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onur.ascigil

@asonur.bsky.social
209 followers 225 following 1 posts

Assistant Professor in Computer Science at Lancaster University

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Scoiattolo @scarnecchia.net · 21/03/2026
Interesting paper on the impact of blocklists on the Bluesky social graph. Self-recommending. (will read it again after coffee and likely have more to say then)
openaccess.city.ac.uk
City Research Online - Open or Blocked Skies? Community Moderation Practices in Bluesky
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Leo Balduf @leobalduf.bsky.social · 21/06/2025
I'll be at #ICWSM 2025 next week to present our paper about Bluesky Starter Packs. For the occasion, I've created a Starter Pack with all the organizers, speakers, and authors of this year I could find on Bluesky! Link: go.bsky.app/GDkQ3y7 Let me know if I missed anyone!
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Leo Balduf @leobalduf.bsky.social · 21/06/2025
Our work on Bluesky: doi.org/10.1609/icws... Joint work with @bibo7086.bsky.social @harnen.bsky.social @garethtyson.bsky.social @asonur.bsky.social @ignactro.bsky.social @baronca.bsky.social
doi.org
Bootstrapping Social Networks: Lessons from Bluesky Starter Packs | Proceedings of the International AAAI Conference on Web and Social Media
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Michał Król @harnen.bsky.social · 23/02/2025
Are you interested in @bsky.app research? We gather and make available multiple datasets including posts, social graph snapshots, labellers, feed generators and more. More information is available on our website: bsky.leobalduf.com
bsky.leobalduf.com
Bluesky Research
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Leo Balduf @leobalduf.bsky.social · 27/01/2025
Oh hey, our most recent work on @bsky.app was cited by Nature! :o
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Ignacio Castro @ignactro.eurosky.social · 27/01/2025
Did Starter Packs turbocharged @bsky.app growth? Yes, but... We analyse it in the paper quoted in @nature.com article below:🧵 bsky.app/profile/harn...
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Michał Król @harnen.bsky.social · 26/01/2025
@bsky.app grew tremendously over the last year. Recently, the platform introduced “starter packs” (SP) to help users bootstrap their social graph. Anybody can create these SPs. They’re lists of accounts (e.g., “people creating anime”) that others can then follow. 🧵1/11
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Nature @nature.com · 24/01/2025
Roughly 6,000 readers answered our poll, with many declaring that Bluesky was nicer, kinder and less antagonistic to science than X go.nature.com/42tH8Ai
go.nature.com
Bluesky’s science takeover: 70% of Nature poll respondents use platform
Roughly 6,000 readers answered our poll, with many declaring that Bluesky was nicer, kinder and less antagonistic to science than X.
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Ignacio Castro @ignactro.eurosky.social · 14/11/2024
Code and paper analysing Bluesky 👉 dl.acm.org/doi/10.1145/...
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ACM Internet Measurement Conference @acm-imc.bsky.social · 04/11/2024
We have an #IMC2024 paper on Bluesky itself: Looking AT the Blue Skies of Bluesky with Leon Balduf (Technical University of Darmstadt) & Saidu Sokoto (City, University of London) dl.acm.org/doi/10.1145/...
dl.acm.org
Looking AT the Blue Skies of Bluesky | Proceedings of the 2024 ACM on Internet Measurement Conference
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Ignacio Castro @ignactro.eurosky.social · 04/11/2024
Twitter shows the risk of the centralised/monolithic/vertically integrated organisation approach with a benevolent dictator at the top: including the elusive nature of benevolence. 2 #IMC2024 papers examine Mastodon & Bluesky exploration of the design space of alternatives: [1/4]
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Michał Król @harnen.bsky.social · 18/10/2024
The full paper "Guardians of the Galaxy: Content Moderation in the InterPlanetary File System" is available here: usenix.org/conference/u... Written with @ignactro.bsky.social @asonur.bsky.social @bibo7086.bsky.social @leobalduf.bsky.social
usenix.org
Guardians of the Galaxy: Content Moderation in the InterPlanetary File System | USENIXusenix_logo_notag_white
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Ignacio Castro @ignactro.eurosky.social · 26/08/2024
To appear soon at ACM IMC 2024! 👇
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Paul Rohr @pevohr.bsky.social · 25/08/2024
Cool preprint leveraging access to the "data is public by default" architecture of the #ATprotocol to infer specific moderation practices by the bsky T+S team. They also calculated how little overlap there is between that team's work + the additive work being done by other labelers. Neat stuff!
For the official Bluesky Labeler, we observe two groups of labels: In the lower half of the plot, we find porn, nudity, corpse etc., which are applied within seconds, indicating automated systems. On the other hand, labels such as, e.g., spam, sexual-figurative, intolerant, and !takedown take longer to be applied, pointing to manual processes. ...

It seems that heavy-handed moderation decisions such as removing data are deliberated instead of automated. This is reassuring, especially for the !takedown label having significant consequences for the affected users.In general, we find that label values generally show little overlap between the Bluesky Labeler and community Labelers, i.e., they seem to deal with mostly disjoint topics: Only 56,856 (1.8 %) objects are labeled by the Bluesky Labeler and any community Labeler. The Bluesky Labeler mostly labels NSFW content and upholds some community standards whereas the community Labelers seem to operate in specific niches. This is enabled by the flexibility (or lack of predefined) label values and user choice in how to react to labels.
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bryan newbold @bnewbold.net · 25/08/2024
pretty interesting pre-print about bluesky/atproto! has an analysis of labeler response time (by label value), and digs in to feed service providers. the intro describes the atproto design goals and what is unique pretty well, IMO.
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onur.ascigil @asonur.bsky.social · 12/03/2024
Hello World!
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