Title | ||
---|---|---|
Community structure for efficient information flow in 'ToS;DR', a social machine for parsing legalese. |
Abstract | ||
---|---|---|
This paper presents a case study of 'Terms-of-Service; Didn't Read', a social machine to curate, parse, and rate website terms and privacy policies. We examine the relationships between its human contributors and machine counterparts to determine community structure and information flow. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1145/2567948.2578833 | WWW (Companion Volume) |
Keywords | Field | DocType |
information flow,human contributor,machine counterpart,efficient information flow,case study,community structure,rate website term,social machine,parsing legalese,privacy policy | Network science,Data science,Data mining,Information flow (information theory),Community structure,World Wide Web,Computer science,Privacy policy,Legal informatics,Terms of service,Parsing,Social machines | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Reuben Binns | 1 | 61 | 11.25 |
David Matthews | 2 | 0 | 0.34 |