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Deepfakes

Alternative labels
AI generated fakes
Artificially generated content
Synthetic content ( images, audio and video)
Subject Hierarchy
Broader terms
Information literacy
Current term
Deepfakes
Permalinks
APO URI

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Report

Lessons in resilience: Canada's digital media ecosystem and the 2019 election


Researchers, policy-makers and the public at large are paying more attention to the threats that disinformation and other forms of online media manipulation pose to democratic institutions and political life. Coming after a number of international elections where disinformation was a serious problem, the authors of this report were able to learn from the tactics...
Report

Weaponised deep fakes: national security and democracy


A deep fake is a digital forgery created through deep learning (a subset of AI). Deep fakes can create entirely new content or manipulate existing content, including video, images, audio and text. This paper argues that policymakers face a narrowing window of opportunity to minimise the consequences of weaponised deep fakes.
Report

More news is good news: the case against restricting broadcast journalism


In light of the issues presented by ACMA’s inquiry and the debate around news and the media more broadly, this report outlines the case against further regulation of broadcasting, as well as several recommendations on the way in which policy-makers can create a stronger news landscape.
Report

Data voids: where missing data can easily be exploited


This paper offers some basic background on search engines, before discussing the different types of data voids that appear in search engines and adjacent recommender systems, the challenges that search engines face when they encounter data voids, and the ways data voids can be exploited by media manipulators with ideological, economic, or political agendas.
Briefing paper

Trust your eyes? Deepfakes policy brief


Deepfakes are a new and powerful tool for falsehood. This paper argues that their effect will depend not only on how persuasive they are, but also on the timing and credibility of the repudiation of a deepfake.