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Followers
964
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🧰 Free analysis for Mor Naaman
Known for
📊 Post engagement
6
Avg engagement / post
0.6%
Engagement vs followers
Nov 2022
On Mastodon since
🔥 Top post: Online communities are increasingly impacted by GenAI -- and res · 27 likes + reposts
📊 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 ↗
Here is me building on CMC theories to prove @ICA_CAT -worthy
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…
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)
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…
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…
Haha Bing not quite what I had in mind
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…
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 …
#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!
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
Estimated75/100
Good
Credibility score
92%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 92% real, active audience · Low fake-follower risk.
- Engagement (~0.6% of followers engage each post) is around typical for Mastodon.
- 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
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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