations in face of a narrative they disagreed with in free text comments. Overall, this study found evidence to suggest that people moderate their discussions on human-animal interactions based on the social network they are in, but these relationships are complex and require further research.

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.

scholarly journals Application of social network analysis for determining the suitable social media influencers

2021 ◽  
Vol 10 (6) ◽  
pp. 348-354
Author(s):  
Mochamad Yudha Febrianta ◽  
Yusditira Yusditira ◽  
Sri Widianesty
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Marketing Strategy ◽  
Marketing Strategies ◽  
The Other ◽  
Social Media Marketing ◽  
Other Hand ◽  
The Social

Virtual Hotel Operator (VHO) trend is growing rapidly, especially in Indonesia. Two of the most popular VHO in Indonesia are OYO and RedDoorz, both have been competing to attain the first position. Both OYO and RedDoorz have their own social media marketing strategies. For example, OYO persuades other conventional hotels to collaborate and use the OYO platform in their businesses. On the other hand, RedDoorz was recorded as the most visited Virtual Hotel Operator Platform in 2019, based on the data of Konsumen Jakpat 2019. OYO and RedDoorz also utilize social media to promote their services such as Instagram and Twitter. For advertising their businesses in social media, OYO and RedDoorz often use some social media influencers or known as influencer social media marketing. Influencers should be able to effectively deliver the messages and influence people’s decisions to use the products or services they advertise. This study aims to further explore the social media marketing strategy employed by OYO and RedDoorz. The results of Social Network Analysis by using “oyoindonesia” and ‘reddoorz’ as keywords in social media Twitter showed that RedDoorz has a bigger social network and more users involved in spreading their information than OYO. On the other hand, OYO's official account on Twitter is more efficient in performing its function as marketing media.

scholarly journals Digital sources: a case study of the analysis of the Recovery of Historical Memory in Spain on the social network Twitter

2019 ◽  
Vol 7 (2) ◽  
pp. 015 ◽  
Author(s):  
Mariluz Congosto
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Network ◽  
Historical Memory ◽  
Historical Research ◽  
Huge Amount ◽  
Online Social Media ◽  
The Social ◽  
Special Relevance

The incorporation of digital sources from online social media into historical research brings great opportunities, although it is not without technological challenges. The huge amount of information that can be obtained from these platforms obliges us to resort to the use of quantitative methodologies in which algorithms have special relevance, especially regarding network analysis and data mining. The Recovery of Historical Memory in Spain on the social network Twitter will be analysed in this article. An open-code tool called T-Hoarder was used; it is based on objectivity, transparency and knowledge-sharing. It has been in use since 2012.

scholarly journals tugas review artikel

2019 ◽  
Author(s):  
Arlika Anindya Putri
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Firm Performance ◽  
Positive Impact ◽  
Social Capital Theory ◽  
Capital Theory ◽  
Mediating Role ◽  
The Social

Purpose – The purpose of this study is to develop a structural equation model to explain the complexrelationship between social network and firm performance by introducing the mediating role of trust, sellingcapability and pricing capability.Design/methodology/approach – The research model with hypothesis development was derived basedon the literature. To provide empirical evidence, this study carried out a survey in which the data wereequated with a list of questionnaires with a random survey of 380 small and medium enterprises (SMEs) inthe Indonesian context.Findings – This study indicates that the use of social media in management process will not affect theincreasing firm performance, unless the firms build trust upon social networks. The social network with trustallows the firms to gain a pricing capability and a selling capability, which brings a positive impact on firmperformance. The results also show that the selling and the pricing capabilities become essential following theutilizing the social media, which concerns on trust building.Research limitations/implications – This study focused on the small-to-medium context, which hasconventionally provided an exemplary site for the development of social capital theory but raises issues ofgeneralizability across different contexts.Practical implications – To the managers, it is advisable to encourage their employees to consciouslyexploit the selling capability by enhancing the business networks via social media to achieve the firmperformance.Originality/value – This paper contributes to the social capital theory by explaining the mediating role oftrust in the complex relationship between social network and firm performance. This study provides evidencethat trust plays a pivotal role in social networks, which enable the observed firms to achieve the performance.

Socio-Technical Attack Approximation Based on Structural Virality of Information in Social Networks

2021 ◽  
Vol 15 (1) ◽  
pp. 153-172
Author(s):  
Preetish Ranjan ◽  
Abhishek Vaish
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Latent Structure ◽  
The Social ◽  
High Skill ◽  
The Way

A free and easily accessible platform for sharing information over social media has its negatives. It is being misused to intimidate others by exploiting the trust factor inherent within it. This paper is on the persistent pursuit of offering an exquisite solution to address this possible misuse of social media also called STAs and their subsequent impacts on society. These attacks are very sensitive to society and often organized groups with a high skill set are involved to disguise the security agencies. In this work, a model has been proposed to approximate socio-technical attack subject to the structural virality of information in the social network. The work is unique in the sense that previous works are mostly based on statistical values of the network but the proposed work considers the latent structure of the network which is not being reflected from their statistical values. This also paves the way for future researchers to implant other hidden features of nodes and messages circulating within the network which could be helpful for the detection and mitigation of STAs.

Analyzing Social Networks to Mine Important Friends

2013 ◽  
pp. 90-104 ◽  
Author(s):  
Carson K.-S. Leung ◽  
Irish J. M. Medina ◽  
Syed K. Tanbeer
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking Sites ◽  
Web Based ◽  
The Social ◽  
Social Entity ◽  
Social Entities ◽  
Media Data ◽  
Media Mining

The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about the social networks. Social media mining and social network analysis help to find a systematic method or process for examining social networks and for identifying, extracting, representing, and exploiting meaningful knowledge—such as interdependency relationships among social entities in the networks—from the social media. This chapter presents a system for analyzing the social networks to mine important groups of friends in the networks. Such a system uses a tree-based mining approach to discover important friend groups of each social entity and to discover friend groups that are important to social entities in the entire social network.

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