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Justin Yeung

@justinyinnl.bsky.social
74 followers 109 following 32 posts

PhD student @ Network Science Institute London working on human interactions dynamics and cognitive science Prev. Oxford Internet Institute and ASCoR 🇬🇧🇳🇱

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Justin Yeung @justinyinnl.bsky.social · 19/09/2025
However, the absolute differences between these model groups strongly depended on the measured concept, and we observed strong variance in performance among models of the same group.
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Justin Yeung @justinyinnl.bsky.social · 19/09/2025
We present results for over 50 metrics side-by-side to judge the opportunity costs of choosing one method over another. The results revealed strong variation across different groups of models. Overall, modern methods (transformers and generative AI) outperform the older, simpler ones.
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Justin Yeung @justinyinnl.bsky.social · 19/09/2025
Our project on comparing rule-based, classical machine learning, transformers and #LLM to measure debate quality on social media is finally out at Communication Methods and Measures! ✨✨✨ @ascor.bsky.social @nunetsi.bsky.social Link here: www.tandfonline.com/doi/full/10....
tandfonline.com
Can we use automated approaches to measure the quality of online political discussion? How to (not) measure interactivity, diversity, rationality, and incivility in online comments to the news
This article explores the (in)ability of automated tools to measure the deliberative quality of online user comments along the standards set out by Habermas: interactivity, diversity, rationality, ...
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Justin Yeung @justinyinnl.bsky.social · 04/09/2025
Thanks my good friend for attending CCS in person on my behalf ;) Hope this quick overview of data quality problem is helpful for the audience
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Justin Yeung @justinyinnl.bsky.social · 01/09/2025
Would be giving a talk on Data Quality Framework, online… Hopefully can see some of your faces
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Justin Yeung @justinyinnl.bsky.social · 01/09/2025
Subscribe here - groups.google.com/a/g-groups.w...
groups.google.com
About
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Justin Yeung @justinyinnl.bsky.social · 01/09/2025
Hate to miss #CCS2025 :( But I’m in the background working on bringing complex system to social sciences and humanities in the study of platforms with a new working group Critical Platform Studies at @uwmadison.bsky.social Sign up to our mailing list (see comment) to join the community!
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Tomer Ullman @tomerullman.bsky.social · 01/12/2024
thinking of calling this "The Illusion Illusion" (more examples below)
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Takayuki Hiraoka @takayukihir.bsky.social · 27/08/2025
Happy to share this long-overdue project! We found that many real-world event sequences follow a surprisingly similar hierarchically structured pattern, and that multi-timescale memory mechanisms can explain this pattern. Feedback welcome! arxiv.org/abs/2508.18281
arxiv.org
Hierarchical organization of bursty trains in event sequences
Temporal sequences of discrete events that describe natural and social processes are often driven by non-Poisson dynamics. In addition to a heavy-tailed interevent time distribution, which primarily c...
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Justin Yeung @justinyinnl.bsky.social · 27/08/2025
A cool project just ended - very relieved and excited to see it out✨ Stay tuned!
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Justin Yeung @justinyinnl.bsky.social · 09/07/2025
New profile pic on NETSI website taken at the Royal Institution in London. www.networkscienceinstitute.org/people/justi...
networkscienceinstitute.org
Justin Wang Ngai Yeung | People
Network Science Institute at Northeastern University
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Aaron Clauset @aaronclauset.bsky.social · 24/06/2025
Slides from my keynote lecture "What drives the productivity of scientific labor?" at the 2025 Oxford Summer School on Economic #Networks. Part 1 of 2: why and how do elite scientists dominate scientific discourse? aaronclauset.github.io/slides/Claus...
Title slide: "What drives the productivity of scientific labor?" a talk by Aaron Clauset at the Oxford Summer School on Economic Networks 2025Summary slide arguing that prestige is a structural variable in the scientific ecosystem, and that it is differences in working environment (not pedigree) that explains why elite researchers dominate scientific discourse. Ends with a question: how exactly does environment do this?Summary slide arguing that working environment (specifically, institutional prestige) explains differences in scientific productivity because there's just more available academic labor at elite places, and researchers use this labor to write more papers. Ends with a question: how much does it matter who you collaborate with? That leads into part 2 of the slides
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Justin Yeung @justinyinnl.bsky.social · 17/06/2025
On the side of publishing, i wonder if that is domain-specific problem or a general issue across fields? What I feel like is that most subdomains are created to cater the need for understanding particularities… but perhaps maybe in less niche journals, we do need more overarching theories.
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Justin Yeung @justinyinnl.bsky.social · 17/06/2025
Certainly - quality has little to do with model / theoretical complexity. I guess what i am trying to get at is that generalisation of theories requires testings on edge cases to ensure robustness of the theories themselves, meaning that particularities are only the means, not the ends.
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Justin Yeung @justinyinnl.bsky.social · 13/06/2025
@alexvespi.bsky.social on the simplicity of complexity - mentality (and approach) much needed in all disciplines.
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NetScience @netscience.bsky.social · 13/06/2025
Latest out in PNAS!! Comparative evaluation of behavioral epidemic models using COVID-19 data. Amazing collaboration with @ngozzi.bsky.social and @alexvespi.bsky.social www.pnas.org/doi/10.1073/...
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Justin Yeung @justinyinnl.bsky.social · 12/06/2025
Accounting for complexity. Moreover, even in establishing statistical laws, we are still interested in cases where such laws do (not) apply and therefore we require peculiarities to validate the universality of general models.
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Justin Yeung @justinyinnl.bsky.social · 12/06/2025
Absolutely agree that we need to find regularities and formalism in media effects research. But not sure how conducive it is to reduce (model) complexity - my intuition is that the current methods are simply bad at accounting for nuance, but methods from complex system and statmec are good at …
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Justin Yeung @justinyinnl.bsky.social · 07/06/2025
Two posters and a bunch of amazing people at @netsciconf.bsky.social with @nunetsi.bsky.social ✨✨
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estebanmoro @estebanmoro.bsky.social · 06/06/2025
#NetSci2025 is a wrap—huge thanks to the organizers for a fantastic edition! So much energy around Network Science and its many applications. Great to reconnect with colleagues and make new (and hiMgher-order!) connections. See you all next year in Boston!
Picture of the members of the Network Science Institute attending the Network Science Conference at Maastricht 2025Picture of Esteban Moro presenting their work on Mobility Barriers in Cities during the Network Science Conference 2025
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Justin Yeung @justinyinnl.bsky.social · 15/05/2025
Thanks for sharing our work on the phenomenon of GIGO in the criminal network domain! @nunetsi.bsky.social @oii.ox.ac.uk @riccardodiclemente.com @lambiotte.bsky.social
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Brian J. Karem @briankarem.bsky.social · 28/02/2025
I have covered presidential politics for 40 years. This was the most juvenile display by a President and Vice President I have ever seen. Other presidents treated their enemies with more respect. This is a low point and a dark day for the US. Totally embarrassing.
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Tomás Dodds @tomasdodds.bsky.social · 14/02/2025
Excited to kick off my fellowship at the Institute for Advanced Study (University of Amsterdam) with my talk: "Knowledge Silos as a Barrier to Responsible AI Practices in Journalism." 📅 Join me on 25/02 at 12:30 in Amsterdam! More info and registration: ias.uva.nl/content/even...
ias.uva.nl
Knowledge Silos as a Barrier to Responsible AI Practices in Journalism - Institute for Advanced Study IAS
Tomás Dodds, Assistant Professor in Journalism and New Media, Leiden University, is a new fellow at IAS. During his kick-off event, he will explore the concept of 'knowledge silos' in news organizatio...
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Tomás Dodds @tomasdodds.bsky.social · 08/02/2025
🚨 New paper out! We examine how knowledge silos in newsrooms create barriers to responsible AI adoption. When teams operate in isolation, AI tools can be introduced without proper ethical and editorial oversight, weakening accountability. Read OA 🔓: www.tandfonline.com/doi/full/10....
tandfonline.com
Knowledge Silos as a Barrier to Responsible AI Practices in Journalism? Exploratory Evidence from Four Dutch News Organisations
The effective adoption of responsible AI practices in journalism requires a concerted effort to bridge different perspectives, including technological, editorial, and managerial. Among the many cha...
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Ronaldo Menezes 🦋 @ronaldomenezes.bsky.social · 05/02/2025
If you're into network science and have done work on criminal networks/activity, consider sending your work to criminalcomplexity.weebly.com. Organising with Toby Davies, Cecilia Meneghini, Rafael Prieto-Curiel, Rick Quax, Huijuan Wang, Wang Ngai Yeung.
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Anja Neundorf @anjaneundorf.bsky.social · 24/01/2025
How do autocrats stay in power? Our new research dives into the strategies of political control—repression, co-optation, and indoctrination—used across 229 autocracies from 1946 to 2010. What we found will change the way you think about authoritarian resilience. 🧵👇
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Valerie Hase @valeriehase.bsky.social · 20/01/2025
💥 4th Data Donation Symposium @LMU Munich 🗓 October 9th-10th 2025 (no conference fee) 👉 Empirial work employing data donations, method development, tools & infrastructures, etc. 🔍More info & CfP: data-donation-symposium.ifkw.lmu.de
Screenshot of the website of the "Data Donation Symposium 2025"
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INET Complexity Economics @inet-complexity.bsky.social · 15/01/2025
#OSSEN2025 registration now open until 3 March. With @doynefarmer.bsky.social and Christian Diem from @inetoxford.bsky.social confirmed as speakers.
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Oxford Summer School in Economic Networks @oxfordeconnet.bsky.social · 15/01/2025
Without further ado, here’s the amazing speaker lineup for OSSEN 2025! Experts from across network science and economics will cover topics ranging from financial networks to urban mobility and more! Don’t forget to apply by 3 March: www.maths.ox.ac.uk/events/summe...
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Oxford Summer School in Economic Networks @oxfordeconnet.bsky.social · 14/01/2025
We’re thrilled to announce that this year’s keynote speaker is Prof. Aaron Clauset, from CU Boulder. He is one of the world's foremost experts in Network Science and Complex Systems Apply by 3 March www.maths.ox.ac.uk/events/summe... @aaronclauset.bsky.social @colorado.edu
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NetScience @netscience.bsky.social · 07/01/2025
Garbage in Garbage out: Impacts of data quality on criminal network intervention arxiv.org/abs/2501.01508
arxiv.org
Garbage in Garbage out: Impacts of data quality on criminal network intervention
Criminal networks such as human trafficking rings are threats to the rule of law, democracy and public safety in our global society. Network science provides invaluable tools to identify key players a...
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Justin Yeung @justinyinnl.bsky.social · 06/01/2025
New year, new paper!🚨 Our paper on data quality and its impacts on criminal network intervention is out on Arxiv! 💻 It is a part of my MSc thesis at @oiioxford.bsky.social, co-authored with @ric-dicle.bsky.social and Renaud Lambiotte! arxiv.org/abs/2501.01508 #complex #ComplexityScience 🦋🐿️
arxiv.org
Garbage in Garbage out: Impacts of data quality on criminal network intervention
Criminal networks such as human trafficking rings are threats to the rule of law, democracy and public safety in our global society. Network science provides invaluable tools to identify key players a...
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Justin Yeung @justinyinnl.bsky.social · 05/01/2025
@tomasdodds.bsky.social
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Justin Yeung @justinyinnl.bsky.social · 05/01/2025
This panel is very unique given its conceptual and geographical diversity. We hope to bring novel, perhaps contrarian (at least in mine), insights into the complexity of content moderation, harassment and dis/misinformation on social media platforms. You can now watch it on YouTube! 5/n
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Justin Yeung @justinyinnl.bsky.social · 05/01/2025
Finally, I presented my work with Benny Lim (Chinese University of Hong Kong) on the weaponisation of fact-checking and its ineffectiveness in polarized societies. And partially work on exile journalists with @tomasdodds.bsky.social and Rana Arafat from City University London. 4/n
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Justin Yeung @justinyinnl.bsky.social · 05/01/2025
@eirliani.bsky.social covered the concept of indirect swarming, a covert harassment by amplifying (eg, sharing) initial harassment content (eg, actual harassment targeted at the victim) and how it should be managed on a policy level. 3/n
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Justin Yeung @justinyinnl.bsky.social · 05/01/2025
@tomasdodds.bsky.social discussed how social media metrics pushes digital harassment towards journalists and newsworkers. Marloes talked about violence by association and how collective attacks via “simple” @-mentioning can create sticky association between entities. 2/n
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Justin Yeung @justinyinnl.bsky.social · 05/01/2025
Last year, @tomasdodds.bsky.social, @eirliani.bsky.social, Marloes Geboers, @markboukes.bsky.social and I had the honour to present at the #UNESCO Press Freedom day academic conference on digital violence, social media and press freedom. 1/n youtu.be/x6ZWyVZFqyQ?...
youtu.be
PANEL: How Digital Violence in Social Media Platforms Impact Press Freedom
YouTube video by Facultad de Comunicaciones UC
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Justin Yeung @justinyinnl.bsky.social · 05/01/2025
One particular observation that I’ve stumbled upon recently is that most returned search results are from 2-3 particular countries, particularly if I’m looking for Graph ML / prediction-related papers. Not sure if it’s a mere large number effect or some questionable research practices are going on.
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Justin Yeung @justinyinnl.bsky.social · 03/01/2025
Extremely important work, particularly for those who work closely with misinformation and disinformation. Defining the problem is more important than finding the panacea for the problem per se.
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Justin Yeung @justinyinnl.bsky.social · 24/12/2024
Absolutely, analogies don’t work most of the time (as in LLMs and human minds or whatsoever). But for prebunking, I think the core challenge really is about the trade off between scale and depth, which it is extremely costly to do anything long-term enough to large audiences
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Justin Yeung @justinyinnl.bsky.social · 23/12/2024
Congrats!! Looks super cool - bookmarked!🤚
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Justin Yeung @justinyinnl.bsky.social · 23/12/2024
Some claim that pre-bunking works as a vaccine, but I am quite skeptical because it wears out rather quickly and doesn’t reach deep enough…
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barabasi.bsky.social @barabasi.bsky.social · 23/12/2024
Human-AI Coevolution is in the news! 🚨 🤖 Human-AI interactions are feedback loops that ripple through society, influencing both human behavior and AI evolution. 🌐 📰 Read more: news.northeastern.edu/2024/12/16/h... 📄 Full paper: barabasi.com/science/publ... #AI #HumanAI #Networks
news.northeastern.edu
The interaction between humans and artificial intelligence demands a new field of study, Northeastern researchers say
“Human AI Coevolution” investigates how humans and AI algorithms continuously influence each other,” Alessandro Vespignani says.
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Justin Yeung @justinyinnl.bsky.social · 18/12/2024
A small gift for Christmas - my 10th citation!
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Justin Yeung @justinyinnl.bsky.social · 12/02/2024
Only 1 is enough: a panopticam
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lokman tsui @lokman.org · 07/02/2024
beijing's reality distortion field: where hong kong protesters are rioters and the taliban is a legitimate government. 🤡 www.aspistrategist.org.au/chinas-recog...
aspistrategist.org.au
China’s recognition of the Taliban sets a dangerous precedent | The Strategist
On 30 January, 2024, President Xi Jinping provided further evidence that China formally recognises the Taliban as the legitimate government of Afghanistan. This sets a dangerous international preceden...
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Justin Yeung @justinyinnl.bsky.social · 09/02/2024
#network scientists of #Bluesky: is there a methodological / theoretical difference between attacker versus defender perspectives in a graph robustness simulation using percolation techniques et al? Any pointers appreciated! #networkscience #graphtheory
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