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Mastodon @mor@hci.social

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Followers

966

Account age

3 yrs

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🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

4 views Here is me building on CMC theories to prove @ICA_CAT -worthy

3 views Haha Bing not quite what I had in mind

📊 Post engagement

📊 Activity & format

Posting cadence

0.2 / week

A lower-frequency account — each post lands with more weight.

Content mix

Mostly text

Recent: 10 text · 2 image · 0 video.

Follower / following

2.2×

Follows 443 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗

🔥 Top post Online communities are increasingly impacted by GenAI -- and responding to it. In this new paper we looked at the response via analysis of AI-related rules, inspired in great part by papers on Reddit Rules from @cfiesler et al and Community Archetypes from @bkeegan et al. Travis… ★ 27

Here is me building on CMC theories to prove @ICA_CAT -worthy ★ 4 Always loved the stuff at @ICA_CAT but never contributed much -- happy to be on the paper from @marianne and Madiha which received a top paper award! Great company with the other papers, too. https://hci.social/@ICA_CAT@mastodon.social/1… ★ 2 New paper preprint! How do Reddit moderators deal with AI-generated content? @travislloyd tells you all about it here: https://hci.social/@travislloyd/111500466847327538 (also, follow him on Mastodon) ★ 9 Is anyone here also on Threads? I am surprised our social computing community is not there yet. Or at least not visibly so. Wait [scary realization] are you guys STILL ON TWITTER? I hope @andresmh doesn't pull a Musk and ban me from hci.so… ★ 1 Was fun to look at Cofacts, a knowledge-sharing community in Taiwan focused on fact-checking, and how their activities compared (computationally) to professional fact-checkers. Story here. Paper at the Journal of Trust and Safety. Work le… ★ 3

Haha Bing not quite what I had in mind ★ 3 https://tsjournal.org/index.php/jots/issue/view/6 Lots of other great work in that issue (that I haven't had the time to dive into yet) Happy to share our paper that just came out in the Journal of Online Trust and Safety! We used a framework of Variety, Velocity, Veracity, and Viability to examine the effectiveness of a Taiwanese crowdsourced fact-checking community (com… ★ 5 CHI people: what are some guidelines, in your view, about what goes in an appendix and what can go in supplementary materials? E.g. a figure that is not critical to the main text but provides more info E.g. a pretest for one of the study … ★ 2 #chi2024 PSA/TIL: if you are using Overleaf and, like me, of a more advance age or optical needs, the overleaf editor font size can be changed via an option under "menu". Can also set up a dark theme while you are at it! ★ 6 OK, serious question (no trolling please). In a research study, what is a good collective phrase to refer to participants who do not identify as men? We have non-binary/other participants and would like to include them in the analysis, con…

🐘 Community & instance

Home server

hci.social

Their home server on the fediverse — the instance a creator picks signals the community they belong to.

✅ Link-verified

Verified link

Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.

On Mastodon since

Nov 2022

Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.

👁️Averages 6 views per post.

📤Posts about 0.2× per week.

🕵️ Fake follower check

Estimated

52/100

Fair Credibility score

76%

Mixed Real audience

Medium Fake-follower risk

High Data confidence

Est. 76% real, active audience · Medium fake-follower risk.
Low engagement (~0.6% of followers engage each post) — a sign of an inflated or inactive audience.
Verified account.
Established account (3+ years old).

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

About

Information Science Faculty at Cornell Tech focusing on our information ecosystem’s trustworthiness, and its impact on democracy. Taller in person. Still on Twitter at @informor.

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Michael Friedrich 🦊 16%

Miles Sabin 16%

Esther Schindler 15%

alfred 12%

DJ🌞:donor: 12%

JT Leskinen 10%

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Esther Schindler

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@dnsmichi@crashloop.social

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Known for

📊 Post engagement

📊 Activity & format

Recent posts

🐘 Community & instance

💡 Facts

🕵️ Fake follower check

About

🔀 Audience overlap

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