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abstract: Scholars have identified the mass media plays a crucial role in the dissemination of terror messages. Since the attacks of September 11th, 2001, much attention has been paid to terrorism in the global television landscape. More recently, the discourse surrounding acts of terror has changed, in part due to the people behind the attacks. This study seeks to understand how global television news broadcasts frame acts of terror based on two current threats: the individual terrorist (the Lone Wolf) and the organized group (the Islamic State). Using the theoretical framework of Entman’s framing theory and Altheide’s (1987) notion of a global drama, this research identifies the ways global news organizations frame acts of terror both visually and verbally based on the classification of the attacker. Using content analysis methodology, this study analyzed six terror attacks that took place between November, 2015 and December, 2016. Three of these attacks were classified as “Lone Wolves” and three were carried out by the terrorist organization called the Islamic State. This study looked at 562 stories on six global news channels and examined 9,479 images. Through a comparative analysis, three American and three International news channels were examined. It was discovered global news networks contain visual differences in framing, but similarities in verbal framing. Although it was expected to find vast differences in global news’ framing of acts of terror, this study finds a homogenization of the television news narrative following terrorist attacks. This study builds on existing research and suggests a global script for covering acts of terror that has several implications from a theoretical and practical standpoint. Findings indicate global coverage of Islamic State attacks employ and “Us vs. Them” frame, while Lone Wolf attacks are framed as “Us vs. Us”, a new frame presented in this study. The results advance the literature focused on framing theory, comparative journalism research and global television news coverage of terrorism. As terrorism has garnered extensive media attention, understanding the ways that global news frames terrorism has vast implications. / Dissertation/Thesis / Doctoral Dissertation Journalism and Mass Communication 2018

abstract: This is a case study of weathercasters in a large U.S. television market from five different English speaking stations conducted before, during, and after a severe weather season. The research applies the ethnographic process to inscribe and define the culture of local weathercasters in the news environment. The purpose of this study is to examine the extant cultural characteristics discerned by weathercasters and the changes in weather broadcast technology used by live “on-air” television personnel. Forty-nine elite, in depth interviews with 17 different weathercasters along with participant and non-participant observation yielded transcripts and field notes obtained during the six month data acquisition phase. Using qualitative methods and the CAQDAS program Dedoose, 953 coded excerpts from the transcripts were analyzed for various patterns, behaviors, and characteristics relevant to culture, technology, and perceptions of weathercasters. The excerpts revealed dominant cultural aspects defined as dichotomous differences, autonomous functions, and identity perceptions. Socio-technical models are explicated in relationship to control, knowledge, and strategic coping mechanisms. The newsroom and weathercaster co-cultural context is defined by the conformity versus autonomy relationship and the external and internal structure of the weathercaster’s working environment is delineated. Co-cultural models explain the way influence operates in severe weather situations within the newsroom culture. The results have utility for scholars studying technology, culture, newsroom routines, rituals, and professionals who work in the television news industry. The findings are highly relevant for television weathercasters, newsroom producers, and broadcast managers. / Dissertation/Thesis / Doctoral Dissertation Journalism and Mass Communication 2016

Journalism plays an important role in our society. But what happens when a journalist decides to pursue a new profession? The loss of a journalist from a newsroom can have a significant impact, particularly when that journalist takes with them institutional knowledge and a history of the market. This study uses qualitative interviews with 12 former broadcast journalists to investigate what factors cause them to leave the field and what the implications are for the industry. Relying on burnout theory as a framework, this study reveals three key reasons broadcast journalists decided to walk away. First, they faced increasing demands including long or unconventional work hours, a tenuous work-life balance, difficult stories to cover, and doing more with fewer resources. Second, they endured difficult issues with management including unfulfilled promises, the increasing commercialization of news, unrealistic and unethical expectations, the consolidation of the industry, and a lack of appreciation. Third, they felt they were not adequately compensated. This study recommends more support and professional development for broadcast journalists, more cross-training opportunities, and improved financial compensation.

The purpose of this study is to investigate the relationship between religiosity and broadcast news usage. This study examines the level of religiosity of individuals and its correlation to broadcast news exposure. The correlation between religiosity and perceptions of violence on broadcast news was also measured. Two theories were applied in this study. Uses and Gratifications asserts the active character of the audience to choose what they watch, how often, etc., and Selective Exposure defends the ability of the individual to select media that coincides with personal value systems. These two theories complement each other and provide support in the evaluation of religiosity and broadcast news exposure. A survey was posted on-line through various message boards. Twenty-five questions were used to determine religiosity, broadcast news exposure, broadcast news and perceptions of violence on broadcast news. In sum, all hypotheses were supported and the general idea that as religiosity increases broadcast news exposure decreases was confirmed. Nevertheless, due to the small effect size the study also indicates that religiosity does not explain a great percentage of the behavior of an individual towards broadcast news exposure. Therefore, the results of the study indicate that even though religiosity is not a good predictor of broadcast news exposure in general, religiosity affects to a small degree the choices of a more religious individual to expose himself to broadcast news. The perception of violence in broadcast news is also greater in religious than non-religious individuals.

The study determines and evaluates changes in the 10:00 p.m. newscasts of the Dallas-Fort Worth network affiliates following personnel and ownership changes, and a reduction in length of one station's newscast. Scripts and audio recordings of the newscasts were collected during four-week periods before and after the changes. The data were analyzed and supplemented with interviews conducted with the stations' news directors and producers. Conclusions drawn were that ownership changes had more impact on the presentation of the news than on its content, changes in anchormen and producers had more effect on presentation than on content, and a reduction in news time caused changes in the content of a television newscast.

Cette thèse traite de l’identification des locuteurs et des visages dans les journaux télévisés. L’identification est effectuée à partir des noms affichés à l’écran dans les cartouches qui servent couramment à annoncer les locuteurs. Puisque ces cartouches apparaissent parcimonieusement dans la vidéo, obtenir de bonnes performances d’identification demande une bonne qualité du regroupement audiovisuel des personnes. Par regroupement, on entend ici la tâche de détecteret regrouper tous les instants où une personne parle ou apparaît. Cependant les variabilités intra-personnes gênent ce regroupement. Dans la modalité audio, ces variabilités sont causées par la parole superposée et les bruits de fond. Dans la modalité vidéo, elles correspondent essentiellement à des variations de la pose des visages dans les scènes de plateaux avec, en plus, des variations de luminosité (notamment dans le cas des reportages). Dans cette thèse, nous proposons une modélisation du contexte de la vidéo est proposée afin d’optimiser le regroupement pour une meilleure identification. Dans un premier temps, un modèle basé sur les CRF est proposé afin d’effectuer le regroupement audiovisuel des personnes de manière jointe. Dans un second temps, un système d’identification est mis en place, basé sur la combinaison d’un CRF de nommage à l’échelle des classes, et du CRF développé précédemment pour le regroupement. En particulier, des informations de contexte extraites de l’arrière plan des images et des noms extraits des cartouches sont intégrées dans le CRF de regroupement. Ces éléments permettent d’améliorer le regroupement et d’obtenir des gains significatifs en identification dans les scènes de plateaux. / This Phd thesis is about speaker and face identification in broadcast news. The identification is relying on the names automatically extracted from overlaid texts which are used to announce the speakers. Since those names appear sparsely in the video, identification performance depends on the diarization performance i.e. the capacity of detecting and clustering together all the moments when a given person appears or speaks. However, intra-person variability in the video signal make this task difficult. In the audio modality, this variability comes from overlap speech and background noise. For the video, it consists in head pose variations and lighting conditions (especially in report scenes). A context-aware model is proposed to optimize the diarization for a better identification. Firstly, a Conditional Random Field (CRF) model isproposed to perform the diarization jointly over the speech segments and the face tracks. Secondly, an identifcation system is designed. It is based on the combination of a naming CRF at cluster level and the diarization CRF. In particular, context information extracted from the image background and the names extracted from the overlaid texts are integrated in the diarization CRF at segment level. The use of those elements enable us to obtain better performances in diarization and identification, especially in studio scenes.

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The thesis deals with the phenomenon called breaking news in a continuous broadcast of news stations. It consists of theoretical and practical part. The main aim of the theoretical part is to describe the specifics of television news and their transformation caused by the introduction of continuous broadcast. In this context, the technical means used in Czech TV that allow the audience to watch the news live will be described in detail. The main aim of the practical part is to describe the mentioned phenomenon in connection with a specific event - the shootings in Uhersky Brod in February 2015. The main attention of the quantitative research will be focused on the continuous broadcast of CT24 on 24th February 2015 in order to obtain relevant results, which will illustrate the proportion of the information related to the shooting in the CT24 broadcast. The amount of the concrete news reports will be analysed as well. All the gathered results will be then presented in the summary. Powered by TCPDF (www.tcpdf.org)