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Judging by posts and comments by graduate students in math.stackexchange.com and mathoverflow.net, I have come to the conclusion that a large part of their knowledge comes from SE sites and the Wikipedia, as opposed to traditional publications such as books and papers.

I was deeply shocked the first time I heard of a student researching the literature through Google, which spits out at least as many SE and Wikipedia answers as references to books and journals. But, of course, nowadays I do the same, certainly more often than going to the library!

Are traditional publication forms becoming obsolete, in the face of purely electronic forms? Or, contrariwise, do younger people who ignore traditional forms miss out on essential information?

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    What you learn from SE or Wikipedia does not really have much to do with what you learn from the latest journal publications. There is a lot of background information researchers need here and there, and in the old days one might go over to the library and find an advanced textbook or a monograph to catch up on things.
    – Jon Custer
    Commented Oct 6, 2020 at 16:42
  • A few years ago I heard a professor with several decades experience publishing research in probability say that when he wanted to learn the Metropolis–Hastings algorithm, he started with the Wikipedia article about it. Commented Jul 12 at 21:16

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I think wikipedia is good for mathematics topics that are fairly settled. There are few errors and the ones that do appear (I've found some) tend to disappear quickly. You can get a good overview and if you follow up on the sources provided you can get a more complete view. So, I hope students use this for background on things they need to study.

But, by its nature, it is less useful to bring you to the state of the art: stuff that isn't yet "settled".

I think SE is the opposite, in some ways. You might find answers to contemporary questions, but the sources may be less reliable. Wikipedia has many editors (formal and informal) keeping things right, SE, less so and not everyone commenting really has a good answer. So, again, I hope that grad students use it when necessary, but with caution.

If the alternative is to set for ten hours at a time in a library, pulling older and older books from the shelves, it is no contest.

But reading things and being given answers isn't the best way to gaining insight into a mathematics problem. Not deep insight, anyway. For that you need to do some work yourself.

And, as you say yourself, it is a professional approach to use such resources. You do it yourself. And, I would say "to the detriment", actually. It is a supplement and/or a place to start.

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  • I have seen PhDs be done through a list of mathoverflow questions. Commented Oct 6, 2020 at 18:25
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    @FourierFlux, anything is possible, I suppose.
    – Buffy
    Commented Oct 6, 2020 at 18:28
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    @Buffy, could you please read the comments in the original post? Thanks.
    – anon
    Commented Oct 7, 2020 at 18:40
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    @anon SE is like an eternal coffee break with a bunch of knowledgeable people across the planet. You get the informal background information, hidden tricks etc., but not the solidity of textbooks or the depth of properly vetted publications. It has its role, but it's only one part of the game. Commented Oct 8, 2020 at 1:07
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    @FourierFlux sounds like a topic for a PhD on its own. Or for a self-help book: "how to do a PhD in math in 100 SE questions". Commented Oct 8, 2020 at 1:08
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I don't have any empirical evidence to contribute relating to use of SE and Wikipedia versus traditional literature searches. However, they all have a reasonable place in academic work when used properly (i.e., in conjunction and with care). The advantage of SE and Wikipedia is that it often allows you to rapidly find details on the problem you are looking at, without necessarily knowing the name of that problem in advance. In the latter case there is also usually citation to some basic literature on the problem that can act as a starting point for a more traditional literature search. In largely non-politicised fields (e.g., mathematics, physics, chemistry, etc.) the answers on Wikipedia are usually quite reliable and well-crafted, and there is usually good referencing to some basic peer-reviewed literature.

Of course, if grad-students rely solely on SE and Wikipedia, and fail to follow this up with adequate searches of scholarly databases then this will very likely miss out on important information and references. I would think that this would be easy to spot in their research work --- e.g., by a paucity of references on a topic or failure to understand the full context of their work. This is something that good supervisors can provide guidance on, to assist the student to rapidly find material when needed, but also follow this up with in-depth research on a topic.

Traditional academic publications are all moving online/have moved online, so you would usually just search and download papers from your office now (through online subscription services with academic publishers) rather than "going to the library". Occasionally you will have to go to the university library for books, etc., that are not available online, but often you can do most of the literature search from your computer. Consequently, while the journals themselves are not becoming obsolete, printed copies of the journals are becoming rarer and foot-traffic in the library is probably also reduced.

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  • I do observe that many of the Wiki entries on sophisticated mathematical topics are literally/formally correct, but do not quite penetrate to the intention of the concept... I suspect that this comes from the relative new-ness-to-the-subject of the people enthusiastic about composing those Wiki pages, so it's not surprising, nor is it a serious failing. The point is that one will invariably receive a relative newcomer's opinion, even if generally competent. Could be worse! :) Commented Dec 3, 2021 at 23:25
  • @paul garrett: do not quite penetrate to the intention of the concept --- Although many Wikipedia math articles are excellent, I sometimes see examples of what you describe. Indeed, a few days ago I found an example by accident (I was googling for something, don't remember now). Compare the Wikipedia article for Strict differentiability (1 reference, doesn't even mention Peano, overly focused on p-adic analysis) with this and this. Commented Dec 4, 2021 at 15:28

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