In this paper, we have developed a novel scheme to achieve more effective analysis, retrieval and exploration of large-scale news video collections by performing multi-modal video content analysis and synchronization. First, automatic keyword extraction is performed on news closed captions and audio channels to detect the most interesting news topics (i.e., keywords for news topic interpretatio...

We have developed a news portal site called Fair News Reader (FNR) that recommends news articles with different sentiments for a user in each of the topics in which the user is interested. FNR can detect various sentiments of news articles, and determine the sentimetal preferences of a user based on the sentiments of previously read articles by the user. While there are many news portal sites o...

Indirectresponsetotheriseinfakenewsasasocio-culturalandpoliticalphenomenon,thisarticle presentsananalysisofthefactorsthatmayhelptoexplainthereceptionoffakenews.Inaddition, recentpronouncementsmadebytheTrumpWhiteHouseseemtochallengethenatureofanobjective truth.Animmersivenarratologyemphasizesthatdifferentuniversesofdiscoursecanintermi...

Good news is more persuasive when it is more consistent, and bad news is less damaging when it is less consistent. We show when Bayesian updating supports this intuition so that a biased sender prefers more or less variance in the news depending on whether the mean of the news exceeds expectations, and we apply the result to selective news distortion by a manager of multiple projects. If news f...

It is often problematic for employees in large companies to keep up to date with what is going on within the organisation. Lately, corporate intranets has been introduced as a channel for organisational communication. An intranet enables easy access to, e.g., ongoing project information, technical documentation, organisational newsletters and policies. However, even with an intranet it is still...

The on-going information explosion affects in particular the business domain, in relation to corporate strategy and business decisions. This paper describes work, which addresses the problem of information overload in the business domain. We present the architecture of a system, which provides decision support based on information extracted and aggregated from text-based on-line sources, such a...

Policy makers and the general public have paid much less attention to what happens inside classrooms — the particulars of teaching and learning — especially in low-income neighborhoods. The news here has been discouraging for quite some time, but, in a painfully ironic twist, things seem to be getting worse as a direct result of the “reform” strategies pursued by the Bush administration, then i...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...