This study assesses interest in curricular development in new technologies among communication faculty, with a focus on doctoral-level programs.Diffusion of innovations theory explains both individualand organizational-level factors that may account for adoption of innovations, including those stemming from new technologies. In the field of communication, media information technology programs r...

Using recent insights from Cognitive, Affective and Social Neuroscience this paper addresses how affective states in social interactions can be used through social media to analyze and support behaviour for a certain lifestyle. A computational model is provided integrating mechanisms for the impact of one’s emotions on behaviour, and for the impact of emotions of others on one’s own emotion. Th...

The combination of high speed multi-service networks and multimedia workstations offers considerable potential for the development of distributed multimedia applications. However, many challenges remain before this potential can be realised. One key challenge is how to integrate continuous media types such as audio and video into a distributed workstation environment. This paper describes an ex...

This chapter presents the educational value of streaming media combined with asynchronous collaborative learning and describes the particular characteristics and the limitations of the supporting Asynchronous Multimedia Collaborative Systems (AMCL). Then CELSIA, an innovative AMCL system, is described as an example of new trends in AMCL systems that come to address the limitations of the curren...

The quality of interactions among users on social media sites often depends on both the properties intrinsic to the users themselves as well as on the users’ past interactions on the sites. We study the Chatous random chat network, for which interaction quality is measured by the conversation length between users. By accounting for user properties and modeling user interactions as graph propert...

The large increase in the creation and dissemination of data on the Internet can offer information of high value-added to organizations. This information can be provided by heterogeneous databases that may not be considered relevant by most systems, e.g., social media data, blogs and more. If organizations would use such sources, they could build a new management vision known as Competitive Int...

Event extraction is vital to social media monitoring and social event prediction. In this paper, we propose a method for social event extraction from web documents by identifying binary relations between named entities. There have been many studies on relation extraction, but their aims were mostly academic. For practical application, we try to identify 130 relation types that comprise 31 prede...

Billions of people participate in online social activities. Most users participate as readers of discussion boards, searchers of blog posts, or viewers of photos. A fraction of users become contributors of user-generated content by writing consumer product reviews, uploading travel photos, or expressing political opinions. Some users move beyond such individual efforts to become collaborators, ...

Online social networks have attracted millions of users to integrate their daily life into these social media. As an important e-activity, the Friend Recommendation System (FRS) has been designed to help the users exploring new friends with common interests. However, most existing FRS are using simple methods, such as mutual friends, location-based information etc. This paper proposes a hybrid ...

Digital steganalysis techniques attempt to detect hidden information in digital media. The rising interest in steganalysis is attributed to the growing number of steganography algorithms and the threats they represent. This article presents a combined maximum entropy energy approach for audio steganalysis. First, the audio signal is divided into four energy-based regions: noise, low, medium and...