TY - JOUR
T1 - Data-driven journalism based on big data analytics
T2 - A model development from Indonesia's experience
AU - Hidayat, Z.
AU - Hidayat, Debra
N1 - Publisher Copyright:
© 2020 Amity University.
PY - 2020/6/1
Y1 - 2020/6/1
N2 - This study aims to analyze the understanding and practice of data-driven journalism in Indonesia using big data analytics in media institutions such as data infrastructure availability, data structuring, data deepening, enrichment, presenting in the media, resource development, and management, and develop the model of data-driven journalism. The qualitative approach is used by in-depth interviews with 45 participants from media leaders, journalists, vloggers, and audiences. Besides, contents analyses are conducted on 48 samples of various media series along one year. The results showed that big data analytics was conducted for data-driven journalism step by step at national and local media in Indonesia. However, the knowledge and understanding of big data analytics and data-driven journalism in the newsroom and research supporters are still not adequate for both policy and technology. This study suggests the model development of the data-driven journalism process from Indonesia's experience and has managerial implications on empowering data-driven journalism in Indonesia.
AB - This study aims to analyze the understanding and practice of data-driven journalism in Indonesia using big data analytics in media institutions such as data infrastructure availability, data structuring, data deepening, enrichment, presenting in the media, resource development, and management, and develop the model of data-driven journalism. The qualitative approach is used by in-depth interviews with 45 participants from media leaders, journalists, vloggers, and audiences. Besides, contents analyses are conducted on 48 samples of various media series along one year. The results showed that big data analytics was conducted for data-driven journalism step by step at national and local media in Indonesia. However, the knowledge and understanding of big data analytics and data-driven journalism in the newsroom and research supporters are still not adequate for both policy and technology. This study suggests the model development of the data-driven journalism process from Indonesia's experience and has managerial implications on empowering data-driven journalism in Indonesia.
KW - Big data analytics
KW - Data-driven journalism
KW - Indonesian media newsroom
UR - http://www.scopus.com/inward/record.url?scp=85088529021&partnerID=8YFLogxK
U2 - 10.31620/JCCC.06.20/06
DO - 10.31620/JCCC.06.20/06
M3 - Article
AN - SCOPUS:85088529021
SN - 2395-7514
VL - 10
SP - 65
EP - 83
JO - Journal of Content, Community and Communication
JF - Journal of Content, Community and Communication
IS - 6
ER -