scholarly journals Study on Data Journalism in Tamilnadu & the Challenges

2020 ◽  
Vol 5 (6) ◽  
pp. 1105-1111
Author(s):  
Aiswarya Lakshmi
Keyword(s):  
Computer Assisted ◽  
Digital Evolution ◽  
Online Journalism ◽  
Major Focus ◽  
Political Values ◽  
News Reporting ◽  
News Credibility ◽  
Huge Impact ◽  
Data Journalism ◽  
Hacker Culture

When Digital technology brought online journalism and new practices into newsrooms that made a huge impact on Indian newsrooms articles that lead to different perspective stories which gave a lot of space for creativity, this allowed every citizen to become online journalist that was a great milestone in digital evolution. But, when the news credibility in online journalism gradually fell, many journalist and publishers worried that admired principles of news reporting, experience and intuition might decline or even disappear. On the other hand, they fail to realise that this will empower journalists to use numbers to tell stories with fewer anecdotes, more reliability and to cover challenging invisible stories. Journalism has always involved numbers and data analysis was also a part of it. Then a new practice, “Data journalism” sparked in the newsroom that involves data to find a story and create visualizations which are not a very easy process in the newsroom. Howard (2014) in his study mentioned that 21st century was a change for mobile computing that lead to increases in online connectivity, access, speed and an explosion in data creation that completely changed the landscape for computer-assisted reporting. Another study by Parasie and Dagiral (2012) argued that data journalism comes into light because of hacker culture, initially, the hackers deal with the open-source and open government with some political values, which injects a new culture into the newsrooms. When we look at the national context there are many challenges to adapt in India newsrooms and confusion about its role and importance in the field of journalism. The major focus of this research is to find the complications faced by journalists while incorporating data into their news organization. The sample consisted of data journalists from various parts of India

scholarly journals From Data Journalism to Artificial Intelligence: Challenges Faced by La Nación in Implementing Computer Vision in News Reporting

2021 ◽  
Vol 24 (3) ◽  
pp. 1-40
Author(s):  
Mathias-Felipe de-Lima-Santos ◽  
Ramón Salaverría
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Latin American ◽  
Implementation Process ◽  
Media Industry ◽  
Technological Infrastructure ◽  
News Reporting ◽  
Technological Advances ◽  
High Resolution Imagery ◽  
Data Journalism

Journalism is at a radical point of change that requires organizations to come up with new ideas and formats for news reporting. Additionally, the notable surge of data, sensors and technological advances in the mobile segment has brought immeasurable benefits to many fields of journalistic practice (data journalism in particular). Given the relative novelty and complexity of implementing artificial intelligence (AI) in journalism, few areas have managed to deploy tailored AI solutions in the media industry. In this study, through a mixed-method approach that combines both participant observations and interviews, we explain the hurdles and obstacles to deploying computer vision news projects, a subset of AI, in a leading Latin American news organization, the Argentine newspaper La Nación. Our results highlight four broad difficulties in implementing computer vision projects that involve satellite imagery: a lack of high-resolution imagery, the unavailability of technological infrastructure, the absence of qualified personnel to develop such codes, and a lengthy and costly implementation process that requires significant investment. This article concludes with a discussion of the centrality of AI solutions in the hands of big tech corporations.

Apostles of Certainty

2018 ◽  
Author(s):  
C.W. Anderson
Keyword(s):  
Science And Technology Studies ◽  
Political Process ◽  
The United States ◽  
Quantitative Information ◽  
First Century ◽  
Truth Telling ◽  
News Reporting ◽  
Limited Degree ◽  
Professional Self ◽  
Data Journalism

Apostles of Certainty: Data Journalism and the Politics of Doubt traces the way American journalists have made use of quantitative information in their news reporting from the early twentieth century to the present day. In so doing, it examines changing notions of journalistic objectivity and truth telling, particularly as these have evolved alongside social science disciplines such as political science and sociology. Apostles of Certainty uses methodological techniques pioneered in science and technology studies to link the study of newsroom ontologies and epistemologies to a broader analysis of how public knowledge is produced and distributed in the digital age. Though largely historical, the book also sheds light on politics and media in the twenty-first century, with findings that speak to current public conversations around so-called post-truth and the spread of fake news. The book concludes that, viewed over the long term, journalistic reporting in the United States has improved in its accuracy, subtlety, and professional self-certainty, but we have not witnessed a simultaneous improvement in the conduct of US political discourse. In part this is because political journalism only influences politics to a limited degree. To the degree it does have an impact on the political process, the book argues that data-oriented journalism plays a largely tribal and aesthetic role and divides Americans into empirical “tribes” based in part on the perceived elitism of data-based reporting.

Student-Initiated Use of Facebook for Learning Online Journalism

2016 ◽  
Vol 72 (4) ◽  
pp. 425-441 ◽  
Author(s):  
Yang Song
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Course Design ◽  
Online Discussion ◽  
Classroom Observation ◽  
Learning Activities ◽  
Computer Assisted ◽  
Online Journalism ◽  
Team Project

This article presents a case study of student-initiated use of Facebook Groups in doing a team project for an online journalism course. Drawing upon the concept of affinity space and a theoretical taxonomy of asynchronous online discussion, the present study triangulates classroom observation, semi-structured student interviews, and microanalysis of posting activities of a student-initiated Facebook group. The findings suggest a shift of attention from instructor-centered course design to student-initiated use of social networking sites for learning online journalism. Instructors are invited to position themselves as facilitators and to take an intersubjective stance when designing computer-assisted learning activities.

Social credibility online: The role of online comments in assessing news article credibility

2018 ◽  
Vol 39 (1) ◽  
pp. 18-31 ◽  
Author(s):  
Ivanka Pjesivac ◽  
Nicholas Geidner ◽  
Jaclyn Cameron
Keyword(s):  
Genetically Modified Organisms ◽  
Online News ◽  
News Article ◽  
News Story ◽  
Online Journalism ◽  
Source Expertise ◽  
Internet Users ◽  
News Credibility ◽  
Twitter Users

This 2 × 2 experimental study (N = 196) tested the effects of source expertise and opinion valence in readers’ comments on the credibility of an online news story about genetically modified organisms (GMOs). Source expertise had a significant influence on perceptions of article credibility; articles were judged more credible when public comments embedded in the story were from expert sources (e.g., scientists) rather than nonexpert sources (e.g., Twitter users). Effects were larger on high-frequency news users, regardless of whether comments were for or against GMOs. Results suggest that Internet users mainly use the peripheral or heuristic route of information processing to evaluate online news credibility. The importance for online journalism of social heuristics via opinions of other people is discussed.

scholarly journals Big Data as a differentiating sociocultural element of data journalism: the perception of data journalists and experts

1970 ◽  
pp. 193-208
Author(s):  
María Teresa Sandoval-Martín ◽  
Leonardo La-Rosa
Keyword(s):  
Big Data ◽  
Latin American ◽  
Science And Technology Studies ◽  
Open Data ◽  
Public Information ◽  
Team Work ◽  
Boundary Object ◽  
Computer Assisted ◽  
Sociocultural Environment ◽  
Data Journalism

The use of methods of the social sciences and computational tools to analyze databases in journalism has had several definitions since Philip Meyer called it precision journalism (PJ). In the last decade, this specialty has had an important development under the term data journalism (DJ), in a differentiating technological and sociocultural environment: Big Data. This research aims to differentiate DJ from PJ and computer assisted reporting (CAR) with a perspective taken from the science and technology studies, focusing the news as a boundary object between programmers, designers, journalists and other actors that now are part of the news production process. For this purpose, 14 in-depth interviews have been made from 2015 to 2017 to data journalists from Spain (8), EEUU (1) and Finland (1); PP, PD and transparency academic experts from Spain (1) and Finland (2); and one expert in transparency acts y access to public information in Spain, Europe and Latin American. As a result, it can be affirmed that big data is differentiating element of DJ because it is a sociocultural context where the open data philosophy, free software, collaborative and team work are part of its identity.

Beat Journalism and Reporting

2019 ◽  
Author(s):  
Melanie Magin ◽  
Peter Maurer
Keyword(s):  
News Coverage ◽  
Specific Area ◽  
The United States ◽  
Online Journalism ◽  
The Social ◽  
Data Journalism ◽  
The Subject ◽  
Relationship Of ◽  
The 19Th Century

Beat reporting refers to thematic specialization and routines (places to go, people to see) in journalism. The term reflects the distinction between general assignment reporters and specialized (beat) reporters covering a specific area (beat) as well as the subject-matter or geographic divisions between areas of reporting by which media organizations seek to structure the social environment they cover. Beat reporting marks the beginning of modern journalism. It was invented at the end of the 19th century in the United States with the aim to increase the efficiency of journalistic work. Thus it relates to the professionalization and rationalization of newspaper journalism and the transformation of newspapers into a mass product. In everyday work, beat reporting has undeniable advantages. It saves resources since beat reporters are very experienced on their beat and know well where and how to get exactly the information they need. Due to their long-term relationship of trust with relevant sources, beat reporters obtain exclusive, trustworthy, and newsworthy information. Along with this specialization come, however, several challenges; for example, the diversity of views represented in a beat might be limited, which can also affect the diversity of news coverage. At the extreme, this can even lead to pack journalism as a form of groupthink. Concerning the reporter–source relationship, there are three risks of losing professional distance: (a) If beat reporters become too loyal toward their sources, they can be instrumentalized; (b) being too adversarial toward their sources might entail a loss of trust and an increasing cynicism of the audience; (c) if beat reporters start feeling like advocates of their own interests, they might behave as activists rather than detached observers. Most recently, online journalism has changed the understanding of beat journalism (e.g., data journalism, local online beat) compared to the traditional understanding. Research on beat journalism has so far focused on stable, high-income democracies and on the political beat as the most fundamental and prominent beat.

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 Inaccuracy within Online Journalism in Indonesia

2021 ◽  
Vol 13 (2) ◽  
pp. 179
Author(s):  
Fikry Zahria Emeraldien ◽  
Rahma Sugihartati ◽  
Titik Puji Rahayu
Keyword(s):  
News Media ◽  
Online News ◽  
Online Media ◽  
Analysis Method ◽  
Online Journalism ◽  
News Reporting ◽  
Content Analysis Method ◽  
Grammatical Errors ◽  
The Moment ◽  
Very High

<em><span>Many scholars have conducted studies on the accuracy of the news media, such as newspaper, television, and magazine, but not online media. In fact, online media is a significant news media in the moment, especially in Indonesia. Online press companies are even the largest press companies in Indonesia compared to newspapers, radio, and television. Therefore, this study is conducted to measure the inaccuracies that occur in news in online news media. Researchers examined 63 online journalistic media that have been administratively and factually verified by the ‘Dewan Pers’ (Press Council). It uses a content analysis method by coding the headlines in Indonesian online journalistic media. This study finds online mass media categories based on the theme segmentation, namely: 1) general, 2) economics, technology, and business, 3) sports, 4) politics, law, and crime, 5) lifestyle and entertainment, and 6) regional. The results of this study indicate that the inaccuracy of news in Indonesian online media is high. Media with economics, technology, and business most often make grammatical errors. This study also finds that speed does not only has an impact on grammatical inaccuracies, but also on unbalanced news reporting, where the imbalance in Indonesian online media news itself is very high.</span></em>

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.

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