Philip J B Jackson
Biographic Data
| ID | 4448655 |
|---|---|
| NAME | Philip J B Jackson |
| GIVEN NAMES | Philip J B |
| FAMILY NAME | Jackson |
| SIGNATURE | JACKSON P J B |
| AFFILIATIONS | University of Surrey |
| ORCID | 0000-0001-7933-5935 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
How do we speak about algorithms and algorithmic media futures? Using vignettes and scenarios in a citizen council on data-driven media personalisation
New’ media and algorithmic rules underlying many emerging technologies present particular challenges in fieldwork, because the opacity of their design, and, sometimes, their real or perceived status as ‘not quite here yet’ – makes speaking about these challenging in the field. In this article, we use insights from a three-stage citizens council investigating citizens’ views on developments in data-driven media personalisation to reflect on the po…
Conditional trust: Citizens' council on data-driven media personalisation and public expectations of transparency and accountability
This article presents findings from a rigorous, three-wave series of qualitative research into public expectations of data-driven media technologies, conducted in England, United Kingdom. Through a range of carefully chosen scenarios and deliberations around the risks and benefits afforded by data-driven media personalisation technologies and algorithms, we paid close attention to citizens' voices as our multidisciplinary team sought to engage th…
Conditional trust: Citizens' council on data-driven media personalisation and public expectations of transparency and accountability
This article presents findings from a rigorous, three-wave series of qualitative research into public expectations of data-driven media technologies, conducted in England, United Kingdom. Through a range of carefully chosen scenarios and deliberations around the risks and benefits afforded by data-driven media personalisation technologies and algorithms, we paid close attention to citizens' voices as our multidisciplinary team sought to engage th…
Conditional trust: Citizens' council on data-driven media personalisation and public expectations of transparency and accountability
This article presents findings from a rigorous, three-wave series of qualitative research into public expectations of data-driven media technologies, conducted in England, United Kingdom. Through a range of carefully chosen scenarios and deliberations around the risks and benefits afforded by data-driven media personalisation technologies and algorithms, we paid close attention to citizens' voices as our multidisciplinary team sought to engage th…
How do we speak about algorithms and algorithmic media futures? Using vignettes and scenarios in a citizen council on data-driven media personalisation
New’ media and algorithmic rules underlying many emerging technologies present particular challenges in fieldwork, because the opacity of their design, and, sometimes, their real or perceived status as ‘not quite here yet’ – makes speaking about these challenging in the field. In this article, we use insights from a three-stage citizens council investigating citizens’ views on developments in data-driven media personalisation to reflect on the po…
Ethics and Social Impacts of AI (2 works) · Personalization (2 works) · Social media (2 works) · Sociology (2 works) · Accountability (1 works) · Algorithm (1 works) · Business (1 works) · Computer Science (1 works) · Digital Games and Media (1 works) · Economics (1 works)