The Físchlár-News-Stories system: personalised access to an archive of TV news

The “Físchlár” systems are a family of tools for capturing, analysis, indexing, browsing, searching and summarisation of digital video information. Físchlár-News-Stories, described in this paper, is one of those systems, and provides access to a growing archive of broadcast TV news. Físchlár-News-Stories has several notable features including the fact that it automatically records TV news and segments a broadcast news program into stories, eliminating advertisements and credits at the start/end of the broadcast. Físchlár-News-Stories supports access to individual stories via calendar lookup, text search through closed captions, automatically-generated links between related stories, and personalised access using a personalisation and recommender system based on collaborative filtering. Access to individual news stories is supported either by browsing keyframes with synchronised closed captions, or by playback of the recorded video. One strength of the Físchlár-News-Stories system is that it is actually used, in practice, daily, to access news. Several aspects of the Físchlár systems have been published before, bit in this paper we give a summary of the Físchlár-News-Stories system in operation by following a scenario in which it is used and also outlining how the underlying system realises the functions it offers

The effects of pictures on the order of accessing online war stories

Research on how people read news stories has shown that readers chose to read and access news stories associated with pictures that contained an element of attraction. Researchers have found that the emotional elements within the picture could also play a role. It is unclear how neutral human interest pictures influence readers to access news stories. Is the access process influenced by less emotive pictures or more human interest elements? These issues were explored in an experiment in which 24 students participated. The experiment compared similar news that was accompanied with a human interest picture, information graphic and without information graphic. The focus of the news stories was on war news which almost always contained human interest elements that could be neutral or emotion-laden. The experiment suggested that human interest pictures of war stories could be equally effective in attracting readers to read and remember the news stories

Adaptive Representations for Tracking Breaking News on Twitter

Twitter is often the most up-to-date source for finding and tracking breaking news stories. Therefore, there is considerable interest in developing filters for tweet streams in order to track and summarize stories. This is a non-trivial text analytics task as tweets are short, and standard retrieval methods often fail as stories evolve over time. In this paper we examine the effectiveness of adaptive mechanisms for tracking and summarizing breaking news stories. We evaluate the effectiveness of these mechanisms on a number of recent news events for which manually curated timelines are available. Assessments based on ROUGE metrics indicate that an adaptive approaches are best suited for tracking evolving stories on Twitter.Comment: 8 Pag

Summarising News Stories for Children

This paper proposes a system to automatically summarise news articles in a manner suitable for children by deriving and combining statistical ratings for how important, positively oriented and easy to read each sentence is. Our results demonstrate that this approach succeeds in generating summaries that are suitable for children, and that there is further scope for combining this extractive approach with abstractive methods used in text implification

Social Media and Fake News in the 2016 Election

Following the 2016 U.S. presidential election, many have expressed concern about the effects of false stories ("fake news"), circulated largely through social media. We discuss the economics of fake news and present new data on its consumption prior to the election. Drawing on web browsing data, archives of fact-checking websites, and results from a new online sur-vey, we find:(i) social media was an important but not dominant source of election news, with14 percent of Americans calling social media their "most important" source;(ii) of the known false news stories that appeared in the three months before the election, those favoring Trump were shared a total of 30 million times on Facebook, while those favoring Clinton were shared8 million times;(iii) the average American adult saw on the order of one or perhaps several fake news stories in the months around the election, with just over half of those who recalled seeing them believing them; and(iv) people are much more likely to believe stories that favor their preferred candidate, especially if they have ideologically segregated social media networks

(De)constructing health news: an analysis of the lifecycle of elderly-related news stories through multi-­sited, linguistic ethnographic research

‘(De)constructing Health News’ is a transdisciplinary project of the Health, Media & Society research centre (Ghent University), aiming at investigating the processes and stakeholder interaction involved in the (de)construction of elderly-related health news in Belgium. Today, laypeople are overwhelmed with health-related news and information, and they often have difficulties processing it all (Andreassen et al., 2010); meanwhile, the aging of the population drastically changes the demographic landscape and makes health care costs surge. To examine the societal background, processes and impact of these issues, four PhD researchers are working on four work packages, i.e.: (1) Stakeholder analysis; mapping the political-economic and institutional relations between different actors involved, like pharmaceutical companies, health insurance companies, journalists, researchers, doctors, patients, etcetera. (2) Lifecycle analysis of elderly-related health news stories in press releases, newspapers and online weblogs; by taking a multi-sited, linguistic ethnographic perspective, the complex discursive processes and professional routines at work will be examined. (3) Quantitative analysis of the output of the news production, by scrutinizing news sourcing, and conducting a frame and discourse analysis on elderly-related health news content. (4) Qualitative audience research; to gain understanding of uptake, perception, interpretation of elderly-related health news. As a PhD student focusing on the second work package, my research sets out to answer how and why elderly-related health news stories are selected by journalists, how news stories travel back and forth between stakeholders, and to map the lifecycle of news that is initiated by PR-offices. Are these news stories reproduced more or less verbatim by the news media, or do journalists make critical inquiries into the facts they are provided with and recontextualize these (Catenaccio et al., 2011)? The linguistic ethnographic fieldwork will show which of these two scenarios occur most often in journalistic practice, and which factors influence the processes and decisions involved

Semantic user profiling techniques for personalised multimedia recommendation

Due to the explosion of news materials available through broadcast and other channels, there is an increasing need for personalised news video retrieval. In this work, we introduce a semantic-based user modelling technique to capture users’ evolving information needs. Our approach exploits implicit user interaction to capture long-term user interests in a profile. The organised interests are used to retrieve and recommend news stories to the users. In this paper, we exploit the Linked Open Data Cloud to identify similar news stories that match the users’ interest. We evaluate various recommendation parameters by introducing a simulation-based evaluation scheme

The Passive Journalist: How sources dominate the local news

This study explores which sources are “making” local news and whether these sources are simply indicating the type of news that appears, or are shaping newspaper coverage. It provides an empirical record of the extent to which sources are able to dominate news coverage from which future trends in local journalism can be measured. The type and number of sources used in 2979 sampled news stories in four West Yorkshire papers, representing the three main proprietors of local newspapers in the United Kingdom, were recorded for one month and revealed the relatively narrow range of routine sources; 76 per cent of articles cited only a single source. The analysis indicates that journalists are relying less on their readers for news, and that stories of little consequence are being elevated to significant positions, or are filling news pages at the expense of more important stories. Additionally, the reliance on a single source means that alternative views and perspectives relevant to the readership are being overlooked. Journalists are becoming more passive, mere processors of one-sided information or bland copy dictated by sources. These trends indicate poor journalistic standards and may be exacerbating declining local newspaper sales