In machine learning we often use regularizers to reduce bias (amongst many other neat things that it can do), and I've been thinking if similar techniques could be applied to help us humans to reduce bias and strengthen our belief system against malicious information.
Some information contain objective facts (e.g. climates change, vaccination), thus citing reputable research is often enough.
Though many of the political and economical belief have little objective truth to them (e.g. government regulation, taxation plan), and it is useless to discuss bias, we can only hope to prevent from malicious information. Perhaps allowing both sides to show arguments can help reduce bias, but this technique is far from perfect.
Some information contain objective facts (e.g. climates change, vaccination), thus citing reputable research is often enough.
Though many of the political and economical belief have little objective truth to them (e.g. government regulation, taxation plan), and it is useless to discuss bias, we can only hope to prevent from malicious information. Perhaps allowing both sides to show arguments can help reduce bias, but this technique is far from perfect.