Recommendations on adapting crowdsourcing to problem types

Authors: Hosseini, M., Shahri, A., Phalp, K. and Ali, R.

Journal: Proceedings - International Conference on Research Challenges in Information Science

Volume: 2015-June

Issue: June

Pages: 423-433

eISSN: 2151-1357

ISBN: 9781467366304

ISSN: 2151-1349

DOI: 10.1109/RCIS.2015.7128904

Abstract:

Crowdsourcing is a paradigm which enables and harnesses the power and wisdom of a usually large, diverse crowd in innovation, problem solving and knowledge acquisition. The scale, benefits and application areas of this traditional model are amplified by the advances of information and communication technology such as the advent of Web 2.0, which, at the same time, has increased the complexity and, hence, the need for systematic development approaches. While crowdsourcing has been successfully applied in several projects and de-facto platforms already exist for them, the research on engineering principles, methods and tools for developing a crowdsourcing project is still in the early stages. In this paper, we study the adaptation of crowdsourcing settings to fit the nature of the problem being crowdsourced. As a method, we review the literature and complement that with an online expert survey involving practitioners and researchers active in the field of crowdsourcing. We then interpret the obtained results and identify a set of recommendations on how to set up crowdsourcing to fit each of the five common categories of problems. Our results inform future crowdsourcing developers with best practice experiences on planning and configuring their projects.

http://eprints.bournemouth.ac.uk/21890/

Source: Scopus

Recommendations on Adapting Crowdsourcing to Problem Types

Authors: Hosseini, M., Shahri, A., Phalp, K. and Ali, R.

Journal: 2015 IEEE 9TH INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS)

Pages: 423-433

ISSN: 2151-1357

http://eprints.bournemouth.ac.uk/21890/

Source: Web of Science (Lite)

Recommendations on Adapting Crowdsourcing to Problem Types

Authors: Hosseini, M., Shahri, A., Phalp, K. and Ali, R.

Conference: The IEEE Ninth International Conference on Research Challenges in Information Science (RCIS’15)

Dates: 13-15 May 2015

http://eprints.bournemouth.ac.uk/21890/

Source: Manual

Preferred by: Keith Phalp, Raian Ali and Alimohammad Shahri

Recommendations on adapting crowdsourcing to problem types.

Authors: Hosseini, M., Shahri, A., Phalp, K. and Ali, R.

Journal: RCIS

Pages: 423-433

Publisher: IEEE

ISBN: 978-1-4673-6630-4

http://eprints.bournemouth.ac.uk/21890/

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7121393

Source: DBLP