AI has created ripples in the journalism industry. AI News writing faces consistent challenges of fact-checking and authenticity. In a world where digital platforms are unleashing innovative journalism practices, AI generated fake news is a challenge readers and news writers must curb in due time

1. How can You Avoid Falling Victim
to AI-Generated Fake News With
These Simple Tips

2. How can You Avoid Falling Victim to AI-Generated Fake
News With These Simple Tips?
• AI has created ripples in the journalism industry. AI News writing faces consistent
challenges of fact-checking and authenticity. In a world where digital platforms are
unleashing innovative journalism practices, AI generated fake news is a challenge
readers and news writers must curb in due time. Disinformation and hoaxes with no
real basis fall under the umbrella of fake news.
• Since AI has no human intention driving it, AI is more likely to generate fake news.
But the good news is that humans can train AI news generators for fact checking and
resource backing to ensure news authenticity. In other words, where AI generated
fake news is a challenge, AI fake news detection is the possible solution to it.

3. What are the Types of Fake News?
• Fake news and the quality of fake news are
determined by a number of factors. Fake news has
several forms and it is usually very hard to probe
into further types of fake news than the ones known
already. Usually, fake news is rapidly disseminated
and leads to a number of baseless arguments
among the readers.
• Here are some types of fake news based on their
nature:

4. • Intended Forgery
• Intended Forgery refers to hand-crafting a news piece based on personal opinions. This type
of fake news has no realistic basis and it is only done to look similar to the intended realistic
source. Moreover, it leads to the creation of false information which seems to be very
similar to authentic news.
• Biased Fact Selection
• Face Selection takes out the context from the news piece and strikes out important details of
the news. As a result, the background and news context is changed to align with a biased
goal. Biased Fact selection changes or masks the real understanding of actual news. It leads
to creating a false news impression.
• Conspiracy Theories
• Conspiracy Theories are probably one of the most widely discussed and popular forms of
fake news. These types of fake news stories portray some sort of clear guilt about
something. Conspiracy theories usually tarnish the image of someone. Conspiracy theories
are not at all based on real facts and they mute critical thinking among the readers.

5. Immoral Arguments
• Immoral Arguments allude the facade of free speech. Such arguments are beyond
the ethical and moral boundaries and they are usually not based on actual facts.
Media Manipulation
• It is one of the most sensitive and widely used tools of spreading fake news. The
preparators manipulate audio, video or any other media source to portray the
desired perspective among the viewers. Media Manipulation is highly unethical
and illegal.

6. How to Detect AI Generated Fake News?
• Asking for more details about a news article is one
of the easiest ways to detect fake news from real
news. Fake news spreaders resort to different
forms of lying and cheating to create and
disseminate false information. However, social
lying is quite difficult to master.
• Fake news contains false information and this
information shall be consistent with a huge
number of related facts. Unless fake news has
detailed information, it fails to leave an impression
of real news on readers.

7. Role of BOTS in AI Generated Fake News
• Over the past couple of years, bots have really damaged the credibility of news
sources. These “fake news bots” are responsible for amplifying and spreading
false information through automated accounts.
• Although most bots are static and most social media news platforms proactively
ban bots, there is no solid way to eradicate bot generated fake news entirely.
• Malicious bots are specifically designed to persist through the bans. Their sole
purpose is to spread harm, mislead readers, exploit information and manipulate
news platforms.

8. Can AI Eradicate Fake News?
• With so many uses of AI, one wonders whether artificial intelligence can help
humans in eradicating AI generated fake news. However, the challenge behind
this is very tricky.
• Since AI is a machine and it does not have any self-interest or intentions, AI can
not function like a human for fake news eradication. However, AI can certainly
learn. Thus, like any other machine, AI can train to meet ethical human needs.
• AI fake news detection is only going to be as good as the data used to shape its
responses. Therefore, it requires more attention on AI training for fake news
detection.

9. Training AI For Detecting
AI Generated Fake News
• The most probable way of training AI to
detect fake news is to train it over a set of
reputable news vs. a set of fake news. AI
News Generators, similarly, will only
produce more objective and real articles
only if the human author feeds it with
supporting details and correct information.
• The takeaway here is that AI news
generators and AI fake news detectors are
only as good as the data provided to them.
They can only support news generation and
detection. AI is no substitute for human
intelligence and is nowhere close to doing
so in the near future.

10. Are AI Generated Fake News a Threat to Real
News?
• Is AI more of a danger than a useful tool to detect
fake news? The answer is no.
• AI is very powerful in scanning huge volumes of
reputable facts and information. It is very
accurate in detecting even the smallest of
inconsistencies, which humans find hard to see,
from a huge data pool.
• AI is an invaluable tool in the detection of AI
generated fake news, but it can not replace the
human role in supervising the whole process.
• Techniques like Stylometry are useful in pattern
recognition from linguistic data for assigning
unknown text authorship to a specific person.
Similarly, statistical methods like the Benford test
are useful in detecting numeric forgeries to raise
awareness for double-checking facts.

11. Tips on How to Avoid Falling a
Victim to AI Generated Fake News
Check the Source
• If you’re reading an article or blog post, check where it’s
from. Is it a reputable news site? Does it have a
disclaimer? Usually, AI generated fake news does not have
a real source. Even if there are sources under the fake
news, you would quickly notice that the sources trace back
to nowhere near authenticity.
Check the Author
• If you can see who wrote the article, you can be in a better
position to see whether the news is real or fake. See the
author’s name and look them up on Google. See if the
author has any other articles or blogs posts online. Do
they seem to be writing about similar topics?

12. Check for Unusual Language
• AI-generated content often contains words that humans wouldn’t use in a particular
context. While you are reading news and find something that sounds or looks off,
immediately check the news for authenticity. News with unusual language is AI Generated
fake news. Moreover, check for spelling mistakes and grammar errors.
Check the Context
• AI-generated content often loses context as you read on and dig deeper into the news
story. If you are getting off track while reading news, you should see whether the news is
AI-generated or not.
Check for Unusual Formatting
• AI-generated content often has strange formatting which is normally not present in
human-written content.
AI Generated Fake News Are Easy to Avoid
• The above tips on detecting AI generated news are also helpful in detecting fake news
overall from the news world. Apply these tips to filter authentic news only and stay
updated with genuine information only!