Fake, or false or incorrect, claims are made in the media with the intention of either scamming people or influencing peoples' views, which can be political, health or environmental. This creates fake news.
Fake news is made to look like content that can can be trusted. But it cannot be trusted because it tricks us into believing something that is actually false.
There are two types of fake news:
Fake news is not content you simply disagree with, such as a different viewpoint or information that does not support your opinion. Fake news is content that can be verified as false.
Fake news is harmful. It spreads false information about things, misleading people and negatively impacting on their future course of action. It can also cause financial, identity and reputational loss though scams.
Fake news is either created by humans or generated by artificial intelligence (AI).
Regardless of how fake news is created, it is equally harmful. Anything that is accessed on news media or social media still needs to be questioned and scrutinised through fact checking.
The Fake news (created by humans) box and the Fake news (AI-generated) box on this page provide advice on how to spot, or identify, fake news.
For other resources on fact checking and spotting fake news, please see the Other resources for fact checking page of this guide.
Although it is common for people to use AI to generate fake news, people can still create fake news themselves without the use of AI in:
The rest of the tabs within this box provide tips on how to spot fake news.
Move away from the content and check the website it comes from:
The following website provides a comprehensive list of current and former (now defunct) websites that circulate fake news:
Do a search on the author and check their credibility:
Do a search on multiple trustworthy and credible sources and see what they report on. Do they:
Is the content meant to be satire or comedy? Sometimes such content is shared or talked about by others as being factual or true, even though it is false and an exaggeration of the truth.
AI generated content is becoming increasingly sophisticated and more difficult to detect.
There are no 100% accurate AI detection tools. These tools may not detect hallucinations, overthinking or algorithmic bias. They can produce false positives, false negatives, or only function accurately on content produced by specifically branded AI generators.
Some well known AI detectors are:
Fake news articles created with the use of AI, intended to spread false opinions, propaganda, disinformation and to erode trust in institutions such as fair election processes.
On their How to spot fake and AI images page, ABC News provides examples of AI generated fake news and descriptions of how it was produced, along with suggestions on how to detect fake news.
Truth or Fake | Los Angeles protests: How AI and chatbots are feeding fake news (4:41 mins) by FRANCE 24 English (YouTube).
Digital images of a real person that have been created or edited to portray a realistic but false depiction of them. Deepfake image technology is advancing rapidly and it can be difficult to detect, but there are sometimes signs that can help identify lower-tech fake photos and videos.

Figure 1: Image created by RMIT University Library using Reve Image from the prompt:
Donald Trump, Joe Biden, Dolly Parton, Angelina Jolie, Vladimir Putin and Rebel Wilson laughing and having a picnic in a garden.
Fact check: How to spot AI-generated images (0:58 mins) by DW News (YouTube).
Digitally created or edited videos aimed at influencing public opinion, damage reputations, or commit fraud. High quality fake videos can be created from a single image.
This new AI deepfake tool crushes everything (ACTUALLY DANGEROUS) (10:10 mins) by AI Upload (YouTube).
Leslie Katz from Forbes provides an overview of the OmniHuman software developed by ByteDance which can create a video from a single image. Please see:
Deepfake audio includes:
Voice that is created by AI from a small sample of speech and is deliberately made to sound human. They can be generated as text-to-speech (text converted to audio) or speech-to-speech (audio altered to a different voice).
Other sound that can imitate natural or human-created sound. For example, sounds of nature, music, traffic/transport, etc.
Audio 1. Sound effect created by RMIT University Library using MyEdit from the prompt: children laughing and playing.
