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Emily Hu

@xehu.bsky.social

307 followers 180 following 29 posts

MIT researcher • 💻 I study teams, communication, & computational social science • 🎓 Stanford, Wharton X: @xemilyhu

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Emily Hu @xehu.bsky.social · 27/03/2026

When is it worth it to hire a team, compared to one competent individual? 📢 NEW PAPER (out this month in Management Science!) by me, @mark.whiting.me, @linneagandhi.bsky.social , @duncanjwatts.bsky.social, and @amaatouq.bsky.social! 🧵1/20

A screenshot of the paper's title and abstract in the journal Management Science. Title of paper: "The Task Space: An Integrative Framework for Team Research." Abstract: Research on teams spans many contexts, but integrating knowledge from heterogeneous sources is challenging because studies typically examine different tasks that cannot be directly compared. Most investigations involve teams working on just one or a handful of tasks, and researchers lack principled ways to quantify how similar or different these tasks are from one another. We address this challenge by introducing the “Task Space,” a multidimensional space in which tasks—and the distances between them—can be represented formally, and use it to create a “Task Map” of 102 crowd-annotated tasks from the published experimental literature. We then demonstrate the Task Space’s utility by performing an integrative experiment that addresses a fundamental question in team research: when do interacting groups outperform individuals? Our experiment samples 20 diverse tasks from the Task Map at three complexity levels and recruits 1,231 participants to work either individually or in groups of three or six (180 experimental conditions). We find striking heterogeneity in group advantage, with groups performing anywhere from three times worse to 60% better than the best individual working alone, depending on the task context. Critically, the Task Space makes this heterogeneity predictable: it significantly outperforms traditional typologies in predicting group advantage on unseen tasks. Our models also reveal theoretically meaningful interactions between task features; for example, group advantage on creative tasks depends on whether the answers are objectively verifiable. We conclude by arguing that the Task Space enables researchers to integrate findings across different experiments, thereby building cumulative knowledge about team performance.

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Emily Hu @xehu.bsky.social · 26/07/2025

If you're at @aomconnect.bsky.social #AOM2025, come check out our panel on NLP in organizations, featuring @dholtz.bsky.social, Sameer Srivastava, @williambrady.bsky.social, @mikeyeomans.bsky.social & me! We'll explore topics including hiring, cooperation, agency, and moral outrage -- don't miss it!

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Emily Hu @xehu.bsky.social · 19/02/2025

Our paper is out today in @pnas.org! 🎉 In a large-scale experiment on a YouTube-like platform, we find that giving people politically “slanted” video recs doesn’t shift beliefs or viewing behaviors. In other words, online filter bubbles may not be as polarizing as we think…

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Reposted by Emily Hu

Mike Yeomans @mikeyeomans.bsky.social · 25/11/2024

Emily Hu starting off the last session at #SJDM with a bang! Text analysis for JDM

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Reposted by Emily Hu

Dan Goldstein @dggoldst.bsky.social · 25/11/2024

Next up @xehu.bsky.social @sdpbht.bsky.social @mikeyeomans.bsky.social

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Emily Hu @xehu.bsky.social · 25/07/2024

Can computational tools, like LLM’s, turn segmentation algorithms, and NLP, improve theorizing in management? 💻💭Join our symposium on 8/12/24 @ 11:30 AM at the Hyatt Regency Chicago: Burnham Room! Feat. me, Burint Bevis, Mohammed Alsobay, Gus Cooney, Laurie Weingart, and Randall Peterson! #AOM2024

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Emily Hu @xehu.bsky.social · 10/10/2023

hello world! 🌤️ Just hopped over from the former bird habitat 🐦 drop me recs for people to follow, especially for research in social science / computer science!

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