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Community structure for efficient information flow in ‘ToS;DR’, a social machine for parsing legalese

Community structure for efficient information flow in ‘ToS;DR’, a social machine for parsing legalese
Community structure for efficient information flow in ‘ToS;DR’, a social machine for parsing legalese
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.
Binns, Reuben
93947060-2eed-403c-a717-7e2dc9bbd370
Matthews, David
aa7163b8-088e-4887-b1e9-a05082182304
Binns, Reuben
93947060-2eed-403c-a717-7e2dc9bbd370
Matthews, David
aa7163b8-088e-4887-b1e9-a05082182304

Binns, Reuben and Matthews, David (2014) Community structure for efficient information flow in ‘ToS;DR’, a social machine for parsing legalese. SOCM 2014: 2nd International Workshop on the Theory and Practice of Social Machines @ WWW2014, , Seoul, Korea, Republic of. 07 Apr 2014. 3 pp . (doi:10.1145/2567948.2578833).

Record type: Conference or Workshop Item (Paper)

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.

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More information

Published date: 7 April 2014
Venue - Dates: SOCM 2014: 2nd International Workshop on the Theory and Practice of Social Machines @ WWW2014, , Seoul, Korea, Republic of, 2014-04-07 - 2014-04-07
Organisations: Faculty of Business, Law and Art

Identifiers

Local EPrints ID: 367295
URI: http://eprints.soton.ac.uk/id/eprint/367295
PURE UUID: 574dc022-6304-47f8-8ade-526aa295466e

Catalogue record

Date deposited: 29 Jul 2014 08:47
Last modified: 14 Mar 2024 17:27

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Contributors

Author: Reuben Binns
Author: David Matthews

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