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So, here's a link to my amateur math analysis that I was talking about: The preliminary findings are that to fight radicalization, a good mod...

And the corrected code:  EchoChambersAllegianceModerated.txt

As well as chamber-by-chamber analysis for simulation 2 (with neutral magnetization)  RegulatedSpeech012.png

And the chamber-by chamber breakdown for simulation 1 (with an overall negative magnetization)  RegulatedSpeech011.png

I think I fixed the bug in my code. Here's the corrected version of the position/allegiance graphs for the 12 simulations:  RegulatedSpeech010...

Just a moment, I found a bug in my code. I didn't correctly handle the extremist opinion suppression.

That slight change of targeted statements of "this one extreme position is wrong" had the effect of drastically depolarizing the populations, and (as ...

Can this regulatory approach be improved? Suppose that we were to make the following modification: • Instead of the regulator saying "both extrem...

By the way, my amateur math analysis of opinion dynamics is shaping up in a way that I hadn't quite expected. It arguably has some implications for h...

Here's the code used to run the above simulations.  EchoChambersAllegianceModerated.txt

We see that this serves to do the following: • It eliminates the dangerous extreme opinions. • It prevents the allegiances of the members from s...

And the chamber-by-chamber plots for the first simulation are plotted here:  RegulatedSpeech007.png

An attempt to limit extremism and polarization: Having observed the problems of political extremism and polarization, we're left with the questi...

And here's the text file with the code used to run the above simulations:  EchoChambersAllegiance.txt