Joanna Redden
Biographic Data
| ID | 3650468 |
|---|---|
| NAME | Joanna Redden |
| GIVEN NAMES | Joanna |
| FAMILY NAME | Redden |
| SIGNATURE | REDDEN J |
| AFFILIATIONS | Cardiff University |
| ORCID | 0000-0002-9480-0951 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 26 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Collectivity in data governance and data justice
With this special issue, we seek to critically reflect on contemporary debates on data governance and data justice by foregrounding the question of collectivity from different perspectives. The issue brings together scholars from across the globe to consider how the collective features within ideas of data governance and justice, and what responses to concerns about datafication might look like beyond the individualist paradigm. It builds on the …
Crafting an Intersectional Response to Bill C-27 for the Standing Committee on Industry and Technology
Background: In the fall of 2023, a group of scholars prepared a brief to respond intersectionally to Bill C-27 after its second reading and study by the Standing Committee on Industry and Technology. Updates to Canada’s private sector privacy law and regulation of artificial intelligence were important elements proposed in Bill C-27. Analysis: This article reflects upon five significant issues related to our brief and intersectionality. Conclusio…
Femtech in context: A critical conceptual (re)view
Emerging as a commercial category in 2016, 'femtech' has been publicly celebrated as a category of consumer-based digital health technologies designed to support the unmet and systemically marginalized health needs of women in areas such as menstruation, fertility, pregnancy, postpartum, and menopause, through data-driven apps, wearables, and self-diagnostic tools. Since its emergence, the term femtech has become culturally significant and has ta…
(Un)stable diffusions: The publics, publicities, and publicizations of generative AI
Generative AI is a uniquely public technology. The large language models behind ChatGPT and other tools that generate text and images is a major develop in publicity as much as technology. Without public data and public participation, these large models could not be trained. Without the attention, hype, and hope around these technologies, the big AI firms probably could not afford the computational costs to train these models. Our special issue q…
Chapter 3 Datafied Child Welfare Services as Sites of Struggle
Predictive analytics is increasingly being used by child welfare agencies in many countries to influence decisions about resources, services, risk, and when and how to intervene in the lives of families. This chapter draws on international case study investigations of government agencies that have tried and cancelled their plans to pursue the use of predictive analytics to inform decisions about families and services. The chapter makes the case t…
Predictive Analytics and Child Welfare: Toward Data Justice
Background Child welfare agencies in many countries are increasingly using predictive analytics to influence decisions about the allocations of resources and services, risk, and intervention. Analysis The speed with which predictive analytics is being introduced in child welfare services is problematic. Research on this issue raises significant concerns about inequality, transparency, public accountability and oversight. Conclusion and implicatio…
Datafied child welfare services: Unpacking politics, economics and power
This article analyses three distinct child welfare data systems in England. We focus on child welfare as a contested area in public services where data systems are being used to inform decision-making and transforming governance. We advance the use of “data assemblage” as an analytical framework to detail how key political and economic factors influence the development of these data systems. We provide an empirically grounded demonstration of why…
Exploring Data Justice: Conceptions, Applications and Directions
In May 2018 over 200 people from around the world met at Cardiff University in the United Kingdom to participate in a conference on ‘Data Justice’ hosted by the Data Justice Lab. They included scho
Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
There is an abundance of enthusiasm and optimism about how governments at all levels can make use of big data, algorithms and artificial intelligence. There is also growing concern about the risks that come with these new systems. This article makes the case for greater government transparency and accountability about uses of big data through a Government of Canada qualitative research case study. Adapting a method from critical cartographers, I …
Digital Media, Cultural Production and Speculative Capitalism
Poverty in the News: A framing analysis of coverage in Canada and the UK
This article provides a framing analysis of mainstream press coverage of poverty (offline and online) in Canada and the UK, and compares mainstream news coverage to coverage on alternative news sites. The research questions the extent to which, and how, coverage of children and immigrants presents contemporary constructions of the ‘deserving’ and ‘undeserving poor’. It is argued that rationalizing and individualizing frames dominate coverage of p…
Blogs I Read”: Partisanship and Party Loyalty in the Canadian Political Blogosphere
This article builds upon current hyperlink mapping research to determine the degree of party loyalty and partisanship in the Canadian political blogosphere. The article develops a hyperlink-based method of determining blogger endorsements as a means of tracking cross-party recommendations. The article concludes that bloggers affiliated with the governing Conservative Party of Canada exhibit the most cohesive ideological and party loyal set of blo…
Election bloggers: Methods for determining political influence
This paper discusses early findings and methodological pitfalls of a study of a hyper–mediated election campaign in Canada. Web logs — or “blogs” — serve as the primary object of study. The paper focuses on possible sources of large scale data (aggregated blogger posts) and methods of determining the political influence of bloggers. A series of methodologies are proposed to resolve the over–reliance upon information aggregators and blog search en…
Datafied child welfare services: Unpacking politics, economics and power
This article analyses three distinct child welfare data systems in England. We focus on child welfare as a contested area in public services where data systems are being used to inform decision-making and transforming governance. We advance the use of “data assemblage” as an analytical framework to detail how key political and economic factors influence the development of these data systems. We provide an empirically grounded demonstration of why…
Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
There is an abundance of enthusiasm and optimism about how governments at all levels can make use of big data, algorithms and artificial intelligence. There is also growing concern about the risks that come with these new systems. This article makes the case for greater government transparency and accountability about uses of big data through a Government of Canada qualitative research case study. Adapting a method from critical cartographers, I …
(Un)stable diffusions: The publics, publicities, and publicizations of generative AI
Generative AI is a uniquely public technology. The large language models behind ChatGPT and other tools that generate text and images is a major develop in publicity as much as technology. Without public data and public participation, these large models could not be trained. Without the attention, hype, and hope around these technologies, the big AI firms probably could not afford the computational costs to train these models. Our special issue q…
Election bloggers: Methods for determining political influence
This paper discusses early findings and methodological pitfalls of a study of a hyper–mediated election campaign in Canada. Web logs — or “blogs” — serve as the primary object of study. The paper focuses on possible sources of large scale data (aggregated blogger posts) and methods of determining the political influence of bloggers. A series of methodologies are proposed to resolve the over–reliance upon information aggregators and blog search en…
Blogs I Read”: Partisanship and Party Loyalty in the Canadian Political Blogosphere
This article builds upon current hyperlink mapping research to determine the degree of party loyalty and partisanship in the Canadian political blogosphere. The article develops a hyperlink-based method of determining blogger endorsements as a means of tracking cross-party recommendations. The article concludes that bloggers affiliated with the governing Conservative Party of Canada exhibit the most cohesive ideological and party loyal set of blo…
Poverty in the News: A framing analysis of coverage in Canada and the UK
This article provides a framing analysis of mainstream press coverage of poverty (offline and online) in Canada and the UK, and compares mainstream news coverage to coverage on alternative news sites. The research questions the extent to which, and how, coverage of children and immigrants presents contemporary constructions of the ‘deserving’ and ‘undeserving poor’. It is argued that rationalizing and individualizing frames dominate coverage of p…
Digital Media, Cultural Production and Speculative Capitalism
Democratic governance in an age of datafication: Lessons from mapping government discourses and practices
There is an abundance of enthusiasm and optimism about how governments at all levels can make use of big data, algorithms and artificial intelligence. There is also growing concern about the risks that come with these new systems. This article makes the case for greater government transparency and accountability about uses of big data through a Government of Canada qualitative research case study. Adapting a method from critical cartographers, I …
Exploring Data Justice: Conceptions, Applications and Directions
In May 2018 over 200 people from around the world met at Cardiff University in the United Kingdom to participate in a conference on ‘Data Justice’ hosted by the Data Justice Lab. They included scho
Predictive Analytics and Child Welfare: Toward Data Justice
Background Child welfare agencies in many countries are increasingly using predictive analytics to influence decisions about the allocations of resources and services, risk, and intervention. Analysis The speed with which predictive analytics is being introduced in child welfare services is problematic. Research on this issue raises significant concerns about inequality, transparency, public accountability and oversight. Conclusion and implicatio…
Datafied child welfare services: Unpacking politics, economics and power
This article analyses three distinct child welfare data systems in England. We focus on child welfare as a contested area in public services where data systems are being used to inform decision-making and transforming governance. We advance the use of “data assemblage” as an analytical framework to detail how key political and economic factors influence the development of these data systems. We provide an empirically grounded demonstration of why…
Chapter 3 Datafied Child Welfare Services as Sites of Struggle
Predictive analytics is increasingly being used by child welfare agencies in many countries to influence decisions about resources, services, risk, and when and how to intervene in the lives of families. This chapter draws on international case study investigations of government agencies that have tried and cancelled their plans to pursue the use of predictive analytics to inform decisions about families and services. The chapter makes the case t…
(Un)stable diffusions: The publics, publicities, and publicizations of generative AI
Generative AI is a uniquely public technology. The large language models behind ChatGPT and other tools that generate text and images is a major develop in publicity as much as technology. Without public data and public participation, these large models could not be trained. Without the attention, hype, and hope around these technologies, the big AI firms probably could not afford the computational costs to train these models. Our special issue q…
Collectivity in data governance and data justice
With this special issue, we seek to critically reflect on contemporary debates on data governance and data justice by foregrounding the question of collectivity from different perspectives. The issue brings together scholars from across the globe to consider how the collective features within ideas of data governance and justice, and what responses to concerns about datafication might look like beyond the individualist paradigm. It builds on the …
Crafting an Intersectional Response to Bill C-27 for the Standing Committee on Industry and Technology
Background: In the fall of 2023, a group of scholars prepared a brief to respond intersectionally to Bill C-27 after its second reading and study by the Standing Committee on Industry and Technology. Updates to Canada’s private sector privacy law and regulation of artificial intelligence were important elements proposed in Bill C-27. Analysis: This article reflects upon five significant issues related to our brief and intersectionality. Conclusio…
Femtech in context: A critical conceptual (re)view
Emerging as a commercial category in 2016, 'femtech' has been publicly celebrated as a category of consumer-based digital health technologies designed to support the unmet and systemically marginalized health needs of women in areas such as menstruation, fertility, pregnancy, postpartum, and menopause, through data-driven apps, wearables, and self-diagnostic tools. Since its emergence, the term femtech has become culturally significant and has ta…
Political science (12 works) · Law (9 works) · Sociology (9 works) · Business (5 works) · Computer Science (5 works) · Economics (5 works) · Public relations (5 works) · Ethics and Social Impacts of AI (4 works) · Law (4 works) · Media studies (4 works)