Word of mouth communication within online communities:conceptualizing the online social network

Word of mouth (WOM) communication is a major part of online consumer interactions, particularly within the environment of online communities. Nevertheless, existing (offline) theory may be inappropriate to describe online WOM and its influence on evaluation and purchase.The authors report the results of a two-stage study aimed at investigating online WOM: a set of in-depth qualitative interviews followed by a social network analysis of a single online community. Combined, the results provide strong evidence that individuals behave as if Web sites themselves are primary "actors" in online social networks and that online communities can act as a social proxy for individual identification. The authors offer a conceptualization of online social networks which takes the Web site into account as an actor, an initial exploration of the concept of a consumer-Web site relationship, and a conceptual model of the online interaction and information evaluation process. © 2007 Wiley Periodicals, Inc. and Direct Marketing Educational Foundation, Inc.

Social control in online communities of consumption:a framework for community management

Online communities of consumption (OCCs) represent highly diverse groups of consumers whose interests are not always aligned. Social control in OCCs aims to effectively manage problems arising from this heterogeneity. Extant literature on social control in OCCs is fragmented as some studies focus on the principles of social control, while others focus on the implementation. Moreover, the domain is undertheorized. This article integrates the disparate literature on social control in OCCs providing a first unified conceptualization of the topic. The authors conceptualize social control as a system, or configuration, of moderation practices. Moderation practices are executed during interactions operating under different governance structures (market, hierarchy, and clan) and serving different purposes (interaction initiation, maintenance, and termination). From this conceptualization, important areas of future research emerge and research questions are developed. The framework also serves as a community management tool for OCC managers, enabling the diagnosis of social control problems and the elaboration of strategies and tactics to address them.

We want drama! The effect of online conflict on social capital in online communities of consumption

Online communities (OC) are an expanding social phenomenon gaining increasing interest from marketing practitioners. Community managers thus aim to increase OCs’ social capital. Diversity of individuals interacting in OCs provokes a lot of conflict. However, the influence of online conflict on OCs’ social capital is not clear as research indicates both positive and negative effects. The research aims to explain these contradictory effects by conceptualizing conflict as drama and developing a typology of online conflict. Based on netnographic investigations of a forum, four types of conflicts are thus distinguished depending on valence of emotions and the type of members involved. The research contributes to literature on OC dynamics and is of particular interest for community managers working in any company or organization.

Keyboard warriors in cyberfights:conflict in online communities of consumption and its effects on community resources

Conflicts are very common in Online Consumption Communities (OCC) and numerous expressions have developed to describe them. Prior research indicates contradictory effects on community resources, namely social capital and culture. One stream finds that online conflict dissolves social capital and community culture (cf. De Valck 2007) while another stream finds it enhances them (cf. Ewing, Wagstaff, and Power 2013). Therefore, the effect of OCC conflict on community resources is unclear. In this paper, we (1) investigate conflict in OCC to develop a typology, and (2) delineate how each type of OCC conflict impacts community resources. This research contributes to our understanding of OCC conflicts and to the literature on value formation in OCC.

Keyboard warriors in cyberfights:conflict in online communities of consumption

Nowadays, with the use of social media generalizing, increasingly more people gather online to share their passion for specific consumption activities. Despite this shared passion, conflicts frequently erupt in online communities of consumption (OCC). A systematic review of the literature revealed that a lot of knowledge has developed on OCC conflict. Different types of conflicts unfolding in an OCC context have been distinguished, various drivers of conflict identified and various consequences outlined at the individual level (experiential value) and the community level (collective engagement and community culture). However the specificity of conflicts unfolding in an OCC context has not been conceptualized. Past research is also inconclusive as to where and when does OCC conflict create or destroy value in communities. This research provides a theory of OCC conflict and its impact on value formation by conceptualizing OCC conflict as performances. The theory was developed by conducting a netnography of a clubbing forum. Close to 20,000 forum posts and 250 pages of interview transcript and field notes were collected over 27 months and analysed following the principles of grounded theory. Four different types of conflict performances are distinguished (personal, played, reality show and trolling conflict) based on the clarity of the performance. Each type of conflict performance is positioned with regard to its roots and consequences for value formation. This research develops knowledge on disharmonious interactions in OCCs contributing to the development of a less utopian perspective of OCCs. It indicates how conflict is not only a byproduct of consumption but it is also a phenomenon consumed. It also introduces the concept of performance clarity to the literature on performance consumption. This research provides guidelines to community managers on how to manage conflict and raises ethical issues regarding the management of conflict on social media.

Modelling question selection behaviour in online communities

Value of online Question Answering (QandA) communities is driven by the question-answering behaviour of its members. Finding the questions that members are willing to answer is therefore vital to the effcient operation of such communities. In this paper, we aim to identify the parameters that cor- relate with such behaviours. We train different models and construct effective predictions using various user, question and thread feature sets. We show that answering behaviour can be predicted with a high level of success.

Quantising contribution effort in online communities

We describe the Joint Effort-Topic (JET) model and the Author Joint Effort-Topic (aJET) model that estimate the effort required for users to contribute on different topics. We propose to learn word-level effort taking into account term preference over time and use it to set the priors of our models. Since there is no gold standard which can be easily built, we evaluate them by measuring their abilities to validate expected behaviours such as correlations between user contributions and the associated effort.

Automatic identification of best answers in online enquiry communities

Online communities are prime sources of information. The Web is rich with forums and Question Answering (Q&A) communities where people go to seek answers to all kinds of questions. Most systems employ manual answer-rating procedures to encourage people to provide quality answers and to help users locate the best answers in a given thread. However, in the datasets we collected from three online communities, we found that half their threads lacked best answer markings. This stresses the need for methods to assess the quality of available answers to: 1) provide automated ratings to fill in for, or support, manually assigned ones, and; 2) to assist users when browsing such answers by filtering in potential best answers. In this paper, we collected data from three online communities and converted it to RDF based on the SIOC ontology. We then explored an approach for predicting best answers using a combination of content, user, and thread features. We show how the influence of such features on predicting best answers differs across communities. Further we demonstrate how certain features unique to some of our community systems can boost predictability of best answers.

Tracing social influence in responses to strategy change in an online community

Interest into the effects of social influence on members of online communities is growing but there is a lack of knowledge about the impact of influential members in online communities on responses to strategy change within the wider community. We explore social influence in responses to strategy change through content analysis of forum posts before and after a change in strategy. Acceptance or non-acceptance of strategy change and subsequent positive and negative behavioural responses online are dependent on individual factors. The details of these behavioural responses to a change in strategy are tabulated and included in a conceptual model to inform decision-makers. Strategy change precipitates a reduction in social influence effects. Non-acceptance of strategy change is associated with competitor advertisement, inflammatory behaviour, offensive behaviour and complaints. This negative behaviour has important ramifications for acceptance of strategy change within the wider community and impacts on the viability of setting up online forums. © 2014 © 2014 Taylor & Francis.

The importance of power dynamics in the development of asynchronous online learning communities

This research explored how a more student-directed learning design can support the creation of togetherness and belonging in a community of distance learners in formal higher education. Postgraduate students in a New Zealand School of Education experienced two different learning tasks as part of their online distance learning studies. The tasks centered around two online asynchronous discussions each for the same period of time and with the same group of students, but following two different learning design principles. All messages were analyzed using a twostep analysis process, content analysis and social network analysis. Although the findings showed a balance of power between the tutor and the students in the first high e-moderated activity, a better pattern of group interaction and community feeling was found in the low e-moderated activity. The paper will discuss the findings in terms of the implications for learning design and the role of the tutor.

A question of complexity:measuring the maturity of online enquiry communities

Online enquiry communities such as Question Answering (Q&A) websites allow people to seek answers to all kind of questions. With the growing popularity of such platforms, it is important for community managers to constantly monitor the performance of their communities. Although different metrics have been proposed for tracking the evolution of such communities, maturity, the process in which communities become more topic proficient over time, has been largely ignored despite its potential to help in identifying robust communities. In this paper, we interpret community maturity as the proportion of complex questions in a community at a given time. We use the Server Fault (SF) community, a Question Answering (Q&A) community of system administrators, as our case study and perform analysis on question complexity, the level of expertise required to answer a question. We show that question complexity depends on both the length of involvement and the level of contributions of the users who post questions within their community. We extract features relating to askers, answerers, questions and answers, and analyse which features are strongly correlated with question complexity. Although our findings highlight the difficulty of automatically identifying question complexity, we found that complexity is more influenced by both the topical focus and the length of community involvement of askers. Following the identification of question complexity, we define a measure of maturity and analyse the evolution of different topical communities. Our results show that different topical communities show different maturity patterns. Some communities show a high maturity at the beginning while others exhibit slow maturity rate. Copyright 2013 ACM.

Predicting answering behaviour in online question answering communities

The value of Question Answering (Q&A) communities is dependent on members of the community finding the questions they are most willing and able to answer. This can be difficult in communities with a high volume of questions. Much previous has work attempted to address this problem by recommending questions similar to those already answered. However, this approach disregards the question selection behaviour of the answers and how it is affected by factors such as question recency and reputation. In this paper, we identify the parameters that correlate with such a behaviour by analysing the users' answering patterns in a Q&A community. We then generate a model to predict which question a user is most likely to answer next. We train Learning to Rank (LTR) models to predict question selections using various user, question and thread feature sets. We show that answering behaviour can be predicted with a high level of success, and highlight the particular features that inuence users' question selections.

Chronic illness in non-heterosexual contexts: an online survey of experiences

In this article we contribute to the expansion of lesbian, gay, bisexual, transgender and queer (LGBTQ) health psychology beyond the confines of sexual health by examining the experiences of lesbian, gay and bisexual people living with non-HIV related chronic illness. Using a (predominantly) qualitative online survey, the perspectives of 190 LGB people with 52 different chronic illnesses from eight countries were collected. The five most commonly reported physical conditions were arthritis, hypertension, diabetes, asthma and chronic fatigue syndrome. Our analysis focuses on four themes within participants’ written comments: (1) ableism within LGBT communities; (2) isolation from LGBT communities and other LGB people living with chronic illness; (3)heteronormativity within sources of information and support and; (4) homophobia from healthcare professionals. We conclude by suggesting that LGBTQ psychology could usefully draw on critical health psychology principles and frameworks to explore non-heterosexual’s lived experiences of chronic illness, and also that there remains a need for specifically targeted support groups and services for LGB people with chronic illnesses.

Communities, centres, connections, disconnections:some reflections on the riots in Birmingham

This paper presents key ideas from fieldwork conducted in Birmingham between 2009 and 2011. This work examined identity in 'white' neighbourhoods, and attitudes to politics and understandings of poverty in more mixed ones. This work revealed that many Birmingham residents were concerned about a perceived loss of values, the impact of 'unrespectable' households and individuals in their areas and the apparent disconnect between political representatives and local residents. In the aftermath of the disturbances of August 2011 across England, including in Birmingham, we revisit these themes and examine the implications for understanding disorder in the city of Birmingham.

Conflicts and online community social capital:the influence of conflict management practices

Conflicts are part and parcel of online community dynamics (De Valck 2007; Harrison and Jenkins 1996; Kozinets 2001) – from flames about publishing inappropriate content (De Zwart and Lindsay 2009) to battles to win high status positions (Campbell, Fletcher and Greenhill 2009) and stigmatization of illegitimate insiders (Tikkanen, Hietanen, Henttonen, and Rokka 2009) up to bashing and smearing campaigns (Bocij 2002). As the concept of community presumes unity, marketers may be inclined to suppress any dissonance in their online brand communities thinking that it may hurt brand image or community attractiveness. However, Fournier and Lee (2009) advise marketers to embrace the conflicts that make communities thrive. As tensions and conflict cannot be avoided this seems logical advice. Nevertheless, are all tensions and conflicts created equally? Are some not more constructive (or destructive) than others? Thus, should all tensions and conflicts really be embraced, and what can be done to channel tensions and conflicts such that they do not become destructive? These questions form the starting point of this paper.