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Dr Luke Munn
Dr

Luke Munn

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Overview

Background

Luke Munn is a Research Fellow in Digital Cultures & Societies at the University of Queensland. His wide-ranging work investigates the sociocultural impacts of digital cultures, from data infrastructures in Asia to platform labor and far-right radicalisation, and has been featured in highly regarded journals such as Cultural Politics, Big Data & Society, and New Media & Society as well as popular forums like the Guardian, the Los Angeles Times, and the Washington Post. He has written five books: Unmaking the Algorithm (2018), Logic of Feeling (2020), Automation is a Myth (2022), Countering the Cloud (2022), and Technical Territories (2023 forthcoming). His work combines diverse digital methods with critical analysis that draws on media, race, and cultural studies.

Availability

Dr Luke Munn is:
Available for supervision

Works

Search Professor Luke Munn’s works on UQ eSpace

50 works between 2017 and 2024

1 - 20 of 50 works

2024

Journal Article

Truth machines: synthesizing veracity in AI language models

Munn, Luke, Magee, Liam and Arora, Vanicka (2024). Truth machines: synthesizing veracity in AI language models. AI and Society, 39 (6) e11510, 2759-2773. doi: 10.1007/s00146-023-01756-4

Truth machines: synthesizing veracity in AI language models

2024

Journal Article

Inclusive online learning in Australia: Barriers and enablers

Marsden, Linda, Munn, Luke, Magee, Liam, Ferrinda, Matthew, St. Pierre, Justin and Third, Amanda (2024). Inclusive online learning in Australia: Barriers and enablers. Education and Information Technologies, 30 (4), 5301-5330. doi: 10.1007/s10639-024-13012-3

Inclusive online learning in Australia: Barriers and enablers

2024

Journal Article

Taming the algorithm: The platform realism of GrabBike delivery workers

Nguyen-Thu, Giang and Munn, Luke (2024). Taming the algorithm: The platform realism of GrabBike delivery workers. New Media & Society. doi: 10.1177/14614448241262417

Taming the algorithm: The platform realism of GrabBike delivery workers

2024

Journal Article

Expansive and Invasive: Mapping the “Bossware” Used to Monitor Workers

Munn, Luke (2024). Expansive and Invasive: Mapping the “Bossware” Used to Monitor Workers. Surveillance and Society, 22 (2), 104-119. doi: 10.24908/ss.v22i2.16179

Expansive and Invasive: Mapping the “Bossware” Used to Monitor Workers

2024

Other Outputs

The missing human in misinformation fixes

Munn, Luke (2024, 05 21). The missing human in misinformation fixes Scientific American

The missing human in misinformation fixes

2024

Journal Article

Misinformation’s missing human

Munn, Luke (2024). Misinformation’s missing human. Media, Culture and Society, 46 (6), 1287-1298. doi: 10.1177/01634437241249164

Misinformation’s missing human

2024

Journal Article

Tell me a story: a framework for critically investigating AI language models

Munn, Luke and Henrickson, Leah (2024). Tell me a story: a framework for critically investigating AI language models. Learning, Media and Technology, ahead-of-print (ahead-of-print), 1-17. doi: 10.1080/17439884.2024.2327024

Tell me a story: a framework for critically investigating AI language models

2024

Journal Article

More Than Monitoring: Grappling With Bossware

Munn, Luke (2024). More Than Monitoring: Grappling With Bossware. International Journal of Communication, 18, 3128-3139.

More Than Monitoring: Grappling With Bossware

2024

Journal Article

(Re)framing built heritage through the machinic gaze

Arora, Vanicka, Magee, Liam and Munn, Luke (2024). (Re)framing built heritage through the machinic gaze. Journal of Social Archaeology, 24 (2), 197-217. doi: 10.1177/14696053241237949

(Re)framing built heritage through the machinic gaze

2023

Book Chapter

Digital labor, platforms, and AI

Munn, Luke (2023). Digital labor, platforms, and AI. Introduction to digital humanism. (pp. 557-569) edited by Hannes Werthner, Carlo Ghezzi, Jeff Kramer, Julian Nida-Rümelin, Bashar Nuseibeh, Erich Prem and Allison Stanger. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-45304-5_35

Digital labor, platforms, and AI

2023

Journal Article

Fix my food: an urgent call to action from adolescents on how they experience and want to see change in their food systems

Fleming, Catharine A. K., Sharma, Deepika, Brunacci, Kaitlyn, Chandra, Shiva, Lala, Girish, Munn, Luke and Third, Amanda (2023). Fix my food: an urgent call to action from adolescents on how they experience and want to see change in their food systems. Journal of Human Nutrition and Dietetics, 36 (6), 2295-2309. doi: 10.1111/jhn.13228

Fix my food: an urgent call to action from adolescents on how they experience and want to see change in their food systems

2023

Journal Article

Toxic play: examining the issue of hate within gaming

Munn, Luke (2023). Toxic play: examining the issue of hate within gaming. First Monday, 28 (9). doi: 10.5210/fm.v28i9.12508

Toxic play: examining the issue of hate within gaming

2023

Book

Technical territories: data, subjects, and spaces in infrastructural Asia

Munn, Luke (2023). Technical territories: data, subjects, and spaces in infrastructural Asia. Ann Arbor, Michigan, USA: University of Michigan Press. doi: 10.3998/mpub.12584902

Technical territories: data, subjects, and spaces in infrastructural Asia

2023

Journal Article

Structured like a language model: Analysing AI as an automated subject

Magee, Liam, Arora, Vanicka and Munn, Luke (2023). Structured like a language model: Analysing AI as an automated subject. Big Data and Society, 10 (2) 20539517231210273. doi: 10.1177/20539517231210273

Structured like a language model: Analysing AI as an automated subject

2023

Journal Article

Tika technology an alternative blueprint for digitalisation

Munn, Luke (2023). Tika technology an alternative blueprint for digitalisation. Work Organisation, Labour and Globalisation, 17 (1), 153-168. doi: 10.13169/workorgalaboglob.17.1.0153

Tika technology an alternative blueprint for digitalisation

2023

Journal Article

The five tests: designing and evaluating AI according to indigenous Māori principles

Munn, Luke (2023). The five tests: designing and evaluating AI according to indigenous Māori principles. AI & SOCIETY, 39 (4), 1673-1681. doi: 10.1007/s00146-023-01636-x

The five tests: designing and evaluating AI according to indigenous Māori principles

2023

Book

Red pilled - The allure of digital hate

Munn, Luke (2023). Red pilled - The allure of digital hate. Bielefeld, Germany: Bielefeld University Press. doi: 10.14361/9783839466735

Red pilled - The allure of digital hate

2023

Journal Article

Surface and Sublevel Hate

Munn, Luke (2023). Surface and Sublevel Hate. Big Data & Society, 10 (1), 205395172211481. doi: 10.1177/20539517221148136

Surface and Sublevel Hate

2023

Book

Countering the cloud: thinking with and against data infrastructures

Munn, Luke (2023). Countering the cloud: thinking with and against data infrastructures. New York, NY United States: Routledge. doi: 10.4324/9781003341185

Countering the cloud: thinking with and against data infrastructures

2023

Journal Article

The end of prediction? AI technologies in a no-Analog world

Munn, Luke (2023). The end of prediction? AI technologies in a no-Analog world. Sub-Stance, 52 (2), 59-73. doi: 10.1353/sub.2023.a907149

The end of prediction? AI technologies in a no-Analog world

Supervision

Availability

Dr Luke Munn is:
Available for supervision

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Media

Enquiries

For media enquiries about Dr Luke Munn's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au