Multimedia search without visual analysis: the value of linguistic and contextual information

This paper addresses the focus of this special issue by analyzing the potential contribution of linguistic content and other non-image aspects to the processing of audiovisual data. It summarizes the various ways in which linguistic content analysis contributes to enhancing the semantic annotation of multimedia content, and, as a consequence, to improving the effectiveness of conceptual media access tools. A number of techniques are presented, including the time-alignment of textual resources, audio and speech processing, content reduction and reasoning tools, and the exploitation of surface features

Exploring Communicative AI: Reflections from a Swedish Newsroom

This article contributes to the emerging field of research on computational journalism with a practical illustration of an attempt to utilize Machine Learning to generate Search Engine Optimized headlines in a major Swedish newsroom. By using its technical results as a springboard for reflections among internal stakeholders, the experiment serves as a catalyzing innovation revealing deliberations on computational approaches in journalism in general and communicative Artificial Intelligence (AI) in specific. The study concludes with three ideas to support decision makers involved in evaluating potential use cases for communicative AI in journalism

digitalnewspapers.org: The Digital Newspapers Program at the University of Utah

Journal ArticleThis article describes the Utah Digital Newspapers Program at the University of Utah's Marriott Library. Background information regarding the historical importance of newspapers, the current state of commercial newspaper digitization and the problems with small newspaper digitization are reviewed, and the solution provided by the University of Utah is offered. Details are provided for the program's history, funding, goals, and future plans. Other topics covered include the trade-offs between microfilm and hard copy source materials, how titles were selected, the processes and technologies utilized, website organization, displaying PDF files with Macintosh computers, and using bi-tonal or grayscale images

Social media: a guide for researchers

This guide has been produced by the International Centre for Guidance Studies, and aims to provide the information needed to make an informed decision about using social media and select from the vast range of tools that are available. One of the most important things that researchers do is to find, use and disseminate information, and social media offers a range of tools which can facilitate this. The guide discusses the use of social media for research and academic purposes and will not be examining the many other uses that social media is put to across society. Social media can change the way in which you undertake research, and can also open up new forms of communication and dissemination. It has the power to enable researchers to engage in a wide range of dissemination in a highly efficient way.Research Information Networ

Fake news: a technological approach to proving the origins of content, using blockchains

In this paper, we introduce a prototype of an innovative technology for proving the origins of captured digital media. In an era of fake news, when someone shows us a video or picture of some event, how can we trust its authenticity? It seems the public no longer believe that traditional media is a reliable reference of fact, perhaps due, in part, to the onset of many diverse sources of conflicting information, via social media. Indeed, the issue of ‘fake’ reached a crescendo during the 2016 US Presidential Election, when the winner, Donald Trump, claimed that the New York Times was trying to discredit him by pushing disinformation. Current research into overcoming the problem of fake news does not focus on establishing the ownership of media resources used in such stories - the blockchain-based application introduced in this article is technology that is capable of indicating the authenticity of digital media. Put simply; by using the trust mechanisms of blockchain technology, the tool can show, beyond doubt, the provenance of any source of digital media, including images used out of context in attempts to mislead. Although the application is an early prototype and its capability to find fake resources is Peer Review Only/Not for Distributionsomewhat limited, we outline future improvements that would overcome such limitations. Furthermore, we believe our application (and its use of blockchain technology and standardised metadata), introduces a novel approach to overcoming falsities in news reporting and the provenance of media resources used therein. However, while our application has the potential to be able to verify the originality of media resources, we believe technology is only capable of providing a partial solution to fake news. That is because it is incapable of proving the authenticity of a news story as a whole. We believe that takes human skills