Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private Information

Julia Hanson, Miranda Wei, Sophie Veys, Matthew Kugler, Lior Strahilevitz, Blase Ur. Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private Information. In Regina Bernhaupt, Florian 'Floyd' Mueller, David Verweij, Josh Andres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, Alix Goguey, Pernille Bjøn, Shengdong Zhao, Briane Paul Samson, Rafal Kocielnik, editors, CHI '20: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, April 25-30, 2020. pages 1-13, ACM, 2020. [doi]

@inproceedings{HansonWVKSU20,
  title = {Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private Information},
  author = {Julia Hanson and Miranda Wei and Sophie Veys and Matthew Kugler and Lior Strahilevitz and Blase Ur},
  year = {2020},
  doi = {10.1145/3313831.3376415},
  url = {https://doi.org/10.1145/3313831.3376415},
  researchr = {https://researchr.org/publication/HansonWVKSU20},
  cites = {0},
  citedby = {0},
  pages = {1-13},
  booktitle = {CHI '20: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, April 25-30, 2020},
  editor = {Regina Bernhaupt and Florian 'Floyd' Mueller and David Verweij and Josh Andres and Joanna McGrenere and Andy Cockburn and Ignacio Avellino and Alix Goguey and Pernille Bjøn and Shengdong Zhao and Briane Paul Samson and Rafal Kocielnik},
  publisher = {ACM},
  isbn = {978-1-4503-6708-0},
}