Jeffrey Gleason

Khoury College of Computer Sciences, Northeastern University

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Hi! I’m a 4th-year Computer Science PhD candidate at Northeastern’s Khoury College, where I’m advised by Christo Wilson.

I am a computational social scientist interested in questions about the governance of online platforms. My work focuses on 1) the economic power of online platforms and 2) trust and safety on online platforms. Methodologically, I’m interested in the design of experiments and observational causal inference. I was a PhD Data Science Intern on Roblox’s Trust and Safety team in summer 2024.

Before Northeastern, I worked on identifying and characterizing disinformation campaigns at New Knowledge/Yonder and on time series forecasting and remote sensing research at Kungfu.ai.

news

Sep 26, 2024 I co-presented Intoduction to the National Internet Observatory at the Trust and Safety Research Conference.
Jun 19, 2024 I’m joining Roblox’s Trust and Safety team as a PhD Data Science intern this summer! Our research was accepted at the Conference on Digital Experimentation.
Jun 06, 2024 Our paper Market or Markets? Investigating Google Search’s Market Shares Under Vertical Segmentation won the Best Paper Honorable Mention Award at ICWSM 2024! We quantified Google’s market share and gatekeeping power in different vertical search markets (i.e. news, health, travel).
Jan 23, 2024 Our paper Perceptions in Pixels: Analyzing Perceived Gender and Skin Tone in Real-world Image Search Results was accepted at WWW 2024
Nov 16, 2023 Our papers Market or Markets? Investigating Google Search’s Market Shares Under Vertical Segmentation and Search Engine Revenue from Navigational and Brand Advertising were accepted at ICWSM 2024.
Jun 20, 2023 I’m working as a data scientist on the National Internet Observatory this summer.
Jun 08, 2023 Our paper Google the Gatekeeper: How Search Components Affect Clicks and Attention won the Best Paper Award at ICWSM 2023! We estimated the effects of Google Search components (e.g. featured-snippets and shopping-ads) on user behavior using observational causal inference.