SlideShare a Scribd company logo
1 of 10
Mathias Felipe de Lima-Santos, Aljosha Karim Schapals & Axel Bruns
Canberra, 5 July 2019
Out-of-the-box vs in-house tools:
How are they affecting data journalism in Australia?
Introduction
• Scholarly research into data journalism a growing field ever since The
Guardian’s launch of its Datablog (2009)
• Existing research focusses on its implementation in early-adopter
nations such as the United States, the United Kingdom, and the Nordic
countries (Parasie & Dagiral, 2013; Young & Hermida, 2015; Borges-
Rey, 2016; Appelgren & Nygren, 2014)
• Gap in literature:
 Australia as a case study significantly under-researched
 Lacking emphasis on out-of-the-box solutions deployed in data
journalism practice (e.g. Datawrapper, Infogram, Tableau) vs. tools
developed in-house: business models, limitations, opportunities +
production and archiving mechanisms (Broussard & Boss, 2018)
@aljoshakarim
Example
(ABC News, 2 July 2019)
Literature Review
• Data journalism as the union of programming and storytelling (Ojo & Heravi,
2018): deployment of third-party tools, seen as advantageous due to their off-
the-shelf functionalities which match a need that would otherwise require a
special programming effort (Nordheim & Päivärinta, 2006)
• Challenging digital preservation efforts (Rosenzweig, 2003; Hansen & Paul,
2015): unless maintained by the content proprietor, restrictive archiving
mechanisms in place (Weber & Napoli, 2018)  data loss incurring, specifically
in relation to multimedia elements
• Challenging business model: third-party platforms operating on a ‘freemium’
model, working on the assumption that subscription to advanced versions
occurs in the long-run (Xu et al., 2017)  sustainable in light of a resource-
depleted industry?
 Example: Datawrapper – allowing access to produced visualisations for only a
limited number of users  move to in-house solutions?
@aljoshakarim
Methodology
• Mixed-methods approach:
(1) Close reading of n = 299 data journalism stories retrieved during January 2017 and May 2018
across ABC News, Fairfax Media, The Guardian Australia, SBS, News Corp., and identify tools
used (cf. Ojo & Heravi, 2018)
(2) In-depth interviews with n = 18 journalists, designers and developers in May 2018 across above-
mentioned outlets, including Bloomberg and Small Multiples
(3) Online survey with n = 16 journalists, designers and developers in May 2019 across Australia
known to be working in the field of data journalism
 Subscription to Cision Media Database to identify relevant staff working in the field, further
supplemented by contacting relevant data journalists through LinkedIn and the Australian data
journalism Slack channel
 Questions asked include (1) limitations and opportunities of use of out-of-the-box vs. in-house
tools; (2) perceptions of archiving mechanisms currently deployed; and (3) future strategies
moving forward
@aljoshakarim
Findings: Extent of use
• Significant use of out-of-the-box solutions across 299 retrieved data journalism stories, especially
Carto, Datawrapper, MapBox and Tableau – only exception: The Guardian Australia – use of in-
house tools
• 94% of survey respondents say they currently deploy out-of-the-box tools, ease of use seen as
advantageous:
 “What I am seeing with a lot of these tools, like Tableau, is that they are becoming easier to
use, and a lot of producers have access to them” (developer).
 “Out-of-the-box solutions are limited in what they can do. In saying that, they can be very
useful if you can get the editorial team to use them as is” (developer).
• 88% of survey respondents already use (or intend to use) in-house tools in the future:
 “You’ve got to try and figure out what your mix is going to be between doing completely
bespoke stuff that takes a long time but you can make it do exactly what you want it to do or
settle for the tools that you’ve got that are more readily usable and quick to turn around. We
struggle with that mix all the time, and every story is different when we make those decisions on
a case-by-case basis” (developer).
@aljoshakarim
Findings: Archiving mechanisms
• Whilst ease-of-use seen as advantageous, technological
limitations (e.g. poor user experience, static graphics, limited
interactivity) of out-of-the-box tools perceived as problematic,
particularly regarding digital preservation:
 “We ran out of the space on the [budget] plan we had with
Carto and had to delete projects to get more space. Losing
dozens of maps wasn’t great” (developer).
 “[Google] Fusion Tables is being decommissioned, which is a
real disappointment as it will mean lots of maps and sheets
have created will probably break or be lost” (editor).
• 69% of survey respondents lacking any mechanism to ensure
digital preservation of data journalism stories using of out-of-the-
box solutions
@aljoshakarim
Findings: Moving forward
• Sole reliance on out-of-the-box tools in the long run seen as
unsustainable, strong preference voiced towards use of
in-house tools in the future
• Reason: ‘Freemium’ business model not fit for purpose +
range of technological limitations mentioned earlier:
 “The problem are third-party companies: they start out
free and then they change their business model – [and]
then we can’t afford to spend money on it. I mean,
sometimes we can, but we can just build our own chart
tool [instead], which means we wouldn’t ever have to pay
for it again” (editor).
@aljoshakarim
Discussion
• Public broadcasters (ABC, SBS) at the forefront of producing data journalism
stories, often with designated, in-house teams with the necessary skillsets
 Future research (1): newsroom observations (e.g. ABC Sydney, ABC
Brisbane with their ‘Digital Story innovations’ team) to gather how creative
collaborations in particularly diverse teams affect contemporary journalism
practice in Australia
• Contrary, heavy reliance by Fairfax Media on out-of-the-box solutions despite
concerns regarding limitations
• At the forefront of these limitations lie concerns regarding digital preservation,
and the resulting sense of a ‘lack of control’ if not maintained by the content
proprietor  feeling of ‘dependence’ / ‘reliance’ seen as not welcome
 Future research (2): analysis of digital preservation techniques (31%) and
how the longevity of data-intensive material can be secured in the years to
come
@aljoshakarim
Thank You!

More Related Content

Similar to Out-of-the-Box vs In-House Tools: How Are They Affecting Data Journalism in Australia?

Creating a new culture around authenticity and generative AI
Creating a new culture around authenticity and generative AICreating a new culture around authenticity and generative AI
Creating a new culture around authenticity and generative AICharles Darwin University
 
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final   compressedMinne analytics presentation 2018 12 03 final   compressed
Minne analytics presentation 2018 12 03 final compressedBonnie Holub
 
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final   compressedMinne analytics presentation 2018 12 03 final   compressed
Minne analytics presentation 2018 12 03 final compressedBonnie Holub
 
Hadoop and Big Data Readiness in Africa: A Case of Tanzania
Hadoop and Big Data Readiness in Africa: A Case of TanzaniaHadoop and Big Data Readiness in Africa: A Case of Tanzania
Hadoop and Big Data Readiness in Africa: A Case of Tanzaniaijsrd.com
 
New Data for Innovation Policy
New Data for Innovation PolicyNew Data for Innovation Policy
New Data for Innovation PolicyJuan Mateos-Garcia
 
Garcia - New data for innovation policy
Garcia - New data for innovation policyGarcia - New data for innovation policy
Garcia - New data for innovation policyinnovationoecd
 
Opportunities and methodological challenges of Big Data for official statist...
Opportunities and methodological challenges of  Big Data for official statist...Opportunities and methodological challenges of  Big Data for official statist...
Opportunities and methodological challenges of Big Data for official statist...Piet J.H. Daas
 
A Survey on Big Data Analytics
A Survey on Big Data AnalyticsA Survey on Big Data Analytics
A Survey on Big Data AnalyticsBHARATH KUMAR
 
Australia's Environmental Predictive Capability
Australia's Environmental Predictive CapabilityAustralia's Environmental Predictive Capability
Australia's Environmental Predictive CapabilityTERN Australia
 
Crowdsourcing: A Survey
Crowdsourcing: A SurveyCrowdsourcing: A Survey
Crowdsourcing: A SurveyIJERA Editor
 
Foresight by Online Communities - The Case of Renewable Energies
Foresight by Online Communities - The Case of Renewable EnergiesForesight by Online Communities - The Case of Renewable Energies
Foresight by Online Communities - The Case of Renewable EnergiesMichael Andreas Zeng
 
Data Center Computing for Data Science: an evolution of machines, middleware,...
Data Center Computing for Data Science: an evolution of machines, middleware,...Data Center Computing for Data Science: an evolution of machines, middleware,...
Data Center Computing for Data Science: an evolution of machines, middleware,...Paco Nathan
 
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...Geoffrey Fox
 
Collaborating Across Boundaries to Engage Journalism Students in Computationa...
Collaborating Across Boundaries to Engage Journalism Students in Computationa...Collaborating Across Boundaries to Engage Journalism Students in Computationa...
Collaborating Across Boundaries to Engage Journalism Students in Computationa...Kim Pearson
 
The profile of the management (data) scientist: Potential scenarios and skill...
The profile of the management (data) scientist: Potential scenarios and skill...The profile of the management (data) scientist: Potential scenarios and skill...
The profile of the management (data) scientist: Potential scenarios and skill...Juan Mateos-Garcia
 
DSSG Speaker Series: Paco Nathan
DSSG Speaker Series: Paco NathanDSSG Speaker Series: Paco Nathan
DSSG Speaker Series: Paco NathanPaco Nathan
 
Data Analytics in Industry Verticals, Data Analytics Lifecycle, Challenges of...
Data Analytics in Industry Verticals, Data Analytics Lifecycle, Challenges of...Data Analytics in Industry Verticals, Data Analytics Lifecycle, Challenges of...
Data Analytics in Industry Verticals, Data Analytics Lifecycle, Challenges of...Sahilakhurana
 
Digital History Projects as Boundary Objects
Digital History Projects as Boundary ObjectsDigital History Projects as Boundary Objects
Digital History Projects as Boundary ObjectsMaxKemman
 

Similar to Out-of-the-Box vs In-House Tools: How Are They Affecting Data Journalism in Australia? (20)

Creating a new culture around authenticity and generative AI
Creating a new culture around authenticity and generative AICreating a new culture around authenticity and generative AI
Creating a new culture around authenticity and generative AI
 
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final   compressedMinne analytics presentation 2018 12 03 final   compressed
Minne analytics presentation 2018 12 03 final compressed
 
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final   compressedMinne analytics presentation 2018 12 03 final   compressed
Minne analytics presentation 2018 12 03 final compressed
 
Big Data & DS Analytics for PAARL
Big Data & DS Analytics for PAARLBig Data & DS Analytics for PAARL
Big Data & DS Analytics for PAARL
 
Hadoop and Big Data Readiness in Africa: A Case of Tanzania
Hadoop and Big Data Readiness in Africa: A Case of TanzaniaHadoop and Big Data Readiness in Africa: A Case of Tanzania
Hadoop and Big Data Readiness in Africa: A Case of Tanzania
 
Toward supporting decision-making under uncertainty in digital humanities wit...
Toward supporting decision-making under uncertainty in digital humanities wit...Toward supporting decision-making under uncertainty in digital humanities wit...
Toward supporting decision-making under uncertainty in digital humanities wit...
 
New Data for Innovation Policy
New Data for Innovation PolicyNew Data for Innovation Policy
New Data for Innovation Policy
 
Garcia - New data for innovation policy
Garcia - New data for innovation policyGarcia - New data for innovation policy
Garcia - New data for innovation policy
 
Opportunities and methodological challenges of Big Data for official statist...
Opportunities and methodological challenges of  Big Data for official statist...Opportunities and methodological challenges of  Big Data for official statist...
Opportunities and methodological challenges of Big Data for official statist...
 
A Survey on Big Data Analytics
A Survey on Big Data AnalyticsA Survey on Big Data Analytics
A Survey on Big Data Analytics
 
Australia's Environmental Predictive Capability
Australia's Environmental Predictive CapabilityAustralia's Environmental Predictive Capability
Australia's Environmental Predictive Capability
 
Crowdsourcing: A Survey
Crowdsourcing: A SurveyCrowdsourcing: A Survey
Crowdsourcing: A Survey
 
Foresight by Online Communities - The Case of Renewable Energies
Foresight by Online Communities - The Case of Renewable EnergiesForesight by Online Communities - The Case of Renewable Energies
Foresight by Online Communities - The Case of Renewable Energies
 
Data Center Computing for Data Science: an evolution of machines, middleware,...
Data Center Computing for Data Science: an evolution of machines, middleware,...Data Center Computing for Data Science: an evolution of machines, middleware,...
Data Center Computing for Data Science: an evolution of machines, middleware,...
 
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...
 
Collaborating Across Boundaries to Engage Journalism Students in Computationa...
Collaborating Across Boundaries to Engage Journalism Students in Computationa...Collaborating Across Boundaries to Engage Journalism Students in Computationa...
Collaborating Across Boundaries to Engage Journalism Students in Computationa...
 
The profile of the management (data) scientist: Potential scenarios and skill...
The profile of the management (data) scientist: Potential scenarios and skill...The profile of the management (data) scientist: Potential scenarios and skill...
The profile of the management (data) scientist: Potential scenarios and skill...
 
DSSG Speaker Series: Paco Nathan
DSSG Speaker Series: Paco NathanDSSG Speaker Series: Paco Nathan
DSSG Speaker Series: Paco Nathan
 
Data Analytics in Industry Verticals, Data Analytics Lifecycle, Challenges of...
Data Analytics in Industry Verticals, Data Analytics Lifecycle, Challenges of...Data Analytics in Industry Verticals, Data Analytics Lifecycle, Challenges of...
Data Analytics in Industry Verticals, Data Analytics Lifecycle, Challenges of...
 
Digital History Projects as Boundary Objects
Digital History Projects as Boundary ObjectsDigital History Projects as Boundary Objects
Digital History Projects as Boundary Objects
 

More from Axel Bruns

Identifying the Symptoms of Destructive Polarisation
Identifying the Symptoms of Destructive PolarisationIdentifying the Symptoms of Destructive Polarisation
Identifying the Symptoms of Destructive PolarisationAxel Bruns
 
Voices on the Voice Referendum: A Computational Analysis of News and Audience...
Voices on the Voice Referendum: A Computational Analysis of News and Audience...Voices on the Voice Referendum: A Computational Analysis of News and Audience...
Voices on the Voice Referendum: A Computational Analysis of News and Audience...Axel Bruns
 
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...Axel Bruns
 
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...Axel Bruns
 
Types of Polarisation and Their Operationalisation in Digital and Social Medi...
Types of Polarisation and Their Operationalisation in Digital and Social Medi...Types of Polarisation and Their Operationalisation in Digital and Social Medi...
Types of Polarisation and Their Operationalisation in Digital and Social Medi...Axel Bruns
 
News Sharing and Partisanship: Tracking News Outlet Repertoires on Twitter ov...
News Sharing and Partisanship: Tracking News Outlet Repertoires on Twitter ov...News Sharing and Partisanship: Tracking News Outlet Repertoires on Twitter ov...
News Sharing and Partisanship: Tracking News Outlet Repertoires on Twitter ov...Axel Bruns
 
Determining the Drivers and Dynamics of Partisanship and Polarisation in Onli...
Determining the Drivers and Dynamics of Partisanship and Polarisation in Onli...Determining the Drivers and Dynamics of Partisanship and Polarisation in Onli...
Determining the Drivers and Dynamics of Partisanship and Polarisation in Onli...Axel Bruns
 
Towards a New Empiricism: Polarisation across Four Dimensions
Towards a New Empiricism: Polarisation across Four DimensionsTowards a New Empiricism: Polarisation across Four Dimensions
Towards a New Empiricism: Polarisation across Four DimensionsAxel Bruns
 
The Anatomy of Virality: How COVID-19 Conspiracy Theories Spread across Socia...
The Anatomy of Virality: How COVID-19 Conspiracy Theories Spread across Socia...The Anatomy of Virality: How COVID-19 Conspiracy Theories Spread across Socia...
The Anatomy of Virality: How COVID-19 Conspiracy Theories Spread across Socia...Axel Bruns
 
A Platform Policy Implementation Audit of Actions against Russia’s State-Cont...
A Platform Policy Implementation Audit of Actions against Russia’s State-Cont...A Platform Policy Implementation Audit of Actions against Russia’s State-Cont...
A Platform Policy Implementation Audit of Actions against Russia’s State-Cont...Axel Bruns
 
Networks of Agonism and Antagonism: Polarised Discourses about COP26 (and COP...
Networks of Agonism and Antagonism: Polarised Discourses about COP26 (and COP...Networks of Agonism and Antagonism: Polarised Discourses about COP26 (and COP...
Networks of Agonism and Antagonism: Polarised Discourses about COP26 (and COP...Axel Bruns
 
The Filter in Our (?) Heads: Digital Media and Polarisation
The Filter in Our (?) Heads: Digital Media and PolarisationThe Filter in Our (?) Heads: Digital Media and Polarisation
The Filter in Our (?) Heads: Digital Media and PolarisationAxel Bruns
 
Gatewatching 5: Weaponising Newssharing: ‘Fake News’ and Other Malinformation
Gatewatching 5: Weaponising Newssharing: ‘Fake News’ and Other MalinformationGatewatching 5: Weaponising Newssharing: ‘Fake News’ and Other Malinformation
Gatewatching 5: Weaponising Newssharing: ‘Fake News’ and Other MalinformationAxel Bruns
 
Gatewatching 10: New(s) Publics in the Public Sphere
Gatewatching 10: New(s) Publics in the Public SphereGatewatching 10: New(s) Publics in the Public Sphere
Gatewatching 10: New(s) Publics in the Public SphereAxel Bruns
 
Gatewatching 4: Random Acts of Gatewatching: Everyday Newssharing Practices
Gatewatching 4: Random Acts of Gatewatching: Everyday Newssharing PracticesGatewatching 4: Random Acts of Gatewatching: Everyday Newssharing Practices
Gatewatching 4: Random Acts of Gatewatching: Everyday Newssharing PracticesAxel Bruns
 
Gatewatching 11: Echo Chambers? Filter Bubbles? Reviewing the Evidence
Gatewatching 11: Echo Chambers? Filter Bubbles? Reviewing the EvidenceGatewatching 11: Echo Chambers? Filter Bubbles? Reviewing the Evidence
Gatewatching 11: Echo Chambers? Filter Bubbles? Reviewing the EvidenceAxel Bruns
 
Gatewatching 1: Introduction: What’s So Different about Journalism Today?
Gatewatching 1: Introduction: What’s So Different about Journalism Today?Gatewatching 1: Introduction: What’s So Different about Journalism Today?
Gatewatching 1: Introduction: What’s So Different about Journalism Today?Axel Bruns
 
Gatewatching 8: Hybrid News Coverage: Liveblogs
Gatewatching 8: Hybrid News Coverage: LiveblogsGatewatching 8: Hybrid News Coverage: Liveblogs
Gatewatching 8: Hybrid News Coverage: LiveblogsAxel Bruns
 
Gatewatching 2: From Gatekeeping to Gatewatching: The First Wave of Citizen M...
Gatewatching 2: From Gatekeeping to Gatewatching: The First Wave of Citizen M...Gatewatching 2: From Gatekeeping to Gatewatching: The First Wave of Citizen M...
Gatewatching 2: From Gatekeeping to Gatewatching: The First Wave of Citizen M...Axel Bruns
 
Gatewatching 9: ‘Real’ News and ‘Fake’ News: Fact-Checking and Media Literacy
Gatewatching 9: ‘Real’ News and ‘Fake’ News: Fact-Checking and Media LiteracyGatewatching 9: ‘Real’ News and ‘Fake’ News: Fact-Checking and Media Literacy
Gatewatching 9: ‘Real’ News and ‘Fake’ News: Fact-Checking and Media LiteracyAxel Bruns
 

More from Axel Bruns (20)

Identifying the Symptoms of Destructive Polarisation
Identifying the Symptoms of Destructive PolarisationIdentifying the Symptoms of Destructive Polarisation
Identifying the Symptoms of Destructive Polarisation
 
Voices on the Voice Referendum: A Computational Analysis of News and Audience...
Voices on the Voice Referendum: A Computational Analysis of News and Audience...Voices on the Voice Referendum: A Computational Analysis of News and Audience...
Voices on the Voice Referendum: A Computational Analysis of News and Audience...
 
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
 
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
What Is Lost When Twitter Is Lost? Reflections on the Impending Death of a Pl...
 
Types of Polarisation and Their Operationalisation in Digital and Social Medi...
Types of Polarisation and Their Operationalisation in Digital and Social Medi...Types of Polarisation and Their Operationalisation in Digital and Social Medi...
Types of Polarisation and Their Operationalisation in Digital and Social Medi...
 
News Sharing and Partisanship: Tracking News Outlet Repertoires on Twitter ov...
News Sharing and Partisanship: Tracking News Outlet Repertoires on Twitter ov...News Sharing and Partisanship: Tracking News Outlet Repertoires on Twitter ov...
News Sharing and Partisanship: Tracking News Outlet Repertoires on Twitter ov...
 
Determining the Drivers and Dynamics of Partisanship and Polarisation in Onli...
Determining the Drivers and Dynamics of Partisanship and Polarisation in Onli...Determining the Drivers and Dynamics of Partisanship and Polarisation in Onli...
Determining the Drivers and Dynamics of Partisanship and Polarisation in Onli...
 
Towards a New Empiricism: Polarisation across Four Dimensions
Towards a New Empiricism: Polarisation across Four DimensionsTowards a New Empiricism: Polarisation across Four Dimensions
Towards a New Empiricism: Polarisation across Four Dimensions
 
The Anatomy of Virality: How COVID-19 Conspiracy Theories Spread across Socia...
The Anatomy of Virality: How COVID-19 Conspiracy Theories Spread across Socia...The Anatomy of Virality: How COVID-19 Conspiracy Theories Spread across Socia...
The Anatomy of Virality: How COVID-19 Conspiracy Theories Spread across Socia...
 
A Platform Policy Implementation Audit of Actions against Russia’s State-Cont...
A Platform Policy Implementation Audit of Actions against Russia’s State-Cont...A Platform Policy Implementation Audit of Actions against Russia’s State-Cont...
A Platform Policy Implementation Audit of Actions against Russia’s State-Cont...
 
Networks of Agonism and Antagonism: Polarised Discourses about COP26 (and COP...
Networks of Agonism and Antagonism: Polarised Discourses about COP26 (and COP...Networks of Agonism and Antagonism: Polarised Discourses about COP26 (and COP...
Networks of Agonism and Antagonism: Polarised Discourses about COP26 (and COP...
 
The Filter in Our (?) Heads: Digital Media and Polarisation
The Filter in Our (?) Heads: Digital Media and PolarisationThe Filter in Our (?) Heads: Digital Media and Polarisation
The Filter in Our (?) Heads: Digital Media and Polarisation
 
Gatewatching 5: Weaponising Newssharing: ‘Fake News’ and Other Malinformation
Gatewatching 5: Weaponising Newssharing: ‘Fake News’ and Other MalinformationGatewatching 5: Weaponising Newssharing: ‘Fake News’ and Other Malinformation
Gatewatching 5: Weaponising Newssharing: ‘Fake News’ and Other Malinformation
 
Gatewatching 10: New(s) Publics in the Public Sphere
Gatewatching 10: New(s) Publics in the Public SphereGatewatching 10: New(s) Publics in the Public Sphere
Gatewatching 10: New(s) Publics in the Public Sphere
 
Gatewatching 4: Random Acts of Gatewatching: Everyday Newssharing Practices
Gatewatching 4: Random Acts of Gatewatching: Everyday Newssharing PracticesGatewatching 4: Random Acts of Gatewatching: Everyday Newssharing Practices
Gatewatching 4: Random Acts of Gatewatching: Everyday Newssharing Practices
 
Gatewatching 11: Echo Chambers? Filter Bubbles? Reviewing the Evidence
Gatewatching 11: Echo Chambers? Filter Bubbles? Reviewing the EvidenceGatewatching 11: Echo Chambers? Filter Bubbles? Reviewing the Evidence
Gatewatching 11: Echo Chambers? Filter Bubbles? Reviewing the Evidence
 
Gatewatching 1: Introduction: What’s So Different about Journalism Today?
Gatewatching 1: Introduction: What’s So Different about Journalism Today?Gatewatching 1: Introduction: What’s So Different about Journalism Today?
Gatewatching 1: Introduction: What’s So Different about Journalism Today?
 
Gatewatching 8: Hybrid News Coverage: Liveblogs
Gatewatching 8: Hybrid News Coverage: LiveblogsGatewatching 8: Hybrid News Coverage: Liveblogs
Gatewatching 8: Hybrid News Coverage: Liveblogs
 
Gatewatching 2: From Gatekeeping to Gatewatching: The First Wave of Citizen M...
Gatewatching 2: From Gatekeeping to Gatewatching: The First Wave of Citizen M...Gatewatching 2: From Gatekeeping to Gatewatching: The First Wave of Citizen M...
Gatewatching 2: From Gatekeeping to Gatewatching: The First Wave of Citizen M...
 
Gatewatching 9: ‘Real’ News and ‘Fake’ News: Fact-Checking and Media Literacy
Gatewatching 9: ‘Real’ News and ‘Fake’ News: Fact-Checking and Media LiteracyGatewatching 9: ‘Real’ News and ‘Fake’ News: Fact-Checking and Media Literacy
Gatewatching 9: ‘Real’ News and ‘Fake’ News: Fact-Checking and Media Literacy
 

Recently uploaded

Power in International Relations (Pol 5)
Power in International Relations (Pol 5)Power in International Relations (Pol 5)
Power in International Relations (Pol 5)ssuser583c35
 
Political-Ideologies-and-The-Movements.pptx
Political-Ideologies-and-The-Movements.pptxPolitical-Ideologies-and-The-Movements.pptx
Political-Ideologies-and-The-Movements.pptxSasikiranMarri
 
Emerging issues in migration policies.ppt
Emerging issues in migration policies.pptEmerging issues in migration policies.ppt
Emerging issues in migration policies.pptNandinituteja1
 
11042024_First India Newspaper Jaipur.pdf
11042024_First India Newspaper Jaipur.pdf11042024_First India Newspaper Jaipur.pdf
11042024_First India Newspaper Jaipur.pdfFIRST INDIA
 
Foreign Relation of Pakistan with Neighboring Countries.pptx
Foreign Relation of Pakistan with Neighboring Countries.pptxForeign Relation of Pakistan with Neighboring Countries.pptx
Foreign Relation of Pakistan with Neighboring Countries.pptxunark75
 
lok sabha Elections in india- 2024 .pptx
lok sabha Elections in india- 2024 .pptxlok sabha Elections in india- 2024 .pptx
lok sabha Elections in india- 2024 .pptxdigiyvbmrkt
 
16042024_First India Newspaper Jaipur.pdf
16042024_First India Newspaper Jaipur.pdf16042024_First India Newspaper Jaipur.pdf
16042024_First India Newspaper Jaipur.pdfFIRST INDIA
 
14042024_First India Newspaper Jaipur.pdf
14042024_First India Newspaper Jaipur.pdf14042024_First India Newspaper Jaipur.pdf
14042024_First India Newspaper Jaipur.pdfFIRST INDIA
 
12042024_First India Newspaper Jaipur.pdf
12042024_First India Newspaper Jaipur.pdf12042024_First India Newspaper Jaipur.pdf
12042024_First India Newspaper Jaipur.pdfFIRST INDIA
 
Transforming Andhra Pradesh: TDP's Legacy in Road Connectivity
Transforming Andhra Pradesh: TDP's Legacy in Road ConnectivityTransforming Andhra Pradesh: TDP's Legacy in Road Connectivity
Transforming Andhra Pradesh: TDP's Legacy in Road Connectivitynarsireddynannuri1
 
Mitochondrial Fusion Vital for Adult Brain Function and Disease Understanding...
Mitochondrial Fusion Vital for Adult Brain Function and Disease Understanding...Mitochondrial Fusion Vital for Adult Brain Function and Disease Understanding...
Mitochondrial Fusion Vital for Adult Brain Function and Disease Understanding...The Lifesciences Magazine
 
15042024_First India Newspaper Jaipur.pdf
15042024_First India Newspaper Jaipur.pdf15042024_First India Newspaper Jaipur.pdf
15042024_First India Newspaper Jaipur.pdfFIRST INDIA
 
13042024_First India Newspaper Jaipur.pdf
13042024_First India Newspaper Jaipur.pdf13042024_First India Newspaper Jaipur.pdf
13042024_First India Newspaper Jaipur.pdfFIRST INDIA
 
Geostrategic significance of South Asian countries.ppt
Geostrategic significance of South Asian countries.pptGeostrategic significance of South Asian countries.ppt
Geostrategic significance of South Asian countries.pptUsmanKaran
 

Recently uploaded (14)

Power in International Relations (Pol 5)
Power in International Relations (Pol 5)Power in International Relations (Pol 5)
Power in International Relations (Pol 5)
 
Political-Ideologies-and-The-Movements.pptx
Political-Ideologies-and-The-Movements.pptxPolitical-Ideologies-and-The-Movements.pptx
Political-Ideologies-and-The-Movements.pptx
 
Emerging issues in migration policies.ppt
Emerging issues in migration policies.pptEmerging issues in migration policies.ppt
Emerging issues in migration policies.ppt
 
11042024_First India Newspaper Jaipur.pdf
11042024_First India Newspaper Jaipur.pdf11042024_First India Newspaper Jaipur.pdf
11042024_First India Newspaper Jaipur.pdf
 
Foreign Relation of Pakistan with Neighboring Countries.pptx
Foreign Relation of Pakistan with Neighboring Countries.pptxForeign Relation of Pakistan with Neighboring Countries.pptx
Foreign Relation of Pakistan with Neighboring Countries.pptx
 
lok sabha Elections in india- 2024 .pptx
lok sabha Elections in india- 2024 .pptxlok sabha Elections in india- 2024 .pptx
lok sabha Elections in india- 2024 .pptx
 
16042024_First India Newspaper Jaipur.pdf
16042024_First India Newspaper Jaipur.pdf16042024_First India Newspaper Jaipur.pdf
16042024_First India Newspaper Jaipur.pdf
 
14042024_First India Newspaper Jaipur.pdf
14042024_First India Newspaper Jaipur.pdf14042024_First India Newspaper Jaipur.pdf
14042024_First India Newspaper Jaipur.pdf
 
12042024_First India Newspaper Jaipur.pdf
12042024_First India Newspaper Jaipur.pdf12042024_First India Newspaper Jaipur.pdf
12042024_First India Newspaper Jaipur.pdf
 
Transforming Andhra Pradesh: TDP's Legacy in Road Connectivity
Transforming Andhra Pradesh: TDP's Legacy in Road ConnectivityTransforming Andhra Pradesh: TDP's Legacy in Road Connectivity
Transforming Andhra Pradesh: TDP's Legacy in Road Connectivity
 
Mitochondrial Fusion Vital for Adult Brain Function and Disease Understanding...
Mitochondrial Fusion Vital for Adult Brain Function and Disease Understanding...Mitochondrial Fusion Vital for Adult Brain Function and Disease Understanding...
Mitochondrial Fusion Vital for Adult Brain Function and Disease Understanding...
 
15042024_First India Newspaper Jaipur.pdf
15042024_First India Newspaper Jaipur.pdf15042024_First India Newspaper Jaipur.pdf
15042024_First India Newspaper Jaipur.pdf
 
13042024_First India Newspaper Jaipur.pdf
13042024_First India Newspaper Jaipur.pdf13042024_First India Newspaper Jaipur.pdf
13042024_First India Newspaper Jaipur.pdf
 
Geostrategic significance of South Asian countries.ppt
Geostrategic significance of South Asian countries.pptGeostrategic significance of South Asian countries.ppt
Geostrategic significance of South Asian countries.ppt
 

Out-of-the-Box vs In-House Tools: How Are They Affecting Data Journalism in Australia?

  • 1. Mathias Felipe de Lima-Santos, Aljosha Karim Schapals & Axel Bruns Canberra, 5 July 2019 Out-of-the-box vs in-house tools: How are they affecting data journalism in Australia?
  • 2. Introduction • Scholarly research into data journalism a growing field ever since The Guardian’s launch of its Datablog (2009) • Existing research focusses on its implementation in early-adopter nations such as the United States, the United Kingdom, and the Nordic countries (Parasie & Dagiral, 2013; Young & Hermida, 2015; Borges- Rey, 2016; Appelgren & Nygren, 2014) • Gap in literature:  Australia as a case study significantly under-researched  Lacking emphasis on out-of-the-box solutions deployed in data journalism practice (e.g. Datawrapper, Infogram, Tableau) vs. tools developed in-house: business models, limitations, opportunities + production and archiving mechanisms (Broussard & Boss, 2018) @aljoshakarim
  • 3. Example (ABC News, 2 July 2019)
  • 4. Literature Review • Data journalism as the union of programming and storytelling (Ojo & Heravi, 2018): deployment of third-party tools, seen as advantageous due to their off- the-shelf functionalities which match a need that would otherwise require a special programming effort (Nordheim & Päivärinta, 2006) • Challenging digital preservation efforts (Rosenzweig, 2003; Hansen & Paul, 2015): unless maintained by the content proprietor, restrictive archiving mechanisms in place (Weber & Napoli, 2018)  data loss incurring, specifically in relation to multimedia elements • Challenging business model: third-party platforms operating on a ‘freemium’ model, working on the assumption that subscription to advanced versions occurs in the long-run (Xu et al., 2017)  sustainable in light of a resource- depleted industry?  Example: Datawrapper – allowing access to produced visualisations for only a limited number of users  move to in-house solutions? @aljoshakarim
  • 5. Methodology • Mixed-methods approach: (1) Close reading of n = 299 data journalism stories retrieved during January 2017 and May 2018 across ABC News, Fairfax Media, The Guardian Australia, SBS, News Corp., and identify tools used (cf. Ojo & Heravi, 2018) (2) In-depth interviews with n = 18 journalists, designers and developers in May 2018 across above- mentioned outlets, including Bloomberg and Small Multiples (3) Online survey with n = 16 journalists, designers and developers in May 2019 across Australia known to be working in the field of data journalism  Subscription to Cision Media Database to identify relevant staff working in the field, further supplemented by contacting relevant data journalists through LinkedIn and the Australian data journalism Slack channel  Questions asked include (1) limitations and opportunities of use of out-of-the-box vs. in-house tools; (2) perceptions of archiving mechanisms currently deployed; and (3) future strategies moving forward @aljoshakarim
  • 6. Findings: Extent of use • Significant use of out-of-the-box solutions across 299 retrieved data journalism stories, especially Carto, Datawrapper, MapBox and Tableau – only exception: The Guardian Australia – use of in- house tools • 94% of survey respondents say they currently deploy out-of-the-box tools, ease of use seen as advantageous:  “What I am seeing with a lot of these tools, like Tableau, is that they are becoming easier to use, and a lot of producers have access to them” (developer).  “Out-of-the-box solutions are limited in what they can do. In saying that, they can be very useful if you can get the editorial team to use them as is” (developer). • 88% of survey respondents already use (or intend to use) in-house tools in the future:  “You’ve got to try and figure out what your mix is going to be between doing completely bespoke stuff that takes a long time but you can make it do exactly what you want it to do or settle for the tools that you’ve got that are more readily usable and quick to turn around. We struggle with that mix all the time, and every story is different when we make those decisions on a case-by-case basis” (developer). @aljoshakarim
  • 7. Findings: Archiving mechanisms • Whilst ease-of-use seen as advantageous, technological limitations (e.g. poor user experience, static graphics, limited interactivity) of out-of-the-box tools perceived as problematic, particularly regarding digital preservation:  “We ran out of the space on the [budget] plan we had with Carto and had to delete projects to get more space. Losing dozens of maps wasn’t great” (developer).  “[Google] Fusion Tables is being decommissioned, which is a real disappointment as it will mean lots of maps and sheets have created will probably break or be lost” (editor). • 69% of survey respondents lacking any mechanism to ensure digital preservation of data journalism stories using of out-of-the- box solutions @aljoshakarim
  • 8. Findings: Moving forward • Sole reliance on out-of-the-box tools in the long run seen as unsustainable, strong preference voiced towards use of in-house tools in the future • Reason: ‘Freemium’ business model not fit for purpose + range of technological limitations mentioned earlier:  “The problem are third-party companies: they start out free and then they change their business model – [and] then we can’t afford to spend money on it. I mean, sometimes we can, but we can just build our own chart tool [instead], which means we wouldn’t ever have to pay for it again” (editor). @aljoshakarim
  • 9. Discussion • Public broadcasters (ABC, SBS) at the forefront of producing data journalism stories, often with designated, in-house teams with the necessary skillsets  Future research (1): newsroom observations (e.g. ABC Sydney, ABC Brisbane with their ‘Digital Story innovations’ team) to gather how creative collaborations in particularly diverse teams affect contemporary journalism practice in Australia • Contrary, heavy reliance by Fairfax Media on out-of-the-box solutions despite concerns regarding limitations • At the forefront of these limitations lie concerns regarding digital preservation, and the resulting sense of a ‘lack of control’ if not maintained by the content proprietor  feeling of ‘dependence’ / ‘reliance’ seen as not welcome  Future research (2): analysis of digital preservation techniques (31%) and how the longevity of data-intensive material can be secured in the years to come @aljoshakarim