Stanford's Symbolic Systems Program is hiring a three-year lecturer position: https://academicjobsonline.org/ajo/program/29530
Michael Bernstein
@msbernst@hci.social
mastodon
4.5.9
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
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Joined May 03, 2022
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Jan 03, 2025
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Jan 02, 2025
Big congratulations to Helena Vasconcelos on winning a 2025 CRA Outstanding Undergraduate Researcher Award! https://cra.org/about/awards/outstanding-undergraduate-researcher-award/
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Nov 11, 2024
Coming very soon: #cscw2024 panel on "Is Human-AI Interaction CSCW?" alongside @asb@hci.social, @jbigham@hci.social, @andresmh@hci.social, and Merrie Morris!
https://programs.sigchi.org/cscw/2024/program/content/179232
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Nov 02, 2024
@andresmh@hci.social @lindsay@hci.social @julian@fietkau.social yes, I think it’s also about everyone knowing that everyone has committed! I agree that providing the nudges for your friends would definitely work even better. “Hey Andrés, everyone wants to hear your hot take on…”
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Nov 01, 2024
A reviewer called @lindsay's work "a rare example of a 'full stack' CSCW paper. It is an unusual system paper that feels theoretically motivated and is evaluated experimentally against a meaningful control."
Congratulations, @lindsay!
View full thread on hci.social
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Nov 01, 2024
This paper argues that online spaces become ghost towns because it's too easy to lurk without contributing, and that asking people to regularly re-commit—or the incoming messages start getting muted—reverses the trend. arxiv.org/abs/2410.23267
It works! #cscw2024 paper by @lindsay@hci.social
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Mar 17, 2024
You just got asked to review another paper; your third emoji is your review.
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
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Feb 25, 2024
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Feb 22, 2024
@andresmh@hci.social Yes, the main difference is that the network is at best secondary and possibly just nonexistent. For example, you can follow on TikTok, but it's not a main driver of the FYP.
In theory, you can algorithmically rank any threaded design: spaces (Reddit), network (FB/Insta feed), or commons (TikTok FYP). Commons-based designs have few options beyond algorithmic ranking, though.
And yeah, when there's a bounded space, paid subscriptions to gain access is a clear metaphor.
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
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Feb 22, 2024
@wollman @axz @karger Yup, it's in there! Though would love to hear any additional color you can add to the story.
View full thread on hci.social
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Feb 21, 2024
Our argument is that design patterns largely cluster within cells of the Form-From design space. For example, threaded spaces commonly utilize upvotes, threaded networks often use resharing, and flat networks typically require posting on a "wall" rather than a central feed.
If you don't like our 2x3 space, there's also a full 62-dimension treatment in the appendix from our inductive process, as well as a set of 11 categories those fall into. They're more useful for fine-grained distinctions.
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Feb 21, 2024
Form-From asks two questions: (1) What is the principal shape, or form, of the content: either threaded or flat? (2)~From where or from whom one might receive content, ranging from spaces to networks to the commons?
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Feb 21, 2024
So just what is this thing? It's been a long time since CSCW introduced Johansen's Time-Space matrix, and at this point a vast majority of social media would fall into the different time - different place quadrant, making it not very productive as a design or theory tool.
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Feb 21, 2024
One of my favorite little investigations was coding all the systems listed in a Wikipedia social media timeline (https://en.wikipedia.org/wiki/Timeline_of_social_media) as of when they launched with Form-From. The pattern weaves back and forth between flat systems and threaded systems over time.
View full thread on hci.social
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Feb 21, 2024
What unifies, and what distinguishes, social media designs? Are all the Twitter spinoffs actually meaningfully different designs from each other? Form-From is a design space from @axz@hci.social, myself, @karger@hci.social, and Mark Ackerman that will appear at #cscw2024 https://arxiv.org/abs/2402.05388
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Jan 11, 2024
We're looking for a broad set of scholars, ranging across qualitative and critical studies, quantitative data science or experimental research, policy, social computing platform design and deployment, and AI. Apply by February 20.
View full thread on hci.social
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Jan 11, 2024
If you're interested in AI and social media, apply for this postdoc position at
Stanford: https://hci.stanford.edu/postdoc.php
Work with faculty including @Angelec@mastodon.social (Communication), Jeanne Tsai (Psych), Jeff Hancock (Communication), @jugander@sigmoid.social (MS&E), myself (CS), Nate Persily (Law), @RobbWiller (Sociology, Psychology, Business), and Tatsu Hashimoto (CS). Postdocs get joint mentorship by a pair of faculty.
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Sep 19, 2023
I've been wrestling with the gap between HCI curricula, which tend to focus on the design process, and the big theories and ideas that animate us in HCI. Here's a model that has starting working well here for me here at Stanford: @msbernst@medium.com
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Dec 14, 2022
@Helena led this work, with collaborators Matthew Jörke, Madeleine Grunde-McLaughlin, @tobigerstenberg , me, and Ranjay Krishna. Go Helena!
View full thread on hci.social
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Dec 14, 2022
I think that this leaves us with a challenge: we don't have many explainability techniques that are substantially less work to verify than completing the task manually.
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Dec 14, 2022
Helena demonstrated through a series of five studies that if we manipulate the difficulty of the task and explanation, people do a cost-benefit tradeoff: they reduce overreliance and increase accuracy when explanations save significant effort.
View full thread on hci.social
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Dec 14, 2022
Our hunch was that many of the null results fell into a valley where the cognitive cost of verifying the AI's explanation were roughly the same as the cognitive costs of just doing the task yourself. When doing it yourself and verifying the AI are both costly, people ignore the explanations and just rely on the AI.
View full thread on hci.social
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Dec 14, 2022
Prior work has only been able to reduce overreliance by forcing people to engage critically with the AI's explanation. Helena Vasconcelos's new #cscw2023 paper finally---finally!---demonstrates that explanations _can_ reduce overreliance and increase decision-making performance even without forcing functions: https://arxiv.org/abs/2212.06823
View full thread on hci.social
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Dec 14, 2022
Despite the promise of AIs improving human decision making, a frustratingly resilient research result has found that people with AI decision-making aids are no better than people alone or AIs alone. Why? Overreliance: we go along with the AI's recommendations even when we shouldn't. Even when explainable AIs try to make it clear when the AI is wrong!
[CSCW paper thread]
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Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
Michael Bernstein
@msbernst@hci.social
Stanford CS prof, human-computer interaction and social computing. Surely I will be interesting and entertaining here, even though I failed to achieve this on Twitter.
hci.social
@msbernst@hci.social
·
Dec 08, 2022
@josephseering Woohoo!!!
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