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Michael Bernstein

Michael Bernstein

🔄 Data last refreshed 26 minutes ago
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Followers
932
Account age
4 yrs
🧰 Free analysis for Michael Bernstein
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

Known for

📊 Post engagement

11
Avg engagement / post
1.2%
Engagement vs followers
May 2022
On Mastodon since

🔥 Top post: What unifies, and what distinguishes, social media designs? Are · 31 likes + reposts

📊 Activity & format

Posting cadence
0.26 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 5 text · 7 image · 0 video.
Follower / following
4.1×
Follows 227 back. A more reciprocal / networked account.
🔥 Top post 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, myself, @karger, and Mark Ackerman that will appear at #cscw2024 https://arxiv.org/abs/2402.05… ★ 31
Stanford's Symbolic Systems Program is hiring a three-year lecturer position: https://academicjobsonline.org/ajo/program/29530 ★ 6 Big congratulations to Helena Vasconcelos on winning a 2025 CRA Outstanding Undergraduate Researcher Award! https://cra.org/about/awards/outstanding-undergraduate-researcher-award/ ★ 8 Coming very soon: #cscw2024 panel on "Is Human-AI Interaction CSCW?" alongside @asb, @jbigham, @andresmh, and Merrie Morris! https://programs.sigchi.org/cscw/2024/program/content/179232 ★ 10 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! ★ 4 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/2410.2… ★ 20 You just got asked to review another paper; your third emoji is your review. ★ 6 Photo post ★ 11 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… ★ 3 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? 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 produ… 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 f…

🐘 Community & instance

Home server
hci.social
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
On Mastodon since
May 2022
An established account with real history on the platform.

💡 Facts

🗓️Joined Mastodon in 2022 — 4 years ago.
👁️Averages 11 views per post.
📤Posts about 0.3× per week.

🕵️ Fake follower check

Estimated
66/100
Good Credibility score
89%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 89% real, active audience · Low fake-follower risk.
  • Engagement (~1.2% of followers engage each post) is around typical for Mastodon.
  • Established account (4+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

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.

📸 Gallery

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