scholarly journals 49. Data-Driven Gold Standards: What the Field Values as Award-Worthy Data Journalism

2021 ◽  
pp. 360-369
Author(s):  
Wiebke Loosen
Keyword(s):  
Data Driven ◽  
Data Journalism ◽  
Gold Standards

Data-Driven Gold Standards: What the Field Values as Award-Worthy Data Journalism

2021 ◽  
Author(s):  
Wiebke Loosen
Keyword(s):  
Data Driven ◽  
Data Journalism ◽  
The Relationship ◽  
Gold Standards

This chapter explores the relationship between the datafication of society and a datafied journalism and introduces awards as a means to study the evolution of data journalism.

scholarly journals Models and Streams of Data Journalism

2015 ◽  
Vol 2 (1) ◽  
pp. 77-88 ◽  
Author(s):  
Turo I Uskali ◽  
Heikki Kuutti
Keyword(s):  
Big Data ◽  
Large Data ◽  
Large Data Sets ◽  
Data Driven ◽  
Data Sets ◽  
Work Practices ◽  
Research Project ◽  
Ongoing Research ◽  
Data Journalism ◽  
Initial Results

This paper presents the initial results of a two-year research project, the Data Journalism Work Practices, which focuses on newsrooms in Finland, UK and US. Data journalism or data-driven journalism has been defined simply as journalism based on large data sets (or big data) Rogers 2011; Bounegru et al. 2012). According to our ongoing research on data journalism work methods, we can claim this has been an oversimplification. In this paper we will argue that all the brief definitions of data journalism lack nuances, and the multiple layers that contemporary data journalism already consists of in newsrooms. Based on six interviews of leading Finnish, American and British data journalists we can claim that there are already at least three different models for organizing data journalism work practices, and two main streams of data journalism, not just one.

scholarly journals Evaluation and comparison of multi-omics data integration methods for cancer subtyping

2021 ◽  
Vol 17 (8) ◽  
pp. e1009224
Author(s):  
Ran Duan ◽  
Lin Gao ◽  
Yong Gao ◽  
Yuxuan Hu ◽  
Han Xu ◽  
...  
Keyword(s):  
Comprehensive Evaluation ◽  
Practical Importance ◽  
Data Driven ◽  
Omics Data ◽  
Data Types ◽  
Integration Methods ◽  
Integrative Studies ◽  
The Impact ◽  
Gold Standards ◽  
Omics Data Integration

Computational integrative analysis has become a significant approach in the data-driven exploration of biological problems. Many integration methods for cancer subtyping have been proposed, but evaluating these methods has become a complicated problem due to the lack of gold standards. Moreover, questions of practical importance remain to be addressed regarding the impact of selecting appropriate data types and combinations on the performance of integrative studies. Here, we constructed three classes of benchmarking datasets of nine cancers in TCGA by considering all the eleven combinations of four multi-omics data types. Using these datasets, we conducted a comprehensive evaluation of ten representative integration methods for cancer subtyping in terms of accuracy measured by combining both clustering accuracy and clinical significance, robustness, and computational efficiency. We subsequently investigated the influence of different omics data on cancer subtyping and the effectiveness of their combinations. Refuting the widely held intuition that incorporating more types of omics data always produces better results, our analyses showed that there are situations where integrating more omics data negatively impacts the performance of integration methods. Our analyses also suggested several effective combinations for most cancers under our studies, which may be of particular interest to researchers in omics data analysis.

Data journalism uptake in South Africa’s mainstream quotidian business news reporting practices

Journalism ◽  
2020 ◽  
pp. 146488492095138
Author(s):  
Allen Munoriyarwa
Keyword(s):  
Qualitative Interviews ◽  
Data Driven ◽  
Corporate Accountability ◽  
News Production ◽  
News Reporting ◽  
Reporting Practices ◽  
News Stories ◽  
Business News ◽  
News Sources ◽  
Data Journalism

Drawing from the sociology of news production theory, this study examines the uptake of data-driven practices in business news reporting. It examines the extent to which journalists have adopted data journalism in business news and how this has altered their news reporting practices. It is based on a textual analysis of business news stories from two selected prominent business newspapers – Business Day and The Financial Mail and qualitative interviews with business news reporters. The study finds that there is a (gradually) increasing uptake of data-driven business news reporting practices, tempered by journalists’ concerns regarding their own individual professional capabilities. Furthermore, the practice has increasingly created a new narrative of corporate accountability in the press and inculcated collaboration in newsrooms. It argues that data-driven business news practices have upended the ‘rhythimised’ and ‘routinised’ news production processes by, among other aspects, empowering non-elite news sources, fostering newsroom collaborations and agentive the newsrooms. However, there is need for a recalibration of journalism education if data-driven reporting practices are to be more sustainable.

scholarly journals DOES AZERBAIJANI SOCIAL MEDIA USE DATA ANALYSIS AS NEWS?

2021 ◽  
Vol 6 (2) ◽  
pp. 161-167
Author(s):  
Vafa Zahid ISGANDAROVA
Keyword(s):  
Social Media ◽  
Data Driven ◽  
The Internet ◽  
Great Effort ◽  
Editorial Department ◽  
Internet Media ◽  
The World ◽  
Data Journalism ◽  
Pie Chart ◽  
Media Data

The article is about new area of media – data driven journalism which spread in all over the world widely. Here is researched the Azerbaijani internet media outlets activity, some challenges and progress, made survey related to audience`s interest about that. Social media, a branch of the Internet, is less used in data journalism because it is more operative and concise. Because it takes time to collect the data, visualize it and turn it into a story. Irrespective of that, Azerbaijani social media outlets such as Modern.az, Qafqaz.info, Report.az, BBC Azerbaycanca, Sputnik.az, Telegraph.com and etc. make a great effort to use data driven journalism trend. The majority of them are made by an editorial department to create info graphics, pie chart, and other visualizations tools.

Data-driven reporting: An on-going (r)evolution? An analysis of projects nominated for the Data Journalism Awards 2013–2016

Journalism ◽  
2017 ◽  
Vol 21 (9) ◽  
pp. 1246-1263 ◽  
Author(s):  
Wiebke Loosen ◽  
Julius Reimer ◽  
Fenja De Silva-Schmidt
Keyword(s):  
Content Analysis ◽  
Gold Standard ◽  
Data Sources ◽  
Data Driven ◽  
Investigative Journalism ◽  
Public Data ◽  
Data Journalism

Data-driven journalism can be considered as journalism’s response to the datafication of society. To better understand the key components and development of this still young and fast evolving genre, we investigate what the field itself defines as its ‘gold-standard’: projects that were nominated for the Data Journalism Awards from 2013 to 2016 (n = 225). Using a content analysis, we examine, among other aspects, the data sources and types, visualisations, interactive features, topics and producers. Our results demonstrate, for instance, only a few consistent developments over the years and a predominance of political pieces, of projects by newspapers and by investigative journalism organisations, of public data from official institutions as well as a glut of simple visualisations, which in sum echoes a range of general tendencies in data journalism. On the basis of our findings, we evaluate data-driven journalism’s potential for improvement with regard to journalism’s societal functions.

scholarly journals From computer-assisted to data-driven: Journalism and Big Data

Journalism ◽  
2016 ◽  
Vol 18 (4) ◽  
pp. 408-424 ◽  
Author(s):  
Philip Hammond
Keyword(s):  
Big Data ◽  
Network Theory ◽  
Actor Network Theory ◽  
Data Access ◽  
Data Driven ◽  
Computer Assisted ◽  
Human Subjectivity ◽  
Data Journalism ◽  
The Impact ◽  
Dominant Paradigm

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.

scholarly journals Instagrammable Data: Using Visuals to Showcase More Than Numbers on AJ Labs Instagram Page

2021 ◽  
Author(s):  
Mathias-Felipe de-Lima-Santos ◽  
Arwa Kooli
Keyword(s):  
Mixed Method ◽  
Business Models ◽  
Data Driven ◽  
Font Size ◽  
Al Jazeera ◽  
Use Of Data ◽  
Social Media Platforms ◽  
Data Journalism ◽  
Youtube Videos ◽  
Method Approach

<p>News outlets are developing formats dedicated to social platforms that capture audience attention, such as Instagram stories, Facebook Instant articles, and YouTube videos. In some cases, these formats are created in collaboration with the tech companies themselves. At the same time, the use of data-driven storytelling is becoming increasingly integrated into the ever-complex business models of news outlets, generating more impact and visibility. Previous studies have focused on studying these two effects separately. To address this gap in the literature, this paper identifies and analyzes the use of data journalism on the Instagram content of AJ Labs, the team dedicated to producing data-driven and interactive stories for the Al Jazeera news network. Drawing upon a mixed-method approach, this study examines the use and characteristics of data stories on social media platforms. Results suggest that there is reliance on producing visual content that covers topics such as politics and violence. In general, AJ Labs relies on the use of infographics and produces its own unique data. To conclude, this paper suggests potential ways to improve the use of Instagram to tell data stories.</p> @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:3 0 0 0 1 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial",sans-serif; mso-fareast-font-family:Arial; mso-ansi-language:EN;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:11.0pt; mso-ansi-font-size:11.0pt; mso-bidi-font-size:11.0pt; font-family:"Arial",sans-serif; mso-ascii-font-family:Arial; mso-fareast-font-family:Arial; mso-hansi-font-family:Arial; mso-bidi-font-family:Arial; mso-ansi-language:EN;}.MsoPapDefault {mso-style-type:export-only; line-height:115%;}div.WordSection1 {page:WordSection1;}

Sign in / Sign up

Export Citation Format

Share Document