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This paper examines the role of content analysis in media-rich online communities. We highlight changes in the multimedia generation and consumption process that has occurred the past decade, and discuss several new angles this has brought to multimedia analysis research. We first examine the content production, dissemination and consumption patterns in the recent social media studies literature....
The main purpose of this paper is to propose a content analysis approach in order to develop an ontology of university social responsibility (USR). The proposed approach comprises four main phases in which two content analyses software have been utilized to extract the main USR components and to identify the domain of this concept. To achieve the goal, the existing body of knowledge of USR definitions...
In this paper we present a framework that extracts meaningful knowledge from microposts shared in social platforms in order to build user profiles. This process involves different steps for the analysis of such microposts (extraction of keywords, named entities and their matching to ontological concepts) and their weighting. The concept weighting involves different scores, such as sentiment analysis...
Based on existing researches about interaction analysis, this paper designs an interaction analysis coding system to study the level of knowledge construction in web-based interaction. Methods of content analysis and social network analysis are used to analyze the interaction content of a web class on Moodle, which provides a web-based learning platform for a national level excellent course named...
The emergence of wireless communities offers an attractive alternative to operator-centric models for providing broadband wireless services. While the first attempts of purely self-organized communities have been limited by the difficulty of attracting enough members willing to share their resources with the community, newer hybrid wireless communities (where a firm supports and incentivizes individuals...
We examine digital social media ecosystems such as blogs and mailing lists from the perspective of communities of practice. We observe behaviors of agents and specify prevalent patterns of collaborations in digital media ecosystem.We describe several techniques important in patterns specification such as social network analysis and content analysis. The conceptualization of our observations was done...
Community based question and answer systems have been promoted as Web 2.0 solutions to the problem of finding expert knowledge. This promise depends on systemspsila capacity to attract and sustain experts capable of offering high quality, factual answers. Content analysis of dedicated contributorspsila messages in the live QnA system found: (1) few contributors who focused on providing technical answers...
The field of e-government still lacks a coherent identity at present. In this paper, we seek answers to this question by relying on a large-scale survey of e-government field articles. A consensual conception of the field held by its members is derived. Then, it is discussed that the definition and its six sub-elements. Findings suggest that e-governmentpsilas success as a field emerges from a widely...
The paper presents an ontological approach for enabling personalized searching framework facilitating the user access to desired contents. Through the ontologies the system will express key entities and relationships describing resources in a formal machine-processable representation. An ontology-based knowledge representation could be used for content analysis and concept recognition, for reasoning...
Over the past few years, online communities have gained their popularity among Internet users. Many people join these communities to share experiences and ask for advices. Since ldquosharing one's original experience is the fundamental source of tacit knowledgerdquo [p.670], it is possible that online community users from all over the world are sharing their tacit knowledge while they are revealing...
The threaded discussion communities are one of the most common forms of online communities, which are becoming more and more popular among web users. Everyday a huge amount of new discussions are added to these communities, which are difficult to summarize and search. In this paper, we propose a topic detection and tracking (TDT) method for the discussion threads. Most existing TDT methods deal with...
Blogs provide the contextualization of the information which is vital to the process of peer support. Through dialogues initiated by blog authors and followed by readers, blog platforms build a viable base of shared experiences and mutual relationships. We employ blogs as interactive learning tools for communities of practice in higher education. Content analysis based on empirical data is used to...
Web forums provide platforms for any Internet users around the world to communicate with each other and express their opinions. In many of the discussions in Web forums, it involves issues related to terrorism and crime. Some participants are even using the platform to propagandize their ideology or recruit members to commit crime. In this work, we propose a Web forum analysis system to analyze the...
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