Growth Of Social Media Research Articles

Social awareness of crisis events: A new perspective from social-physical network

The emergence of social media provides a rich source of posts to facilitate situational awareness and management during crisis events. Since interactions within social media users are frequently used to establish social networks, previous studies have explored how social media contributes to the information diffusion about crisis events. However, most studies have concentrated on the dynamics of the online social network, whereas the information diffused within social space and physical world during different event evolution stages tends to be overlooked. To address this problem, this study introduces a methodology for modeling and analyzing the information diffusion of crisis events based on the retweet patterns of social media users at city level. The proposed methodology consists of two parts: 1) Fisher ordinal clustering method is applied to divide the evolution stages of crisis events based on social media user activities. 2) To explore the information diffusion of crisis events in the physical world, the social-physical network (SPnet) is constructed by extending the retweet network to the geographical space for each evolution stage. The Weibo data related to the Kunming terrorist attack in 2014 are analyzed to demonstrate the methodology. By identifying the geo-location of users (90.8% of the total active users), two types of SPnet are constructed based on the retweet patterns of ordinary users and media users, respectively. The results show that the information diffusion in the SPnet of ordinary users are mainly from Kunming, while in the SPnet of media users, major developed cities are the key nodes for information diffusion. This study provides useful insights for understanding how human activities react to crisis events through the social-physical network at city level.

PERANCANGAN STUDIO DIGITAL IMAGING “IMAGINE”

Since the emergence of social media, especially instagram image’s quality become an attention, it had a positive impact on the development of photography and other things that support such as photo studios, photographers, and camera. However, the camera certainly has limitations on the result, the sharpness of the colors and the dimensions of the resulting image from the camera can be maximized and some photographers may not be particularly good at editing especially digital imaging. Therefore this study aimed to design a digital imaging studio. The study was conducted with qualitative, quantitative and literature studies. Results of the study are expected in the form of digital imaging studio focused in terms of editing, compositing, and modification of visual elements in the final image.

Exploring Social Customer Relationship Management Adoption in Micro, Small and Medium-Sized Enterprises

With the emergence of social media, customer relationship management has undergone noticeable changes and gained a great deal of attention from researchers and practitioners in recent years. In this paper, we provide additional insights into how intensively business-to-customer micro, small and medium-sized enterprises adopt social customer relationship management. Based on the literature review and insights from interviews with six micro, small and medium-sized enterprise owners/managers, we developed a conceptual research model that integrates the antecedents, intensity of social customer relationship management adoption, and performance outcomes. For the intensity of social customer relationship management adoption, we applied process-based conceptualization consisting of the customer engagement process and customer data management process. Then we empirically tested a conceptual research model by using data collected in a survey of 119 micro, small and medium-sized enterprises in Slovenia. We found that not all antecedents are equally relevant to both processes of the intensity of social customer relationship management adoption. Additionally, we found that the intensity of social customer relationship management adoption has a positive effect on customer relationship performance. Based on these findings, we provide recommendations for further research and offer practical implications for micro, small and medium-sized enterprises considering social customer relationship management adoption.

Persistence of Social Media on Political Activism and Engagement among Indonesian & Pakistani youths

In recent years, the emergence of social media has encouraged and influenced our youth to participate in political matters. The current study was conducted in Indonesia and Pakistan. The objective of the study was to analyse the persistence of social media and youth political participation in democratic activities. The study opted quantitative research design through an offline and online survey to obtain data from 400 individuals (falling in age group 18th to 29th), having political experience and knowledge of participation. The data gathered through structured questionnaires using scales to compile the results, and data was carried out through Excel and SPSS software. The results show that social media is a persuasive medium in providing platform to youth to participate in political activism. Youth healthy engagement in such activities plays a significant role in the political structure of states. It was also observed that youth participation is essential for prosperity and growth of nation. The study suggests that the Government of Indonesia and Pakistan have a good opportunity to socialise youths through online spheres.

The Role of Social Media for Tourist Visit Decision on Kakilangit Market Bantul, Yogyakarta

The emergence of social media as one of the new media has brought important changes to the world of tourism. Social media has given space to interact with each other. Various types of social media are very popular for young people, including Facebook, Path, Twitter, and Instagram, and others. Social media offers a different experience for tourists in getting information about products and services in tourism. This study aims to examine the impact of social media on tourist behavior. The respondents of this study were tourists who visited the Kakilangit Market, Bantul, Yogyakarta. This study uses quantitative analysis techniques. The results of this study found that social media influences the behavior of tourists in choosing and deciding about the attractions they will visit. The study also found that tourists use social media to communicate, looking for tourist references, as long as they travel. Furthermore, tourists will also share their experiences while traveling on social media. Social media raises the trend of new tourist objects popularized by posting photos and videos by social media users. Photos and videos uploaded on Instagram for example, represent what is owned by a tourist object or even show facts about the condition of a tourist attraction. This certainly will affect the behavior of consumers as tourists so that Instagram provides the possibility of new opportunities and challenges for tourism actors. Tourism actors are required to understand consumer behavior, especially young people as users of social media in order to design the right marketing strategy for their products.

Rekreatif Bir Etkinlik Olarak Turizm Cazibe Merkezi Ziyaretçilerinin Özçekim Motivasyonları

Teknolojinin gelişmesi ve sosyal medyanın ortaya çıkışıyla sosyal bir evrim sürecine girildiğini söylememiz yanlış olmaz. Bu sosyal evrim ihtiyaçlarımızı ve sosyal yaşantımızı olduğu gibi fotoğraflarımızı da etkiler haldedir. Günlük yaşamda yaptığımız özçekimler ve sosyal medyada paylaşma isteği yaşantımıza yön vermeye başlamıştır. Buradan hareketle bu çalışmanın amacı; Rekreatif bir etkinlik olarak turizm cazibe merkezi ziyaretçilerinin özçekim motivasyonlarının açıklanmasıdır. Literatürle desteklenen bu çalışmada araştırmanın amacına uygun olarak nitel araştırmanın olgu bilim (fenomenoloji) deseni kullanılmıştır. Veri toplama aracı olarak Artvin’ in Arhavi ilçesinde bulunan Mençuna Şelalesini ziyaret edenlerle yarı yapılandırılmış görüşme yapılmıştır. Veriler araştırma ekibi tarafından yarı yapılandırılmış sorulardan oluşan görüşme formu aracılığı ile toplanmış ve içerik analizi ile yorumlanmıştır. Araştırma sonucunda bireylerin özçekim yaparken sosyal tatmin dürtüsü ile özçekim yaptıkları, özçekimin bir akım ve alışkanlık haline dönüştüğü, yalnızca sosyal medyada paylaşmak için değil ayrıca anı biriktirmek, sosyal albüm yapmak içinde özçekim yaptıkları, başkasından yardım istemeden herkesle aynı kare fotoğrafta görünmeyi sağladığı için özçekimin tercih edildiği, uygun şartlar olması durumunda kullanılan bir özellik olduğu, katılımcıların yalnızca özçekim yapmak için gezi yapmadıkları, anı yaşamanın gezinin temel amacı olduğunu, gezi öncesi özçekim yapmayı düşündükleri, özçekim yaparken özellikle doğal cazibe merkezlerinin çekicilik özelliğine göre arka fonda doğal bir görüntü olmasını istedikleri tespit edilmiştir.

Esperança x sofrimento nas mídias sociais: o que motiva seguidores do Instagram a seguir a temática câncer?

O câncer ainda é associado a dor, morte e sofrimento, e muitos cidadãos, com medo de um diagnóstico, adotam comportamento de esquiva de médicos e exames. Com o surgimento das mídias sociais, o tema tem sido tratado em plataformas como Facebook, Twitter, Instagram, Youtube, entre outras. O objetivo deste estudo é averiguar se há um padrão de conteúdo sobre câncer que gere engajamento no aplicativo de imagens Instagram. Foram selecionados dois perfis brasileiros de instituições de câncer no Instagram, e um estudo qualitativo de análise de conteúdo de posts e comentários foi aplicado, sendo associado posteriormente a análises estatísticas. Foi selecionado todo o conteúdo de dois hospitais oncológicos brasileiros durante quatro anos, totalizando 1.935 postagens no Instagram. Além dos posts, buscamos entender o comportamento dos usuários dessas mídias quando o tema é câncer, por meio dos 2.239 comentários e dos 4.603 Emojis. Podemos afirmar que há interesse pelo tema, o qual é abordado sem preconceitos por internautas e que muitos buscam formas diferenciadas de gratificação no uso do aplicativo.

Māui Street

For better or worse, the emergence of social media has created platforms for a range of diverse voices often left out of mainstream media. In particular, Indigenous voices have found amplification through new media channels that allow Indigenous people to tell their own stories rather than being “othered” as a subject in someone else’s. Morgan Godfery’s Māui Street blog was a New Zealand example of this potential to subvert traditional political commentary. Beginning as a university student addressing a variety of Indigenous and other political issues, Godfery has carved a path over three electoral cycles (and counting) as an astute observer and analyst of political and social issues in New Zealand, the Pacific region and beyond. Outside of his blog he has written articles for online and hard copy newspapers and magazines; peer-reviewed academic journals; and book chapters. He has also provided comment on radio and television. Māui Street is now the curation of published pieces from across sources such as The Guardian, E-tangata, Overland Literary Journal and The Spinoff in addition to the original blogsite.

The Palestinian Flag Is Back

This article reexamines my argument published in 2007 regarding the apolitical character of Arab soccer fans in Israel. Until recently, explicit political protest and expressions of Palestinian national identity have remained outside the stadium. For most Arab fans, soccer was an opportunity to display common ground with Jewish citizens. Displaying Palestinian nationalism was considered to be endangering the potential for rapprochement. However, over the past decade the barriers that blocked political protest from entering the stadium have been ruptured. Several interrelated factors are suggested as explanations for this shift: multiple cycles of escalated violence in the region, a wave of anti-Arab legislation, the globalization of fan culture, the model of a politicized soccer fan provided during the Arab Spring, and the emergence of social media.

Information Disorders

This paper analyses the major modifications created by the “social turn” i.e. the emergence of social media. It presents the drastic change of ecosystem created by the three “continents” of the Internet. This sets up the context of deployment for “information disorders” such as radicalisation and disinformation. The analysis then considers the risks and opportunities for Media and Information Literacy: on the one hand, the rise of fact-checking and the increasing interference of social media platforms; on the other hand, the augmentation of the Media and Information Literacy epistemology and the Media and Information Literacy paradigm shift entailed by information disorders. It concludes on an agenda for Media and Information Literacy in 21st century.

COHESIVE MARKERS IN SOCIAL MEDIA DISCOURSE: CASE IN INDONESIAN FACEBOOK CONVERSATIONS

AbstractThe emergence of social media as a new channel of communication has produced a new form discourse which has different characteristics compared to the formerly established conventional discourses. These differences do not only lie in how the messages are delivered but also in their structural components which contribute to the unity of the text, namely cohesion and coherence. Cohesion, as the marker of coherence, is realized by language units (words, phrases, or clauses) known as cohesive markers which indicate the relationship between parts of discourse either grammatically or lexically. This article aims at describing the composition and distribution of cohesive markers within the Facebook conversations along with their roles in determining the characteristics of the discourse. The results show that the cohesive system of Facebook conversations are dominated by references, ellipses, repetitions, and conjunctions. The frequent appearances of certain referential cohesivemarkers indicate Facebook conversations as typical of interactive discourse whereas numerous ellipses and particular conjunctionsreflectthe informal mode of communication carried out through the social media.On the other hand, various repetitions show the existence of topical cohesionwithin the conversations.

Network Model for Online News Media Landscape in Twitter

Today, most studies of audience networks analyze the landscape of the news media on the web. However, media ecology has been drastically reconfigured by the emergence of social media. In this study, we use Twitter follower data to build an online news media network that represents the pattern of news consumption in Twitter. This study adopted a weighted network model proposed by Mukerjee et al. and implemented the Filter Disparity Method suggested by Majó-Vázquez et al. to identify the most significant overlaps in the network. The implementation result on news media outlets data in three countries, namely Indonesia, Malaysia, and Singapore, shows that network analysis of follower overlap data can offer relevant insights about media diet and the way readers navigate various news sources available on social media.

Mining patient opinion to evaluate the service quality in healthcare: a deep-learning approach

The emergence of social media has created several opportunities for patients to evaluate the quality of healthcare services by posting online reviews. The rich text and photographic information in the online reviews results insights into how patients’ experience with the doctor and their satisfaction with healthcare service delivery. Various studies have performed patients’ opinion analysis using textual contents. This study presents a novel multimodal approach to analyze the patients’ sentiment regarding the quality of healthcare service delivery (high vs. low). In comparison with existing studies, we consider not only the unique textual contents but photographic contents as well from the Yelp.com platform, which is more challenging due to feature extraction. We evaluate the performance of the baseline, and deep learning algorithms across textual cues, visual cues, and the fusion of both text and visual cues. Experimental results indicated that the addition of novel features increases the models’ accuracy to 15.0% across text and visual cues. Furthermore, fusing text and visual contents improve the classification accuracy by at least 12.64% instead of considering the contents alone. Preliminary comparative experiments result show that the deep learning model outperformed all other algorithms. In comparison with several other state-of-the-art methods in the biomedical domain, the proposed model could significantly enhance the performance of the classifier indicating the effectiveness and suitability of the methodology.

Digital interface in Indonesia’s public service broadcasting: Its initiatives and regulatory challenges

Abstract The merging of broadcast platforms, the Internet and social media has challenged the former state-owned broadcasters of Indonesia to find new content strategies and forms suited to the networked media environment. Over the past decade, the arrival of digital technology and rapid growth of social media has broken down the previous linear model of service delivery in Indonesian broadcasting. However, national policy on this issue remains lacking. At present, the Indonesian Broadcast Law (Law No. 32 of 2002) only gives the country’s public radio an ability to use the spectrum in the analogue model. Digital migration, as well as legal protection of social media services, remains an ongoing debate among policy-makers, that will allow free market competition, in particular to opportune the interface of service providers and content producers. Drawing from semi-structured interviews, observations and regulatory reviews, this article broadly investigates the introduction of digital interfaces in the new public service broadcasters of Indonesia, with particular focus on the process through which Indonesian PSBs have embraced the digital media environment to enable the flow of information and public participation between the media entities and their publics. In this article, I present both technology and regulatory perspectives by emphasizing the dynamics of the digital media modes of public service delivery, particularly those through which analogue broadcasts and social media have sought new ways to intertwine. In detail, I will examine certain interactive services applied by Radio Republik Indonesia (RRI), the flagship of Indonesian national public radio, namely RRI-Play, RRI.co.id and RRI-Net, to manage audience participation. Since 2016, these digital platforms have mediated public access to RRI content, generated data on media users, and monitored technological performance. In inspecting these platforms, I refer firstly to the normative debate of public service broadcasters as ‘deliberative public sphere’ before segueing into the three public-service functions that are important in social network media landscape: curation, moderation and monitoring. Furthermore, this article analyses problems behind the regulatory design of Indonesian public-service media within the context of digital broadcasts in the country.

A Matrix Factorization Algorithm for Efficient Recommendations in Social Rating Networks Using Constrained Optimization

In recent years the emergence of social media has become more prominent than ever. Social networking has become the de facto tool used by people all around the world for information discovery. Consequently, the importance of recommendations in a social network setting has urgently emerged, but unfortunately, many methods that have been proposed in order to provide recommendations in social networks cannot produce scalable solutions, and in many cases are complex and difficult to replicate unless the source code of their implementation has been made publicly available. However, as the user base of social networks continues to grow, the demand for developing more efficient social network-based recommendation approaches will continue to grow as well. In this paper, following proven optimization techniques from the domain of machine learning with constrained optimization, and modifying them accordingly in order to take into account the social network information, we propose a matrix factorization algorithm that improves on previously proposed related approaches in terms of convergence speed, recommendation accuracy and performance on cold start users. The proposed algorithm can be implemented easily, and thus used more frequently in social recommendation setups. Our claims are validated by experiments on two real life data sets, the public domain Epinions.com dataset and a much larger dataset crawled from Flixster.com.

Evaluation of Social Media and Students Participation in Politics: A Study of Students in the University of Nigeria, Nsukka

The emergence of social media has made it quite easy for students to participate in political matters. However, it has been observed that most youths use social media to participate in politics in ways that promote political violence and tension in the country. It is on this basis that this work set out to examine, amongst others, the extent of usage of social media by the undergraduate students of UNN in politics. The Uses and Gratification theory was the theoretical framework of this study. The survey research design was adopted for the study and a total of 375 respondents served as the sample size of the study. Among other findings, the research discovered that the respondents are highly exposed to social media and that they use social media to a high extent to participate in politics. Hence, some of the following recommendations were proffered. Tertiary institutions must make it their responsibility to train and produce students that are conscious of their activities and actions in ways that promote peace and unity in the nation. This could be achieved by conducting periodic seminars before, during, and after elections to educate and enlighten the students on the dangers associated with the dysfunctional use of the social media in participating in politics. Students and the general public should self-regulate their use of social media in participating in politics. This can be achieved by asking themselves if the ways they use social media are ethical and for the general good of all.

Propagating sentiment signals for estimating reputation polarity

The emergence of social media and the huge amount of opinions that are posted everyday have influenced online reputation management. Reputation experts need to filter and control what is posted online and, more importantly, determine if an online post is going to have positive or negative implications towards the entity of interest. This task is challenging, considering that there are posts that have implications on an entity's reputation but do not express any sentiment. In this paper, we propose two approaches for propagating sentiment signals to estimate reputation polarity of tweets. The first approach is based on sentiment lexicons augmentation, whereas the second is based on direct propagation of sentiment signals to tweets that discuss the same topic. In addition, we present a polar fact filter that is able to differentiate between reputation-bearing and reputation-neutral tweets. Our experiments indicate that weakly supervised annotation of reputation polarity is feasible and that sentiment signals can be propagated to effectively estimate the reputation polarity of tweets. Finally, we show that learning PMI values from the training data is the most effective approach for reputation polarity analysis.

Trip distribution modeling with Twitter data

Integrating both traditional and social media data, this study compares the performance of gravity, neural network, and random forest models of commuting trip distribution in New York City. Trip distribution modeling has primarily employed traditional data sources and classical methods such as the gravity. However, with the emergence of social media during the past decade, the potential for integrating traditional and social media data while utilizing new techniques has been identified. Our findings indicate that the random forest model outperforms the traditional gravity and neural network models. Population, distance, number of Twitter users, and employment were identified as the four most influential predictors of trip distibution by the random forest model. While Twitter flows did not enhance the models' performance, the importance of the number of Twitter users at work destinations implies the potential for using social media data in travel demand modeling to improve the predictive power and accuracy.

An emerging form of public engagement with science: Ask Me Anything (AMA) sessions on Reddit r/science.

Originally, online public engagement with science tended to be one directional—from experts to the general population via news media. Such an arrangement allowed for little to no direct interaction between the public and scientists. However, the emergence of social media has opened the door to meaningful engagement between scientists and the general public. The current study examines scientists’ perspectives on the interactions between laypeople and scientists by asking questions and sharing information on social media platforms, specifically, through Ask Me Anything (AMA) sessions on Reddit’s “Science” subreddit (r/science). By analyzing the content of six different r/science AMAs and surveying scientists who participated as r/science AMA hosts, our research attempts to gain a richer understanding of direct communication between scientists and lay audiences online. We had three main questions: (1) who are the participant scientists hosting r/science AMAs, (2) what are their experiences like as hosts, and (3) what type of discussions do they have on this platform? Survey results suggested that these scientists recognize the promising interactive nature of Reddit and are interested in continuing to use this platform as a tool for public engagement. Survey respondents generally had positive experiences as AMA hosts, but further research is needed to examine negative experiences. Overall, this study has significant implications for how scientists can engage public audiences online and more effectively communicate scientific findings to the general populace.

Customer Behaviour Analysis on Purchasing Decision for Online Shop Lazada Effected by Cunsomers Testimonies and Television Advertising

Today the online marketing trend is experiencing a significant increase. This is marked by the emergence of social media and online shop that offers a wide range of products to prospective customers. The challenge for online marketers is how they can convince potential customers of the legality of the company and the truth of the products they sell, in response to opinions that come to the minds of people that online shopping is vulnerable to fraud. On the other hand online marketing has advantages compared to traditional marketing, both for business actors, and for consumers. In this study the author tries to present the discussion of factors that affect consumer purchasing decisions, namely consumer testimonials and television advertising. How the influence of each variable and the influence of variables simultaneously. Research conducted on one of the largest online shop in Indonesia is lazada.co.id, which is a group of online German internet rocket company. The results showed that partially consumer testimonials and television ads significantly influence the purchase decision of the product lazada.co.id. This can be seen from the value of t arithmetic greater than nlai t table (4.281> 2.009 & 5.410> 2.009) and from the sig value smaller than 0.05. Simultaneously consumer testimonials and television advertising variables significantly influence purchasing decisions. Consumer testimonials and television advertisements account for 70.6% of purchasing decisions.