"We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in India

Detalhes bibliográficos
Autor(a) principal: Kashyap,Geeta
Data de Publicação: 2020
Outros Autores: Bhaskaran,Harikrishnan, Mishra,Harsh
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-59542020000200007
Resumo: Data journalism is emerging as a new subspecialty in Indian journalism. Indian data journalism practice is in nascent stage and newsrooms have lately started recognizing it as a new practice. There were specific issues and challenges faced by journalists in western news rooms as they adopted the practice. To generate a comparative perspective, the study carried out semi-structured interviews with Indian data journalists about their perceptions on the challenges of practicing data journalism. The results show that there are external and internal bottlenecks in practicing data journalism in India. While irregular data releases, use of unfriendly formats by governmental authorities is a major concern; reluctance of media organizations to invest in data teams is identified as an internal challenge. Indian data journalists are skeptical about the audience's participatory potential, which has restricted them from relying on practices like crowd-sourcing.
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spelling "We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in Indiadata journalismdata journalistsdata policyIndian mediaIndiaJournalism StudiesData journalism is emerging as a new subspecialty in Indian journalism. Indian data journalism practice is in nascent stage and newsrooms have lately started recognizing it as a new practice. There were specific issues and challenges faced by journalists in western news rooms as they adopted the practice. To generate a comparative perspective, the study carried out semi-structured interviews with Indian data journalists about their perceptions on the challenges of practicing data journalism. The results show that there are external and internal bottlenecks in practicing data journalism in India. While irregular data releases, use of unfriendly formats by governmental authorities is a major concern; reluctance of media organizations to invest in data teams is identified as an internal challenge. Indian data journalists are skeptical about the audience's participatory potential, which has restricted them from relying on practices like crowd-sourcing.OberCom2020-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-59542020000200007Observatorio (OBS*) v.14 n.2 2020reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-59542020000200007Kashyap,GeetaBhaskaran,HarikrishnanMishra,Harshinfo:eu-repo/semantics/openAccess2024-02-06T17:22:27Zoai:scielo:S1646-59542020000200007Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:29:06.786118Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv "We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in India
title "We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in India
spellingShingle "We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in India
Kashyap,Geeta
data journalism
data journalists
data policy
Indian media
India
Journalism Studies
title_short "We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in India
title_full "We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in India
title_fullStr "We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in India
title_full_unstemmed "We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in India
title_sort "We need to find a revenue model": Data journalists' perceptions on the challenges of practicing data journalism in India
author Kashyap,Geeta
author_facet Kashyap,Geeta
Bhaskaran,Harikrishnan
Mishra,Harsh
author_role author
author2 Bhaskaran,Harikrishnan
Mishra,Harsh
author2_role author
author
dc.contributor.author.fl_str_mv Kashyap,Geeta
Bhaskaran,Harikrishnan
Mishra,Harsh
dc.subject.por.fl_str_mv data journalism
data journalists
data policy
Indian media
India
Journalism Studies
topic data journalism
data journalists
data policy
Indian media
India
Journalism Studies
description Data journalism is emerging as a new subspecialty in Indian journalism. Indian data journalism practice is in nascent stage and newsrooms have lately started recognizing it as a new practice. There were specific issues and challenges faced by journalists in western news rooms as they adopted the practice. To generate a comparative perspective, the study carried out semi-structured interviews with Indian data journalists about their perceptions on the challenges of practicing data journalism. The results show that there are external and internal bottlenecks in practicing data journalism in India. While irregular data releases, use of unfriendly formats by governmental authorities is a major concern; reluctance of media organizations to invest in data teams is identified as an internal challenge. Indian data journalists are skeptical about the audience's participatory potential, which has restricted them from relying on practices like crowd-sourcing.
publishDate 2020
dc.date.none.fl_str_mv 2020-03-01
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status_str publishedVersion
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dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv OberCom
publisher.none.fl_str_mv OberCom
dc.source.none.fl_str_mv Observatorio (OBS*) v.14 n.2 2020
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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