What is it about?

As long as there has been information, there has been misinformation. During the last few years, a lot of attention has been paid to developing tools that can detect which information is reliable and which is likely to be fake or misinforming. However, we are still learning how, when, and where such advanced technologies or the work of fact-checkers around the world can help in stopping misinformation from spreading. My goal in this talk is to demonstrate that you also hold false or unreliable beliefs and argue that we need technologies that can assess the information we and others share over time. Additionally, I will discuss the benefits, challenges, and risks of using automated methods for correcting people when they share misinformation.

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Why is it important?

The majority of people believe that misinformation does not affect them. As a result, reducing misinformation circulation is easier if we understand our own credibility and vulnerability, as well as those around us. Also, technologies that can automatically tell what is likely to be true and what is not will not be very useful without a good understanding of how to deploy them in such a way that people would accept.

Perspectives

This article is only a teaser for the full deck of slides linked below. In that presentation, I draw on various studies that we have been doing in my research group on the problem of misinformation. These studies are both social and technical in nature. Looking at the problem from both perspectives at the same time is essential. Testing our solutions with many people who actually shared misinformation publicly and in the real world is the most reliable way to assess what works and what doesn't. In my presentation, I show various common beliefs and invite the audience to tell me which they believe to be true or false. See how well you do, by researching them yourself to find out.

Director Harith Alani

Read the Original

This page is a summary of: Have you been misinformed?, April 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3487553.3526944.
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