Achieving Transparency: The Visible, Invisible and Divisible in Academic Accountability Networks

By Daniel Neyland. 2007

114 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a8290800656fba9c56e97234dae192c8aae3eac4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Kerryann O'Meara
2. A. Kuvaeva
3. Courtney Lennartz
4. Audrey J. Jaeger
5. Joya Misra
6. Reuben Binns
7. Emilio Ferrara
8. Won Ik Cho

Citations in the corpus

• Algorithmic Accountability and Public Reason (2017, background): “The lack of interpretability in such algorithmic decision-making systems therefore threatens the ability of decision-makers to account for their systems (Neyland, 2007; Anderson, 2011; O’Reilly & Goldstein, 2013; Burrell, 2016; Ananny & Crawford, 2017) .”
• Department Conditions and Practices Associated with Faculty Workload Satisfaction and Perceptions of Equity (2019, background): “Transparency increases sense of accountability and trust between members and leaders, facilitates perceptions of procedural and distributive justice, and leads to greater organizational commitment (Bilimoria, Joy, & Liang, 2008; Daly & Dee, 2006; Neyland, 2007; Norman, Avolio, & Luthans, 2010).”