short-paper

Social machines in practice: solutions, stakeholders and scopes

Authors:

Clare J. Hooper,

James HendlerAuthors Info & Claims

WebSci '16: Proceedings of the 8th ACM Conference on Web Science

Pages 156 - 160

https://doi.org/10.1145/2908131.2908176

Published: 22 May 2016 Publication History

Abstract

This paper frames social machines as problem solving entities, demonstrating how their ecosystems address multiple stakeholders' problems. It enumerates aspects relevant to the theory and real-world practice of social machines, based on qualitative observations from our experiences building them. We frame evolving issues including: changing functionality, users, data and context; geographical and temporal scope (considering data granularity and visibility); and social scope. The latter is wide-ranging, including motivation, trust, experience, security, governance, control, provenance, privacy and law. We provide suggestions about building flexibility into social machines to allow for change, and defining social machines in terms of problems and stakeholders.

References

[1]

von Ahn, L., Maurer, B., McMillen, C., Abraham, D. and Blum, M. 2008. reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Science. 321, 5895, 465--1468. DOI= http://dx.doi.org/10.1126/science.1160379

[2]

Berners-Lee, T. and Fischetti, M. 1999. Weaving the web: The original design and ultimate destiny of the World Wide Web by its inventor. Harper, San Francisco

Digital Library

[3]

Churchman, C. W., Guest Editorial, Management Science, Vol. 14, No. 4 (December 1967)

[4]

Easley, D., & Kleinberg, J. (2010). Networks, crowds, and markets: Reasoning about a highly connected world. Cambridge University Press.

Digital Library

[5]

Hendler, J., & Berners-Lee, T. (2010). From the Semantic Web to social machines: A research challenge for AI on the World Wide Web. Artificial Intelligence, 174(2), 156--161.

Digital Library

[6]

Hooper, C. J. and Millard, D. E. (2010) Teasing Apart and Piecing Together: Towards Understanding Web-based Interactions. In: Web Science 2010, Raleigh, USA.

[7]

Hooper, C. J., Nind, M., Parsons, S., Power, A., Collis, A. (2015) Building a Social Machine: Co-designing a TimeBank for Inclusive Research. In: Proceedings of ACM Web Science 2015, Oxford, UK.

Digital Library

[8]

Hooper, C. J., Pickering, J. B., Prichard, J., Ashleigh, M. (2015) TRIFoRM Final Report: TRust in IT: Factors, metRics, Models. 2015. IT as a Utility Network.

[9]

Kalogiros, C., Courcoubetis, C., Stamoulis, G. D., Boniface, M., Meyer, E. T.,. .. & Stiller, B. (2011). An approach to investigating socio-economic tussles arising from building the future internet (pp. 145--159). Springer Berlin Heidelberg.

Digital Library

[10]

Pariser, E. (2011). The filter bubble: What the Internet is hiding from you. Penguin UK.

Digital Library

[11]

Passani, A., Monacciani, F., Van Der Graaf, S., Spagnoli, F., Bellini, F., Debicki, M., & Dini, P. (2014). SEQUOIA: A methodology for the socio-economic impact assessment of Software-as-a-Service and Internet of Services research projects. Research Evaluation, 23(2), 133--149.

[12]

De Roure, D., Hooper, C. J., Meredith-Lobay, M., Page, K., Tarte, S., Cruickshank, D. and De Roure, C. 2013. Observing Social Machines part 1: what to observe?. In 22nd international conference on World Wide Web companion (WWW '13 Companion). Geneva, Switzerland, 901--904

Digital Library

[13]

De Roure, D., Hooper, C. J., Page, K., Tarte, S., Willcox, P. (2015) Observing Social Machines Part 2: How to Observe? In: Proceedings of ACM Web Science 2015, Oxford, UK.

Digital Library

[14]

Shadbolt, N. R., Smith, D. A., Simperl, E., Van Kleek, M., Yang, Y., & Hall, W. (2013, May). Towards a classification framework for social machines. In Proceedings of the 22nd international conference on World Wide Web companion (pp. 905--912).

Digital Library

[15]

Tinati, R., Luczak-Roesch, M., Simperl, E., & Shadbolt, N. (2014, June). Motivations of citizen scientists: A quantitative investigation of forum participation. In Proceedings of the 2014 ACM conference on Web science (pp. 295--296). ACM.

Digital Library

Cited By

Smart PO’Hara KHall W(2021)Applying mechanical philosophy to web science: The case of social machinesEuropean Journal for Philosophy of Science10.1007/s13194-021-00388-z11:3Online publication date: 19-Jul-2021
https://doi.org/10.1007/s13194-021-00388-z
Lemos de Souza B(2020)Ontology of Social Machines2020 15th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI49556.2020.9140830(1-4)Online publication date: Jun-2020
https://doi.org/10.23919/CISTI49556.2020.9140830
Brito Kde Lima AFerreira Sde Arruda Buregio VGarcia Vde Lemos Meira S(2020)Evolution of the Web of Social Machines: A Systematic Review and Research ChallengesIEEE Transactions on Computational Social Systems10.1109/TCSS.2019.29612697:2(373-388)Online publication date: Apr-2020
https://doi.org/10.1109/TCSS.2019.2961269
Show More Cited By

Index Terms

Social machines in practice: solutions, stakeholders and scopes
1. Information systems
  1. Information systems applications

Recommendations

Observing Social Machines Part 2: How to Observe?
WebSci '15: Proceedings of the ACM Web Science Conference

Social machines are increasingly attracting study. In our paper "Observing Social Machines Part 1: what to observe?" we scoped the task of observing them. Several exercises that have followed have further informed our thinking and methodologies. Here, ...
Constructed identity and social machines: a case study in creative media production
WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

Current discussions of social machines rightly emphasise a human's role as a crucial part of a system rather than a user of a system. The human `parts' are typically considered in terms of their aggregate outcomes and collective behaviours, but human ...
Political machines: a framework for studying politics in social machines
Abstract
In the age of ubiquitous computing and artificially intelligent applications, social machines serves as a powerful framework for understanding and interpreting interactions in socio-algorithmic ecosystems. Although researchers have largely used it ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

WebSci '16: Proceedings of the 8th ACM Conference on Web Science

May 2016

392 pages

ISBN:9781450342087

DOI:10.1145/2908131

General Chairs:
Wolfgang Nejdl
Leibniz University Hannover & L3S Research Center, Germany
,
Wendy Hall
University of Southampton, UK
,
Program Chairs:
Paolo Parigi
Stanford University
,
Steffen Staab
University of Koblenz, Germany

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 May 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Funding Sources

EPSRC

Conference

WebSci '16

Sponsor:

SIGWEB

WebSci '16: ACM Web Science Conference

May 22 - 25, 2016

Hannover, Germany

Acceptance Rates

WebSci '16 Paper Acceptance Rate 13 of 70 submissions, 19%;

Overall Acceptance Rate 245 of 933 submissions, 26%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
129
Total Downloads

Downloads (Last 12 months)7
Downloads (Last 6 weeks)0

Reflects downloads up to 12 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Smart PO’Hara KHall W(2021)Applying mechanical philosophy to web science: The case of social machinesEuropean Journal for Philosophy of Science10.1007/s13194-021-00388-z11:3Online publication date: 19-Jul-2021
https://doi.org/10.1007/s13194-021-00388-z
Lemos de Souza B(2020)Ontology of Social Machines2020 15th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI49556.2020.9140830(1-4)Online publication date: Jun-2020
https://doi.org/10.23919/CISTI49556.2020.9140830
Brito Kde Lima AFerreira Sde Arruda Buregio VGarcia Vde Lemos Meira S(2020)Evolution of the Web of Social Machines: A Systematic Review and Research ChallengesIEEE Transactions on Computational Social Systems10.1109/TCSS.2019.29612697:2(373-388)Online publication date: Apr-2020
https://doi.org/10.1109/TCSS.2019.2961269
Smart PMadaan AHall W(2018)Where the smart things are: social machines and the Internet of ThingsPhenomenology and the Cognitive Sciences10.1007/s11097-018-9583-xOnline publication date: 17-Jul-2018
https://doi.org/10.1007/s11097-018-9583-x
Santos ELima F(2017)LBSociamProceedings of the 9th International Conference on Management of Digital EcoSystems10.1145/3167020.3167045(162-167)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3167020.3167045

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents