Web 2.0, new literacies, and the idea of learning through participation

In this paper I identify some current elaborations on the theme of participation and digital literacy in order to open further debate on the relationship between interaction, collaboration, and learning in online environments. Motivated by an interest in using new technologies in the context of formal learning (Merchant, 2009), I draw on in-school and out-of-school work in Web 2.0 spaces. This work is inflected by the new literacies approach (Lankshear and Knobel, 2006a), and here I provide an overview of the ways in which learning through participation is characterised by those adopting this and other related perspectives. I include a critical examination of the idea of ‘participatory’ culture as articulated in the field of media studies, focusing particularly on the influential work of Jenkins (2006a; 2006b). In order to draw these threads together around conceptualizations of learning, I summarise ways in which participation is described in the literature on socially-situated cognition. This is used to generate some tentative suggestions about how learning and literacy in Web 2.0 spaces might be envisioned and how ideas about participation might inform curriculum planning and design

Emerging technologies for learning (volume 1)

Collection of 5 articles on emerging technologies and trend

Image sharing privacy policy on social networks using A3P

User Image sharing social site maintaining privacy has become a major problem, as demonstrated by a recent wave of publicized incidents where users inadvertently shared personal information. In light of these incidents, the need of tools to help users control access to their shared content is apparent. Toward addressing this need an Adaptive Privacy Policy Prediction (A3P) system to help users compose privacy settings for their images. The solution relies on an image classification framework for image categories which may be associated with similar policies and on a policy prediction algorithm to automatically generate a policy for each newly uploaded image, also according to user’s social features. Image Sharing takes place both among previously established groups of known people or social circles and also increasingly with people outside the users social circles, for purposes of social discovery-to help them identify new peers and learn about peers interests and social surroundings, Sharing images within online content sharing sites, therefore, may quickly lead to unwanted disclosure. The aggregated information can result in unexpected exposure of one’s social environment and lead to abuse of one’s personal information

Folksonomy: the New Way to Serendipity

Folksonomy expands the collaborative process by allowing contributors to index content. It rests on three powerful properties: the absence of a prior taxonomy, multi-indexation and the absence of thesaurus. It concerns a more exploratory search than an entry in a search engine. Its original relationship-based structure (the three-way relationship between users, content and tags) means that folksonomy allows various modalities of curious explorations: a cultural exploration and a social exploration. The paper has two goals. Firstly, it tries to draw a general picture of the various folksonomy websites. Secundly, since labelling lacks any standardisation, folksonomies are often under threat of invasion by noise. This paper consequently tries to explore the different possible ways of regulating the self-generated indexation process.taxonomy; indexation; innovation and user-created content

MC2: MPEG-7 content modelling communities

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe use of multimedia content on the web has grown significantly in recent years. Websites such as Facebook, YouTube and Flickr cater for enormous amounts of multimedia content uploaded by users. This vast amount of multimedia content requires comprehensive content modelling otherwise retrieving relevant content will be challenging. Modelling multimedia content can be an extremely time consuming task that may seem impossible particularly when undertaken by individual users. However, the advent of Web 2.0 and associated communities, such as YouTube and Flickr, has shown that users appear to be more willing to collaborate in order to take on enormous tasks such as multimedia content modelling. Harnessing the power of communities to achieve comprehensive content modelling is the primary focus of this research. The aim of this thesis is to explore collaborative multimedia content modelling and in particular the effectiveness of existing multimedia content modelling tools, taking into account the key development challenges of existing collaborative content modelling research and the associated modelling tools. Four research objectives are pursued in order to achieve this; first, design a user experiment to study users’ tagging behaviour with existing multimedia tagging tools and identify any relationships between such user behaviour; second, design and develop a framework for MPEG-7 content modelling communities based on the results of the experiment; third, implement an online service as a proof of concept of the framework; fourth, validate the framework through the online service during a repeat of the initial user experiment. This research contributes first, a conceptual model of user behaviour visualised as a fuzzy cognitive map and, second, an MPEG-7 framework for multimedia content modelling communities (MC2) and its proof of concept as an online service. The fuzzy cognitive model embodies relationships between user tagging behaviour and context and provides an understanding of user priorities in the description of content features and the relationships that exist between them. The MC2 framework, developed based on the fuzzy cognitive model, is deep-rooted in user content modelling behaviour and content preferences. A proof of concept of the MC2 framework is implemented as an online service in which all metadata is modelled using MPEG-7. The online service is validated, first, empirically with the same group of users and through the same experiment that led to the development of the fuzzy cognitive model and, second, functionally against the folksonomy and MPEG-7 content modelling tools used in the initial experiment. The validation demonstrates that MC2 has the advantages without the shortcomings of existing multimedia tagging tools by harnessing the ease of use of folksonomy tools while producing comprehensive structured metadata.Supported by UK Engineering and Physical Sciences Research Council (EPSRC

Using Instagram to Engage with (Potential) Consumers: A study of Forbes Most Valuable Brands’ Use of Instagram

With over 800 million monthly users, Instagram has become one of the most popular social networking sites utilized by individuals and businesses alike. Guided by interactivity theory, the current study identifies connections between the posting behaviour of popular brands on Instagram and audience engagement. Instagram posts (N = 710) from brands on the Forbes Most Valuable Brands list were coded for image type and the presence of brand-related and social content. Using an individualized engagement score for each post, results found audiences were most responsive when images featured products and logos together and when social content appears in captions. Findings of this study are useful to marketing strategists aiming to capitalize on this platform