The Analysis of Online Communities using Interactive Content-based Social Networks

published or submitted for publicationis peer reviewe

The Role of Social Media in Developing Online Learning Communities

The purpose of this study was to examine the role of social media in develop-ing learning communities in both formal and informal learning contexts. The study was based on a theoretical framework to examine online learning communities from three levels: individual, interactional and group. This study selected two cases: the first case was a formal learning group that used networked learning via Twitter and WhatsApp within a blended learning environment in an academic module; this for-mal learning group was controlled by the teacher of the module. The second case was an informal learning group that used Twitter and WhatsApp to learn and prac-tise English as a second language; this group was created and informally organised by an active member on Twitter who was interested in teaching and practising Eng-lish. Semi-structured interviews, focus groups and WhatsApp discussion samples were the three main data collection methods of this study. The data were analysed using three procedures. Firstly, a thematic analysis of the interviews was conducted to generate a thematic research map and create a coding scheme for analysing the content of the WhatsApp discussions. Secondly, a social network analysis (SNA) was applied to the WhatsApp group discussions to map out the interactions among group members and select the sample of WhatsApp discussion for the third data analysis procedure. The third procedure was content analysis (CA), which was ap-plied to the WhatsApp conversations that occurred during the selected sample (the three most active and connected weeks). Findings from the SNA and CA were used to triangulate the results of the thematic analysis. The findings revealed that the ex-istence of similar learning needs, interactive communication among members and using appropriate communication tools are the main factors that develop online learning communities on social media. Also, it showed that the main function of us-ing Twitter for learning purposes was to develop the academic and social presence of the students/learners, while the main learning function of using WhatsApp was to provide an instant and open communication environment for online learning com-munity members. However, there were different uses of these applications in formal and informal learning contexts, which were described in the study

Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings

In this paper we present a novel interactive multimodal learning system, which facilitates search and exploration in large networks of social multimedia users. It allows the analyst to identify and select users of interest, and to find similar users in an interactive learning setting. Our approach is based on novel multimodal representations of users, words and concepts, which we simultaneously learn by deploying a general-purpose neural embedding model. We show these representations to be useful not only for categorizing users, but also for automatically generating user and community profiles. Inspired by traditional summarization approaches, we create the profiles by selecting diverse and representative content from all available modalities, i.e. the text, image and user modality. The usefulness of the approach is evaluated using artificial actors, which simulate user behavior in a relevance feedback scenario. Multiple experiments were conducted in order to evaluate the quality of our multimodal representations, to compare different embedding strategies, and to determine the importance of different modalities. We demonstrate the capabilities of the proposed approach on two different multimedia collections originating from the violent online extremism forum Stormfront and the microblogging platform Twitter, which are particularly interesting due to the high semantic level of the discussions they feature

Interactive Newsprint: The Future of Newspapers? Printed electronics meets hyperlocal and community co-design

The news industry is currently in a well-documented state of flux, with publishers from across the developed world examining new business models, reinterpreting existing relationships between their income streams and readers, while maintaining their ability to generate editorial output that is relevant and interesting to the communities they cover. Interactive Newsprint seeks to add a new and revolutionary dimension to this media evolution by asking: can printed electronics and internet-enabled paper (technologies that utilise standard paper and printing processes and through conductive ink and battery power offer capacitive touch interactions similar to smartphones and tablets) create a new way of transmitting community-based news and information? Utilising co-design techniques and practices, the project seeks to produce community- relevant hyperlocal text and audio content and place it on a centuries-old platform: the newspaper. As a result of the paper's internet connectivity, the project is also examining potential benefits of transplanting some online features such as analytic data on user interactions. Led by the School of Journalism, Media and Communication (JoMeC) at the University of Central Lancashire (UCLan), the 18-month, EPRSC-funded project is therefore examining the potential for community co-design and printed electronics to transform paper- based news and information for the 21st Century, along with revenue and data generation that is unique to digital formats such as websites, social networks, smartphones and tablets. Building on work carried out on the EPSRC-funded Bespoke project, researchers from UCLan, University of Dundee, University of Surrey and commercial printed electronics firm Novalia are prototyping a series of paper-based community news platforms that are populated by content produced by community reporters and generated through an iterative co-design process. This paper will outline the methodology, technological potential of interactive newsprint and how the project is looking to embed analytic data into traditional printed-paper formats. It will also focus on how members of the Preston community are shaping both the news and platform over the 18-month process. As the project is mid-way through, the paper will present an overview of the project to date, outline the design methodology and describe and demonstrate the early-stage prototypes. The paper will also hint at new editorial construction practices as community and professional reporters all contribute to the hyperlocally-themed editorial output. The authors will present a discussion of the theoretical framework that underpins the project as a whole. In addition to the practical illustrations, the paper will outline the authors' initial thoughts on how interactive newsprint – through its internet connectivity and potential for data transfer – could revolutionise editorial and advertorial relationships

Measuring consumers' engagement with brand-related social-media content: development and validation of a scale that identifies levels of social-media engagement with brands

The main purpose of this study is to develop a scale to measure consumer's engagement with social media brand-related content. The reported scale (CESBC) comprises three dimensions: consumption, contribution, and creation. Qualitative techniques were used to generate an initial pool of items that capture different levels of consumer engagement with social media brand-related content. Quantitative data from a consumer survey (=2252) was then collected in two phases to calibrate and validate the ensuing scale. Results confirmed the structure and psychometric properties of the CESBC. As expected, each subscale is significantly correlated with nomological network constructs, i.e., brand equity and brand attitudes

The Size Conundrum: Why Online Knowledge Markets Can Fail at Scale

In this paper, we interpret the community question answering websites on the StackExchange platform as knowledge markets, and analyze how and why these markets can fail at scale. A knowledge market framing allows site operators to reason about market failures, and to design policies to prevent them. Our goal is to provide insights on large-scale knowledge market failures through an interpretable model. We explore a set of interpretable economic production models on a large empirical dataset to analyze the dynamics of content generation in knowledge markets. Amongst these, the Cobb-Douglas model best explains empirical data and provides an intuitive explanation for content generation through concepts of elasticity and diminishing returns. Content generation depends on user participation and also on how specific types of content (e.g. answers) depends on other types (e.g. questions). We show that these factors of content generation have constant elasticity---a percentage increase in any of the inputs leads to a constant percentage increase in the output. Furthermore, markets exhibit diminishing returns---the marginal output decreases as the input is incrementally increased. Knowledge markets also vary on their returns to scale---the increase in output resulting from a proportionate increase in all inputs. Importantly, many knowledge markets exhibit diseconomies of scale---measures of market health (e.g., the percentage of questions with an accepted answer) decrease as a function of number of participants. The implications of our work are two-fold: site operators ought to design incentives as a function of system size (number of participants); the market lens should shed insight into complex dependencies amongst different content types and participant actions in general social networks.Comment: The 27th International Conference on World Wide Web (WWW), 201

Building capacity in climate change policy analysis and negotiation: methods and technologies

Capacity building is often cited as the reason “we cannot just pour money into developing countries” and why so many development projects fail because their design does not address local conditions. It is therefore a key technical and political concept in international development. Some of the poorest countries in the world are also some of the most vulnerable to the impacts of climate change. Their vulnerability is in part due to a lack of capacity to plan and anticipate the effects of climate change on crops, water resources, urban electricity demand etc. What capacities do these countries lack to deal with climate change? How will they cope? What steps can they take to reduce their vulnerability? This innovative and high-profile research project was part of a larger project (called C3D) and conducted with non-governmental organisations in Senegal, South Africa and Sri Lanka. The research involved several participatory workshops and a questionnaire to all three research centres

Teensites.com: A Field Guide to the New Digital Landscape

A 2001 report from the Center for Media Education, provided here as background to work produced by Kathryn Montgomery after coming to American University and CSM (see http://www.centerforsocialmedia.org/resources/publications/ecitizens/index2.htm -- Youth as E-Citizens'), surveys the burgeoning digital media culture directed at -- and in some cases created by -- teens.This report surveys the burgeoning new media culture directed at -- and in some cases created by -- teens. TeenSites.com -- A Field Guide to the New Digital Landscape examines the uniquely interactive nature of the new media, and explores the ways in which teens are at once shaping and being shaped by the electronic culture that surrounds them