A STUDY ON THE EMERGING TRENDS OF DATA JOURNALISM AND ENVIRONMENT IN INDIA
DOI:
https://doi.org/10.29121/shodhkosh.v5.i1.2024.1253Keywords:
Data Journalism, Environment, Disasters, Web Data, Reporting, Twitter, Social MediaAbstract [English]
There is a belief that Data journalism is relatively a new term for environmental practices, but in fact, the relation of environment and data goes way long back than one can think. Now more advanced and visual methods have replaced the older one and due to which the relation between the two variables is more visible. Environment and data were always related. But with the advances in computer-based reporting, the use of data in environmental reporting has excelled.
With the increasing population and human penetration in nature, has resulted in many issues that for which mankind can be blamed. Now whenever any environment is affected the numbers of casualties are huge. Not only casualties but everything it touches is huge, be the damage, the geography it covered, anything. It becomes a huge task for the journalist to compile that whole data and show it in understandable manner. Because, until and unless the proper message is conveyed, people won’t be able to understand the gravity of the disaster. And to combat this problem of dealing huge chunk of data is data journalism. In this chapter we will see how data journalism was used to show the environmental issues.
References
Coddington, M. (2015). Clarifying Journalism’s Quantitative Turn: A Typology for Evaluating Data Journalism, cOmputational Journalism, and Computer-Assisted Reporting. Digital Journalism, 3(3), 331–348. DOI: https://doi.org/10.1080/21670811.2014.976400
Green, S. (2018). When the Numbers Don’t Add Up: Accommodating Data Journalism in a Compact Journalism Programme. Asia Pacific Media Educator, 28(1), 78–90. DOI: https://doi.org/10.1177/1326365X18766767
Jang, S. M., & Hart, P. S. (2015). Polarized frames on “climate change” and “Global Warming” Across Countries and States: Evidence from Twitter big data. Global Environmental Change, 32, 11–17. DOI: https://doi.org/10.1016/j.gloenvcha.2015.02.010
Kirilenko, A. P., & Stepchenkova, S. O. (2014). Public Microblogging on Climate Change : One Year of Twitter Worldwide. Global Environmental Change, 26(1), 171–182. DOI: https://doi.org/10.1016/j.gloenvcha.2014.02.008
Knight, M. (2015). Data journalism in the UK : A preliminary Analysis of form and Content. Journal of Media Practice, 16(1), 55–72. DOI: https://doi.org/10.1080/14682753.2015.1015801
Kunelius, R. (2019). A forced opportunity: Climate Change and journalism. Journalism, 20(1), 218–221. DOI: https://doi.org/10.1177/1464884918807596
Lewis, S. C., & Usher, N. (2013). Open Source and journalism: Toward new Frameworks for Imagining News Innovation. Media, Culture and Society, 35(5), 602–619. DOI: https://doi.org/10.1177/0163443713485494
Nisbet, M. C. (2019). The Trouble With Climate Emergency Journalism. Issues in Science and Technology, 35(4), 23–26. Accountid=14474%0Ahttp://resolver.library.ualberta.ca/resolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Apa
Painter, J. (2019). Climate Change Journalism: Time to Adapt. Environmental Communication, 13(3), 424–429. DOI: https://doi.org/10.1080/17524032.2019.1573561
Permissions, G., Public, G., Explorer, D., Surveys, G., Map, G. C., Forest, G., Databot, E., Trends, G., Tables, G. F., Sheets, G., & Studio, G. D. (n.d.). Journalism Permissions : Source Google data.
Singh, P. (2019). New Media as a Change Agent of Indian Television and Cinema: A study of over the top Platforms. Journal of Content, Community and Communication, 9(2019), 131–137.
Takahashi, B., Tandoc, E. C., & Carmichael, C. (2015). Communicating on Twitter During a Disaster: An Analysis of Tweets During Typhoon Haiyan in the Philippines. Computers in Human Behavior, 50, 392–398. DOI: https://doi.org/10.1016/j.chb.2015.04.020
Zhu, L., & Du, Y. R. (2018). Interdisciplinary Learning in Journalism: A Hong Kong Study of Data Journalism Education. Asia Pacific Media Educator, 28(1), 16–37. DOI: https://doi.org/10.1177/1326365X18780417
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Siddharth Sharma, Dr. Pranav Mishra, Dr. Manish Dubey
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
