Problem is that some people are unequipped to deal with media in the first place. They lack tools to validate the source, or separate credible media from random people shouting in the internet.
I agree with this part of your post. And yes, timestamping would only solve a small part of the problem.
However, tools based on digital signatures -- not blockchains! -- can, in my opinion, help a bit here. Science institutions can deliver data and sign them, and the sources can be tracked completely in a completely automated fashion. I liked the Semantic Web idea, where you can link all kinds of facts together. For example: Researcher X in University Y found out that a certain indicator has the value Z. All values by all researchers could be encoded into RDF (a language to represent knowledge) and signed by the institution. [1] This is of course happening but on a smaller scale that it should and mostly in disciplines like medicine where it's absolutely necessary (in social sciences, it's more the exception than the rule, and it's mainly social sciences where "culture wars" are fought).
If all researchers in science would use open standards like RDF and digital signatures a bit more extensively, it would be much easier to create meta-studies, which are the best thing we have in the 21th century about "assessing the credibility of facts". You could search the papers for all values of Z for example, order the results by the credibility of the source, and you would have a good result about value Z.
Of course some will cry "gatekeepers!!!". And there may be loopholes where you could get a peer-reviewed study in a journal, and thus you could end up with a single result for e.g. value Z which is completely wrong. However, this won't happen that frequently, so your "automated meta-study" would still find the best result.
Now educate children at a relatively early age about "media literacy", give them those tools, and fake news would have already a much harder task. Some would still not care, but at least those that want to know truths, would have the tools at their disposal.
But blockchains? They would not fit much in that process. It's even an additional problem if people assign credibility to a Proof-of-stake "fact credibility voting" platform.
And @legiteum, I'll be very short because we have already discussed the topic of Bitcoin use cases/advantages in other threads:
- you confuse the word "L2" with centralized sidechains, but many L2s like Lightning do not fit into that model and aren't centralized at all,
- "the market has spoken" means nothing, sorry. Bitcoin usage "as money" may be a bit stagnant, but its a complex topic where volatility is a key factor and it can change at any time.
I will create a more on-topic thread about "Bitcoin use cases/advantages" soon.
And I think you should re-think your marketing strategy
[1] Some will say ChatGPT could actually do that too, but I believe these tools still are not good enough unfortunately. They could however help in categorizing studies.