Daniel Buschek Add us as a preferred source on Google
🔄 Data last refreshed 4 days ago
🤝
Make a deal with Daniel Buschek
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
507
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 analysisfor Daniel Buschek
Known for
3 views
Typical chatbots force co-writers to leave shared docs. Our #CHI2026 paper explores collaborative AI use in shared docs via 3 features:
🤖 Shared agent profiles
☑️ Repeatable tasks, triggered by users or system
💬 Agents respond in shared comments
Preprint in 🧵
w @florianlehmann
2 views
Is this average based on data or a nudge? 😄 #chi2026
📊 Post engagement
Recent posts · likes + reposts
Sep 5latest
4
Avg engagement / post
2–3
Typical post (engagement)
0.8%
Engagement vs followers
60/100
Consistent reach
Nov 2022
On Mastodon since
Half of recent posts land between 2 and 3 likes + reposts (median 3) — a dependable floor a sponsored post can count on.
🔥 Top post: Have we lost peer appreciation? 🤔 Not just at #CHI2026 I notice · 11 likes + reposts
📊 Activity & format
Posting cadence
0.3 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 9 text · 2 image · 1 video.
Follower / following
1.2×
Follows 433 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
Have you also experienced a “paradox of the perfect start” in a university (design) project? By skipping ahead to final-looking apps with AI, some student teams end up struggling to articulate their own ideas, and accidentally exclude team…
Thank you #CHI2026 for an amazing week of inspiring conversations in Barcelona!
Fun fact for #CHI2026 folks: The generated "Session Summary Podcasts" in the ACM DL "cite" the session's papers and are picked up by Google Scholar, so all papers get +1 citation automatically now...
📄 Preprint: https://arxiv.org/abs/2509.11826
Key findings (14 teams, 1 week):
📍Profiles were seen as personal territory but it's ok to interact with others' agents/tasks/comments
📍User-initative preferred
📍Thus, teams incorporated agents into social collaboration norms, rather than t…
▶
Typical chatbots force co-writers to leave shared docs. Our #CHI2026 paper explores collaborative AI use in shared docs via 3 features:
🤖 Shared agent profiles
☑️ Repeatable tasks, triggered by users or system
💬 Agents respond in shared co…
📢 Looking for current research on #HCI + #AI? Here's a categorised collection of 300+ #CHI2026 preprints, collected via arXiv:
https://dbuschek.medium.com/chi26-preprint-collection-bdbfe9492a7b
Finalising your #CHI2026 revision? Or suffering from not being allowed to do so? I've "reviewed-to-reject" one of our papers with ChatGPT, to show how this leads to bad reviews - and give ideas for responding to this: https://dbuschek.medi…
Three weeks ago, my feed filled with Grammarly ads - and I wondered: What if we took their messages seriously? My anecdotal "ad-vestigation" connects them to Human-AI interaction concepts, leading to counterfactual questions for alternativ…
While reviewing for #CHI2026, I've noticed four new writing issues in #HCI papers, likely due to an increased use of #LLMs / #AI. I describe them here - and how to fix them: https://dbuschek.medium.com/when-llms-write-our-papers-1cc746373c…
Is this average based on data or a nudge? 😄 #chi2026
Thank you #CHI2026 for an amazing week of inspiring conversations in Barcelona!
Fun fact for #CHI2026 folks: The generated "Session Summary Podcasts" in the ACM DL "cite" the session's papers and are picked up by Google Scholar, so all papers get +1 citation automatically now...
📄 Preprint: https://arxiv.org/abs/2509.11826
Key findings (14 teams, 1 week):
📍Profiles were seen as personal territory but it's ok to interact with others' agents/tasks/comments
📍User-initative preferred
📍Thus, teams incorporated agents into social collaboration norms, rather than t…
▶
Typical chatbots force co-writers to leave shared docs. Our #CHI2026 paper explores collaborative AI use in shared docs via 3 features:
🤖 Shared agent profiles
☑️ Repeatable tasks, triggered by users or system
💬 Agents respond in shared co…
📢 Looking for current research on #HCI + #AI? Here's a categorised collection of 300+ #CHI2026 preprints, collected via arXiv:
https://dbuschek.medium.com/chi26-preprint-collection-bdbfe9492a7b
Finalising your #CHI2026 revision? Or suffering from not being allowed to do so? I've "reviewed-to-reject" one of our papers with ChatGPT, to show how this leads to bad reviews - and give ideas for responding to this: https://dbuschek.medi…
Three weeks ago, my feed filled with Grammarly ads - and I wondered: What if we took their messages seriously? My anecdotal "ad-vestigation" connects them to Human-AI interaction concepts, leading to counterfactual questions for alternativ…
While reviewing for #CHI2026, I've noticed four new writing issues in #HCI papers, likely due to an increased use of #LLMs / #AI. I describe them here - and how to fix them: https://dbuschek.medium.com/when-llms-write-our-papers-1cc746373c…
Is this average based on data or a nudge? 😄 #chi2026
🐘 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
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 4 views per post.
📤Posts about 0.3× per week.
📍Based in Germany.
🕵️ Fake follower check
Estimated43/100
Fair
Credibility score
73%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 73% real, active audience · Medium fake-follower risk.
- Low engagement (~0.8% of followers engage each post) — a sign of an inflated or inactive audience.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
💚 Brand affinity
EstimatedBrands Daniel Buschek's audience is most likely to respond to — from detected sponsorships in this niche.
About
Prof at Uni Bayreuth, Germany. Human-computer interaction, intelligent user interfaces, interactive AI.
#HCI #AI #NLProc
#CHI #IUI #UIST #CSCW #DIS #MobileHCI
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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16%
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12%
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Frequently asked questions
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Daniel Buschek has 507 followers on Mastodon.
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