Content-type: text/html Downes.ca ~ Stephen's Web ~ Detecting Fake News

Stephen Downes

Knowledge, Learning, Community

Half an Hour, Dec 29, 2016

After the spate of fake news in circulation over the last year or so numerous guides have been published to help you spot fake news. Unfortunately, few of them are effective.

The reason for this - which you can spot for yourself as you look at them - is that they tend to focus on whether or not the source is authoritative. But to spot fake news, you need to focus on whether the news is authoritative.

The reason for this - and again, you can verify this for yourself - is that the authorities lie. Whether they're an old school newspaper, or just an old school, these days they all have a vested interest. They want you to believe them.

So how do you cope? That's what this article is about.

First rule: Trust no one.

Start with this. Don't believe anything just because someone says so. It doesn't matter who they are. Don't even trust me. Read this article sceptically.

It's not that there's nobody to trust. The problem is, you don't know who they are, and you don't know how far to trust them. Trust is something that has to be earned.

You can't trust someone simply because they have a degree or a collar or a title. You can't trust them simply because they own a newspaper or a corporation.

It's not that they're all untrustworthy. Many people - maybe even most people - are upstanding citizens and will tell the truth most of the time. But some won't. And the problem is, you don't know which is which. Not at first.

Second rule: Look for the evidence.

Much of what you are presented can be discounted based on this one rule alone. If the author or the teller does not present you with a reason to believe, you shouldn't believe it.

What counts as a reason to believe? Quite a few things, happily. There isn't a simple list. Different things will carry different weight. Here are some examples:

- verification. This means you can see your yourself that something is the case. If I say the house burned down last night, you can verify this by going to the house and looking for yourself. In the first three paragraphs of this article you can see to examples - I'm inviting you to verify something for yourself.

- replication. A lot of things can't be directly verified, or can only be verified after it's too late. But they're the sort of things that can be tested, and the test comes out the same way. Science works on this principle. If someone says they have produced cold fusion, they should be able to produce cold fusion again.

- confirmation. If something is true, then something else should be true. If it rains, the sidewalk gets wet. That's how you know rain is made of water. You can confirm this by looking out the window and predicting that the sidewalk will be wet. Successful predictions count as confirmation, and give you a reason to believe 'rain is made of water' is true.

- falsification. What makes confirmation work is that the predictions must be falsifiable. If the sidewalk bubbled and melted when it rained, then you would know it wasn't made of water. Acid, maybe. So something is confirmed only if it can be falsified. If there is no way a prediction could be wrong, then the prediction proves nothing.

These are all forms of direct evidence. The advantage is that they're solid. Do them right, and you have good reasons to believe. But the disadvantage is that they require personal involvement. You can't go to Syria to check things out for yourself. Prediction and falsification give you some reach, but they still depend on direct evidence at some point.

Plus, these four principles are hard to get right. There are numerous ways to get them wrong. Thus, you need to add another rule.

Third rule:Avoid error.

Avoiding error is partially a matter of knowledge and skill, and partially a matter of ordinary prudence and caution. There are numerous errors you can make - I list many f them in my Guide to the Logical Fallacies - but you don't have to be an expert to avoid common sense errors.

Here are some of the major sources of error:
 
- prediction. We make predictions using logic and mathematics. Logic and mathematics are skills that can be learned (and verified directly for accuracy). You can't fake this; you have to do the work. Deduction, induction, calculation, probability - get them right and you've eliminated a huge percentage of the errors other people make.

- precision. Being precise is a virtue. If you are predicting something, then  measuring the result, you need to be sure you're measuring the same thing you are predicting. Vague terms (like 'knowledge', 'value', etc) are difficult to evaluate. Non-standard units of measurement ('serving', 'car length') cannot be measured. If there are sources, are the sources named?

- relevance. It's easy to become distracted from the subject at hand.It's important to focus on the message, not the messenger. It's important to focus on whether something is true or false, not why or why not you want it to be true.

- perspective. We are fooled by our senses. We think we see the whole truth when we only see part of it. We live within a world view that shapes our perceptions and affects our judgement. Did we see a tiger in the bush, or just black and orange stripes? It's easy to jump to conclusions through bias and prejudice.

Take your time. Don't jump to conclusions; evaluate the evidence. Even if you are not an expert in reasoning or perspective, be aware that these are sources of error. Practice making your own inferences and predictions.

Fourth rule: Take names.

You are finally in a position where you can begin to trust others. After all, the proposition that someone is trustworthy is just another fact about the world you can learn for yourself.

Use the four mechanisms above to assess the trustworthiness of people:

- trust. How do they reach their beliefs? Do they careful observe and weigh the evidence, or do they tend to believe rumours and innuendo? Are they swayed by certain people or do they make up their own mind?

- evidence. Do they provide you with reasons to believe? Do they describe what they're seen for themselves clearly? Have you caught them lying or misrepresenting the truth? Is it the sort of thing you could have seen, had you been there? Do they have a track record of making good predictions (that could have been wrong)?

- errors. Do they avoid errors? To the best of your ability, can you determine whether they reason correctly, whether they use language clearly and directly, whether they stay on topic and talk about ideas, not people? Can they separate their own interests from the facts, and keep perspective?

- trust. Do they themselves have a network of people they can trust? Are they trusted by other people you can trust?

Final rule: Diversify.

No matter how careful you are, you can still be misled. It happens all the time - people make honest mistakes, they overlook factors they should have considered, or something may be hidden from view.

Never depend on just one source - not even your own eyes.The first thing you should do is to ask someone else, "do you see this too?"

This is what good newspapers do. They get the same information from multiple sources, and don't publish it unless they have multiple sources. When the reporter says an interview said something to them, they have an editor call the person back and confirm that they actually did say this. At least -  they used to do these things.

In a conflict, learn from both sides. That doesn't mean both sides are equally trustworthy - but without learning from both sides, you'd never be in a position to evaluate this. Get multiple points of view, if you can.

Remember - the truth isn't "in the middle". Don't treat all sides equally if they're not all trustworthy.

That's it! Yes, we could explore each of these subjects in more depth, and as someone serious about detecting fake news, you should. There are no shortcuts - you need to study and practice.



Stephen Downes Stephen Downes, Casselman, Canada
stephen@downes.ca

Copyright 2024
Last Updated: Dec 25, 2024 08:29 a.m.

Canadian Flag Creative Commons License.

Force:yes