Explanipedia

Locating fault for AI harms: a systems theory of foreseeability, reasonable care and causal responsibility in the AI value chain Open

Henry Fraser, Nicolas Suzor · 2025

This paper presents an original perspective on fault and responsibility for harms caused by artificial intelligence (AI) systems. Scholarship on liability for AI harms highlights the difficulties that doctrines like negligence may encounte…

GPT4 V THE OVERSIGHT BOARD: USING LARGE LANGUAGE MODELS FOR CONTENT MODERATION Open

Lucinda Nelson, Nicolas Suzor · 2025

Large-scale automated content moderation on major social media platforms continues to be highly controversial. Moderation and curation are central to the value propositions that platforms provide, but companies have struggled to convincing…

Locating fault for AI harms: a systems theory of foreseeability, reasonable care and causal responsibility in the AI value chain Open

Henry Fraser, Nicolas Suzor · 2025

MEASURING MISOGYNY: DEPP V HEARD AND THE LIMITS OF ATOMISTIC CONTENT MODERATION Open

Lucinda Nelson, Nicolas Suzor · 2025

Over the past decade, social media companies have come under increasing pressure to make their platforms safer for women. While they have made some changes to their policies and design, their foundational approach to content moderation has…

Locating Fault for AI Harms: A Systems Theory of Foreseeability, Reasonable Care and Causal Responsibility in the AI Value Chain Open

Henry Fraser, Nicolas Suzor · 2025

Contesting the public interest in AI governance Open

Tegan Cohen, Nicolas Suzor · 2024

This article argues that public contestability is a critical attribute of governance arrangements designed to align AI deployment with the public interest. Mechanisms to collectively contest decisions which do not track public interests ar…

EVERYDAY MISOGYNY: DISCOURSES ABOUT DEPP V HEARD ON TWITTER Open

Lucinda Nelson, Nicolas Suzor · 2023

This paper examines the manifestation of 'everyday' online misogyny. Social media platforms are often deeply unsafe spaces for women, particularly women who speak publicly about feminist issues. In response to a number of public controvers…

Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities Open

Aaron Snoswell, Lucinda Nelson, Hao Xue, Flora D. Salim, Nicolas Suzor , et al. · 2023

Generic `toxicity' classifiers continue to be used for evaluating the potential for harm in natural language generation, despite mounting evidence of their shortcomings. We consider the challenge of measuring misogyny in natural language g…

Imagination foregone : A qualitative study of the reuse practices of Australian creators Open

Kylie Pappalardo, Patricia Aufderheide, Jessica Stevens, Nicolas Suzor · 2023

Description to be added

Calculating the consequences of narrow Australian copyright exceptions : measurable, hidden, and incalculable costs to creators Open

Patricia Aufderheide, Kylie Pappalardo, Nicolas Suzor, Jessica Stevens · 2023

Description to be added

Incels on Reddit: A study in social norms and decentralised moderation Open

Rosalie Gillett, Nicolas Suzor · 2022

This paper examines the challenges of combating misogyny and harmful social norms on the social networking and news site Reddit. Reddit has a long history of hosting racist, misogynistic, homophobic, and otherwise harmful communities. Ince…

Self-regulation and Discretion Open

Nicolas Suzor, Rosalie Gillett · 2022

Who should decide what content is permissible online? Platforms will always exercise some degree of discretion over content moderation, and ensuring that platforms exercise their discretionary powers responsibly is a large part of making g…

What’s “Up Next”? Investigating Algorithmic Recommendations on YouTube Across Issues and Over Time Open

Ariadna Matamoros-Fernández, Joanne Gray, Louisa Bartolo, Jean Burgess, Nicolas Suzor · 2021

YouTube’s “up next” feature algorithmically selects, suggests, and displays videos to watch after the one that is currently playing. This feature has been criticized for limiting users’ exposure to a range of diverse media content and info…

WHAT’S ‘UP NEXT’? INVESTIGATING ALGORITHMIC RECOMMENDATIONS ON YOUTUBE ACROSS ISSUES AND OVER TIME Open

Ariadna Matamoros-Fernández, Joanne Gray, Louisa Bartolo, Jean Burgess, Nicolas Suzor · 2021

YouTube’s ‘up next’ feature algorithmically suggests videos to watch after a video that is currently playing. This feature has been criticised for limiting users’ exposure to diverse media content and information sources; meanwhile, YouTub…

INCELS ON REDDIT: A STUDY IN SOCIAL NORMS AND DECENTRALISED MODERATION Open

Rosalie Gillett, Nicolas Suzor · 2021

The social news website Reddit has a long history of hosting communities (‘subreddits’) that advocate or encourage white supremacy (Gillespie 2018), disparagement of minority groups (Topinka 2017), and violence against women (Massanari 201…

QUT Digital Media Research Centre submission regarding the introduction of shield laws Open

Lucinda Nelson, T.J. Thomson, Aljosha Karim Schapals, Nicolas Suzor · 2021

We welcome the introduction of shield laws to protect journalists’ confidential sources. Privacy is important to journalists’ sources, sometimes even in relation to seemingly uncontroversial and mundane stories. Shield laws should work to …

QUT Digital Media Research Centre submission regarding 2021 report on combating glorification of Nazism, neo-Nazism and other practices Open

Ariadna Matamoros-Fernández, Lucinda Nelson, Nicolas Suzor · 2021

We welcome the opportunity to contribute to this report. In general terms, our research focuses on the challenges of addressing the spread of harmful content online. One of the biggest challenges of content moderation is that platforms pri…

QUT Digital Media Research Centre submission in response to the inquiry into serious vilification and hate crimes Open

Lucinda Nelson, Nicolas Suzor, Rosalie Gillett, Ariadna Matamoros-Fernández · 2021

We welcome the opportunity to contribute to this inquiry, and support the important work being undertaken by the Cohesive Communities Coalition. In general terms, our research focuses on digital media and human rights. We have provided ref…

QUT Digital Media Research Centre submission in response to the Stage 2 Review of the Model Defamation Provisions Open

Lucinda Nelson, Nicolas Suzor, Kylie Pappalardo · 2021

We welcome the opportunity to contribute to this important review. In general terms, we are concerned with the operation of Australian defamation law in practice. While relatively few cases make it to the courts, current law creates danger…

QUT Digital Media Research Centre submission in response to the draft Online Safety Bill 2020 Open

Nicolas Suzor, Lucinda Nelson, Rosalie Gillett, Jean Burgess · 2021

A submission to the Department of Infrastructure, Transport, Regional Development and Communications

The Legal and Coding Challenges of Digitising Commonwealth Legislation: Select Senate Committee on Financial Technology and Regulatory Technology Issues Paper Submission Open

Anna Huggins, Alice Witt, Nicolas Suzor, Mark Burdon, Guido Governatori · 2021

Our submission outlines research findings from an ongoing collaborative project between the School of Law/Digital Media Research Centre at the Queensland University of Technology (‘QUT’) and CSIRO’s Data61. The project aims to identify the…

QUT Digital Media Research Centre submission to the consultation on disinformation industry code Open

Nicolas Suzor, Lucinda Nelson, Jean Burgess, Daniel Angus, Kylie Pappalardo · 2020

We make the following recommendations regarding the draft disinformation industry code of practice:
1. Refine the definition of ‘good faith research’ to clarify that academic research approved by an academic ethics committee or institu…

QUT Digital Media Research Centre submission to the inquiry into Centrelink's compliance program Open

Anna Huggins, Nicolas Suzor, Joanne Gray, Lucinda Nelson · 2020

We make the following recommendations regarding automated government
decision-making in general, including systems such as the Centrelink compliance program:
1. Introduce a moratorium on ADM for significant decisions
2. Introdu…

Misogynistic Tweet Detection: Modelling CNN with Small Datasets Open

MA Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir · 2020

Online abuse directed towards women on the social media platform Twitter has attracted considerable attention in recent years. An automated method to effectively identify misogynistic abuse could improve our understanding of the patterns, …

Lessons from our content moderation research:A story of ongoing experimentation and failure Open

Nicolas Suzor, Rosalie Gillett · 2020

Mandatory news media bargaining code submission: Platform Governance team Open

Fiona Martin, Tim Dwyer, Terry Flew, Nicolas Suzor, Rosalie Gillett , et al. · 2020

DMRC Submission to Human Rights and Technology Discussion Paper, 14 April 2020 Open

Nicolas Suzor, Mark Burdon, Anna Huggins, Joanne Gray, Kylie Pappalardo · 2020

Digital Media Research Centre (DMRC) submission to the Review of Australian classification regulation Open

Terry Flew, Stuart Cunningham, Rosalie Gillett, Brendan Keogh, Amanda D. Lotz , et al. · 2020

Playing with machines: Using machine learning to understand automated copyright enforcement at scale Open

Joanne Gray, Nicolas Suzor · 2020

This article presents the results of methodological experimentation that utilises machine learning to investigate automated copyright enforcement on YouTube. Using a dataset of 76.7 million YouTube videos, we explore how digital and comput…

ALGORITHMIC COPYRIGHT ENFORCEMENT ON YOUTUBE: USING MACHINE LEARNING TO UNDERSTAND AUTOMATED DECISION-MAKING AT SCALE Open

Joanne Gray, Nicolas Suzor · 2019

This paper presents the results of an investigation of algorithmic copyright enforcement on YouTube. We use digital and computational methods to help understand the operation of automated decision-making at scale. We argue that in order to…

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