My PhD thesis is now publicly available following the completion of its embargo period. It explores the fact-checking ecosystem, focusing on its modelling and the development of semi-automated, stakeholder-based approaches to detecting false information.
Full text 👉 kar.kent.ac.uk/108725/
📄 Paper: mdpi.com/2078-2489/16/7…
💾 Source Code: github.com/altuncu/AKE
🎧 Podcasts:
🇹🇷 Sade-ce Bilim: open.spotify.com/episode/2gVX6Z���
🇬🇧 Research Talks: open.spotify.com/episode/5Hffnc…
#AutomaticKeywordExtraction #NaturalLanguageProcessing #AcademicSky #OpenAccess
It presents a universal post-processing approach to boost AKE methods. Our experiments on 17 benchmark datasets showed significant improvements across 5 AKE methods.
Thanks all the co-authors (@jasonnurse.bsky.social,Yang Xu,Jie Guo, @hooklee.bsky.social) for their effort and collaboration.
📢 Happy to share that our work "Improving Performance of Automatic Keyword Extraction Methods Using PoS Tagging and Enhanced Semantic-Awareness" is now published in the special issue Information Extraction and Language Discourse Processing of MDPI's Information journal.
🎉 Starting a new chapter at Istanbul University-Cerrahpaşa!
Delighted to join the Department of Computer Engineering as an academic. Looking forward to contributing to research and teaching in this vibrant academic community.
🎙 Akademik çalışmalarım artık sade bir dille podcast formatında!
Sade-ce Bilim, yapay zeka ile oluşturulan iki kişilik sohbetlerle dahil olduğum araştırmaları daha anlaşılır bir biçimde sunuyor.
🎧İlk bölüm Spotify'da yayında: bit.ly/4mvKM4o
#Bilimİletişimi #Podcast #SadeceBilim #BilimHerkesİçin
🎙 Turning Research Into Conversation
Research Talks is a new podcast where I share my academic work in a clear, AI-generated dialogue format.
Now streaming on Spotify!
🎧 First episode: bit.ly/4mrnmgp
#ScienceCommunication #AcademicResearch #AIforScience #ResearchTalks #Podcast #NotebookLM
Sounds good!
Our paper is a dataset paper with example applications to show its usefulness. So, we used an existing SOTA political bias classifier (based on previous research and used in other relevant studies) for simplicity. How to validate/improve the performance of this model was beyond our scope.
The predictions of the model based on previously published fact-checking reports says so. But, it's important to note that the reported findings are limited by the accuracy of the model.
We used a publicly available BERT-based pretrained model for political bias classification.
Those bars refer to the standard deviation of predicted bias scores. If a bar is shown on both sides of the centre line, it means the corresponding organisation published both left- and right-leaning reports.
📄 Preprint: arxiv.org/abs/2505.09414
💾 Dataset & code: github.com/altuncu/FACT...
#FactChecking #Dataset #AcademicChatter #AcademicResearch #InformationRetrieval #SIGIR2025
🛠️ Example applications enabled by the dataset:
• Detailed stats for 39 orgs + ~2k authors (activity span, avg. word counts, % unique claims)
• Predicted political bias scores (via a pre-trained model)
• Credibility assessment based on historical signals
✅ ~118k English fact-checking reports from 39 organisations:
✔️ All are active signatories of @factchecknet.bsky.social and/or EFCSN
🗓️ Spanning 1995–2025
💬 Includes 7k+ claims investigated by multiple organisations
🚨 The preprint and dataset are now available!
🔎 Here's what FACTors offers — a quick thread on the dataset and example applications 🧵⤵️
Another example of how a "Large Language Model" can be used as a "Large Lying Machine" ⤵️
This new decentralised verification approach on Bluesky sounds a good idea although its success depends on how Trusted Verifiers will be selected.
I think it could be enhanced to enable organisational accounts to verify their employee's accounts with a separate badge/label showing the affiliation.
Many thanks to the co-authors (Can Başkent, Sanjay Bhattacherjee, Shujun Li, and Dwaipayan Roy) for their effort and collaboration.
Excited to share that our work "FACTors: A New Dataset for Studying the Fact-checking Ecosystem" has been accepted for #SIGIR2025 as a Resource & Reproducibility paper.
More details coming soon!
#academicresearch #factchecking #dataset
sigir2025.dei.unipd.it
X'teki dezenformasyondan bıkıp kendini burada bulan yeni Bluesky göçmenleri için tekrar paylaşma gereği hissettim🙂
With new additions, including
@johnfocook.bsky.social,
@emmalbriant.bsky.social,
@sanjanah.bsky.social,
@misinforeview.bsky.social,
and @zakird.com,
the starter pack is now full!
If you haven't checked it recently, a final look might be useful to discover more accounts 🙂
A worth reading threat to understand why misinformation research is needed ⤵️
Hi, just added!
Selecting a few of the recommendations from our National Academies report on science misinformation to highlight. Recommendation 2 is simply that universities & researchers need better procedures for publicizing research. There should be accountability for overhyping science.
Check out listifications.app (aka @listifications.app).
If you follow that account it automatically sends you a DM every time someone adds you to a list or Starter Pack.
Fun to see randos blocking you as "fash" or "scum" while others add you to lists of "journalists" or "fact checkers" :-)
If you're following @politifact.bsky.social, it's not the real account of Politifact ⤵️
I like the idea of using "information integrity" as an umbrella term. One reason is that it emphasises that information disorder is a cyber security issue since integrity is a key principle of cyber security.
A festive two tile comic strip illustrating the difference between misinformation and disinformation. Tile A: Disinformation. Scene: Christmas morning in the living room. A child looking at wrapped Christmas present which seems to have the outline of a bicycle. Parents stood in the background are telling the child "It's from Santa Claus!". Tile B: Misinformation Scene: Later that day, the child is riding his new bike outside. While passing his three friends standing on the sidewalk, he shouts "It's from Santa Claus!". Credit: This comic strip is a collaboration between @brentlee.bsky.social & artist @felixuncia.bsky.social
Misinformation?
Disinformation?
What's the difference?
A very simple and festive explainer. 🎅
Credit:
🎨 @felixuncia.bsky.social
🧠 @brentlee.bsky.social
