A network-based rating system and its resistance to bribery
- Submitting institution
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The University of Warwick
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 6123
- Type
- E - Conference contribution
- DOI
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- Title of conference / published proceedings
- Twenty-Fifth International Joint Conference on Artificial Intelligence
- First page
- 301
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2016
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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I - Artificial Intelligence and Human-Centred Computing
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in one of the two top conferences in artificial intelligence, this is the first paper to study the effect of external incentives to manipulate a rating system, showing the conditions under which the system is immune to manipulation. Selected as a representative model of social choice in social networks (Trends in Computational Social Choice Handbook, 2017), the work led to funding by the French National Research Council (ANR-18-CE23-0009-01). The research generated follow-up results in algorithmic analysis (Grandi et al., AAAI 2018) and applications to reputation-based ranking systems (Saude et al., IEEE ICDM 2017).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -