Crowdsourced Policy Input
Crowdsourced Policy Input is a scholarly contribution consisting of a method, model, framework, theory, construct, dataset, task, or metric that systematically incorporates public participation through digital platforms to inform, shape, or evaluate policy formulation within the domain of online public consultation.
11
Publications
540
Citations
28
Authors
19
Institutions
Publications per year
2017–2026
4
Parents
11
Crowdsourcing Annotations for Websites' Privacy Policies
Shomir Wilson, Florian Schaub, Rohan Ramanath et al. · 2016 · 85 citations · Full text
1–5 of 11
28
4
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 28
19
Carnegie Mellon University
Pittsburgh, United States
2 h-index
16 publications
960 citations
University of Washington
Seattle, United States
2 h-index
2 publications
130 citations
Stanford University
Stanford, United States
2 h-index
3 publications
142 citations
Decision Sciences (United States)
Fort Walton Beach, United States
1 h-index
1 publications
66 citations

University of Central Florida
Orlando, United States
1 h-index
2 publications
170 citations
Queen Mary University of London
London, United Kingdom
1 h-index
2 publications
96 citations
Seattle University
Seattle, United States
1 h-index
1 publications
45 citations
Fundación Chile
Santiago, Chile
1 h-index
1 publications
21 citations
1–8 of 19
IPMJ · 1 publications · 32 citations
1
h-index
1 publications · 66 citations
1
h-index
Repository · 1 publications · 78 citations
1
h-index
1 publications · 11 citations
1
h-index
TWEB · 1 publications · 45 citations
1
h-index
1–5