THE MECHANISM OF LINKAGES BETWEEN ONLINE COMMUNITY PARTICIPATION AND FESTIVAL ATTENDANCE – A CASE STUDY OF A CHINESE MUSIC FESTIVAL

Author(s):  
Weng Si (Clara) Lei ◽  
Chun Chen (Claudia) Li

Online social network participation, and its impacts on festival attendees’ motivation, have been investigated in previous studies. However, the results have been inconclusive. Social network participation motives have also been researched but have mostly been limited to Facebook and other social media from the West. Social media participation motives in the East, for example in China, and its causes and effects on music festival attendance have remained underexplored. This study adopted a qualitative approach, using semi-structured interviews and netnography to empirically examine the connection between online social network participation and music festival attendance. Data collection included using netnography to explore a music festival social network chat group (online community) and then conducting in-depth interviews with festival attendees who were active members of the online community. The study sheds new light on festival attendees’ motives for online social network participation, a plausible mechanism and model to explain how an online music festival community sustains and connects its old and new members.

2019 ◽  
pp. 135910531988826
Author(s):  
Sharon H Baik ◽  
Elizabeth Klonoff ◽  
Laura E Barnes ◽  
Melody K Schiaffino ◽  
Kristen J Wells

While social media has the ability to quickly disseminate information and reach large audiences, cancer blogs as a communication platform have not yet been well studied. A social network analysis was conducted on 89 active cancer blogs. Results demonstrated the overall cancer-blog-network was widely distributed and decentralized, with blogs clustered by cancer type, and that breast cancer blogs were the most significant and highly linked blogs. Efforts to disseminate cancer-related information may focus on identifying key breast cancer bloggers or linking key bloggers of various cancers to create a more interconnected network and expand its reach within this online community.


2016 ◽  
Vol 3 (1) ◽  
pp. 1-3 ◽  
Author(s):  
Petter Bae Brandtzaeg ◽  
Asbjørn Følstad

This special issue on "Social media use and innovations" of the Journal of Media Innovation provides an engaging view into innovative uses of social media as well as approaches for utilizing social media in innovation.  With three papers included, we cover experiences with an online social network for children (Stephanie Valentine and Tracy Hammond), design by youth for youth in projects on social media for civic engagement (Henry Mainsah, Petter Bae Brandtzaeg, and Asbjørn Følstad), and social platforms for corporate and community innovation (Marika Lüders).


2019 ◽  
Vol 32 (5) ◽  
pp. 1276-1300
Author(s):  
Ehinome Ikhalia ◽  
Alan Serrano ◽  
David Bell ◽  
Panos Louvieris

Purpose Online social network (OSN) users have a high propensity to malware threats due to the trust and persuasive factors that underpin OSN models. The escalation of social engineering malware encourages a growing demand for end-user security awareness measures. The purpose of this paper is to take the theoretical cybersecurity awareness model TTAT-MIP and test its feasibility via a Facebook app, namely social network criminal (SNC). Design/methodology/approach The research employs a mixed-methods approach to evaluate the SNC app. A system usability scale measures the usability of SNC. Paired samples t-tests were administered to 40 participants to measure security awareness – before and after the intervention. Finally, 20 semi-structured interviews were deployed to obtain qualitative data about the usefulness of the App itself. Findings Results validate the effectiveness of OSN apps utilising a TTAT-MIP model – specifically the mass interpersonal persuasion (MIP) attributes. Using TTAT-MIP as a guidance, practitioners can develop security awareness systems that better leverage the intra-relationship model of OSNs. Research limitations/implications The primary limitation of this study is the experimental settings. Although the results testing the TTAT-MIP Facebook app are promising, these were set under experimental conditions. Practical implications SNC enable persuasive security behaviour amongst employees and avoid potential malware threats. SNC support consistent security awareness practices by the regular identification of new threats which may inspire the creation of new security awareness videos. Social implications The structure of OSNs is making it easier for malicious users to carry out their activities without the possibility of detection. By building a security awareness programme using the TTAT-MIP model, organisations can proactively manage security awareness. Originality/value Many security systems are cumbersome, inconsistent and non-specific. The outcome of this research provides organisations and security practitioners with a framework for designing and developing proactive and tailored security awareness systems.


Econometrica ◽  
2020 ◽  
Vol 88 (4) ◽  
pp. 1479-1514 ◽  
Author(s):  
Ruben Enikolopov ◽  
Alexey Makarin ◽  
Maria Petrova

Do new communication technologies, such as social media, alleviate the collective action problem? This paper provides evidence that penetration of VK, the dominant Russian online social network, led to more protest activity during a wave of protests in Russia in 2011. As a source of exogenous variation in network penetration, we use the information on the city of origin of the students who studied with the founder of VK, controlling for the city of origin of the students who studied at the same university several years earlier or later. We find that a 10% increase in VK penetration increased the probability of a protest by 4.6% and the number of protesters by 19%. Additional results suggest that social media induced protest activity by reducing the costs of coordination rather than by spreading information critical of the government. We observe that VK penetration increased pro‐governmental support, with no evidence of increased polarization. We also find that cities with higher fractionalization of network users between VK and Facebook experienced fewer protests, and the effect of VK on protests exhibits threshold behavior.


2021 ◽  
Author(s):  
◽  
Julie Paterson

<p>The purpose of this paper is to report the results of a research project designed to investigate how social media is being used by archives to develop connections with family historians. This research used qualitative methodology and utilised Skype and Instant Messaging to conduct semi-structured interviews with participants from six archives. The research uses Rogers’ Diffusion of Innovation theory as a framework. The research found the interviewees were using social media in various combinations to serve different purposes. In the majority of cases these tools were being used to achieve maximum access to the wider online community. The study highlights issues and concerns discussed by participants when using social media. There were limited examples of social media use to make connections with family historians during the study. Nonetheless this paper provides three detailed instances of its use to illustrate how archives can make these connections.</p>


Author(s):  
Iman K. Abbood ◽  
Saad Talib Hasson

<p>Social network users spending a lot of time to post, search, interact and read the news on blogging platforms. In this era, social media is becoming a suitable place for discovering and exchanging new updates. However, Common social media helps the user to share his news online by a one-click. The ease-of-use leads to present novel breaking news to show up first on micro blogs. Twitter is one of the well-known micro blogging platforms with more than 250 million users, in which retweeting is a manageable way to share and sawing news. It is significant to foretell the retweeting and influence in a social relationship. The Correlation Coefficient formula has been used to determine the level of correlation between a user and his retweeters (followers, friends, and strangers) in social networks. Such correlation can be reached by utilizing the collected user information on Twitter with some features which have a main effect on retweet behavior. In this study, the focus is on particular friends, followers, and a retweet to be the promising source of relationships between users of social media. Experimental results based on twitter dataset showed that the Correlation Coefficient formula can be used as a predicting model, and it is a general framework to gain better fulfillment in calculating the correlation between the user, friends, and followers in social networks..  Their influence on the accuracy in predicting a retweet is also accomplished.</p>


2017 ◽  
Author(s):  
Andrés Monroy-Hernández ◽  
Jazmin Gonzalez-Rivero ◽  
danah boyd ◽  
Benjamin Mako Hill

In this paper, we explore the role that attribution plays in shaping user reactions to content reuse, or remixing, in a large user-generated content community. We present two studies using data from the Scratch online community – a social media platform where hundreds of thousands of young people share and remix animations and video games. First, we present a quantitative analysis that examines the ef- fects of a technological design intervention introducing au- tomated attribution of remixes on users’ reactions to being remixed. We compare this analysis to a parallel examination of “manual” credit-giving. Second, we present a qualita- tive analysis of twelve in-depth, semi-structured, interviews with Scratch participants on the subject of remixing and at- tribution. Results from both studies suggest that automatic attribution done by technological systems (i.e., the listing of names of contributors) plays a role that is distinct from, and less valuable than, credit which may superficially involve identical information but takes on new meaning when it is given by a human remixer. We discuss the implications of these findings for the designers of online communities and social media platforms.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ivan Garibay ◽  
Alexander V. Mantzaris ◽  
Amirarsalan Rajabi ◽  
Cameron E. Taylor

AbstractThis work explores simulations of polarized discussions from a general and theoretical premise. Specifically the question of whether a plausible avenue exists for a subgroup in an online social network to find a disagreement beneficial and what that benefit could be. A methodological framework is proposed which represents key factors that drives social media engagement including the iterative accumulation of influence and the dynamics for the asymmetric treatment of messages during a disagreement. It is shown that prior to a polarization event a trend towards a more uniform distribution of relative influence is achieved which is then reversed by the polarization event. The reasons for this reversal are discussed and how it has a plausible analogue in real world systems. A pair of inoculation strategies are proposed which aim at returning the trend towards uniform influence across users while refraining from violating user privacy (by remaining topic agnostic) and from user removal operations.


2020 ◽  
Vol 6 (2) ◽  
pp. 72-82 ◽  
Author(s):  
Rebecca C Grossman ◽  
Douglas Graham Mackenzie ◽  
Deborah S Keller ◽  
Nicola Dames ◽  
Perbinder Grewal ◽  
...  

Objectives and settingThe aim of this study was to create a hashtag #SoMe4Surgery on the social network application Twitter, and to examine the natural history of the resulting online community.Design and outcome measuresA prospective, four-stage framework was proposed and used: (1) inception phase (connection): users were actively invited to participate; (2) dissemination phase (contagion): several tweetchats were designed, scheduled and run; (3) adherence phase (feedback): Twitonomy and NodeXL summaries were regularly posted on Twitter; and (4) impact phase (outcomes): abstracts and manuscripts, and related projects on Twitter. Tweets, influencers and interactions were analysed, and a brief survey was shared with participants to assess demographics and motivations of social media use.ParticipantsUsers engaging with the #SoMe4Surgery hashtag.ResultsUsers of the hashtag came from a wide variety of specialties and geographical locations, as well as varying in age and stage of training. The inception of #SoMe4Surgery was followed by an increase in the follower count and impressions of users. A total of 675 tweeters posted 11 855 tweets with 30 122 retweets between 28 July and 27 December inclusive. There were new contributors and activity throughout the period. There were many more retweeters than accounts posting original content. Over a 10-day period ending on 31 December 2018, the number of followers of the 10 most influential accounts was higher than the number of followers of the 10 most engaging accounts (p=0.002). The mean (SD) number of tweetchat participants was 121 (64), who posted 719 (365) tweets and had a potential reach of 3 825 155 (1 887 205) accounts. Spin-off projects included surveys from low and medium-income countries, subspecialised hashtags, presentations and one publication.ConclusionsThe creation of a cohesive online surgical community may allow a flattened hierarchy, with increased engagement between surgeons, other healthcare professionals, researchers and patients.


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