This question is for folks who have done some kind of computing research.

Did you ever get formal training in how to do a literature review? What about informal training?

Some options, in case that lowers the barrier to entering the conversation:

Learned in a formal course
7.3%
Learned from peers
27.3%
Learned from advisor
34.5%
Other
30.9%
Poll ended at .
As a follow-up question: what platform do you do use for search?
Google Scholar
76.9%
JSTOR/EBSCOhost/via library
0%
ArXiv
7.7%
Other
15.4%
Poll ended at .
@etosch
for computers: acm
for everything else: library search
in general: following citation chains from any work that i'm starting from
@cxli I originally had ACM in here but could only have four options, so I replaced it with other!

@cxli For context: the #acmdl frictions make systematic reviews painful. It feels borderline unusable as a research tool and is incomplete.

#googlescholar is more complete, but the accuracy of the metadata drops off. I've found that historic searches (e.g., <1950) are mostly incorrectly dated.

I was curious whether this is corroborated by research and came across: https://pmc.ncbi.nlm.nih.gov/articles/PMC7079055/
...

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@cxli Interestingly, this study (conducted in 2019) reports that the #ACMDL allows bulk download. I don't know if this feature is just hard to find or if it's been removed since then.

(Maybe @JonathanAldrich would know?)

@etosch @cxli I don't know the history but right now I think they are doing it as a defense against unauthorized LLM training and other things that act like DDOS. It can cause problems for certain kinds of academic use; given this, I'm honestly not sure it's worth the cost.
@JonathanAldrich @cxli I've had several research threads over the past 3-4 years that have more or less stalled out because while the DL seems like the best resource for them, it's just too labor intensive to manually search, click, download, refine the search, exclude papers already read, etc.
@JonathanAldrich @cxli I'm curious what their threat model is for LLMs (aside DDOS) and how that relates to their costs and revenue. Like, what I really want is a database connection and _maybe_ some UI and querying features. I'd prefer to work locally, but I could also see value in working on an ACM-hosted private notebook (which could become public up on publication). I _do not_ want an "AI research assistant." I would accept certain constrained AI/ML tools, if I understood their affordances.

@JonathanAldrich @cxli What I'm wondering is whether people like me are even the target audience for ACM DL subscriptions. If yes, then surely others would be interested in these features! If no, I'd like to know what our alternatives are.

I'd love to hear any insights you have on this, @JonathanAldrich! I really appreciate having some insight into the mechanics of these orgs.