Patching Gender: Non-binary Utopias in HCI. - Katta Spiel; Os Keyes; Pinar Barlas (CHI Extended Abstracts, 2019)

Queer(ing) HCI: Moving Forward in Theory and Practice. - Katta Spiel; Os Keyes; Ashley Marie Walker; Michael A. DeVito; Jeremy P. Birnholtz; Emeline Brulé; Ann Light; Pinar Barlas; Jean Hardy; Alex A. Ahmed; Jennifer A. Rode; Jed R. Brubaker; et al. (CHI Extended Abstracts, 2019)

How Do We Talk about Other People? Group (Un)Fairness in Natural Language Image Descriptions. - Jahna Otterbacher; Pinar Barlas; Styliani Kleanthous; Kyriakos Kyriakou (HCOMP, 2019)

Social B(eye)as: Human and Machine Descriptions of People Images. - Pinar Barlas; Kyriakos Kyriakou; Styliani Kleanthous; Jahna Otterbacher (ICWSM, 2019)

Fairness in Proprietary Image Tagging Algorithms: A Cross-Platform Audit on People Images. - Kyriakos Kyriakou; Pinar Barlas; Styliani Kleanthous; Jahna Otterbacher (ICWSM, 2019)

What Makes an Image Tagger Fair? - Pinar Barlas; Styliani Kleanthous; Kyriakos Kyriakou; Jahna Otterbacher (UMAP, 2019)

Bursting the Bubble: Tool for Awareness and Research about Overpersonalization in Information Access Systems. - Antrea Chrysanthou; Pinar Barlas; Kyriakos Kyriakou; Styliani Kleanthous; Jahna Otterbacher (IUI Companion, 2020)

OPIAS: Over-Personalization in Information Access Systems. - Pinar Barlas; Kyriakos Kyriakou; Antrea Chrysanthou; Styliani Kleanthous; Jahna Otterbacher (UMAP (Adjunct Publication), 2020)

To "See" is to Stereotype: Image Tagging Algorithms, Gender Recognition, and the Accuracy-Fairness Trade-off. - Pinar Barlas; Kyriakos Kyriakou; Olivia Guest; Styliani Kleanthous; Jahna Otterbacher (Proc. ACM Hum. Comput. Interact., 2020)

Person, Human, Neither: The Dehumanization Potential of Automated Image Tagging. - Pinar Barlas; Kyriakos Kyriakou; Styliani Kleanthous; Jahna Otterbacher (AIES, 2021)

It's About Time: A View of Crowdsourced Data Before and During the Pandemic. - Evgenia Christoforou; Pinar Barlas; Jahna Otterbacher (CHI, 2021)

I agree with the decision, but they didn't deserve this: Future Developers' Perception of Fairness in Algorithmic Decisions. - Maria Kasinidou; Styliani Kleanthous; Pinar Barlas; Jahna Otterbacher (FAccT, 2021)

How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data. - Periklis Perikleous; Andreas Kafkalias; Zenonas Theodosiou; Pinar Barlas; Evgenia Christoforou; Jahna Otterbacher; Gianluca Demartini; Andreas Lanitis (CIKM, 2022)

Shifting Our Awareness, Taking Back Tags: Temporal Changes in Computer Vision Services' Social Behaviors. - Pinar Barlas; Maximilian Krahn; Styliani Kleanthous; Kyriakos Kyriakou; Jahna Otterbacher (ICWSM, 2022)

Socio-Economic Diversity in Human Annotations. - Shaoyang Fan; Pinar Barlas; Evgenia Christoforou; Jahna Otterbacher; Shazia Sadiq; Gianluca Demartini (WebSci, 2022)

Perception of fairness in algorithmic decisions: Future developers' perspective. - Styliani Kleanthous; Maria Kasinidou; Pinar Barlas; Jahna Otterbacher (Patterns, 2022)

Data Cleaning, Discard Studies, and Discretionary Power. - Pinar Barlas (AIES (2), 2024)