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 re: citation chains.

Ever notice that older papers have fewer citations? Is it because there's been more growth in the field? Or is because citation practices have become bloated at best and polluting at worst?

Put another way: perhaps citation practices perform one function during review but two (possibly conflicting) functions once published?

@etosch @cxli I approached citations differently. I wanted to know if cross field citations were beneficial, the only paper I've found for that is:

https://journals.sagepub.com/doi/10.1177/2329496514540131

@shapr @cxli In a lot of ways, computer science isn't exactly a "field." It's unclear what phenomena computer scientists study; classically the answer was "computation" but IMO that's quite a stretch for the vast majority of us to claim. I'd say most of the computer scientists who study computation could just as easily be called mathematicians, philosophers, or logicians, depending on their phenomenological focus.
@shapr @cxli Of course, disciplinary differentiation is a new concept and one that is more about politics than some kind of taxonomy of disciplines. In that context, citation practices are also political.
@shapr @cxli All of that is to say that there are forces at play that incentivize cross-disciplinary citation when it confers legitimacy on an interdisciplinary project and forces that discincentivize cross-disciplinary citation when it might attract accusations of epistemic trespassing.