BibTeX record conf/www/VieiraV21

download as .bib file

@inproceedings{DBLP:conf/www/VieiraV21,
  author       = {Carolina C. Vieira and
                  Marisa Vasconcelos},
  editor       = {Jure Leskovec and
                  Marko Grobelnik and
                  Marc Najork and
                  Jie Tang and
                  Leila Zia},
  title        = {Using Facebook Ads Data to Assess Gender Balance in {STEM:} Evidence
                  from Brazil},
  booktitle    = {Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia,
                  April 19-23, 2021},
  pages        = {145--153},
  publisher    = {{ACM} / {IW3C2}},
  year         = {2021},
  url          = {https://doi.org/10.1145/3442442.3453456},
  doi          = {10.1145/3442442.3453456},
  timestamp    = {Mon, 07 Jun 2021 14:34:36 +0200},
  biburl       = {https://dblp.org/rec/conf/www/VieiraV21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.