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1
The Content Quality of Crowdsourced Knowledge on Stack Over..:
, In:
Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
,
Shahrour, Gheida
;
Quincey, Ed De
;
Lal, Sangeeta
- p. 330-334 , 2023
Link:
https://dl.acm.org/doi/10.1145/3625007.3627729
RT T1 <cTitle>Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining</cTitle>: T1 <Title>The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3627729&Exemplar=1&LAN=DE A1 Shahrour, Gheida A1 Quincey, Ed De A1 Lal, Sangeeta PB ACM YR 2023 K1 stack overflow K1 crowdsourcing K1 content quality K1 netiquette rules violations K1 systematic mapping study K1 Information systems K1 Human-centered computing K1 Social and professional topics K1 Software and its engineering K1 Professional topics K1 Software notations and tools K1 Software creation and management K1 Software verification and validation SP 330 OP 334 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3625007.3627729 DO https://dl.acm.org/doi/10.1145/3625007.3627729 SF ELIB - SuUB Bremen
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