Journal articles: 'Online community'

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Longden, Lee. "Is Online Community Transformative Community?" Journal of Adult Theological Education 10, no. 2 (November 2013): 102–15. http://dx.doi.org/10.1179/1740714114z.00000000017.

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Wang, Ping An. "Assessment of Asynchronous Online Discussions for a Constructive Online Learning Community." International Journal of Information and Education Technology 5, no. 8 (2015): 598–604. http://dx.doi.org/10.7763/ijiet.2015.v5.575.

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Crawford, Corinne, and Colin Persaud. "Community Colleges Online." Journal of College Teaching & Learning (TLC) 10, no. 1 (December 24, 2012): 75. http://dx.doi.org/10.19030/tlc.v10i1.7534.

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Presently, community colleges are bursting at the seams. In 2011, community colleges turned away more than 400,000 prospective students. In the next six years, 63 percent of all U. S. jobs will require postsecondary education. Twenty two million new workers with postsecondary degrees will be needed by 2018. Community colleges are turning increasingly to online technology to increase capacity in order to meet the surging demand for higher education attainment. In this article we will look at the role of online education in the community college setting.

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Hajibayova, Lala. "Online Representation of Azerbaijani Online Community." Khazar Journal of Humanities and Social Sciences 15, no. 4 (November 21, 2012): 34–49. http://dx.doi.org/10.5782/2223-2621.2012.15.4.34.

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Fagin, Barry. "Liberty and community online." ACM SIGCAS Computers and Society 28, no. 2 (June 1998): 69–78. http://dx.doi.org/10.1145/276758.276782.

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Ku, Wen-Yuan, Oswald Ndi Nfor, Wen-Hsiu Liu, Disline Manli Tantoh, Shu-Yi Hsu, Lee Wang, Tien-Yin Chou, and Yung-Po Liaw. "Online community collaborative map." Medicine 98, no. 20 (May 2019): e15521. http://dx.doi.org/10.1097/md.0000000000015521.

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Overduin, Carla. "‘Online community building werkt’." Zorg + Welzijn 22, no. 10 (September 27, 2016): 20–21. http://dx.doi.org/10.1007/s41185-016-0159-8.

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Wang, Hua, Jae Eun Chung, Namkee Park, Margaret L. McLaughlin, and Janet Fulk. "Understanding Online Community Participation." Communication Research 39, no. 6 (May 12, 2011): 781–801. http://dx.doi.org/10.1177/0093650211408593.

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Kim, Donghee. "Cyberbullying Behaviors in Online Travel Community: Members’ Perceptions and Sustainability in Online Community." Sustainability 14, no. 9 (April 26, 2022): 5220. http://dx.doi.org/10.3390/su14095220.

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Online travel community (OTC) has been played a critical role for digital marketing in the travel industry. The successful operation of an online travel community is depending on social connection and active friendship among the OTC’s users. However, cyber-victimization has become a critical concern which has been threaten sustainable online travel community. In this regard, this study investigates how cyber-victimization recovery practices in OTAs affect online community ambient and behavioral loyalty in OTCs using second-order confirmatory factor analysis. The results indicate that the OTCs’ efforts to recover the online ambient against cyber-victimization lead OTC members to be loyal to the OTCs. Implications for the sustainable online travel community were discussed.

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Marshall, Jonathan Paul. "Categories, Gender and Online Community." E-Learning and Digital Media 3, no. 2 (June 2006): 245–62. http://dx.doi.org/10.2304/elea.2006.3.2.245.

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Fox, Rebekah, Kathleen Abrahamson, and James G. Anderson. "Exploring a Nursing Community Online." International Journal of Reliable and Quality E-Healthcare 2, no. 1 (January 2013): 51–62. http://dx.doi.org/10.4018/ijrqeh.2013010105.

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Online forums offer researchers opportunities to investigate communities in unobtrusive ways to understand better the experiences, concerns, and stories of those who contribute. In this exploratory study, the authors analyze content from one online nursing community to highlight the breadth of topics being discussed outside of the nursing workplace but within the nursing community (e.g. topics, that when taken together, begin to structure a collective narrative for this on-line community). Then, the authors explore one specific topic being discussed by this nursing community, nurse bullying, in an effort to better understand how the current nursing literature’s coverage of the topic compares with the discussion emerging from this on-line community. Finally, suggestions for using on-line forums as research sites are discussed.

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Irwin, Jeannie, Titus Schleyer, and Heiko Spallek. "The dental informatics online community." Bioinformation 5, no. 7 (January 6, 2011): 307–9. http://dx.doi.org/10.6026/97320630005307.

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Hilliard, Marisa, Kerri Sparling, Jeff Hitchcock, Tamara Oser, and Korey Hood. "The Emerging Diabetes Online Community." Current Diabetes Reviews 11, no. 4 (July 29, 2015): 261–72. http://dx.doi.org/10.2174/1573399811666150421123448.

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Littledyke, Michael. "Developing an Online Learning Community." International Journal of Technologies in Learning 19, no. 3 (2013): 43–60. http://dx.doi.org/10.18848/2327-0144/cgp/v19i03/49097.

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Guo, Xitong, Shanshan Guo, Douglas Vogel, and Yijun Li. "Online Healthcare Community Interaction Dynamics." Journal of Management Science and Engineering 1, no. 1 (December 2016): 58–74. http://dx.doi.org/10.3724/sp.j.1383.101004.

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Padgett, Carl. "Joining the BVA's online community." Veterinary Record 170, no. 13 (March 30, 2012): 344.1–344. http://dx.doi.org/10.1136/vr.e2369.

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Valone, Lauren. "Cooking Up an Online Community." Journal of Museum Education 36, no. 3 (September 2011): 279–87. http://dx.doi.org/10.1080/10598650.2011.11510709.

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Newman, Ken. "Narrative in an online community." International Journal of Web Based Communities 1, no. 4 (2005): 475. http://dx.doi.org/10.1504/ijwbc.2005.008112.

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Andrews, Dorine C. "Audience-specific online community design." Communications of the ACM 45, no. 4 (April 2002): 64–68. http://dx.doi.org/10.1145/505248.505275.

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Turpin, David L. "Creating a professional community—online." American Journal of Orthodontics and Dentofacial Orthopedics 119, no. 5 (May 2001): 463. http://dx.doi.org/10.1067/mod.2001.115914.

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Kim, Hye‐Shin, Jin Yong Park, and Byoungho Jin. "Dimensions of online community attributes." International Journal of Retail & Distribution Management 36, no. 10 (September 5, 2008): 812–30. http://dx.doi.org/10.1108/09590550810901008.

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Pan, Haili. "Online Community Value Co-creation." Online Information Review 44, no. 3 (February 20, 2020): 645–69. http://dx.doi.org/10.1108/oir-09-2018-0276.

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PurposeMany companies strengthen their interaction with consumers by establishing online communities and bring convenience to value co-creation with consumers. Some companies use economic and social strategies to stimulate consumer value creation. However, the way to increase the effectiveness of such corporate strategies remains unclear. To address this challenge, this study investigates the impact patterns of economic and social strategies that influence consumers' value co-creation behaviour in firm-hosted online communities (FOCs). Moreover, the effective conditions for the value co-creation of the two strategies are explored.Design/methodology/approachData from an FOC were collected for electronic communications products. A total of 1,305 second-hand data records on value co-creation activities were obtained. Then, an econometric model was built and Stata14.0 software was used for data analysis.FindingsThe effect of economic interaction strategy on the value co-creation in online communities is an inverted U-shaped model, and that of social interaction strategy is relatively stable and is not an inverted U-shaped model. Value creation initiatives introduced by enterprise personnel adopt economic strategies to improve effectiveness. On the contrary, value co-creation activities initiated by consumers use social strategies for the same purpose. Economic strategies are effective for large teams, whereas social strategies may lead to a “free rider” mentality.Research limitations/implicationsThis study finds two important factors affecting the value co-creation in FOCs and their effective boundaries. However, other factors may also affect the online community value co-creation. Future research can further explore the intrinsic mechanisms of these strategies for value co-creation.Practical implicationsThis article mainly discusses the influence of stimulation strategies on the value co-creation in an actual company community and exhibits good practical significance for the value co-creation activity and management in online communities. Firstly, corporate strategy is effective in communities, but this strategy requires proper control. Secondly, the company strategy must consider appropriate application conditions.Originality/valueThis study deepens the understanding of the impact of economic and social strategies on the value co-creation in FOCs and the effective boundaries of these impact patterns.

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Fisher, Danyel, Tammara Turner, and Marc Smith. "Space Planning for Online Community." Proceedings of the International AAAI Conference on Web and Social Media 2, no. 1 (September 25, 2021): 51–59. http://dx.doi.org/10.1609/icwsm.v2i1.18617.

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Several years of consulting with online community hosts and managers have highlighted a variety of issues that recur across many online community development efforts. We summarize those issues in eight points that have functioned as useful guidelines to working with online communities, particularly within a corporate context. These recommendations focus on the location and purpose of the community, the monitoring of social activity within the space, the provision of feedback to participants and the organization and maintenance of the space. While this collection is particularly focused on issues relevant to community organizers closely involved in starting, maintaining or growing online communities, its principles are generally applicable for analyzing and understanding the dynamics within a variety of communities.

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Cejda, Brent. "Online education in community colleges." New Directions for Community Colleges 2010, no. 150 (June 21, 2010): 7–16. http://dx.doi.org/10.1002/cc.400.

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Barab, Sasha, Steve Schatz, and Rebecca Scheckler. "Using Activity Theory to Conceptualize Online Community and Using Online Community to Conceptualize Activity Theory." Mind, Culture, and Activity 11, no. 1 (February 2004): 25–47. http://dx.doi.org/10.1207/s15327884mca1101_3.

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Wang, Meiqi. "Online Support Community Building: An Interpersonal Pragmatic Study of Medical Sharing Discourse." International Journal of Languages, Literature and Linguistics 10, no. 2 (2024): 155–60. http://dx.doi.org/10.18178/ijlll.2024.10.2.504.

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The online support community is composed of netizens who have experienced shared stressful events or diseases. Few studies have focused on the mechanism of online community maintenance and construction. New rapport management model, as the frontier theory of interpersonal pragmatics, can avoid the limited coverage of linguistic evidence in sociological or communication approach. Medical sharing discourse is the true-life recording of personal medical experience in online community. As a new type of health discourse, it has become the main source for Chinese people to attain medical information. With complex interactive roles and special interpersonal contexts, it can best reflect interlocutors’ awareness of community building. Based on new rapport management model, this study focuses on the medical sharing discourse in China’s biggest online community Red Booklet. The discourse model and its interpersonal function in community maintenance will be elaborated in detail. Results show that bloggers have specific language selection in five language domains. Bloggers’ proper manipulation of interests, emotion, face, rights and obligations and communicative objectives in interaction contributes to the construction of online community.

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Luo, Xuemei, and Zhongwu Li. "Impact of online community interaction on value co-creation: Evidence from China." Problems and Perspectives in Management 20, no. 1 (March 1, 2022): 310–21. http://dx.doi.org/10.21511/ppm.20(1).2022.26.

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This paper explores the effect of online community interaction on value co-creation. The goal is to investigate internal factors influencing value co-creation through the SEM model and offer company managers effective management advice. This study investigates 485 customers in Xiaomi and Huawei online communities in China. An online questionnaire survey and convenient sampling are used, and a quantitative research method is adopted. The results of empirical analysis show that online community interaction, including human interaction (β = 0.141, p &lt; 0.05) and human-computer interaction (β = 0.126, p &lt; 0.05) positively affect value co-creation. Meanwhile, both human interaction (β = 0.300, p &lt; 0.001) and human-computer interaction (β = 0.371, p &lt; 0.001) significantly affect flow experience. Then flow experience (β = 0.689, p &lt; 0.001) positively affects community identity and community identity (β = 0.488, p &lt; 0.001) positively affects value co-creation. Yet, both human interaction (β = 0.051, p = 0.301) and human-computer interaction (β = 0.010, p = 0.858) do not significantly affect community identity. Flow experience (β = 0.032, p = 0.676) does not positively affect value co-creation. The results also show that neither flow experience alone nor community identity alone can play an intermediary role between online community interaction and value co-creation. Flow experience and community identity play a partial chain-intermediary effect between online community interaction and value co-creation. Finally, online community interaction, on the one hand, directly affects value co-creation, on the other hand, it indirectly affects value co-creation via chain-mediating factors comprised of flow experience and community identity. This study provides a theoretical foundation for companies to use psychological factors to promote customers taking part in value co-creation to enhance enterprise competitiveness. AcknowledgmentThe study is supported by the project: School of Business Administration Discipline Construction Funding Research Project, Guangxi University of Finance and Economics, China (No.12, 2016).

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Hammedi, Wafa, Jay Kandampully, Ting Ting (Christina) Zhang, and Lucille Bouquiaux. "Online customer engagement." Journal of Service Management 26, no. 5 (October 19, 2015): 777–806. http://dx.doi.org/10.1108/josm-11-2014-0295.

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Purpose – The emergence and success of online brand communities in the marketplace have attracted considerable interest; this study seeks to determine the conditions in which people create social environments by investigating the drivers of connections to a focal online brand community and other brand communities. The purpose of this paper is to investigate the composition of multi-community networks, focussing on the density and centrality of brand communities. Design/methodology/approach – On the basis of insights from prior literature, the proposed model examines customers’ social relationships with multiple brand communities. A survey of 290 participants spans eight brand communities. The modeling process used structural equation modeling; the analysis of the social relationship among brand communities relied on an ego network approach. Findings – Two drivers prompt connections to other online brand communities. First, personal identification with a core brand community enhances connections to other communities. Second, some core brand members choose a functionality-driven approach in creating social environments. Practical implications – For marketers, this study highlights the importance of positioning the brand community as part of a social environment. To strengthen customer-brand relationships, marketers should focus on community members’ multiple memberships. Originality/value – This paper extends understanding of online brand community members’ motivations to participate in a focal brand community. It also explains the creation of a social environment, through a careful consideration of participation in different brand communities and their relationships.

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Martinviita, Annamari. "The many faces of online community." Apples - Journal of Applied Language Studies 12, no. 2 (July 8, 2018): 55–74. http://dx.doi.org/10.17011/apples/urn.201812014967.

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This article discusses the meaning and function of “community” as a discourse on the image-sharing website Imgur. The analysis shows that the community term has many meanings and serves as a shorthand for a wide variety of social practices, and these meanings are shaped by the experiences of social action leading to the use of the term. Based on ethnographic data, nexus analysis provides an understanding of how the interactions related to community on the site come to take place the way they do. In conceiving of these interactions as mediated discourse, the article provides a fresh approach to the long-established academic discussion on the definition of community, suggesting a new conception of the community term as a boundary object, which takes on various meanings and functions as it is employed in social action. On Imgur, the community term is associated with an imagined connection to similar others, a shared culture, and the commitment to participation required by the intertextuality of the site content and the challenge of learning to read and create the content that is popular on the site.

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Rubelj, Aleksandra, Janita Tacer Slana, and Pero Šobot. "Online learning in the COBISS.SI community." Organizacija znanja 21, no. 2 (2016): 70–76. http://dx.doi.org/10.3359/oz1602070.

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Christensen, Emily M. "The online community: DID and plurality." European Journal of Trauma & Dissociation 6, no. 2 (June 2022): 100257. http://dx.doi.org/10.1016/j.ejtd.2021.100257.

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배순한, 서재교, and 백승익. "Exploring Centralities of An Online Community." Knowledge Management Society of Korea 11, no. 2 (June 2010): 17–35. http://dx.doi.org/10.15813/kmr.2010.11.2.002.

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Zhou, Tao. "Understanding online knowledge community user continuance." Data Technologies and Applications 52, no. 3 (July 2, 2018): 445–58. http://dx.doi.org/10.1108/dta-10-2017-0077.

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PurposeThe purpose of this paper is to draw on the social cognitive theory to identify the determinants of online knowledge community user continuance, which reflects a user’s continued use.Design/methodology/approachBased on the 271 valid responses collected from a survey, structural equation modelling was employed to examine the research model.FindingsThe results indicated that the cognitive factors of outcome expectation and the environmental factors of system quality and knowledge quality significantly affect a user’s continuance intention, which, in turn, affects continuance usage.Research limitations/implicationsThe results imply that service providers need to enhance community platforms and improve knowledge quality in order to retain users and facilitate their continuance.Originality/valueAlthough previous research has examined online knowledge community user behaviour from multiple perspectives such as the social exchange theory and the motivational theory, it has seldom explored the relative effects of personal cognitions and environmental factors on user behaviour. This research fills the gap.

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Mersey, Rachel Davis. "ONLINE NEWS USERS’ SENSE OF COMMUNITY." Journalism Practice 3, no. 3 (August 2009): 347–60. http://dx.doi.org/10.1080/17512780902798687.

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Johnson, Steven L., Hani Safadi, and Samer Faraj. "The Emergence of Online Community Leadership." Information Systems Research 26, no. 1 (March 2015): 165–87. http://dx.doi.org/10.1287/isre.2014.0562.

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Gratton, Lynda, and Joel Casse. "BOOSTING STRATEGY WITH AN ONLINE COMMUNITY." Business Strategy Review 21, no. 1 (March 2010): 40–45. http://dx.doi.org/10.1111/j.1467-8616.2010.00643.x.

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Johnson, Steven G., and Zane Berge. "Online Education in the Community College." Community College Journal of Research and Practice 36, no. 11 (August 24, 2012): 897–902. http://dx.doi.org/10.1080/10668920903323948.

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Garza Mitchell, ReginaL, Rachal Etshim, and BrianT Dietz. "Online CTE in the Community College." Career and Technical Education Research 41, no. 3 (December 1, 2016): 193–212. http://dx.doi.org/10.5328/cter41.3.193.

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Heward-Mills, Leon. "From learned society to online community." Learned Publishing 13, no. 4 (October 2000): 202–3. http://dx.doi.org/10.1087/09531510050162020.

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Jarke, Juliane. "Community-based evaluation in online communities." Information Technology & People 30, no. 2 (June 5, 2017): 371–95. http://dx.doi.org/10.1108/itp-03-2015-0046.

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Purpose The idea of “best practice” is very much built into information systems and the ways in which they organise and structure work. The purpose of this paper is to examine how “best practice” may be identified (produced) through a community-based evaluation process as opposed to traditional expert-based evaluation frameworks. The paper poses the following research questions: how does “best practice” (e)valuation in online communities differ depending on whether they are produced by community members or experts? And what role play these two practices of valuation for online community performance? Design/methodology/approach The paper is based on a three-year ethnographic study of a large-scale online community initiative run by the European Commission. Participant observation of online and offline activities (23 events) was complemented with 73 semi-structured interviews with 58 interviewees. The paper draws on Science and Technology Studies, and in particular actor-network theory. Findings Promoting the idea of “best practice” is not just an exercise about determining what “best” is but rather supposes that best is something that can travel across sites and be replicated. The paper argues that it is crucial to understand the work performed to coordinate multiple practices of producing “best practice” as apparatuses of valuation. Hence if practices are shared or circulate within an online community, this is possible because of material-discursive practices of dissociation and association, through agential cuts. These cuts demarcate what is important – and foregrounded – and what is backgrounded. In so doing new “practice objects” are produced. Research limitations/implications The research was conducted in the European public sector where participants are not associated through shared organisational membership (e.g. as employees of the same organisation). An environment for determining “best practice” that is limited to an organisation’s employees and more homogeneous may reveal further dynamics for “best practice” production. Practical implications This paper sheds light on why it is so difficult to reach commensuration in crowd-sourced environments. Originality/value The paper provides an analysis of how online community members collaborate in order to identify relevant and meaningful user-generated content. It argues that “best practice” is produced through a process of commensuration.

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Baek, Seung Ik, and Young Min Kim. "Longitudinal analysis of online community dynamics." Industrial Management & Data Systems 115, no. 4 (May 11, 2015): 661–77. http://dx.doi.org/10.1108/imds-09-2014-0266.

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Purpose – The purpose of this paper is to explore the dynamics of an online community by examining its participants’ centrality measures: degree, closeness, and the betweenness centrality. Each centrality measure shows the different roles and positions of an individual participant within an online community. To be specific, this research examines how an individual participant’s role and position affects her/his information sharing activities within an online community over time. Additionally, it investigates the differences between two different online communities (a personal interest focussed community and a social interest focussed community), in terms of the interaction patterns of participants. Design/methodology/approach – For this research, the authors collected log files from Korean online discussion communities (café.naver.com) using a crawler program. A social network analysis was used to explore the interaction patterns of participants and calculate the centrality measures of individual participants. Time series cross-sectional analysis was used to analyze the effects of the roles and the positions on their information sharing activities in a longitudinal setting. Findings – The results of this research showed that all three centrality measures of an individual participant in previous time periods positively influenced his/her information sharing activity in the current periods. In addition, this research found that, depending on the nature of the discussion issues, the participants showed different interaction patterns. Throughout this research, the authors explored the interaction patterns of individual participants by using a network variable, the centrality, within a large online community, and found that the interaction patterns provided strong impact on their information sharing activities in the following months. Research limitations/implications – To investigate the changes of participant’s behaviors, this study simply relies on the numbers of comments received and posted without considering the contents of the comments. Future studies might need to analyze the contents of the comments exchanged between participants, as well as the social network among participants. Practical implications – Online communities have developed to take a more active role in inviting public opinions and promoting discussion about various socio-economic issues. Governments and companies need to understand the dynamics which are created by the interactions among many participants. This study offers them a framework for analyzing the dynamics of large online communities. Furthermore, it helps them to respond to online communities in the right way and in the right time. Social implications – Online communities do not merely function as a platform for the free exchange and sharing of personal information and knowledge, but also as a social network that exerts massive influence in various parts of society including politics, economy, and culture. Now online communities become playing an important role in our society. By examining communication or interaction behaviors of individual participants, this study tries to understand how the online communities are evolved over time. Originality/value – In the area of online communities, many previous studies have relied on the subjective data, like participant’s perception data, in a particular time by using survey or interview. However, this study explores the dynamics of online communities by analyzing the vast amount of data accumulated in online communities.

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van Dijk, Yra. "Amateurs online: Creativity in a community." Poetics 43 (April 2014): 86–101. http://dx.doi.org/10.1016/j.poetic.2014.02.001.

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Zahedi, Morteza, Hojjat Mashal, and Seyed Mahdi Salehi. "An online community for the deaf." Procedia Computer Science 3 (2011): 1089–93. http://dx.doi.org/10.1016/j.procs.2010.12.177.

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Bristol, Tim J. "Building Community in the Online Course." Teaching and Learning in Nursing 14, no. 1 (January 2019): 72–74. http://dx.doi.org/10.1016/j.teln.2018.11.004.

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Han, Sangman, and Beom Jun Kim. "Network analysis of an online community." Physica A: Statistical Mechanics and its Applications 387, no. 23 (October 2008): 5946–51. http://dx.doi.org/10.1016/j.physa.2008.06.053.

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Seo, Jangwon, W. Bruce Croft, and David A. Smith. "Online community search using conversational structures." Information Retrieval 14, no. 6 (April 23, 2011): 547–71. http://dx.doi.org/10.1007/s10791-011-9166-8.

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Fahmi Ismail, Mohd, Maslina Abdul Aziz, Fatin Nur Syuhada Mohd Nor, Syaripah Ruzaini Syed Aris, and Suzana Zambri. "Student online marketplace for university community." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (July 1, 2020): 420. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp420-427.

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This research presents student online marketplace for university community. In this study, we identify current issues faced by university students while starting their business. Based on the preliminary investigation, it was found out that there are a number of students doing part-time jobs and doing business to support their living expenses. There are varieties of businesses and services offered among students especially students staying in colleges. However, the main problem faced by students either as the buyer or the seller is there is no business platform to promote their products or services. Al-so, there is a lack of information regarding the business or services since most communications are done through h instant messaging apps such as WhatsApp and social media. By having a student online marketplace, the exchange of goods and services take place by having buyers and sellers being in contact with one another. This student online marketplace also helps small businesses to boost their sales, encourage new business start-up and inspire students who have business idea to help them to kick-start their business. Students are able to perform their business in a safe and secure environment.

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Ha, Yongsoo. "Online Brand Community and Its Outcomes." Journal of Asian Finance, Economics and Business 5, no. 4 (October 31, 2018): 107–16. http://dx.doi.org/10.13106/jafeb.2018.vol5.no4.107.

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Chaturvedi, Wei T. Yue, Alok. "The Reward Based Online Shopping Community." Electronic Markets 10, no. 4 (October 1, 2000): 224–28. http://dx.doi.org/10.1080/101967800750050335.

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Boat, Anne, Matthew Monteleone, Jennifer J. Lee, and Lena S. Sun. "Reaching Parents Through an Online Community." Journal of Neurosurgical Anesthesiology 31, no. 1 (January 2019): 122–24. http://dx.doi.org/10.1097/ana.0000000000000539.

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Journal articles on the topic 'Online community'

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