Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

We need to find a revenue model

Data journalists’ perceptions on the challenges of practicing data journalism in India

Bibliographic Data

ID7494652
AuthorsGeeta Kashyap (0000-0002-0120-2232, corresponding author), Harikrishnan Bhaskaran (0000-0002-8952-5721), Harsh Mishra (0000-0002-2881-6330)
Year2020
Volume14
Issue2
Publication date2020-06-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueObservatorio (OBS (JOURNAL)
Journal identifiersISSN: 1646-5954 • E-ISSN: 1646-5954
PublisherOberCom (Observatorio da Comunicação) (PUBLISHER • PT)
DOI10.15847/obsobs14220201552
OpenAlexW3040856030
LanguageEN
Citations received10

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

Business · Citizen journalism · Journalism · Media studies · Political science · Public relations · Revenue · Skepticism · Sociology · Subspecialty · Technical Journalism · Media Studies and Communication · Psychology

  • From Data Journalism to Artificial Intelligence

    Open Access•Mathias-Felipe De-Lima-Santos, Ramón Salaverría•Palabra Clave•2021

  • The Impact of Public Transparency Infrastructure on Data Journalism

    Lindita Camaj, Jason Martin et al.•Digital Journalism•2025

  • The Entanglements between Data Journalism, Collaboration and Business Models

    Open Access•Mathias-Felipe De-Lima-Santos•Digital Journalism•2024

  • Teaching Data Journalism in the Global South

    Open Access•Justito Adiprasetio, Ni Made Tasyarani et al.•Journalism & Mass Communication…•2026

  • Teaching Data Journalism

    Harikrishnan Bhaskaran, Geeta Kashyap et al.•Journalism Practice•2024

  • Challenges Behind Data Journalism Practices in Pakistan

    Sana Ali, Humaira Sharif et al.•Journalism Practice•2025

  • The Data Journalism Workforce

    Open Access•Simona Bisiani, Andrea Abellán-Mancheño et al.•Journalism Practice•2023

  • Data journalism in Spain and Austria

    Open Access•Alba Córdoba-Cabús, B Huber et al.•El Profesional de la Informacion•2023

  • Periodistas de datos. Análisis del perfil sociodemográfico del profesional en España y Latinoamérica

    Open Access•Félix Arias Robles, Miguel Carvajal Prieto•Estudios sobre el Mensaje…•2022

  • Out-of-the-box versus in-house tools

    Open Access•Mathias-Felipe De-Lima-Santos, Aljosha Karim Schapals et al.•Media International Australia•2021

Unique citing works10
Citations per year2
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 10
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae