@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},

publisher = {Springer Science and Business Media Deutschland GmbH},

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},

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{renaud_use_2011,

title = {The use of virtual reality in clinical psychology research: Focusing on approach and avoidance behaviors},

author = {P. Renaud and S. Chartier and P. Fedoroff and J. Bradford and J. L. Rouleau and J. Proulx and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105014138805&doi=10.4018%2F978-1-60960-561-2.ch805&partnerID=40&md5=753e4060a90690ea0579eecb0f92ebcf},

doi = {10.4018/978-1-60960-561-2.ch805},

issn = {978-160960562-9 (ISBN); 978-160960561-2 (ISBN)},

year  = {2011},

date = {2011-01-01},

journal = {Clinical Technologies: Concepts, Methodologies, Tools and Applications},

pages = {2073–2093},

abstract = {This chapter presents research that is laying a foundation for new simulation applications that promise learning-oriented treatments for mental health conditions. After presenting background on their technologies and measurement techniques, the authors describe experimental applications of this approach. Analysis of negative and positive responses to virtual reality (VR) stimuli, as well as their complex composites, can lead to a better understanding of patient responses, including fundamental perceptual and cognitive causal relationships. Measuring patients' dynamic parameters in VR simulations can possibly lead to new treatment approaches for psychopathologies The biological and behavioral feedback obtained by virtual mediation, based on parameters of the perceptivo-motor dynamics such those described in this chapter, represents a promising avenue for future investigation. © 2011 by IGI Global. All rights reserved.},

keywords = {Approach behaviours, Avoidance behaviour, Bioinformatics, Causal relationships, Clinical research, Complex composites, Experimental application, Health condition, Measurement techniques, Mental health, Patient response, Patient treatment, Psychophysiology, Simulation applications, Virtual environments, virtual reality},

pubstate = {published},

tppubtype = {article}

}