5 citations · 9 across the 11 of their papers we have counts for
15 papers
SPOT: Bridging Natural Language and Geospatial Search for Investigative Journalists
Lynn Khellaf, Ipek Baris Schlicht, Tilman Mirass +3
OpenStreetMap (OSM) is a vital resource for investigative journalists doing geolocation verification. However, existing tools to query OSM data such as Overpass Turbo require famil…
Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?
Ipek Baris Schlicht, Zhixue Zhao, Burcu Sayin +2
Equitable access to reliable health information is vital for public health, but the quality of online health resources varies by language, raising concerns about inconsistencies in…
Pitfalls of Conversational LLMs on News Debiasing
Ipek Baris Schlicht, Defne Altiok, Maryanne Taouk +1
This paper addresses debiasing in news editing and evaluates the effectiveness of conversational Large Language Models in this task. We designed an evaluation checklist tailored to…
Spot: A Natural Language Interface for Geospatial Searches in OSM
Lynn Khellaf, Ipek Baris Schlicht, Julia Bayer +3
Investigative journalists and fact-checkers have found OpenStreetMap (OSM) to be an invaluable resource for their work due to its extensive coverage and intricate details of variou…
Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion
Ipek Baris Schlicht, Lucie Flek, Paolo Rosso
Check-worthiness detection is the task of identifying claims, worthy to be investigated by fact-checkers. Resource scarcity for non-world languages and model learning costs remain…
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spyridon Baxevanakis, Giorgos Kordopatis-Zilos, Panagiotis Galopoulos +6
Enabled by recent improvements in generation methodologies, DeepFakes have become mainstream due to their increasingly better visual quality, the increase in easy-to-use generation…