Data Visualisations: Newsroom Trends and Everyday Engagements

Helen Kennedy; William Allen; Martin Engebretsen; Rosemary Lucy Hill; Andy Kirk; Wibke Weber

Data Visualisations: Newsroom Trends and Everyday Engagements

Helen Kennedy, William Allen, Martin Engebretsen, Rosemary Lucy Hill, Andy Kirk, Wibke Weber

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter looks at both the production of data visualizations (henceforth “dataviz”) in newsrooms and audiences’ everyday engagements with dataviz, drawing on two separate research projects. The first is Seeing Data, which explored how people make sense of data visualizations, and the second is INDVIL, which explored dataviz as a semiotic, aesthetic and discursive resource in society.1 The chapter starts by summarizing the main findings of an INDVIL sub-project focusing on dataviz in the news, in which we found that dataviz are perceived in diverse ways and deployed for diverse purposes. It then summarizes our main findings from Seeing Data2, where we also found great diversity, this time in how audiences make sense of dataviz. This diversity is important for the future work of both dataviz researchers and practitioners.

Original language	English
Title of host publication	The Data Journalism Handbook 2
Subtitle of host publication	Towards a Critical Data Practice
Editors	Liliana Bounegru, Jonathan Gray
Publisher	Amsterdam University Press
Chapter	24
Pages	162-173
Number of pages	12
ISBN (Print)	9789462989511
Publication status	Published - 23 Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.jstor.org/stable/j.ctv1qr6smr.27#metadata_info_tab_contentsLicence: CC BY-SA

Cite this

@inbook{10963c67e4de44cf9b61af8ecea83b64,

title = "Data Visualisations: Newsroom Trends and Everyday Engagements",

abstract = "This chapter looks at both the production of data visualizations (henceforth “dataviz”) in newsrooms and audiences{\textquoteright} everyday engagements with dataviz, drawing on two separate research projects. The first is Seeing Data, which explored how people make sense of data visualizations, and the second is INDVIL, which explored dataviz as a semiotic, aesthetic and discursive resource in society.1 The chapter starts by summarizing the main findings of an INDVIL sub-project focusing on dataviz in the news, in which we found that dataviz are perceived in diverse ways and deployed for diverse purposes. It then summarizes our main findings from Seeing Data2, where we also found great diversity, this time in how audiences make sense of dataviz. This diversity is important for the future work of both dataviz researchers and practitioners.",

keywords = "data visualizations, Seeing Data, INDVIL, dataviz, Data Journalism",

author = "Helen Kennedy and William Allen and Martin Engebretsen and Hill, {Rosemary Lucy} and Andy Kirk and Wibke Weber",

year = "2021",

month = mar,

day = "23",

language = "English",

isbn = "9789462989511",

pages = "162--173",

editor = "Liliana Bounegru and Jonathan Gray",

booktitle = "The Data Journalism Handbook 2",

publisher = "Amsterdam University Press",

address = "Netherlands",

}

TY - CHAP

T1 - Data Visualisations

T2 - Newsroom Trends and Everyday Engagements

AU - Kennedy, Helen

AU - Allen, William

AU - Engebretsen, Martin

AU - Hill, Rosemary Lucy

AU - Kirk, Andy

AU - Weber, Wibke

PY - 2021/3/23

Y1 - 2021/3/23

N2 - This chapter looks at both the production of data visualizations (henceforth “dataviz”) in newsrooms and audiences’ everyday engagements with dataviz, drawing on two separate research projects. The first is Seeing Data, which explored how people make sense of data visualizations, and the second is INDVIL, which explored dataviz as a semiotic, aesthetic and discursive resource in society.1 The chapter starts by summarizing the main findings of an INDVIL sub-project focusing on dataviz in the news, in which we found that dataviz are perceived in diverse ways and deployed for diverse purposes. It then summarizes our main findings from Seeing Data2, where we also found great diversity, this time in how audiences make sense of dataviz. This diversity is important for the future work of both dataviz researchers and practitioners.

AB - This chapter looks at both the production of data visualizations (henceforth “dataviz”) in newsrooms and audiences’ everyday engagements with dataviz, drawing on two separate research projects. The first is Seeing Data, which explored how people make sense of data visualizations, and the second is INDVIL, which explored dataviz as a semiotic, aesthetic and discursive resource in society.1 The chapter starts by summarizing the main findings of an INDVIL sub-project focusing on dataviz in the news, in which we found that dataviz are perceived in diverse ways and deployed for diverse purposes. It then summarizes our main findings from Seeing Data2, where we also found great diversity, this time in how audiences make sense of dataviz. This diversity is important for the future work of both dataviz researchers and practitioners.

KW - data visualizations

KW - Seeing Data

KW - INDVIL

KW - dataviz

KW - Data Journalism

UR - https://www.aup.nl/en/book/9789462989511/the-data-journalism-handbook

M3 - Chapter

SN - 9789462989511

SP - 162

EP - 173

BT - The Data Journalism Handbook 2

A2 - Bounegru, Liliana

A2 - Gray, Jonathan

PB - Amsterdam University Press

ER -

Data Visualisations: Newsroom Trends and Everyday Engagements

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this