@article{damadi_fairness_2023,

title = {Fairness in Socio-Technical Systems: A Case Study of Wikipedia},

author = {M. S. Damadi and A. Davoust},

editor = {Alvarez C. Marutschke D.M. Takada H.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172720004&doi=10.1007%2f978-3-031-42141-9_6&partnerID=40&md5=172c8c6ae5b09536efdf983e9be965e7},

doi = {10.1007/978-3-031-42141-9_6},

issn = {03029743},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {14199 LNCS},

pages = {84–100},

abstract = {Wikipedia content is produced by a complex socio-technical systems (STS), and exhibits numerous biases, such as gender and cultural biases. We investigate how these biases relate to the concepts of algorithmic bias and fairness defined in the context of algorithmic systems. We systematically review 75 papers describing different types of bias in Wikipedia, which we classify and relate to established notions of harm and normative expectations of fairness as defined for machine learning-driven algorithmic systems. In addition, by analysing causal relationships between the observed phenomena, we demonstrate the complexity of the socio-technical processes causing harm. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.},

note = {ISBN: 9783031421402 

Publisher: Springer Science and Business Media Deutschland GmbH},

keywords = {Algorithmics, Bias, Case-studies, Causal relationships, Cultural bias, Fairness, Gender bias, Machine learning, Machine-learning, Parallel processing systems, Sociotechnical systems, Wikipedia},

pubstate = {published},

tppubtype = {article}

}

@article{davoust_p2pedia_2015,

title = {P2Pedia: A peer-to-peer wiki for decentralized collaboration},

author = {A. Davoust and A. Craig and B. Esfandiari and V. Kazmierski},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937074110&doi=10.1002%2fcpe.3420&partnerID=40&md5=2ddd69ecde05846d0a7e71c0586bd16e},

doi = {10.1002/cpe.3420},

issn = {15320626},

year  = {2015},

date = {2015-01-01},

journal = {Concurrency and Computation: Practice and Experience},

volume = {27},

number = {11},

pages = {2778–2795},

abstract = {Existing Wiki systems such as Wikipedia depend on a centralized authority and cannot easily accommodate multiple points of view. We present P2Pedia, a social peer-to-peer wiki system, where users have their own local repository and can collaborate by creating, discovering, editing, and sharing pages with their peers but without synchronizing them. Multiple versions of each page can thus co-exist on each repository and across the network, which allows for multiple points of view. Browsing or searching the wiki thus yields multiple page versions; to help the user's page selection process, the system annotates search results with trust indicators based on the distribution of each version in the peer repositories and the topology of the social network. We describe an experimental study where the system was deployed for academic writing exercises, and we analyze the results to validate different aspects of this collaboration principle. © 2014 John Wiley & Sons, Ltd.},

note = {Publisher: John Wiley and Sons Ltd},

keywords = {Academic writings, Collaboration, decentralization, Multiple points, Page selection, Peer to peer, Peer to peer networks, Wiki, Wikipedia},

pubstate = {published},

tppubtype = {article}

}