Jeffrey L. Gleason

According to our database, Jeffrey L. Gleason authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

"It's not a representation of me": Examining Accent Bias and Digital Exclusion in Synthetic AI Voice Services.

Shira Michel, Sufi Kaur, Sarah Elizabeth Gillespie, Jeffrey L. Gleason, Christo Wilson, Avijit Ghosh

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

In Suspense About Suspensions? The Relative Effectiveness of Suspension Durations on a Popular Social Platform.

Jeffrey L. Gleason, Alex Leavitt, Bridget Daly

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Market or Markets? Investigating Google Search's Market Shares Under Horizontal and Vertical Segmentation.

Desheng Hu, Muhammad Abu Bakar Aziz, Jeffrey L. Gleason, Alice Koeninger, Nikolas Guggenberger, Ronald E. Robertson, Christo Wilson

CoRR, 2024

Perceptions in Pixels: Analyzing Perceived Gender and Skin Tone in Real-world Image Search Results.

Jeffrey L. Gleason, Avijit Ghosh, Ronald E. Robertson, Christo Wilson

Proceedings of the ACM on Web Conference 2024, 2024

Market or Markets? Investigating Google Search's Market Shares under Vertical Segmentation.

Desheng Hu, Jeffrey L. Gleason, Muhammad Abu Bakar Aziz, Alice Koeninger, Nikolas Guggenberger, Ronald E. Robertson, Christo Wilson

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Search Engine Revenue from Navigational and Brand Advertising.

Jeffrey L. Gleason, Alice Koeninger, Desheng Hu, Jessica Teurn, Yakov Bart, Samsun Knight, Ronald E. Robertson, Christo Wilson

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

2023

Google the Gatekeeper: How Search Components Affect Clicks and Attention.

Jeffrey L. Gleason, Desheng Hu, Ronald E. Robertson, Christo Wilson

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2019

Using Deep Networks and Transfer Learning to Address Disinformation.

Numa Dhamani, Paul Azunre, Jeffrey L. Gleason, Craig Corcoran, Garrett Honke, Steve Kramer, Jonathon Morgan

CoRR, 2019

Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks.

Paul Azunre, Craig Corcoran, Numa Dhamani, Jeffrey L. Gleason, Garrett Honke, David Sullivan, Rebecca Ruppel, Sandeep Verma, Jonathon Morgan

CoRR, 2019

Disinformation: Detect to Disrupt.

Craig Corcoran, Renee DiResta, David Morar, Numa Dhamani, David Sullivan, Jeffrey L. Gleason, Paul Azunre, Steve Kramer, Becky Ruppel

Proceedings of the 2019 Truth and Trust Online Conference (TTO 2019), 2019