In this talk is offer three challenges for a critical data journalism practice drawing on the insights and examples from The Data Journalism Handbook: Towards a Critical Data Practice: https://www.aup.nl/en/book/9789462989511/the-data-journalism-handbook. The talk is a keynote given at the Digital Methods Initiative Summer School at the University of Amsterdam on 5 July 2021.
Journalism, data and storytelling: navigating the battlefieldPaul Bradshaw
Data journalism promises to offer a more factual, objective picture of the world — but to what extent can we fulfil that promise? How can storytelling techniques be useful in engaging audiences with factual data — and what risks do they hold? Drawing on a decade’s experiences as a data journalist, academic and author, Paul Bradshaw will discuss the decisions that data journalists take when telling stories with data, and how an awareness of narrative techniques and critical issues in the field can create better journalism.
Keynote at University of Cambridge - Cambridge Digital Humanities Data School June 2019
Journalism, data and storytelling: navigating the battlefieldPaul Bradshaw
Data journalism promises to offer a more factual, objective picture of the world — but to what extent can we fulfil that promise? How can storytelling techniques be useful in engaging audiences with factual data — and what risks do they hold? Drawing on a decade’s experiences as a data journalist, academic and author, Paul Bradshaw will discuss the decisions that data journalists take when telling stories with data, and how an awareness of narrative techniques and critical issues in the field can create better journalism.
Keynote at University of Cambridge - Cambridge Digital Humanities Data School June 2019
Data! Action! Data journalism issues to watch in the next 10 yearsPaul Bradshaw
Keynote at the Nordic data journalism conference #NODA16 - an outline of issues facing data journalism which journalists and academics need to focus on in the next decade.
Storytelling in the database era: uncertainty and science reportingPaul Bradshaw
Presentation at the Humboldt Foundation's International Journalists' Programmes 2020 about the changes within journalism around using interactivity for telling stories, and communicating uncertainty. The slides also include recommendations around avoiding mistakes.
Data Journalism lecture - Week 1: Introduction to Data Journalism
Lecture date: 9 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
At Data Journalism UK 2016 Andy Dickinson provided an insight into the ways that data journalism is being used at a hyperlocal level. Here are his slides.
Journalists today are faced with an overwhelming abundance of data – from large collections of leaked documents, to public databases about lobbying or government spending, to ‘big data’ from social networks such as Twitter and Facebook. To stay relevant to society journalists are learning to process this data and separate signal from noise in order to provide valuable insights to their readers. This talk will address questions like: What is the potential of data journalism? Why is it relevant to society? And how can you get started?
A presentation for the Tow Center for Digital Journalism at Columbia University. Full report available at: http://towcenter.org/wp-content/uploads/2014/05/Tow-Center-Data-Driven-Journalism.pdf
Data Journalism and the Remaking of Data InfrastructuresLiliana Bounegru
Talk given at the “Evidence and the Politics of Policymaking” Conference, University of Bath, 14th September 2016, on the basis of my PhD research at the University of Groningen and University of Ghent.
http://www.bath.ac.uk/ipr/events/news-0230.html.
Talk on fake news as digital culture given at the Institute for Policy Research symposium on Politics, Fake News and the Post-Truth Era, University of Bath, 14 September 2017.
More about the talk here: http://lilianabounegru.org/2017/09/23/fake-news-in-digital-culture-at-2017-institute-for-policy-research-symposium/
More about the event here: http://www.bath.ac.uk/events/politics-fake-news-and-the-post-truth-era/
Doing Social and Political Research in a Digital Age: An Introduction to Digi...Liliana Bounegru
Lecture given at the National Center of Competence in Research: Challenges to Democracy in the 21st Century, 5 November 2015, Zürich University, Zürich, Switzerland
Fake News, Algorithmic Accountability and the Role of Data Journalism in the ...Liliana Bounegru
Talk given at the workshop 'How Can Public Interest Journalism Hold Algorithms to Account?' at the University of Cambridge on 23 March 2017.
More about the talk can be found here: http://lilianabounegru.org/2017/03/27/fake-news-algorithmic-accountability-data-journalism-post-truth-university-of-cambridge/
More about the workshop can be found here: http://www.crassh.cam.ac.uk/events/27130
Data! Action! Data journalism issues to watch in the next 10 yearsPaul Bradshaw
Keynote at the Nordic data journalism conference #NODA16 - an outline of issues facing data journalism which journalists and academics need to focus on in the next decade.
Storytelling in the database era: uncertainty and science reportingPaul Bradshaw
Presentation at the Humboldt Foundation's International Journalists' Programmes 2020 about the changes within journalism around using interactivity for telling stories, and communicating uncertainty. The slides also include recommendations around avoiding mistakes.
Data Journalism lecture - Week 1: Introduction to Data Journalism
Lecture date: 9 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
At Data Journalism UK 2016 Andy Dickinson provided an insight into the ways that data journalism is being used at a hyperlocal level. Here are his slides.
Journalists today are faced with an overwhelming abundance of data – from large collections of leaked documents, to public databases about lobbying or government spending, to ‘big data’ from social networks such as Twitter and Facebook. To stay relevant to society journalists are learning to process this data and separate signal from noise in order to provide valuable insights to their readers. This talk will address questions like: What is the potential of data journalism? Why is it relevant to society? And how can you get started?
A presentation for the Tow Center for Digital Journalism at Columbia University. Full report available at: http://towcenter.org/wp-content/uploads/2014/05/Tow-Center-Data-Driven-Journalism.pdf
Data Journalism and the Remaking of Data InfrastructuresLiliana Bounegru
Talk given at the “Evidence and the Politics of Policymaking” Conference, University of Bath, 14th September 2016, on the basis of my PhD research at the University of Groningen and University of Ghent.
http://www.bath.ac.uk/ipr/events/news-0230.html.
Talk on fake news as digital culture given at the Institute for Policy Research symposium on Politics, Fake News and the Post-Truth Era, University of Bath, 14 September 2017.
More about the talk here: http://lilianabounegru.org/2017/09/23/fake-news-in-digital-culture-at-2017-institute-for-policy-research-symposium/
More about the event here: http://www.bath.ac.uk/events/politics-fake-news-and-the-post-truth-era/
Doing Social and Political Research in a Digital Age: An Introduction to Digi...Liliana Bounegru
Lecture given at the National Center of Competence in Research: Challenges to Democracy in the 21st Century, 5 November 2015, Zürich University, Zürich, Switzerland
Fake News, Algorithmic Accountability and the Role of Data Journalism in the ...Liliana Bounegru
Talk given at the workshop 'How Can Public Interest Journalism Hold Algorithms to Account?' at the University of Cambridge on 23 March 2017.
More about the talk can be found here: http://lilianabounegru.org/2017/03/27/fake-news-algorithmic-accountability-data-journalism-post-truth-university-of-cambridge/
More about the workshop can be found here: http://www.crassh.cam.ac.uk/events/27130
This is an invited talk I presented at the University of Zurich, speakers' series 2.10.2017. The presentation is based on the following paper: Brandtzaeg, P. B., & Følstad, A. (2017). Trust and distrust in online fact-checking services. Communications of the ACM. 60(9): 65-71
What Actor-Network Theory (ANT) and digital methods can do for data journalis...Liliana Bounegru
Slides from a talk I gave at the University of Ghent on 21 October 2014 about how Actor-Network Theory (ANT) and digital methods can be used to study and inform data journalism.
These are my slides for a presentation to the CFUW Ontario Council for a workshop aimed at exploring political discourse in an age of misinformation/how to navigate information with a critical eye leading up to the Ontario election. More on the event available here http://cfuwontcouncil.org/standing-committees/
What Data Can Do: A Typology of Mechanisms
Angèle Christin .
International Journal of Communication > Vol 14 (2020) , de Angèle Christin del Departamento de Comunicación de Stanford University, USA titulado "What Data Can Do: A Typology of Mechanisms". Entre otras cosas es autora del libro "Metrics at Work.
The Politics of Open Data: Past, Present and FutureJonathan Gray
Slides for presentation on “The Politics of Open Data: Past, Present and Future” at the Data Power conference at the University of Sheffield, 22nd June 2015.
A Field Guide to Fake News Launch at the International Journalism Festival 2017Liliana Bounegru
Slides from a presentation of the Field Guide to Fake News given by myself, Jonathan Gray, Michele Mauri and Angeles Briones at the launch event which took place on 7 April 2017 at the International Journalism Festival in Perugia.
More about the launch event can be found here: http://lilianabounegru.org/2017/04/07/a-field-guide-to-fake-news-launch-international-journalism-festival-perugia/
The field guide can be accessed at: https://fakenews.publicdatalab.org/
Doing Digital Methods: Some Recent Highlights from Winter and Summer SchoolsLiliana Bounegru
Talk given at the Digital Methods Winter School 2017 at the University of Amsterdam. It presents a selection of projects developed at the 2016 Digital Methods Winter and Summer Schools (www.digitalmethods.net).
Journalism in an Age of Big Data: What It Is, Why It Matters and Where to StartLiliana Bounegru
Invited lecture and workshop at the European University Institute Boot Camp for Journalists: Tools for Better Reporting, Florence, Italy, 10 June 2014.
Data Infrastructure Literacy: Reshaping Practices of Measurement, Monitoring ...Liliana Bounegru
Conference paper given at 4S/EASST Conference Barcelona 2016, Spain, 2 September 2016, with Jonathan Gray and Carolin Gerlitz. http://www.sts2016bcn.org/
Invited talk at the Data.Journalism! Conference, Vienna, 14 June 2012, PICNIC Festival, Amsterdam, 16 September 2012 and the Mozilla Festival in London, 9 November 2012.
Paper given at the Conference of the Digital Methods Winter School, University of Amsterdam, Netherlands, 14 January 2016, with Jonathan Gray and Carolin Gerlitz.
Sourcing Practices in Data Journalism at The New York Times, The Guardian and...Liliana Bounegru
Talk at the Right to Information and Transparency in the Digital Age: Policy, Tools and Practices Conference, Center on Democracy, Development, and the Rule of Law, Stanford University, 12 March 2013.
What Can Data Journalists and Digital Researchers Learn from Each Other?Liliana Bounegru
Talk given with Jonathan Gray at the Digital Humanities + Data Journalism Symposium at the University of Miami on 30 September 2016. http://dhdj.com.miami.edu/
GitHub as Transparency Device in Data Journalism, Open Data and Data ActivismLiliana Bounegru
Slides from presentation of research agenda around uses of GitHub in journalism at the Digital Methods Summer School 2015. More details here: http://lilianabounegru.org/2015/07/08/github-as-transparency-device-in-data-journalism-open-data-and-data-activism/
These slides are by Steve Doig, journalism professor at ASU's Cronkite School and Pulitzer-winning journalist. The slides are from Doig's workshop Excel for Journalists, part of the School of Data Journalism 2013 at the International Journalism Festival, Perugia.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Francesca Gottschalk - How can education support child empowerment.pptx
Towards a critical data journalism practice
1. Towards a critical data journalism practice
Liliana Bounegru
@bb_liliana / lilianabounegru.org
Lecturer in Digital Methods
King’s College London
2.
3.
4.
5.
6. “Across the world journalists were discovering new ways to work by telling
data-led stories in innovative ways. … This should not be seen as an isolated
development within the field of journalism. These were just the effects of
huge developments in international transparency beyond the setting up of
open data portals. … They also included increased access to powerful free
data visualization and cleaning tools, such as OpenRefine, Google Fusion
Tables, Many Eyes, Datawrapper, Tableau Public and more. Those free tools
combined with access to a lot of free public data facilitated the production
of more and more public-facing visualizations and data projects.”
– Rogers, Simon. 2021. “From The Guardian to Google News Lab: A Decade of Working
in Data Journalism.” The Data Journalism Handbook: Towards A Critical Data Practice.
10. 1. Make stories both with and about data
2. Align with marginalised issues and actors
3. Cultivate reflexive ways of telling
11. 1. Make stories both with and about data
2. Align with marginalised issues and actors
3. Cultivate reflexive ways of telling
12. “… the crucial role of data journalists as users and
critics of data.”
– Emmanuel Didier, Ecole normale supérieure; author of America by the Numbers:
Quantification, Democracy, and the Birth of National Statistics
13. “Taking a feminist approach to data journalism means
tuning in to the ways in which inequality enters
databases and algorithms, as well as developing
strategies to mitigate those biases.”
–D’Ignazio, Catherine. 2021. “Data Journalism: What’s Feminism Got to Do With
I.T.?” The Data Journalism Handbook: Towards A Critical Data Practice.
14. “… data journalism can serve not just to reinforce and
reify dominant regimes of datafication – or ways of
rendering life into data (van Dijck, 2014) – but also to
interrogate them and make space for public
involvement and intervention around data
infrastructures.”
– Gray, J., & Bounegru, L. (2019). What a difference a dataset makes? Data journalism
and/as data activism. In J. Evans, S. Ruane, & H. Southall (Eds.), Data in Society:
Challenging Statistics in an Age of Globalisation.
16. “… a re-orientation of the traditional watchdog
function of journalism towards the power wielded
through algorithms (Diakopoulos, 2015).”
–Diakopoulos, Nicholas. 2021. “The Algorithms Beat: Angles and Methods for
Investigation.” The Data Journalism Handbook: Towards A Critical Data Practice.
17.
18.
19. “… at least four driving forces … appear to underlie
many algorithmic accountability stories: (a)
discrimination and unfairness, (b) errors or mistakes in
predictions or classifications, (c) legal or social norm
violations, and (d) misuse of algorithms by people
either intentionally or inadvertently.”
–Diakopoulos, Nicholas. 2021. “The Algorithms Beat: Angles and Methods for
Investigation.” The Data Journalism Handbook: Towards A Critical Data Practice.
22. “… There are consequences to having very few actors running
such platforms and large numbers of journalists depending on
them in the cross-border journalism realm. One of these could
be understood as what in the landscape of ‘big tech’ has been
called a 'hyper-modern form of feudalism’ based on data
ownership (Morozov, 2016). This concept draws attention to
how total control of users’ data and interactions is placed in the
hands of a few companies who face no competition.”
– Cândea, Ştefan. 2021 “Data Feudalism: How Platforms Shape Cross-Border
Investigative Networks.” The Data Journalism Handbook: Towards A Critical Data
Practice.
23.
24. How can data journalism projects tell stories both with and about data
including the various actors, processes, institutions, infrastructures and forms of
knowledge through which data is made?
How can data journalism projects account for the collective character of digital
data, platforms, algorithms and online devices, including the interplay
between digital technologies and digital cultures?
How can data journalism projects cultivate their own ways of making things
intelligible, meaningful and relatable through data, without simply uncritically
advancing the ways of knowing “baked into” data from dominant institutions,
infrastructures and practices?
1. Make stories both with and about data
25. 1. Make stories both with and about data
2. Align with marginalised issues and actors
3. Cultivate reflexive ways of telling
27. “… the role of journalism in maintaining social orders
that support state aims and goals and structures and
ideologies such as patriarchy, settler colonialism and
White supremacy (Callison & Young, 2020).”
– Young, Mary Lynn, and Candis Callison. 2021. “Data Journalism: In Whose
Interests?” The Data Journalism Handbook: Towards A Critical Data Practice.
28. “Indigenous peoples have also been subject to contending with
extensive anthropological and government archives and
consistent media misrepresentations and stereotypes (Anderson
& Robertson, 2011) in the service of varied forms and histories
of settler colonialism (Tuck & Yang, 2012; Wolfe, 2006). Hence,
the stakes for data journalism specifically as an extension of
notions of machine-based objectivity are profound.”
– Young, Mary Lynn, and Candis Callison. 2021. “Data Journalism: In Whose
Interests?” The Data Journalism Handbook: Towards A Critical Data Practice.
29. “Walter (2016) has termed these data 5D data: Data that focus
on Difference, Disparity, Disadvantage, Dysfunction and
Deprivation.”
– Kukutai, Tahu, and Maggie Walter. 2021. “Indigenous Data Sovereignty: Implications
for Data Journalism.” The Data Journalism Handbook: Towards A Critical Data Practice.
30. “Indigenous data deserts”
– Kukutai, Tahu, and Maggie Walter. 2021. “Indigenous Data Sovereignty: Implications
for Data Journalism.” The Data Journalism Handbook: Towards A Critical Data Practice.
31. “Laguna Pueblo journalist Jenni Monet (2020)
characterizes Indigenous communities in the United
States as ‘Asterisk nations,’ which are those for whom
no data exists.”
– Young, Mary Lynn, and Candis Callison. 2021. “Data Journalism: In Whose
Interests?” The Data Journalism Handbook: Towards A Critical Data Practice.
32. “… ID-SOV [Indigenous data sovereignty] as an
emerging site of science and activism.”
– Kukutai, Tahu, and Maggie Walter. 2021. “Indigenous Data Sovereignty: Implications
for Data Journalism.” The Data Journalism Handbook: Towards A Critical Data Practice.
33.
34. “ID-SOV research and networks … represent valuable
sources of data and data expertise that can inform
more equitable, critical and just approaches to
journalism involving Indigenous peoples and issues.”
– Kukutai, Tahu, and Maggie Walter. 2021. “Indigenous Data Sovereignty: Implications
for Data Journalism.” The Data Journalism Handbook: Towards A Critical Data Practice.
35.
36. – Ma, Yolanda Jinxin. 2021. “Alternative Data Practices in China.” The Data Journalism
Handbook: Towards A Critical Data Practice.
37. How can data journalism projects make space for public participation and
intervention in interrogating established data sources and re-imagining which
issues are accounted for through data, and how?
How can data journalism projects collaborate around transnational issues in
ways which avoid the logic of the platform and the colony, and affirm
innovations at the periphery?
How can data journalism support marginalized communities to use data to tell
their own stories on their own terms, rather than telling their stories for them?
2. Align with marginalised issues and actors
38. 1. Make stories both with and about data
2. Align with marginalised issues and actors
3. Cultivate reflexive ways of telling
39. “An empirically self-assured profession.”
– Anderson, C. W. 2021. “Genealogies of Data Journalism.” The Data Journalism
Handbook: Towards A Critical Data Practice.
40. “Epistemologically, there is an increasing belief
amongst computational journalists that digital facts in
some way ‘speak for themselves,’ or at least these
facts will do so when they have been properly
collected, sorted and cleaned.”
– Anderson, C. W. 2021. “Genealogies of Data Journalism.” The Data Journalism
Handbook: Towards A Critical Data Practice.
41. “ … [a genealogy of data journalism] would prompt a
useful form of critical self-reflexivity, one that might
help mitigate the (understandable and often well-
deserved) self-confidence of working data journalists
and reporters.”
– Anderson, C. W. 2021. “Genealogies of Data Journalism.” The Data Journalism
Handbook: Towards A Critical Data Practice.
43. “… journalism ought to rethink the means and
mechanisms by which it conveys its own provisionality
and uncertainty.”
– Anderson, C. W. 2021. “Genealogies of Data Journalism.” The Data Journalism
Handbook: Towards A Critical Data Practice.
44. “In particular, data journalists might think harder
about how to creatively represent uncertainty in their
empirical work.”
– Anderson, C. W. 2021. “Genealogies of Data Journalism.” The Data Journalism
Handbook: Towards A Critical Data Practice.
45. “As I started to do them [sketches with data] I had this realization that they could be quite an
effective way to communicate the uncertainty of data projects. They could remind people that a
human was responsible for making all of these design decisions.”
– Chalabi, Mona, and Jonathan Gray. 2021. “Sketching With Data.” The Data Journalism Handbook: Towards A
Critical Data Practice.
46. “It is not really perfect: To fit all of the rhinos in the scale is a little bit questionable I would say
… But it makes you feel something about the numbers. And it is also transparent about its
shortcomings. … When readers look at the illustrations of the endangered species they can
look at the rhinos and think, ‘It is a little bit off but I get it.’ They have access to that critique in
a way that they don’t with computer generated graphics.”
– Chalabi, Mona, and Jonathan Gray. 2021. “Sketching With Data.” The Data Journalism Handbook: Towards A
Critical Data Practice.
48. “Part of the beauty of data visualization is that it can make things feel more visceral.”
– Chalabi, Mona, and Jonathan Gray. 2021. “Sketching With Data.” The Data Journalism Handbook: Towards A
Critical Data Practice.
49. “… a major finding from our research was the
important role that emotions play in people’s
engagements with data visualizations.”
– Kennedy, Helen, et al. 2021. “Data Visualizations: Newsroom Trends and Everyday
Engagements.” The Data Journalism Handbook: Towards A Critical Data Practice.
50. “First, analytics dashboards have important emotional
dimensions that are too often overlooked. … The power and
appeal of metrics are significantly grounded in the data’s
ability to elicit particular feelings, such as excitement,
disappointment, validation and reassurance.”
– Petre, Caitlin. 2021. “Data-Driven Editorial?: Considerations for Working With
Audience Metrics.” The Data Journalism Handbook: Towards A Critical Data Practice.
51. “Chartbeat knew that this emotional valence was a powerful part of the dashboard’s appeal,
and the company included features to engender emotions in users. For instance, the dashboard
was designed to communicate deference to journalistic judgement, cushion the blow of low
traffic and provide opportunities for celebration in newsrooms.”
– Petre, Caitlin. 2021. “Data-Driven Editorial?: Considerations for Working With Audience Metrics.” The Data
Journalism Handbook: Towards A Critical Data Practice.
52. “As with every other communications medium,
leveraging emotion in data comes with ethical
responsibilities.”
– D’Ignazio, Catherine. 2021. “Data Journalism: What’s Feminism Got to Do With
I.T.?” The Data Journalism Handbook: Towards A Critical Data Practice.
54. “data journalists critical of digital universalist
frameworks should aim … to consciously diversify data
sources and decentre methods that would privilege
‘big data’ as the exclusive or most legitimate key to
mapping empirical events and social realities.”
– Chan, Anita Say. 2021. “Data Journalism, Digital Universalism and Innovation in the
Periphery.” The Data Journalism Handbook: Towards A Critical Data Practice.
55. “Moves towards a ‘decolonization of knowledge’ underscore
the significance of the diverse ways through which citizens and
researchers in the Global South are engaging in bottom-up
data practices. These practices leverage an emphasis on
community practices and human-centred means of assessing
and interpreting data—for social change, as well as speaking
for the resistances to uses of big data that increase oppression,
inequality and social harm.”
– Chan, Anita Say. 2021. “Data Journalism, Digital Universalism and Innovation in the
Periphery.” The Data Journalism Handbook: Towards A Critical Data Practice.
56. “Data journalists critical of digital universalism’s new extensions
in data universalism should take heart to find allies and
resonant concerns for developing accountable and responsible
data practices with scholars in critical data studies, algorithm
studies, software and platform studies, and postcolonial
computing.”
– Chan, Anita Say. 2021. “Data Journalism, Digital Universalism and Innovation in the
Periphery.” The Data Journalism Handbook: Towards A Critical Data Practice.
57. – Muñoz, Eliana A. Vaca. 2021. “Organizing Data Projects With Women and Minorities
in Latin America.” The Data Journalism Handbook: Towards A Critical Data Practice.
58. How might data journalists cultivate and consciously affirm their own styles of working
with data, which may draw on, yet remain distinct from areas such as statistics, data
science and social media analytics?
How might data journalism develop a style of objectivity which affirms, rather than
minimizes, its own role in intervening in the world and in shaping relations between
different actors in collective life?
How can data journalism projects tell stories about big issues at scale (e.g., climate
change, inequality, multinational taxation, migration) while also affirming the
provisionality and acknowledging the models, assumptions and uncertainty involved
in the production of numbers?
3. Cultivate reflexive ways of telling
59. 1. Make stories both with and about data
2. Align with marginalised issues and actors
3. Cultivate reflexive ways of telling