Employing content analysis, this study compares the coverage of Arab uprisings by <em>People’s Daily</em> (the official newspaper Communist Party China) and <em>Caixin Net</em> (a typical commercial media) with statements from Chinese Foreign Ministry in last decade. It shows that overall attention given to declined during period, but there were shifts framing conflicts,...

Media coverage can affect audiences’ perceptions of immigrants, and play a role in determining the content public policy agendas, formation prejudices, prevalence negative stereotyping. This study investigated way which immigrants are represented Danish media, terms used, what issues related to immigration discussed how they described, whose voices heard. The data consisted media articles publi...

Social media has become an essential tool for institutions to create interactions with their users. Creating successful and relevant material social content is challenging as struggle comprehend what drives user engagement. Using analytics on user-generated determine the relation between post features engagement becomes a method overcoming this challenge. In study, measured based quantitative a...

Our MARIE project has been investigating information retrieval of multimedia data using a new idea: putting primary emphasis on caption processing. Although content analysis methods such as substring searching for text media and shape matching for picture media can obviate captions, content analysis usually requires unacceptably-large amounts of time at retrieval time. Captions can be cachings ...

In this paper, we propose a new regularization approach for Extreme Learning Machine-based Singlehidden Layer Feedforward Neural network training. We show that the proposed regularizer is able to weight the dimensions of the ELM space according to the importance of the network’s hidden layer weights, without imposing additional computational and memory costs in the network learning process. Thi...

Collective opinions observed in Social Media represent valuable information for a range of applications. On the pursuit of such information, current methods require a prior knowledge of each individual opinion to determine the collective one in a post collection. Differently, we assume that collective analysis could be better performed when exploiting overlaps among distinct posts of the collec...

Web 2.0 provides technologies for online collaboration of users as well as the creation, publication and sharing of user-generated contents in an interactive way. Twitter, CNET, CiteSeerX, etc. are examples of Web 2.0 platforms which facilitate users in these activities and are viewed as rich sources of information. In the platforms mentioned as examples, users can participate in discussions, c...

It is widely thought that news organizations exhibit ideological bias, but rigorously quantifying such slant has proven methodologically challenging. Through a combination of machine learning and crowdsourcing techniques, we investigate the selection and framing of political issues in 15 major U.S. news outlets. Starting with 803,146 news stories published over 12 months, we first used supervis...