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Leah Ajmani
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2020 – today
- 2024
- [c5]Leah Ajmani
, Logan Stapleton
, Mo Houtti
, Stevie Chancellor
:
Data Agency Theory: A Precise Theory of Justice for AI Applications. FAccT 2024: 631-641 - [i1]Leah Hope Ajmani, Jasmine C. Foriest, Jordan Taylor, Kyle Pittman, Sarah A. Gilbert, Michael A. DeVito:
Whose Knowledge is Valued?: Epistemic Injustice in CSCW Applications. CoRR abs/2407.03477 (2024) - 2023
- [j3]Leah Ajmani
, Nicholas Vincent
, Stevie Chancellor
:
Peer Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and Concentration. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-33 (2023) - [c4]Ashlee Milton
, Leah Ajmani
, Michael Ann DeVito
, Stevie Chancellor
:
"I See Me Here": Mental Health Content, Community, and Algorithmic Curation on TikTok. CHI 2023: 480:1-480:17 - [c3]Leah Ajmani
, Mo Houtti
, Jasmine C. Foriest
, Michael Ann DeVito
, Nicholas Vincent
, Isaac L. Johnson
:
Epistemic Injustice in Online Communities: Unpacking the Values of Knowledge Creation and Curation within CSCW Applications. CSCW Companion 2023: 527-531 - [c2]Leah Hope Ajmani
, Stevie Chancellor
, Bijal Mehta
, Casey Fiesler
, Michael Zimmer
, Munmun De Choudhury
:
A Systematic Review of Ethics Disclosures in Predictive Mental Health Research. FAccT 2023: 1311-1323 - 2022
- [j2]Brian James McInnis, Leah Ajmani, Steven P. Dow:
Engagement or Knowledge Retention: Exploring Trade-offs in Promoting Discussion at News Websites. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-38 (2022) - [c1]Hanlin Li, Leah Ajmani, Moyan Zhou, Nicholas Vincent, Sohyeon Hwang, Tiziano Piccardi, Sneha Narayan, Sherae Daniel, Veniamin Veselovsky:
Ethical Tensions, Norms, and Directions in the Extraction of Online Volunteer Work. CSCW Companion 2022: 273-277 - 2021
- [j1]Brian James McInnis, Leah Ajmani, Lu Sun, Yiwen Hou, Ziwen Zeng, Steven P. Dow:
Reporting the Community Beat: Practices for Moderating Online Discussion at a News Website. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 333:1-333:25 (2021)
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last updated on 2024-08-08 19:10 CEST by the dblp team
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