International Journal of Web Based Communities (6 papers in press)
Special Issue on: Business Models, Trust And Influence In Social Media and Web-Based Communities
Views versus subscriptions: which one matters to a YouTuber's monetisation success?
by Bo Han
Abstract: The critical factors to a video monetisation success have gained tremendous interests from YouTubers. However, there has not been a rigorous study testing the effects of video view factors and channel subscription factors on a YouTuber's revenues. We introduce a new empirical model to address this knowledge gap. Validating our model by a panel dataset of 116 most viewed YouTuber channels, we find that the new daily views, the daily view growth rate and the existing total views of a YouTuber's videos are significantly positively associated with her daily revenue. The subscription variables do not directly contribute to a YouTuber's daily revenue. Our study is the first of its kind that establishes a clear definition on the term 'YouTubers'. The monetisation model introduced by this study can provide several practical implications to YouTubers and users of other web communities, when they attempt to derive business values from video sharing.
Keywords: monetisation; YouTuber; video sharing; web community; social media business; YouTube.
Long live friendship? Relationships among friendship, trust and brand loyalty: a study of Starbucks
by Yu-Chun Chung, Shu-Hsien Liao, Wen-Jung Chang
Abstract: Undoubtedly, Facebook has become a rapidly emerging social media during recent decades. It has not only successfully expanded the traditional 'consumer-brand' relationship from the physical channels to the virtual ones, but also shaped complete interaction/communication model between corporate brand and consumers by aggressively build up its brand community. Though Starbucks has already been a well-known brand in Taiwan, few of social media studies has concerned with the influence of friendship and trust on fan's brand loyalty. In view of this, this study based on 340 valid fan samples from Starbuck's fan pages used structural equation modelling (SEM) to validate the research hypotheses. The empirical findings showed that friendship and trust both impact fans' brand loyalty to Starbucks while friendship also influenced trust. Besides, the moderated effect of consumer personality partially existed in our research model.
Keywords: friendship; trust; brand loyalty; Facebook fan pages; Starbucks.
Online social networking services and spam detection approaches in opinion mining - a review
by Meesala Shobha Rani, S. Sumathy
Abstract: Social network platforms have gained enormous growth in present days. Users are more attracted towards social network sites such as Twitter, Facebook, micro blogs and YouTube to express their opinion and views and share the knowledge. With the tremendous increase in technological growth and with the diversity of products, online e-commerce servicing sites are becoming competitor's for each other to increase their proliferation in business offering to post positive product spam reviews. Users generally express their opinion based on different sentiment orientations, ratings and the features of the product. This tends to create ambiguity at the customers end in arriving at a decision based on the criticism, building fake opinion on the products. Opinion spam detection provides scope in building opinion from the reviews of various networking sites. A novel framework using meta-heuristic and k-means clustering approach is proposed for identifying opinion spam detection using flower pollination, grey wolf and moth flame. Amazon automotive product dataset is chosen for analysis and it is observed that grey wolf algorithm performs better than flower pollination and moth flame optimisation algorithms in terms of improved convergence speed, mean, standard deviation, variance and elapsed run time.
Keywords: flower pollination; moth flame optimisation; MFO; grey wolf optimisation; GWO; online social networking; opinion spam detection; opinion mining; social media.
Significant effects of online news on vote choice: a review
by Mumtaz Aini Alivi, Akmar Hayati Ahmad Ghazali, Ezhar Tamam
Abstract: Current trend around the world witnesses the usage of online news widely to spread news to reach certain audiences. It was also chosen by the public in recent years as a source to obtain news compared to the traditional media due to degree of freedom offered by the medium. This review paper examines four main issues related to the key predictor for vote choice: information highlighted in online news, satisfaction with the government, candidate personality and political party performances. Studies revealed that online news has a significant effect towards vote choice. News highlighted on online channels has the capacity to change the people's perception about a country's political rule and development. It will ultimately be translated into vote choices, namely in deciding the best candidate or political party which the public believes can serve them in forming a better nation.
Keywords: online news; news effect; vote choice.
Maturity in decision-making: a method to measure e-participation systems in virtual communities
by Cristiano Maciel, Licinio Roque, Ana Cristina Bicharra Garcia
Abstract: The participation of citizens in the decision-making of a community is the essence of a democracy. As the number of citizens grew, direct participation became utopia and delegated to elected representatives. The spread of internet allied to the population pressure for transparency in government's decisions brought mass participation back to the table. The communication channels are there, though citizens' participations have not been effective frequently because their suggestions are not mature. This paper presents a method, maturity in decision-making (MDM), for measuring the maturity of a group for a decision considering the risk of group-thinking, shallow analysis or even polarisation. We have applied the method in two scenarios with promising results.
Keywords: web-based interaction; web measurements; social networks; e-government; decision-making; virtual community.
Patients' learning in cyberspace: a thematic analysis of patient-patient discussions in a chronic illness Facebook page
by Gemma Stevens, Victoria L. O'Donnell, Lynn Williams
Abstract: Online support groups play an increasingly important role in patients' lived experience of chronic illness. The objective of this study was to explore how learning takes place from patients' interactions in an online chronic illness support group. Qualitative data consisted of 1,478 messages posted to a publicly accessible non-illness specific Facebook support page. Data was analysed using inductive thematic analysis. Four themes were identified from the analysis. This paper presents two themes, information sharing and dis(trust). Employing Wenger's communities of practice theoretical framework (Wenger, 1998), themes are discussed in terms of learning, participation in practices and identity. Online support groups can be pivotal to learning in illness. Patients' online information sharing provides them with opportunities for informal learning about their condition to take place. These online interactions lead to patients developing trust for one another and distrust for the medical care system.
Keywords: patient interactions; illness community; chronic illness; online support groups; communities of practice; learning.