Algorithmic Publicity and the Right to a Fair Trial

This article examines how social media and AI-driven algorithmic publicity affect the right to a fair trial in Australian criminal jury proceedings. It outlines the common law and statutory controls on prejudicial publicity, including sub judice contempt, permanent stays, jury directions and evidentiary discretions, and shows how they operate in leading High Court and appellate decisions and recent law reform work. It then explains how search engines, social media feeds, recommender systems, synthetic media and generative AI, through engagement-optimised ranking and amplification, undermine broadcast-era assumptions about juror exposure. Drawing on empirical research on juror psychology, media effects and juror internet use, the article evaluates the practical capacity of safeguards such as contempt, stays (including delay, change of venue and sequestration), judge-alone trials and directions where prejudicial material is persistent, searchable and personalised. It argues for a robust fair-trial standard paired with a more candid account of digital exposure. Building on developments in the UK, EU, US, China and Estonia, it proposes doctrinal and procedural refinements, narrowly targeted platform duties and court-supervised AI monitoring tools to preserve jury trial and open justice while maintaining credible fair-trial guarantees in an algorithmic information environment.

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Publication Details

Journal
Bond Law Review
Published
2026-09-01
DOI
https://doi.org/10.53300/001c.169193
Primary Topic
Jury Decision Making Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Algorithmic Publicity and the Right to a Fair Trial

Ariss Laghai
Bond Law Review
Jury Decision Making Processes
article

Algorithmic Publicity and the Right to a Fair Trial

Ariss Laghai
article en

Abstract

This article examines how social media and AI-driven algorithmic publicity affect the right to a fair trial in Australian criminal jury proceedings. It outlines the common law and statutory controls on prejudicial publicity, including sub judice contempt, permanent stays, jury directions and evidentiary discretions, and shows how they operate in leading High Court and appellate decisions and recent law reform work. It then explains how search engines, social media feeds, recommender systems, synthetic media and generative AI, through engagement-optimised ranking and amplification, undermine broadcast-era assumptions about juror exposure. Drawing on empirical research on juror psychology, media effects and juror internet use, the article evaluates the practical capacity of safeguards such as contempt, stays (including delay, change of venue and sequestration), judge-alone trials and directions where prejudicial material is persistent, searchable and personalised. It argues for a robust fair-trial standard paired with a more candid account of digital exposure. Building on developments in the UK, EU, US, China and Estonia, it proposes doctrinal and procedural refinements, narrowly targeted platform duties and court-supervised AI monitoring tools to preserve jury trial and open justice while maintaining credible fair-trial guarantees in an algorithmic information environment.

Bond Law ReviewVol. 38((2))
Bond University (AU)
Bond University
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Jury Decision Making Processes
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