Communication Research and Practice The new order of news and social media enterprises: visualisations, linked data, and new methods and practices in journalism (original) (raw)
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In the past, journalists were responsible for reporting the news. But today news stories disseminate as the incidents unfold, from multiple sources. Thus, gathering, filtering and visualizing events has a growing value. Huge amounts of data are available, but exploiting them is not an easy task. Data journalism can be defined as a journalism speciality in which numerical data are used in the production and distribution of information. This article investigates the necessary skills that journalists must have in order to cope with data journalism. More precisely, it defines data journalism, and discusses journalists' Information and Communication Technology (ICT) skills, as well as the necessary skills for supporting data journalism. Special attention is given to Web 3.0 and open data that can play an important role in data journalism. A survey conducted among professional journalists in Greece concerning data journalism is also presented and discussed.
THE IMPACT OF DATA SCIENCE IN DIGITAL JOURNALISM
Social media is a robust platform and it has a lot of beneficial implications. In an era of technological advancements, mankind is surrounded by electronic means of communication and networking or communication has become easier than ever. It is very easy for a person sitting in an Asian city to interact with someone in Northern America. Likewise, people are now more informed about daily events and news taking place all over the world.These social networks have become a substantial tool for unstructured data from different domains which include business, government organizations and individuals. Many data analytical firms are extracting this data in a systemic pattern which refers to the term "Data Science". However, the purpose of this aligned data is to target defined and scattered audience to control their mindsets or picture in the head. The prime focus of this study is to empericaly calculate the impact of data science in Digital Journalism as well as how alarming this can be in terms of authenticity, reliability or being stated as a word of mouth.The study depicts how technology-dependent man has become and the way technology has deterred the process of thinking and evaluation
Journalism In An Era Of Big Data
Digital Journalism, 2015
This special issue examines the changing nature of journalism amid data abundance, computational exploration, and algorithmic emphasis-developments with wide meaning in technology and society at large, and with growing significance for the media industry and for journalism as practice and profession. These data-centric phenomena, by some accounts, are poised to greatly influence, if not transform over time, some of the most fundamental aspects of news and its production and distribution by humans and machines. While such expectations may be overblown, the trend lines are nevertheless clear: large-scale datasets and their collection, analysis, and interpretation are becoming increasingly salient for making sense of and deriving value from digital information, writ large. What such changes actually mean for news, democracy, and public life, however, is far from certain. As such, this calls for scholarly scrutiny, as well as a dose of critique to temper much celebration about the promise of reinventing news through the potential of "big data." This special issue thus explores a range of phenomena at the junction between journalism and the social, computer, and information sciences. These phenomena are organized around the contexts of digital information technologies being used in contemporary newswork-such as algorithms and analytics, applications and automation-that rely on harnessing data and managing it effectively. What are the implications of such developments for journalism's professional norms, routines, and ethics? For its organizations, institutions, and economics? For its authority and expertise? And for the epistemology that undergirds journalism's role as knowledge-producer and sense-maker in society?
DATA AND TECHNOLOGY: ONE OF THE CHALLENGES FOR JOURNALISM (Atena Editora)
DATA AND TECHNOLOGY: ONE OF THE CHALLENGES FOR JOURNALISM (Atena Editora), 2022
In the constantly changing society we live in, the way journalism is done has undergone major changes. However, it must be noted that the pillars of journalism continue to be based on ethical values, the search for truth and objectivity. One of the factors contributing to change in this profession is the widespread use of new technologies. In this work, in order to adjust teaching to the new emerging needs of future professionals, we will focus on the information contained in the data and how to analyze it, since the data have been increasingly used as a source of news. The proposed challenge was to analyze how three leading Portuguese newspapers covered the news of the pandemic caused by COVID-19. In this sense, it was necessary to prepare the database for analysis and plan what information to extract from the data. In addition to Excel, used to organize the database, we used the Python programming language, which allowed for a more detailed analysis of the news coverage of the pandemic.
From Computer-Assisted to Data-Driven: Journalism and Big Data
THIS IS AN AUTHORS’ DRAFT. THE FINAL VERSION OF THIS ARTICLE WAS PUBLISHED IN JOURNALISM, ONLINE FIRST: 15 DECEMBER 2015 (DOI: 1464884915620205) HTTP://JOU.SAGEPUB.COM/CONTENT/EARLY/2015/12/15/1464884915620205.ABSTRACT Despite claims of continuity, contemporary data journalism is quite different from the earlier tradition of computer-assisted reporting. Although it echoes earlier claims about being scientific and democratic, these qualities are understood as resulting from better data access rather than as being something achieved by the journalist. In the context of Big Data in particular, human subjectivity tends to be downgraded in importance, even understood as getting in the way if it means hubristically theorising about causation rather than working with correlation and allowing the data to speak. Increasing ‘datafication’ is not what is driving changes in the profession, however. Rather, the impact of Big Data tends to be understood in ways that are consonant with pre-existing expectations, which are shaped by the broader contemporary post-humanist political context. The same is true in academic analysis, where actor–network theory seems to be emerging as the dominant paradigm for understanding data journalism, but in largely uncritical ways.
Journal of Mass Communication & Journalism, 2021
Thanks to the large data source on the Internet, several improvements have also taken place in the working method of the professional journalist. Modern journalists may use software and data on the Internet as part of their news gathering operation. Combining the type of knowledge and data from the Internet with information from journalistic sources involved in the mining phase (authorities, police, and witnesses can carry unparalleled news capabilities) to a partner, Data journalist may also conduct a simple operation of linking and synthesizing between various documents in order to make new discoveries in the work process. This paper deals with the open data and the duty of the journalist to use it. The emergence of open data sources by governments around the world has made the search for data sources richer. Journalists may make use of open data to find knowledge. How do journalists make effective use of open data to create high-quality media products tailored to the needs of the modern public? We give the answer within the following text.
Contributions of academic articles to the practice of journalism and data management
Observatorio (OBS*)
The increasing number of open data resources and the arrival of big data have boosted the data available as a source of news. Journalists need new skills for collecting the data and creating the news. In addition, all this data can also be used to provide new media services and to take media business decisions, and journalists need new skills related to data for these tasks. Taking into account these areas of knowledge required by journalists for the use of data, we perform a structured literature review (SLR) followed by a content analysis. The results confirm the relevance of data management in journalistic practice, requiring skills in statistics, data visualization, technology, but also in ethics, marketing or audience monitoring.
What is Data Journalism For? Cash, Clicks, and Cut and Trys
The Data Journalism Handbook (2nd Edition), 2018
Permalink: https://datajournalismhandbook.org/handbook/two/reflections/what-is-data-journalism-for-cash-clicks-and-cut-and-trys This critique I offer flows largely from a Western-centered perspective, if not-US centered perch, but that does not undermine the essential call to action I put forward: data journalists are still sitting on a potentially revolutionary toolbox for journalism that has yet to be unleashed. The revolution, however, if executed poorly, only stands to further undermine both the user-experience and knowledge-seeking efforts of news consumers, and at worst, further seed distrust in news. If data journalism just continues to look like it has looked for the past five to ten years, then data journalism does little to advance the cause of journalism in the digital and platform era. Thus, to start asking this existential question about “What is data journalism for?” I propose, that data journalists, along with less-data focused but web-immersed journalists who work in video, audio, and code, as well as the scholars that poke and prod them, need to rethink data journalism’s origin story, its present rationale, and its future.
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This article gives a brief review of the history of data journalism, as well as the prerequisites for its appearance. The authors describe the advantages of employing data-journalism skills in the newsrooms. Finally, the article provides a review of data-driven journalism projects all over the world, state of art 2014.