Data circulation between statistics agencies and journalists

Authors

DOI:

https://doi.org/10.59490/dgo.2025.1042

Keywords:

Data circulation, official statistics, journalism, data dissemination, Open Government Data, OGD, data literacy, journalistic role performance, framing

Abstract

This study investigates how data circulate between statistics agencies and journalists, with particular attention to the role of dissemination strategies—especially press releases—in shaping news production. While much of the literature addresses data production and use, the dynamics of data circulation remain understudied. Drawing on a case study of the statistical agency of the state of São Paulo (SEADE) in Brazil, the paper analyzes all news articles published in 2024 that referenced SEADE data. Articles were categorized according to the level of influence of press releases: full reproductions (verbatim replication), value-added reproductions (with complementary analysis or context), or organically produced (independent of any press release). These were examined through the lenses of framing theory and journalistic role performance approach. Results show that 70% of the news articles were influenced by press releases, with a significant presence of the Loyal-Facilitator dimension, particularly in government-issued releases. National outlets were more likely to produce organic content, while local media— despite showing higher demand for statistical information—relied more heavily on press releases to produce their coverage. Thematic focus also varied: national journalists prioritized economic indicators, while local outlets focused more on labor statistics. The study also found that articles based on SEADE press releases more frequently incorporated added value, while those based on government releases were more likely to be reproduced verbatim. These patterns may indicate structural constraints, particularly in local newsrooms, and varying levels of data literacy among journalists. By mapping how official statistics circulate in the media ecosystem, the research highlights the importance of hybrid, user-centered dissemination strategies that combine traditional tools like press releases with open government data practices. Such approaches can broaden the reach and enhance the relevance of official statistics in journalism and public discourse. By demonstrating how a better understanding of data circulation helps statistical agencies tailor their dissemination practices, this study contributes to the Open Government Data literature and highlights how user-centered strategies can foster more meaningful and critical engagement with official data.

Downloads

Download data is not yet available.

References

Appelgren, E., Lindén, C.-G., & van Dalen, A. (2019). Data Journalism Research: Studying a Maturing Field across Journalistic Cultures, Media Markets and Political Environments. Digital Journalism, 7(9), 1191–1199. https://doi.org/10.1080/21670811.2019.1685899

Attard, J., Orlandi, F., Scerri, S., & Auer, S. (2015). A systematic review of open government data initiatives. Government Information Quarterly, 32(4), 399–418. https://doi.org/10.1016/j.giq.2015.07.006

Beer, D. (2016). Metric Power. Palgrave Macmillan UK. https://doi.org/10.1057/978-1-137-55649-3

Begany, G. M., Martin, E. G., & Yuan, X. (Jenny). (2021). Open government data portals: Predictors of site engagement among early users of Health Data NY. Government Information Quarterly, 38(4), 101614. https://doi.org/10.1016/j.giq.2021.101614

Bradshaw, P. (2011). The Online Journalism Handbook: Skills to survive and thrive in the digital age (1st edition). Routledge.

Carmi, E., & Yates, S. J. (2020). What do digital inclusion and data literacy mean today? Internet Policy Review, 9(2). [link]

Cinnamon, J. (2020). Data inequalities and why they matter for development. Information Technology for Development, 26(2), 214–233. https://doi.org/10.1080/02681102.2019.1650244

Citro, C. (2014). From multiple modes for surveys to multiple data sources for estimates. Survey Methodology, 40, 137–161.

Craveiro, G., Albano, C. S., & Soletto, J. S. (2023). Demand for open government data: A study using data from the brazilian ministry of health, before and during the Covid-19 pandemic. Cadernos Gestão Pública e Cidadania, 28, e88602. https://doi.org/10.12660/cgpc.v28.88602.84529

Cushion, S., Lewis, J., & Callaghan, R. (2017). Data Journalism, Impartiality And Statistical Claims. Journalism Practice, 11(10), 1198–1215. https://doi.org/10.1080/17512786.2016.1256789

Entman, R. M. (1993). Framing: Toward Clarification of a Fractured Paradigm. Journal of Communication, 43(4), 51–58. https://doi.org/10.1111/j.1460-2466.1993.tb01304.x

Gascó-Hernández, M., Martin, E. G., Reggi, L., Pyo, S., & Luna-Reyes, L. F. (2018). Promoting the use of open government data: Cases of training and engagement. Government Information Quarterly, 35(2), 233–242. https://doi.org/10.1016/j.giq.2018.01.003

Helsper, E. (2021). The Digital Disconnect: The Social Causes and Consequences of Digital Inequalities (1a edição). Sage Publications Ltd.

Kitchin, R. (2014). The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. SAGE Publications Ltd. https://doi.org/10.4135/9781473909472

Knight, M. (2015). Data journalism in the UK: A preliminary analysis of form and content. Journal of Media Practice, 16(1), 55–72. https://doi.org/10.1080/14682753.2015.1015801

Laaboudi, C., Karlberg, M., & Islam, M. (2024). Open data dissemination at Eurostat: State of the art. Statistical Journal of the IAOS, 40(1), 81–90. https://doi.org/10.3233/SJI-230115

Lee, S. T., & Basnyat, I. (2013). From Press Release to News: Mapping the Framing of the 2009 H1N1 A Influenza Pandemic. Health Communication, 28(2), 119–132. https://doi.org/10.1080/10410236.2012.658550

Lewis, N. P., & Nashmi, E. A. (2019). Data Journalism in the Arab Region: Role Conflict Exposed. Digital Journalism, 7(9), 1200–1214. https://doi.org/10.1080/21670811.2019.1617041

Lourenço, R. P. (2015). An analysis of open government portals: A perspective of transparency for accountability. Government Information Quarterly, 32(3), 323–332. https://doi.org/10.1016/j.giq.2015.05.006

Mayer-Schonberger, V., & Cukier, K. (2014). Big Data: A Revolution That Will Transform How We Live, Work, and Think (Reprint edição). Eamon Dolan/Houghton Mifflin Harcourt.

Mellado, C. (2015). Professional Roles in News Content: Six dimensions of journalistic role performance. Journalism Studies, 16(4), 596–614. https://doi.org/10.1080/1461670X.2014.922276

Misra, A., Jütting, J., & Kuonen, D. (2021). Advancing data literacy in the post-pandemic world—A primer to catalyse policy dialogue and action (p. 24) [White paper]. The Partnership in Statistics for Development in the 21st Century (PARIS21). [link]

Misra, A., Ranjan, R., Rudow, C., & Swanson, E. (2021). Data dissemination in the digital age: A review of data portals for official statistics in IDA-eligible countries (p. 72) [White paper]. Partnership in Statistics for Development in the 21st Century (PARIS21), Open Data Watch (ODW). [link]

OECD. (2019). The Path to Becoming a Data-Driven Public Sector. OECD. https://doi.org/10.1787/059814a7-en

Pappas, I. O., Mikalef, P., Giannakos, M. N., Krogstie, J., & Lekakos, G. (2018). Big data and business analytics ecosystems: Paving the way towards digital transformation and sustainable societies. Information Systems and EBusiness Management, 16(3), 479–491. https://doi.org/10.1007/s10257-018-0377-z

Piattoeva, N., Centeno, V. G., Suominen, O., & Rinne, R. (2018). Governance by data circulation? The production, availability, and use of national large-scale assessment. In Politics of Quality in Education. Routledge.

Porto de Albuquerque, J., Anderson, L., Calvillo, N., Cattino, M., Clarke, A., Cunha, M. A., Degrossi, L. C., Garde-Hansen, J., Klonner, C., Lima-Silva, F., Marchezini, V., Martins, M. H. da M., Pajarito Grajales, D., Pitidis, V., Rizwan, M., Tkacz, N., & Trajber, R. (2023). Dialogic data innovations for sustainability transformations and flood resilience: The case for waterproofing data. Global Environmental Change, 82, 102730. https://doi.org/10.1016/j.gloenvcha.2023.102730

Porto de Albuquerque, J., Anderson, L., Calvillo, N., Coaffee, J., Cunha, M. A., Degrossi, L. C., Dolif, G., Horita, F., Klonner, C., Lima-Silva, F., Marchezini, V., Martins, M. H. da M., Pajarito-Grajales, D., Pitidis, V., Rudorff, C., Tkacz, N., Traijber, R., & Zipf, A. (2021). The role of data in transformations to sustainability: A critical research agenda. Current Opinion in Environmental Sustainability, 49, 153–163. https://doi.org/10.1016/j.cosust.2021.06.009

Rogers, S. (2013). Facts are Sacred (Main edition). Faber & Faber.

Scheerder, A., van Deursen, A., & van Dijk, J. (2017). Determinants of Internet skills, uses and outcomes. A systematic review of the second- and third-level digital divide. Telematics and Informatics, 34(8), 1607–1624. https://doi.org/10.1016/j.tele.2017.07.007

Scheufele, D. A., & Lewenstein, B. V. (2005). The Public and Nanotechnology: How Citizens Make Sense of Emerging Technologies. Journal of Nanoparticle Research, 7(6), 659–667. https://doi.org/10.1007/s11051-005-7526-2

Scheufele, D. A., & Tewksbury, D. (2007). Framing, agenda setting, and priming: The evolution of three media effects models. Journal of Communication, 57(1), 9–20. https://doi.org/10.1111/j.0021-9916.2007.00326.x

Senra, N. C. (1994). Por uma disseminação democrática de informações. São Paulo em Perspectiva, 8(4), 40–45. Shoemaker, P. J., & Vos, T. (2009). Gatekeeping Theory. Routledge. https://doi.org/10.4324/9780203931653

Signorelli, S., Fontana, M., Gabrielli, L., & Vespe, M. (2023). Challenges and Opportunities of Computational Social Science for Official Statistics. In Handbook of Computational Social Science for Policy (p. XXI, 490). Springer Cham. [link]

Torres-Freire, C. (2021). Tecnologia, dados e novas possibilidades para a pesquisa social. In Mosaico de olhares: Pesquisa e futuro (p. 344). Sesc SP.

Tygel, A., & Kirsch, R. (2016). Contributions of Paulo Freire for a Critical Data Literacy: A Popular Education Approach. The Journal of Community Informatics, 12. https://doi.org/10.15353/joci.v12i3.3279

United Nations Statistics Division. (2013, July 24). Fundamental Principles of Official Statistics. [link]

Downloads

Published

2025-05-26

How to Cite

Kadouaki, R. (2025). Data circulation between statistics agencies and journalists. Conference on Digital Government Research, 26. https://doi.org/10.59490/dgo.2025.1042

Conference Proceedings Volume

Section

Research papers