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(searched for: doi:10.1080/17512786.2018.1463167)
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Liz Hannaford
Published: 13 June 2022
Journal: Journalism
Abstract:
Becoming a data literate, technologically competent journalist is represented as a desirable goal that will benefit the individual, the industry and society as a whole. Data journalism skills are increasingly being taught in journalism programmes around the world. This article applies Foucault’s distinctive conceptualisation of discourse to critically examine data journalism as constructed in the ‘talk’ of its most visible pioneers. The analysis is driven by three distinctive aspects of Foucault’s theory of discourse – power, knowledge and materiality. Using these tools, I investigate how data journalism knowledge is produced, the practices that reinforce it and the strategic power relations it conceals. I argue that data journalism draws on four discourses – journalism, technology, enterprise and citizenship – and wraps itself in the power relations embedded in these prestigious discourses. I argue that there is a political imperative for journalism educators to examine these power relations because material injustices along race, gender, class lines are built into them and have consequences for our students and society.
Emine Arduç Kara
Published: 15 May 2022
Erciyes İletişim Dergisi, Volume 9, pp 887-910; https://doi.org/10.17680/erciyesiletisim.1080612

Abstract:
Developments in information and communication technologies necessitate the renewal of academic education practices and theories in journalism education. For this reason, it is not enough for journalism in the 21st century to consist of people with sociological thinking power, professional ethics and a strong theoretical background. In addition to all these qualities, journalism needs digital literate people who can understand the language of the age, meet their needs, and know technical knowledge and programs. In this study, it is aimed to determine whether journalism undergraduate curricula in Turkey are adapted to digitalization. A total of 39 universities, 33 of which are state and 6 of which are foundations, with undergraduate programs named ‘journalism’ and ‘press and broadcasting’ in Turkey through Yök Atlas were included in the research. Courses were scanned by document analysis on the Course Information Packages of the universities. It has been concluded that the curricula of universities have adapted to digitalization, especially in the field of new media, but that adequate digitalization has not been achieved in data journalism, artificial intelligence/robot journalism.
Published: 25 March 2022
Journal: Soft Computing
Soft Computing, Volume 26, pp 10677-10685; https://doi.org/10.1007/s00500-022-06819-0

Abstract:
In big data era, data has become an important part of human lives and work. At the same time, data plays an important role in information acquisition and dissemination. At present, the influence of data journalism is gradually increasing. However, unlike other countries, China data journalism started late. To study the problems of data journalism and the trend of future development, we use the method of combining data and news to explore the status quo and dig out the existing problems. This article first summarizes the research status, research methods, and theoretical basis of data journalism's propagation path. Next, it uses Lasswell's 5W model: a new model to analyze data news from five aspects, namely, disseminator, disseminating channel, dissemination content, audience, and dissemination effect. Finally, based on content analysis, searching, and data mining, an indicator system is constructed for the current new media’s news dissemination effect evaluation, and the Delphi method is used to assign weights to various indicators and make decisions based on them. By analyzing the results, this paper identify the problems in the process of combining data journalism and new media platforms, and provide help for the future communication strategy of data journalism.
Published: 1 March 2022
Journalism Practice pp 1-22; https://doi.org/10.1080/17512786.2022.2044888

Abstract:
Data Journalism has attracted considerable academic attention as an innovative journalism practice in the recent past. It has resulted in a steady increase in academic research on data journalism. A subset of these studies deals with imparting training in data journalism. This study attempts to systematically review the peer-reviewed academic literature on data journalism training in order to ascertain the present status of academic research on the subject. By examining the studies, it brings together insights about the prevalent methods used in data journalism training, the challenges faced by the instructors, the recommended best practices and the students’ perception about data journalism training. The study finds that accommodating a new programme in the existing tight schedule of journalism curricula, alleviating the math-fear in students and adequately addressing the interdisciplinary nature of the practice through consistent up-skilling are some of the challenges faced by data journalism educators. It also finds that the academic literature on data journalism training is less concerned about imparting ethical awareness related to the practice.
Published: 3 February 2022
Journalism Studies, Volume 23, pp 487-505; https://doi.org/10.1080/1461670x.2022.2032803

Abstract:
This article argues that the logic of data journalism has been a driving force in journalism since its beginnings, particularly in the case of economic journalism. Economic journalism has historically integrated five central aspects of data journalism: working with data and databases; the development of a conceptual infrastructure for data analysis and storytelling; the regular use of visualization tools; the application of new technologies to the peculiarities of economic data; and the integration of different professional profiles in the newsrooms. By analyzing economic journalism - the first among equals of data journalism - the article argues that data journalism can extract some lessons from economic news in order to improve the extension of data stories to every news beat. Four recommendations are drawn: the importance of a balanced management of data exuberance, their newsworthiness, and the analytical and conceptual tools used to interpret them; the aim of visualization should be more conceptual than descriptive, in order to simplify and clarify complex issues, and relationships between data, to make the explanation of current affairs more relevant and understandable; data journalism needs a harmonious integration of investigative projects with day-to-day coverage; and data journalism should avoid the perils of technological determinism.
, John Weldon
Published: 1 January 2022
The publisher has not yet granted permission to display this abstract.
Published: 27 September 2021
Journalism Practice pp 1-19; https://doi.org/10.1080/17512786.2021.1981773

Abstract:
Data journalism is a consolidated specialization in the newsrooms of many of the world's media outlets. Despite this, little research has been conducted on the ethical principles followed in this field of journalism. Data journalism uses different types of software to find its stories by statistically analyzing large datasets. Our research examines the winning projects of the Data Journalism Awards, Sigma Awards, and Online Journalism Awards, the last in the data journalism category, between 2012 and 2020. Using qualitative content analysis, we analyzed these projects from a three-fold ethical perspective: verification and data analysis, transparency, and privacy. Our main findings show that the winning projects complied with verification and data analysis, which is a standard practice to cross-check data from various sources and contextualize them adequately. In contrast, transparency and privacy principles were followed to a lesser extent. In light of these results, we propose that future research should focus on the perceptions of data journalists and users regarding the ethical standards that these projects meet.
Published: 24 August 2021
Digital Journalism pp 1-23; https://doi.org/10.1080/21670811.2021.1957965

Abstract:
This study introduces a synthesised framework for the analysis of data visualisations in the news. Through a close examination of seminal content analyses, their methodologies and findings, this article proposes a framework that consolidates dimensional components of data visualisations previously scattered across this body of research. To transition from incidental and essentialist examinations of visual data artefacts towards a systematic and theory-informed exploration, we consider the diagrammatic dimensions of data visualisations. The offered synthesized framework can serve as a starting point for both theory-infused descriptive purposes as well as more theory-guided explorations. The framework is put to the test by analysing 185 visualisations drawn from award-winning data stories. Findings generated through the application of the framework highlight the varied composition of components of data visualisations, though certain combinations of components are prevalent, leading to static categorical comparisons or interactive spatial localization. After all, data artefacts can be understood as problem-posing elements that are the outcome of diagrammatic thinking that journalists employ to communicate claims.
, Kathryn Cassidy, Edie Davis, Natalie Harrower
Published: 31 March 2021
Journalism Practice pp 1-23; https://doi.org/10.1080/17512786.2021.1903972

Abstract:
News organisations have longstanding practices for archiving and preserving their content. The emerging practice of data journalism has led to the creation of complex new outputs, including dynamic data visualisations that rely on distributed digital infrastructures. Traditional news archiving does not yet have systems in place for preserving these outputs, which means that we risk losing this crucial part of reporting and news history. Following a systematic approach to studying the literature in this area, this paper provides a set of recommendations to address lacunae in the literature. This paper contributes to the field by (1) providing a systematic study of the literature in the fields, (2) providing a set of recommendations for the adoption of long-term preservation of dynamic data visualisations as part of the news publication workflow, and (3) identifying concrete actions that data journalists can take immediately to ensure that these visualisations are not lost.
, Harrison M. Rosenthal
Published: 11 March 2021
Journalism Practice pp 1-19; https://doi.org/10.1080/17512786.2021.1897475

Abstract:
This study builds on the communication mediation model of political socialization and self-efficacy research, and focuses on journalism civic self-efficacy, an individual’s confidence in using journalistic skills to promote the awareness of a community issue. The study tests the premise that journalism civic self-efficacy explains, in part, how journalism education supports individuals’ political participation, by examining links between political interest, journalism civic self-efficacy, school and classroom contexts, and future political participation with data from U.S. high school journalists (n = 769) and their teachers (n = 42). The study’s key results are: (1) journalism civic self-efficacy partially mediates the relationship between political interest and prospective political participation, and (2) journalism civic self-efficacy increases when students feel a supportive school climate and when their instructors exert little control over students’ journalistic output. These results can inform the design of journalism education and outreach initiatives, prioritizing activities and settings that cultivate journalism civic self-efficacy among participants. The findings also highlight the value of such initiatives regardless of whether or not participants pursue newsroom careers. The study contributes empirical evidence to civic development literature of a pathway between journalism education and political participation, distinct from other school-sponsored activities (i.e., debate, student government).
, Kristen Betts
Published: 8 December 2020
Journalism Practice, Volume 16, pp 1512-1535; https://doi.org/10.1080/17512786.2020.1852883

Abstract:
Extensive research has been published on pedagogical approaches for online courses across traditional, theory-based curricula within business, education, and health care. However, there has been less research on pedagogical approaches for online courses within trade or professional disciplines, like journalism, which require high levels of authentic or experiential learning. The transactional distance between instructors and students, campus spaces and students, and students and students, create different challenges for developing collaborative experience and industry-specific skills. If faculty do not receive training on now to handle these challenges, both students and programs can suffer. Viewed through the Online Human Touch and TPACK frameworks, this qualitative multiple case study explored how four journalism and mass communications (JMC) programs approach the training and support of full-time and part-time faculty to teach online. Results include single case descriptions and cross-case analyses. Data analysis revealed non-mandatory training opportunities, instructional design support, and sustained efforts by administrators and staff to increase faculty buy-in to the efficacy of online learning. Implications are discussed for JMC educators offering, or considering offering, online courses, certifications, or degree program.
Asta Tvarijonaviciute, Delfina Roca, , , Luis J. Bernal, Jose J. Ceron, , Pedro A. Rojo-Villada
Published: 24 November 2020
Frontiers in Veterinary Science, Volume 7; https://doi.org/10.3389/fvets.2020.586086

Abstract:
Interdisciplinary collaborations are increasingly gaining popularity, as are active in higher education and innovative learning strategies. However, relatively little research has been performed related to interdisciplinary learning methodologies in higher education. In the present work, a pilot activity between communication and veterinary students was performed, consisting in performance of mock interviews at a professional television studio. Besides some drawbacks such as low participation rates by veterinary students, the activity was associated with a number of benefits, including enhanced acquirement of communication skills, greater topic-related knowledge assimilation, and reinforced practical application of the theoretical concepts.
Published: 22 October 2020
by MDPI
Journalism and Media, Volume 1, pp 26-40; https://doi.org/10.3390/journalmedia1010003

Abstract:
Despite the growing interest in data journalism in newsrooms and its more recent emergence as an academic discipline, there is a need for systematic research on the state-of-the-art and current data journalism-related practices in newsrooms. The Global Data Journalism survey was an attempt to address this gap by studying the data journalism practices in newsrooms across the world. This study provides a descriptive view of the results of this study and discusses the findings on several aspects of data journalism practice, characteristics of data journalists and data teams, and their skills and educational requirements. We further provide insight into the values associated with journalistic work and analyse the ways in which the community believes data journalism has improved or undermined these values.
Geeta Kashyap,
Published: 17 June 2020
Asia Pacific Media Educator, Volume 30, pp 44-58; https://doi.org/10.1177/1326365x20923200

Abstract:
With emergent subspecialties like data journalism bringing new skillsets and job roles, professionals and journalism educators find it difficult to imbibe the fast-changing industry demands. Such challenges in some countries and media industries put journalism educators in an advantageous position, offering them an agency to actively shape the contours of industry practice than getting shaped by it. From this perspective, the present study tries to understand data journalism practices in India and suggests certain insights to integrate data journalism training in programmes offered by Indian journalism education. By probing insights from the literature on data journalism education and by examining existing data journalism practices in India, the study calls for intervention with a pedagogic strategy to impart better data-sourcing practices, coding skills and critical data literacy among the students as an antidote to the prevalent DIY culture and overdependence on data aggregates. The pedagogic strategy should convey the importance of audience centrality and ethics in data journalism practice. It argues that such an approach can, in effect, improve industry practices as well as the quality of journalism education in India.
, Peter Worthy
Published: 18 May 2020
Digital Journalism, Volume 10, pp 319-336; https://doi.org/10.1080/21670811.2020.1764373

Abstract:
Internet-connected things, wearable computers and smart environments all promise new ways for publics to interact with information and with media professionals. In this environment, journalists and journalism educators have an opportunity to play a stronger role in designing stories and interactions that achieve social and democratic goals. Technical training, critical skills and entrepreneurial thinking are among the ways scholars and educators have grappled with this issue. In this article we add to these approaches, outlining a design-led initiative that introduces sketching as a method for exploring the use of technology in a journalistic context and imagining new possibilities. Rather than teach technological competency, we use sketching as a way to develop enterprise skills and foster creative thinking about how journalism might evolve in light of new and emerging technologies.
, Pilar José López López
Published: 8 April 2020
Journalism Practice, Volume 15, pp 638-650; https://doi.org/10.1080/17512786.2020.1749109

Abstract:
This article analyses the rise of local data journalism in the United Kingdom from a triple perspective: the description of four cases, their visions on the situation of this specialty and their perspectives on the theoretical keys of this phenomenon. Semi-structured interviews with the editors of these four projects are the main research method. The results show a complementary media ecosystem, due to their different editorial models and approaches. Journalists mainly compose the project teams, although they collaborate with technical profiles either within the company or through external collaborations. Data analysis is the fundamental task and, therefore, certain knowledge of statistics and spreadsheets, in addition to the conventional journalistic values, remain the main requirements. Local media are going through a critical situation, with little opportunities to invest in innovation, but precisely data journalism can become a solution if it contributes to the stability of the media outlets such as the rest of the newsroom. Therefore, this research aims to show the relevance of data journalism in the present and in the future of local and regional media and, consequently, in the improvement of the closest and most influential information.
Ho Young Yoon
Korean Journal of Journalism & Communication Studies, Volume 63, pp 87-115; https://doi.org/10.20879/kjjcs.2019.63.5.003

Abstract:
본 연구는 빅데이터 시대에 데이터 저널리즘 교육을 활성화시키기 위한 방안을 고민하는 연구이다. 이를 위해 먼저 데이터 저널리즘의 등장 배경과 개념적 정의를 논하고, 데이터 저널리즘 교육과 관련된 쟁점을 정리하였다. 다음으로, 미국을 중심으로 데이터 저널리즘의 교육 현황을 점검하면서, 데이터 분석의 학습과정에서 저널리즘적 시각이 추가되는 통계적 추론 능력이 중요하다는 점을 강조하였다. 또한, 데이터 저널리즘 교육의 활성화를 위해서는 대학 교육 뿐만 아니라 현업 환경을 고려한 학습 체계를 구성하는 것이 중요하다는 점을 언급하였다. 마지막으로, 데이터 저널리즘의 활성화를 위해 저널리즘 시각 육성을 위한 학부수업, 현업의 데이터 저널리즘 성과를 모은 학습 교재 데이터베이스, 그리고 대학원의 고급 기술 과정이 필요하다는 점을 제시하였다.
Published: 13 June 2019
Digital Journalism, Volume 7, pp 1270-1288; https://doi.org/10.1080/21670811.2019.1626257

Abstract:
This article aims to contribute to the debate on audience participation in the media from three points of view: (1) demonstrating how data journalism enables an effective participation by the public in news production, (2) establishing a typology of the forms of contribution, and (3) performing an in-depth study of La Nación (Argentina), as an example of success in collaborative data projects carried out in Latin America. In order to achieve these objectives, firstly, all the Global Editors Network Data Journalism Awards were analysed with the purpose of detecting projects involving user-generated content. Secondly, La Nación was studied from an ethnographic perspective, as it is the medium with the most prizes in which citizen participation was detected. The results show that collaboration between media and audience can make large-scale journalism projects a reality, and also that citizens in Argentina are recruited by LN Data specially to boost political accountability.
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