20 citations · 144 across the 23 of their papers we have counts for
6 papers · 1 filter
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking
Panayiotis Smeros, Carlos Castillo, Karl Aberer
This paper describes SciClops, a method to help combat online scientific misinformation. Although automated fact-checking methods have gained significant attention recently, they r…
Legal Transformer Models May Not Always Help
Saibo Geng, Rémi Lebret, Karl Aberer
Deep learning-based Natural Language Processing methods, especially transformers, have achieved impressive performance in the last few years. Applying those state-of-the-art NLP me…
Direction is what you need: Improving Word Embedding Compression in Large Language Models
Klaudia Bałazy, Mohammadreza Banaei, Rémi Lebret +2
The adoption of Transformer-based models in natural language processing (NLP) has led to great success using a massive number of parameters. However, due to deployment constraints…
Tactical Reframing of Online Disinformation Campaigns Against The Istanbul Convention
Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer
In March 2021, Turkey withdrew from The Istanbul Convention, a human-rights treaty that addresses violence against women, citing issues with the convention's implicit recognition o…
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs
Angelika Romanou, Panayiotis Smeros, Karl Aberer
In the era of misinformation and information inflation, the credibility assessment of the produced news is of the essence. However, fact-checking can be challenging considering the…
A Dataset of State-Censored Tweets
Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer
Many governments impose traditional censorship methods on social media platforms. Instead of removing it completely, many social media companies, including Twitter, only withhold t…