I think that rightist, conservative viewpoints tend to be minimized, down-moderated, deleted, shouted down, and canceled, and it has the effect that those of us holding viewpoints which may contradict the prevailing winds, we need to keep our opinions close, and guard them a bit before sharing too much. Perhaps I am too cavalier about espousing such things. I certainly know this: when I say the wrong keywords over my Google Voice number, they disconnect me right quick. Call me a nutjob. Knock off my tinfoil hat.
So I think this tendency to expose a lot of left-leaning content, especially like on Wikipedia where it can easily be vacuumed up, that's going to bias any LLM that's indiscriminately trained on everything the Internet has to offer. I would suppose that you could train a differently-biased LLM by curating its content in certain ways, but perhaps you'd struggle to reach the volume of data demanded by a "Large" Language Model. I don't know.
I know for sure that every LLM I chat with has strong opinions and those opinions differ with mine. It's said that it's not really possible to dictate or train what an LLM says in a direct way, but they sure know how to hammer on those librul talking points.
If one were truly going only on facts, one would not identify with any political bias or party. Instead, one would examine each situation and idea independent of any ideology. Political groups change and vary over time with trends, so by identifying with any one group, you automatically put facts in second place.
I also think the left will change their opinion based on science much more readily.
This says less about ChatGPT's absolute political bias and more about ChatGPT's political bias as ChatGPT sees it. Or, in other words, how ChatGPT's responses compare to what ChatGPT thinks certain political leaders would say.
I'm left with more questions after reading the article and skimming the report. Is this really helpful?