News blogs and citizen journalism : new directions for e-journalism

Even for a casual observer of the journalistic industry it is becoming difficult to escape the conclusion that journalism is entering a time of crisis. At the same time that revenues and readerships for traditional publications from newspapers to broadcast news are declining, journalistic content is being overtaken by a flotilla of alternative options ranging from the news satire of The Daily Show in the United States to the citizen journalism of South Korea’s OhmyNews and a myriad of other news blogs and citizen journalism Websites. Worse still, such new competitors with the products of the journalism industry frequently take professional journalists themselves to task where their standards have appeared to have slipped, and are beginning to match the news industry’s incumbents in terms of insight and informational value: recent studies have shown, for example, that avid Daily Show viewers are as if not better informed about the U.S. political process as those who continue to follow mainstream print or television news (see e.g. Fox et al., 2007). The show’s host Jon Stewart – who has consistently maintained his self-description as a comedian, not a journalist – even took the fight directly to the mainstream with his appearance on CNN’s belligerent talk show Crossfire, repeatedly making the point that the show’s polarised and polarising ‘left vs. right’ format was “hurting” politics in America (the show disappeared from CNN’s line-up a few months after Stewart’s appearance; Stewart, 2004). Similarly, news bloggers and citizen journalists have shown persistence and determination both in uncovering political and other scandals, and in highlighting the shortcomings of professional journalism as it investigates and reports on such scandals.

Digital broadcasting : a double edge sword in protecting children from disturbing news content

New technologies have the potential to both expose children to and protect them from television news footage likely to disturb or frighten. The advent of cheap, portable and widely available digital technology has vastly increased the possibility of violent news events being captured and potentially broadcast. This material has the potential to be particularly disturbing and harmful to young children. But on the flipside, available digital technology could be used to build in protection for young viewers especially when it comes to preserving scheduled television programming and guarding against violent content being broadcast during live crosses from known trouble spots. Based on interviews with news directors, parents and a review of published material two recommendations are put forward: 1. Digital television technology should be employed to prevent news events "overtaking" scheduled children's programming and to protect safe harbours placed in the classifications zones to protect children. 2. Broadcasters should regain control of the images that go to air during "live" feeds from obviously volatile situations by building in short delays in G classification zones.

Managing the online news revolution : the UK experience

Newspapers and, if to a lesser extent as yet, linear broadcast news providers on TV and radio are in the process of being replaced as the dominant carrier media of journalism by an emerging network of online outlets.

Mapping futures for news: Trends, opportunities and challenges for Scotland

The Mapping Futures of News research and seminar programme, sponsored by the Institute for Advanced Studies in 2009-10, addressed those questions, as well as the many more immediate issues facing the Scottish news industry, such as how to survive the current period of often traumatic transition. This document summarises that work, and identifies: Mapping Futures for News: Programme Report iii • Where the main Scottish print and broadcast news media are in 2010, in terms of circulation and ratings figures; • the key trends currently impacting on Scottish news media; • the responses up to now of government and regulators to assist the Scottish media through the present problems; • the responses of the news media themselves.

NewsLink Indiana : a learning laboratory for the news industry

The broadcast news industry has many questions about convergence and how best to operate in a world of rapidly changing digital technology. Some of the key issues the industry ponders are how to innovate in a climate of increased competition, how best to structure a converged media operation and how to produce quality journalism yet keep costs under control. This paper tracks the introduction of a "learning laboratory" at Ball State University in Indiana designed to answer these and other questions. The paper outlines the theories and concepts behind the development of a converged newsroom staffed by professionals and students in an immersion education program. It uses qualitative methods initially because these are most appropriate for the project at this stage of its development.

Incorporating domain knowledge with video and voice data analysis in news broadcasts

This paper addresses the area of video annotation, indexing and retrieval, and shows how a set of tools can be employed, along with domain knowledge, to detect narrative structure in broadcast news. The initial structure is detected using low-level audio visual processing in conjunction with domain knowledge. Higher level processing may then utilize the initial structure detected to direct processing to improve and extend the initial classification.

The structure detected breaks a news broadcast into segments, each of which contains a single topic of discussion. Further the segments are labeled as a) anchor person or reporter, b) footage with a voice over or c) sound bite. This labeling may be used to provide a summary, for example by presenting a thumbnail for each reporter present in a section of the video. The inclusion of domain knowledge in computation allows more directed application of high level processing, giving much greater efficiency of effort expended. This allows valid deductions to be made about structure and semantics of the contents of a news video stream, as demonstrated by our experiments on CNN news broadcasts.

Speaker diarization : "who spoke when"

Speaker diarization is the process of annotating an input audio with information that attributes temporal regions of the audio signal to their respective sources, which may include both speech and non-speech events. For speech regions, the diarization system also specifies the locations of speaker boundaries and assign relative speaker labels to each homogeneous segment of speech. In short, speaker diarization systems effectively answer the question of ‘who spoke when’. There are several important applications for speaker diarization technology, such as facilitating speaker indexing systems to allow users to directly access the relevant segments of interest within a given audio, and assisting with other downstream processes such as summarizing and parsing. When combined with automatic speech recognition (ASR) systems, the metadata extracted from a speaker diarization system can provide complementary information for ASR transcripts including the location of speaker turns and relative speaker segment labels, making the transcripts more readable. Speaker diarization output can also be used to localize the instances of specific speakers to pool data for model adaptation, which in turn boosts transcription accuracies. Speaker diarization therefore plays an important role as a preliminary step in automatic transcription of audio data. The aim of this work is to improve the usefulness and practicality of speaker diarization technology, through the reduction of diarization error rates. In particular, this research is focused on the segmentation and clustering stages within a diarization system. Although particular emphasis is placed on the broadcast news audio domain and systems developed throughout this work are also trained and tested on broadcast news data, the techniques proposed in this dissertation are also applicable to other domains including telephone conversations and meetings audio. Three main research themes were pursued: heuristic rules for speaker segmentation, modelling uncertainty in speaker model estimates, and modelling uncertainty in eigenvoice speaker modelling. The use of heuristic approaches for the speaker segmentation task was first investigated, with emphasis placed on minimizing missed boundary detections. A set of heuristic rules was proposed, to govern the detection and heuristic selection of candidate speaker segment boundaries. A second pass, using the same heuristic algorithm with a smaller window, was also proposed with the aim of improving detection of boundaries around short speaker segments. Compared to single threshold based methods, the proposed heuristic approach was shown to provide improved segmentation performance, leading to a reduction in the overall diarization error rate. Methods to model the uncertainty in speaker model estimates were developed, to address the difficulties associated with making segmentation and clustering decisions with limited data in the speaker segments. The Bayes factor, derived specifically for multivariate Gaussian speaker modelling, was introduced to account for the uncertainty of the speaker model estimates. The use of the Bayes factor also enabled the incorporation of prior information regarding the audio to aid segmentation and clustering decisions. The idea of modelling uncertainty in speaker model estimates was also extended to the eigenvoice speaker modelling framework for the speaker clustering task. Building on the application of Bayesian approaches to the speaker diarization problem, the proposed approach takes into account the uncertainty associated with the explicit estimation of the speaker factors. The proposed decision criteria, based on Bayesian theory, was shown to generally outperform their non- Bayesian counterparts.

Australia and the Scottish independence referendum

This essay examines how, given the close historical and cul-tural ties which exist between Australia and the United Kingdom (including Scotland), the Scottish independence referendum was reported, analysed and made sense of in the Australian media. The analysis is based on mainstream news coverage (online and print media) produced in Australia and accessed from the internet between January 2012 and the end of September 2014 (two weeks after the referendum on September 18). A total of 95 items were included in the sample, which does not include broadcast news coverage or specialist current affairs periodicals. The online sites of broadcasters such as the ABC and SBS were included in the sam-ple. The great majority of these items were published in the run-up to polling day, in August and September 2014, with spikes in the frequency of item around particular events such as the Commonwealth Games in Glasgow. to the fore will be relevant for years to come.

Improving speech transcription for Mandarin-english translation

This paper describes the development of the CU-HTK Mandarin Speech-To-Text (STT) system and assesses its performance as part of a transcription-translation pipeline which converts broadcast Mandarin audio into English text. Recent improvements to the STT system are described and these give Character Error Rate (CER) gains of 14.3% absolute for a Broadcast Conversation (BC) task and 5.1% absolute for a Broadcast News (BN) task. The output of these STT systems is then post-processed, so that it consists of sentence-like segments, and translated into English text using a Statistical Machine Translation (SMT) system. The performance of the transcription-translation pipeline is evaluated using the Translation Edit Rate (TER) and BLEU metrics. It is shown that improving both the STT system and the post-STT segmentations can lower the TER scores by up to 5.3% absolute and increase the BLEU scores by up to 2.7% absolute. © 2007 IEEE.

Morphological decomposition in Arabic ASR systems

In recent years, the use of morphological decomposition strategies for Arabic Automatic Speech Recognition (ASR) has become increasingly popular. Systems trained on morphologically decomposed data are often used in combination with standard word-based approaches, and they have been found to yield consistent performance improvements. The present article contributes to this ongoing research endeavour by exploring the use of the 'Morphological Analysis and Disambiguation for Arabic' (MADA) tools for this purpose. System integration issues concerning language modelling and dictionary construction, as well as the estimation of pronunciation probabilities, are discussed. In particular, a novel solution for morpheme-to-word conversion is presented which makes use of an N-gram Statistical Machine Translation (SMT) approach. System performance is investigated within a multi-pass adaptation/combination framework. All the systems described in this paper are evaluated on an Arabic large vocabulary speech recognition task which includes both Broadcast News and Broadcast Conversation test data. It is shown that the use of MADA-based systems, in combination with word-based systems, can reduce the Word Error Rates by up to 8.1 relative. © 2012 Elsevier Ltd. All rights reserved.

Twitter en Colombia: ¿Cómo lo están usando las cadenas radiales para informar?

En Colombia los medios de comunicación, más específicamente las cadenas radiales nacionales más importantes, no se han quedado atrás y han optado por unirse desde hace unos años a twitter, incursionando sobre la marcha. Las cuentas de twitter de Bluradio, Caracol Radio y RCN Radio analizadas junto a las entrevistas con los encargados de las mismas y las emisiones de los programas de noticias escogidos, muestran que las redes sociales siguen siendo un desafío en la actualidad. Uno de esos desafíos es encontrar el verdadero objetivo de los medios en twitter y que este no sólo consista en la escucha activa en busca de las noticias de último momento. Para alcanzar una legitimidad comunicativa en la web 2.0 es necesario adaptarse a la cultura de la participación de las redes, de lo contrario se está condenado a obtener tan solo un nuevo canal de difusión de noticias.

Connected but not online: a snapshot of generation Y in Australia

Much has been written in the United States about Generation Y and it adoption of, and attitudes towards, media and digital communication technologies.  But relatively little is known about this generation's attitudes to these things in Australia.  This paper provides a snapshot of media and technology use by year 2 and 3 public relations and journalism majors at Deakin University in Australia.  It is based on a survey conducted in March 2006 at the university's Waurn Ponds campus in Victoria.  Because of the nature of the sample, it should be noted that this is a snapshot of one group of students.  It is not possible to extrapolate these findings to other groups in other states or countries around the world.  That is the role of further research.  This survey does provide a revealing snapshot of one group of students at one place in time.  All of the students studied have a mobile phone and all have fast access to the Internet at university.  Almost all have access to the Internet at home (two thirds via broadband).  But they spend far less time on the Internet compared with their counterparts in the United States.  Almost all are avid consumers of broadcast news.  They prefer the print forms of books and magazines.  Yet they appear to be indifferent to the form of the newspaper they consume - print or online are equally acceptable.