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Recommender systems and algorithms – position statement

Recommender systems – and the algorithms that power them – are central to how we use the internet and are integral to many online platforms, services and applications. They select, filter and personalise content and other items. 

These systems affect people’s experiences in many ways, which can be both helpful and harmful.

This position statement explores the design of recommender systems, how they can amplify and compound harm online, and how systems should be designed to put user safety first and foremost.

On this page:

Background

As part of eSafety’s commitment to remain current on and anticipate technological change, we review and update our published position statements where necessary.

In December 2022, we published a position statement on recommender systems and algorithms. Since then, there have been a number of changes in the technology landscape.

The updated position statement outlines current and emerging risks and harms, identifies opportunities, explores regulatory challenges and provides guidance on Safety by Design measures. The paper considers new risks and impacts and the increasing influence of artificial intelligence (AI) in terms of platform approaches and content.

Risks and harms

Recommender systems present unique risks and harms, which are affected by context and specific design choices and can extend beyond the impacts of individual pieces of content. There are a number of important factors, related to underlying system design, which can impact these risks and harms:

  • Social media platforms prioritise engagement when sorting and presenting content algorithmically, but these systems rarely distinguish between positive and negative engagement.
  • The impact, severity and type of harm a user may experience from recommended content varies based on a user’s particular circumstances.
  • Recommending large volumes of harmful content to a user may cause cumulative effects that can be more impactful and harmful than any one individual post, creating deeper and longer lasting harm.

Safer design

The continued concern about the role of algorithms and recommender systems in a range of online harms – exacerbated by rapidly shifting platform norms and new technologies – highlights the need for greater, coordinated action.

Industry should take a proactive and deliberate approach to safer design by implementing Safety by Design. This includes giving users more control over algorithm settings and improving transparency about how recommender systems and algorithms are designed and used. User safety, best interests and rights are paramount considerations when developing and implementing recommender systems and algorithms. Industry should make user safety the first and foremost priority. 

Download a copy

Further information about recommender systems is provided in eSafety’s position statement. Topics covered include:

  • Background to the position statement
  • What are algorithms and recommender systems
  • Exploring the risks, harms and impacts of recommender systems
  • Current harm mitigation strategies and challenges
  • Designing safer systems, including Safety by Design
  • Looking ahead.

Click on the file link to download the full position statement. 

Further information and resources

If you or someone in your care is experiencing serious online abuse or harm, you can make a report to eSafety. You can also speak to a mental health professional through an expert counselling and support service.

Report incidents of child sexual exploitation and abuse material to the Australian Centre to Counter Child Exploitation (ACCCE). If you believe a child is in immediate danger, call Triple Zero (000) or contact your local police station.

eSafety is developing education and training programs to raise awareness of the impacts of recommender systems, including both their opportunities and risks, and the tools available to manage them.

Targeted online safety education includes: