Multimedia News Research Articles

Role Orientation, Development and Transformation of News Editors in the New Media Era

With the rapid development of modern economy and society and the arrival of the information age, the new media have profoundly influenced the daily lives of people. News editors, as disseminators and advocates of news information, play an important role in the dissemination of news information. In the new media era, the news dissemination of new media relies on the degree of strengthening but also puts forward new development requirements for the development of news editors. This paper is based on the role of news editing and development transformation to analyse and solve the key problems in the current stage of news dissemination. In the new media era for the news editor, the new requirements listed in the new media era for the news editor include role positioning analysis and development transformation measures. The changing role of news editors in the new media era and their need to adapt to digital platforms and audience participation, utilise audience data, and develop multimedia narrative techniques Subvert the traditional communication mode of paper media, gradually adapt to and turn to the development of multimedia news reporting channels, and transform the skills and strategies of journalists to adapt to the progress of this era.

DETERMINING THE STRATEGY FOR RENDERING IDEOLOGICALLY-BOUND UNITS IN SIMULTANEOUS INTERPRETATION OF THE AMERICAN POLITICAL DISCOURSE

An ideologically-bound unit is a reference to a specific ideology that exists in the context of a particular epoch, and can be explored as an intrinsic element of the global vertical context. Undoubtedly, ideologemes represent a certain challenge for simultaneous interpreters who are not always able to adequately perceive the global vertical context of the source utterance and to properly convey the associative and connotative potential of these units. The present study is undertaken to pinpoint the peculiarities of the modern American political discourse, namely the public speeches of Donald Trump and Joe Biden, and their simultaneous interpretation into Russian, carried out by media interpreters of “Voice of America”, an international multimedia news network of the USA. The research is aimed at identifying and comparing interpreting strategies employed to achieve the required level of rendition appropriateness and usability. The findings further reveal that the global vertical context of the source utterance and the communicative pragmatics of the interpreter-mediated event seem to impact the choice of an interpreting strategy that encompasses specific techniques. It is noteworthy that in order to render an ideologically-bound unit and its derivatives, an interpreter is expected to use corresponding equivalents in the target language, which do not distort the speaker’s intentions and voiced position, as well as convey the communicative effect of the source utterance and fit into the recipient’s ideological picture of the world.

FROM DIE WELT WRITERS (2007-2020) ALEVISM AND ALEVIS IN GERMANY

Used to express mass media that provides one-way communication such as television, newspaper, radio and magazine, digital media, which takes the place of traditional media and gives the opportunity to communicate interactively, has become one of the indispensables of humanity. In this context, the Internet news portal of Die Welt, which has a high impact in Germany, started its broadcasting life in 1995. Die Welt, which managed to reach the level of multimedia news centre in a short time, continues its activities by growing day by day and reaching more readers. In our study, based on selected news on the portal, Alevis, Alevism, Islam, religious practices (headscarf, alcohol, prayer, fasting, etc.), integration policies and articles published on Turkey, it was aimed to reach what information is given about Alevism and Alevis in Germany. While doing this, the articles written by A. Posener, F. Schindler, F. Peters, H. Hirsch, K. Eigendorf, Ö. Muzlu, T. Stoldt in Die Welt were used. It has been seen that the authors generally agree on the following points: Alawites accept the prophets and books in Judaism and Christianity as equal revelations, the idea of the principle of equal rights for all people, regardless of men and women, is an indispensable part of their beliefs, and life itself is the focal point of the Alevi belief; it is not important to perform purely religious rites such as going to the mosque, praying five times a day, prohibiting pork and alcohol, fasting or making a pilgrimage to Mecca. Many points have been reached such that Alevis not only preach the culture of tolerance and nonviolence at all times, they live it, therefore they are the natural ally of the West in Turkey, at least 500,000 Alevis live in Germany and they can be in harmony with the German society without any difficulties within the framework of the integration policy, Alawites have been mistreated at all times in Turkey, their existence has been ignored, and even they have been subjected to forced Islamization (Sunnization). In our research, the reality and validity of the issues stated by the authors were examined in the light of scientific data and tried to be understood and explained. Keywords: Alevis, Alevism, Sunni Islam, Alevism in Germany, Alevis and Turkey.

Die Welt -2017- Özelinde Suriyeli Mülteciler Meselesi ve Almanya

The “Arab Spring” process, which flared up in Tunisia at the end of 2010 with the influence of corruption allegations, soon turned into widespread popular uprisings in Arab countries/geography. In this context, during the social movements that started in Syria at the beginning of 2011, the opposition elements started to clash with the Bashar Assad administration, which soon turned into mass murders and civil war. Up to millions of Syrians have become refugees. First of all, neighboring countries, and soon after, European states began to be affected by this situation. This dramatic situation has caused administrative, political, legal, social, economic, financial, etc. issues in the countries, reached or tried to reach by refugees. One of these countries was Germany. The Coalition Government, headed by Angela Merkel, has made many attempts inside and outside to overcome the challenges faced. At this point, especially the developments inside were tried to be determined through the multimedia news center “Welt”.

Supporting Newsrooms with Journalistic Knowledge Graph Platforms: Current State and Future Directions

Increasing competition and loss of revenues force newsrooms to explore new digital solutions. The new solutions employ artificial intelligence and big data techniques such as machine learning and knowledge graphs to manage and support the knowledge work needed in all stages of news production. The result is an emerging type of intelligent information system we have called the Journalistic Knowledge Platform (JKP). In this paper, we analyse for the first time knowledge graph-based JKPs in research and practice. We focus on their current state, challenges, opportunities and future directions. Our analysis is based on 14 platforms reported in research carried out in collaboration with news organisations and industry partners and our experiences with developing knowledge graph-based JKPs along with an industry partner. We found that: (a) the most central contribution of JKPs so far is to automate metadata annotation and monitoring tasks; (b) they also increasingly contribute to improving background information and content analysis, speeding-up newsroom workflows and providing newsworthy insights; (c) future JKPs need better mechanisms to extract information from textual and multimedia news items; (d) JKPs can provide a digitalisation path towards reduced production costs and improved information quality while adapting the current workflows of newsrooms to new forms of journalism and readers’ demands.

The translation of multimedia news stories: Rewriting the digital narrative

This article presents a case study that examines the translation of multimedia news stories, a journalistic narrative that presents news using two or more media formats, such as spoken and written word, moving and still images or graphics, including interactive and hypertextual elements. The research focuses on the news reports of the digital newspaper Theguardian.com which is translated by Eldiario.es, a digital Spanish newspaper. Drawing on a corpus of 30 pairs (of English and Spanish versions), I explore the strategies used by journalists in preparing the multimedia news story for its new audience. The methodology used combines comparative content analysis with a semi-standardised interview with the head of the International section of Eldiario.es. Translated news reports are respectful of the original written content from Theguardian.com but they replace multimedia content with other, different, content. The discursive effects of these substitutions are discussed and the reasons underlying these changes are analysed. The findings suggest that substitution of hypermedia content facilitates intercultural circulation of the multimedia journalistic narrative, but the modification of these contents on the part of the target medium produces its own range of effects.

Technology-enhanced learning in designing for uncertainty

In this talk, we discuss the affordances of digital technologies to facilitate student-determined learning when delivering practical or ‘hands-on’ courses. We also examine the constraints that affect the learner experience when courses designed for face-to-face classes suddenly move online.
 We use a case study of how a practical multimedia undergraduate journalism paper was moved from face-to-face to online delivery mid-way through the semester after an outbreak of Covid-19 in New Zealand led to a sudden imposition of a level-4 lockdown in 2021.
 The case study demonstrates how the delivery of courses designed within a heutagogical frame work can successfully be adapted at a time of crisis while maintaining the learning outcomes required. Our experience provides empirical discussion points on teaching a practiced-based activity such as journalism, where restricted mobility can in fact lead to student-initiated opportunities for growth rather than being a hindrance. 
 Our approach from the start of the academic year was to develop our students’ digital capabilities and guide them towards being agents of their own learning (Hase & Kenyon, 2007; Blaschke & Hase, 2019). We were aware that the situation with the Covid-19 outbreak was evolving in New Zealand, and government instructions could require our university to move courses online at short notice. Therefore, this case study should not be considered as a pure example of “emergency remote teaching” (Hodges et al. 2020).
 The design took a social constructivist approach (Lockey, Conaghan, Bland & Astin, 2020; Vygotsky, 1930-34/1978) that included experiential learning and reflection to increase students’ independence and preparedness. It then built on this using connectivism principles (Siemens, 2004) to link the individual to the class, including employing collaborative peer learning.
 Our planning took account of less successful attempts to engage students online (Cowie & Sakui, 2019) as well as the lessons we learned during the lockdown in 2020. We considered student engagement, student access to the required technologies and their level of digital competence would be our greatest challenges (Greenhow & Lewin, 2021).
 Learning strategies we employed included mirroring the culture and emerging practices professional journalists were applying under Covid-19 lockdown. Strategies were developed in an online classroom environment that fostered expert-like thinking that enabled student-determined activities, founded upon small group collaborations and play-based learning. We encouraged a high level of flexibility in our student-lecturer interactions, and regular discussions around wellness evolved organically. We found students sought increased opportunities to engage with others, as many students were away from home and without a social support system.
 
 When designing the course, we conceptualised our role as “designers of learning experiences” (Cochrane & Munn, 2020, p. 2). Hence we modelled emerging journalistic practices through the increased application of social media technologies, and embedded critical analysis via peer review in a way that achieved a higher level of engagement among the students than had been experienced in previous journalism papers. Practical outcomes included the production of weekly multimedia news bulletins \modelling broadcasting industry newscasts that were published on a purpose-built website, and student e-portfolios supported by multimedia exegeses.

AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection

Fake news is the information or stories that are intentionally created to deceive or mislead the readers. In recent times, Fake news detection has attracted the attention of researchers and practitioners due to its many-fold benefits, including bringing in preventive measures to tackle the dissemination of misinformation that could otherwise disturb the social fabrics. Social media in recent times are heavily loaded with multimedia news and information. People prefer online news reading and find it more informative and convenient if they have access to multimedia content in the forms of text, images, audio, and videos. In early studies, researchers have proposed several fake news detection mechanisms that mostly utilize the textual features and not proper to learn multimodal (textual + visual) shared representation.To overcome these limitations, in this paper, we propose a multimodal fake news detection framework with appropriate multimodal feature fusion that leverages information from text and image and tries to maximize the correlation between them to get the efficient multimodal shared representation. We empirically show that text, when combined with the image, can improve the performance of the model. The model detects the post once it is introduced into the network in an early stage. At the early stage of a news post’s introduction into the network, the model takes the text and image of the post as input and decides whether this is fake or genuine. Since this model only analyzes news contents, It does not require any prior information regarding the user and network details. This framework has four different sub-modules viz.Attention Based Stacked Bidirectional Long Short Term Memory (ABS-BiLSTM) for textual feature representation, Attention Based Multilevel Convolutional Neural Network–Recurrent Neural Network (ABM-CNN–RNN) for visual feature extraction, multimodal Factorized Bilinear Pooling (MFB) for feature fusion and finally Multi-Layer Perceptron (MLP) for the classification. We perform experiments on two publicly available datasets, viz. Twitter and Weibo. Evaluation results show the efficacy of our proposed approach that performs significantly better compared to the state-of-the-art models. It shows to outperform the current state-of-the-art by approximately 10 points for the Twitter dataset. In contrast, the Weibo dataset achieves an overall better performance with balanced F1-scores between fake and real classes. Furthermore, the complexity of our proposed model is significantly lower than the state-of-the-art.

Towards two decades of journalistic translation research (2000-2019): a corpus-based bibliometric study of the Translation Studies Bibliography

This paper provides a bibliometric analysis of journalistic translation research (JTR) from the past two decades. It is based on a corpus of 396 entries on journalistic translation and interpreting from the Translation Studies Bibliography (TSB) between 2000 and 2019. This study first consists of a bibliometric analysis of these entries from the aspects of author/editor, year, language, type, journal and publisher. It then explores prominent research topics and areas of focus based both on keywords provided by annotated entries in the TSB and on keywords and high-frequency nouns extracted from the abstracts as a result of corpus analysis. The study elaborates on various methodological approaches to studying journalistic translation according to the keywords provided in the entries of the TSB. The study found that: (1) most of the JTR was published by prestigious journals and publishers in English around 2010; (2) multimedia news about socio-cultural issues, published on various platforms, attracted the most attention from scholars; and (3) socio-cultural approaches have been the most prominent type of approach to journalistic translation over the past two decades. JTR research trends are also predicated according to the current development of the field.

Toward a Theorization of Student Journalism Collaboration in International Curricula

Adopting an international approach to journalism pedagogy, this study reports on the findings of a Global Journalism Collaboration Project involving 267 undergraduate and postgraduate students from Germany, Italy, Kenya, Uganda, Romania, Colombia, and Australia. Over 6 weeks in 2019, students collaborated to produce multimedia news stories on current issues. Using student survey results and written evaluation assessments, we report on the benefits and challenges of international student journalism collaboration. The most significant challenge was differential access to information communication technologies (ICTs) among African partner countries and, using empirical data, we offer a set of “guardrails” for future international student journalism collaboration projects.

Smart Digital Mirror

Each day, human life becomes simpler and more time efficient. This research article discusses the smart digital mirror, which contributes to a more time-efficient life. The smart digital mirror is the extension of the simple mirror. Features of the simple mirror are enhanced with the help of new emerging technologies. Smart digital mirrors provide information such as time, date, day, weather forecast, reminders for important daily tasks, multimedia news, updates on the user’s health status, and recognition of the user’s emotion. The smart digital mirror is based on some artificial features such as recongnisation, analysis, learning, etc. It works on real-time systems. Raspberry Pi is a micro-controlar and a key part of the smart digital mirror. Essentially, the smart digital mirror recognizes the user based on image processing, and it uses its knowledge of the user to provide personal services. This can give the user enhanced comfort as it helps them feel prepared for their day and presents information and recommendations based on their preferences.. Various algorithms are used for the implementation of the smart digital mirror’s face emotion recognition. In the present study, we reviewed the previous smart mirror system along with various computations using Raspberry Pi.

Visualizing narrative patterns in online news media

News media play an important role in shaping social reality, and their multimedia narrative content, in particular, can have widespread repercussions in the public’s perception of past and present phenomena. Being able to visually track changes in media coverage over time could offer the potential for aiding social change, as well as furthering accountability in journalism. In this paper, we explore how visualizations could be used to examine differences in online media narrative patterns over time and across publications. While there are existing means of visualizing such narrative patterns over time, few address the aspect of co-occurrence of variables in media content. Comparing co-occurrences of variables chronologically can be more useful in identifying patterns and possible biases in media coverage than simply counting the individual occurrences of those variables independently. Here, we present a visualization, called time-sets, which has been designed to support temporal comparisons of such co-occurrences. We also describe an interactive prototype tool we have developed based on time-sets for analysis of multimedia news datasets, using an illustrative case study of news articles published on three online sources over several years. We then report on a user study we have conducted to evaluate the time-sets visualization, and discuss its findings.

Multimedia news storytelling: Semiotic-narratological foundations

Research about multimedia news storytelling contains several empirical studies, but these lack a theoretical foundation. This article proposes a transdisciplinary foundation of multimedia news storytelling, based on semiotics and narratology. First, the bases of multimedia news storytelling are explained using a hypothetical-deductive methodology and the semiotic categories of ideation-composition-reception. Second, based on narratology, the multimedia storytelling process is described, starting from the pre-compositive stage, in which journalists assemble the stories, to the final stage of navigation by the participatory users. The combination of both theoretical foundations allows us to explain the nature of multimedia news storytelling, based on three elements: 1) syntactic coherence between the multiple languages used, 2)open and collective authorship, and 3) participatory reception by the audience.

Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video

Automatic text summarization is a fundamental natural language processing (NLP) application that aims to condense a source text into a shorter version. The rapid increase in multimedia data transmission over the Internet necessitates multi-modal summarization (MMS) from asynchronous collections of text, image, audio, and video. In this work, we propose an extractive MMS method that unites the techniques of NLP, speech processing, and computer vision to explore the rich information contained in multi-modal data and to improve the quality of multimedia news summarization. The key idea is to bridge the semantic gaps between multi-modal content. Audio and visual are main modalities in the video. For audio information, we design an approach to selectively use its transcription and to infer the salience of the transcription with audio signals. For visual information, we learn the joint representations of text and images using a neural network. Then, we capture the coverage of the generated summary for important visual information through text-image matching or multi-modal topic modeling. Finally, all the multi-modal aspects are considered to generate a textual summary by maximizing the salience, non-redundancy, readability, and coverage through the budgeted optimization of submodular functions. We further introduce a publicly available MMS corpus in English and Chinese.1 The experimental results obtained on our dataset demonstrate that our methods based on image matching and image topic framework outperform other competitive baseline methods.

Should There Be an App for That? An Analysis of Interactive Applications within Longform News Stories

The most-read story of 2014 on the website of The New York Times was an interactive news application called “How Y’all, Youse and You Guys Talk.” Interactive applications may provide value to the user experience of digital media, but they cost time and money to produce. In this study, we examined five multimedia news packages that include interactive applications as part of the story presentation and asked 18 millennial tablet computer users to evaluate them. Participants said the interactive applications that were most effective in attracting and retaining their interest maintained the flow of the narrative, provided a personalized or playful alternative to the representation of information in other media, and were produced by credible media organizations that designed their apps for use on mobile devices.

The Drama of Dengue Fever: Civic-Oriented Journalists, Community and Artists Fighting Dengue

This paper describes a transdisciplinary approach that takes places in South of Brazil with the aim to contribute with an eco-bio-social problem: dengue fever. Inspired by enactive theories about relation between body x environment, the authors present here a nontraditional multifaceted bottom-up intervention, designed by civic-oriented journalists and artists to promote health and mobilize a small community in Maringá. The intention is to promote healthier behavior in a participatory perspective when citizens can produce and share their narratives. The content was used as creative material to produce multimedia news, sketch and prototype mobile apps with the support of community.

Multimedia news QA: Extraction and visualization integration with multiple-source information

Recent years have witnessed the explosion of multimedia news and currently we are living in a sea of multimedia news. Faced with so huge quantities of multimedia news from all corners of the world, people are often confused and feeling overwhelmed because it takes much time and effort for them to access their desired news. As a consequence, multimedia question answering (QA) with the goal of providing precise answers to the query questions has attracted increasing attention in recent years. Towards this end, this work proposes solutions for multimedia news QA to provide an effective news information browsing experience by integrating multimedia information from multiple sources. Specifically, we first collect a large-scale multimedia news data set for question answering. And then topic analysis is used to present concise and reliable answers including textual and visual information. Experiments on the news dataset collected from multiple news websites demonstrate the encouraging performance of the proposed solutions.

Intermedia agenda-setting in a multimedia news environment

This article analyzes intermedia agenda-setting processes during a national election campaign of 38 newspapers, online news sites, TV news programs, as well as a wire service, through semi-automatic content analysis and time series analysis. The theoretical assumption was that intermedia agenda-setting is determined by the production structures of certain media types, the opinion-leader role of specific media outlets, and issue-specific characteristics. The findings suggest that, despite previous evidence to the contrary, intermedia agenda-setting also occurs during election campaigns, with a short time lag of 1 day. Additionally, a medium’s opinion-leader role depends strongly on issue-specific characteristics, such as obtrusiveness and proximity, mediating the intermedia agenda-setting process. And the traditional role of print media as intermedia agenda-setters is found to be challenged by online news sites.

Multimedia news storytelling as digital literacies: An alternative paradigm for online journalism education

This article analyzes a journalism student’s multimedia news storytelling project in the format of audio slideshows as required by an introductory course on online journalism. Combining classroom ethnography, semi-structured interviews, content and textual analysis, the study focuses in detail on how the student designs a character-driven, audio-visual story through the theoretical lens of digital literacies and multimodality. The findings reveal the complexity of multimodal and generic design made by the journalism student. It is also found that the design process helps her to assert an authorial stance as an emergent online journalist who negotiates heterogeneity of journalistic professional Discourses. This article proposes a genre-aware, semiotic-aware, critical framework informed by digital literacy studies and embeds a case study in the theoretical framework in order to understand the ‘literacies’ as required and performed in multimedia news storytelling. Theoretical and pedagogical implications are also discussed at the end of the article.

Multimedia News Summarization in Search

It is a necessary but challenging task to relieve users from the proliferative news information and allow them to quickly and comprehensively master the information of the whats and hows that are happening in the world every day. In this article, we develop a novel approach of multimedia news summarization for searching results on the Internet, which uncovers the underlying topics among query-related news information and threads the news events within each topic to generate a query-related brief overview. First, the hierarchical latent Dirichlet allocation (hLDA) model is introduced to discover the hierarchical topic structure from query-related news documents, and a new approach based on the weighted aggregation and max pooling is proposed to identify one representative news article for each topic. One representative image is also selected to visualize each topic as a complement to the text information. Given the representative documents selected for each topic, a time-bias maximum spanning tree (MST) algorithm is proposed to thread them into a coherent and compact summary of their parent topic. Finally, we design a friendly interface to present users with the hierarchical summarization of their required news information. Extensive experiments conducted on a large-scale news dataset collected from multiple news Web sites demonstrate the encouraging performance of the proposed solution for news summarization in news retrieval.