1 citations · 1 across the 4 of their papers we have counts for
4 papers
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs
Asli Umay Ozturk, Recep Firat Cekinel, Pinar Karagoz
Satire detection is essential for accurately extracting opinions from textual data and combating misinformation online. However, the lack of diverse corpora for satire leads to the…
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies
Recep Firat Cekinel, Pinar Karagoz, Cagri Coltekin
This study evaluates the effectiveness of Vision Language Models (VLMs) in representing and utilizing multimodal content for fact-checking. To be more specific, we investigate whet…
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish
Recep Firat Cekinel, Pinar Karagoz, Cagri Coltekin
The rapid spread of misinformation through social media platforms has raised concerns regarding its impact on public opinion. While misinformation is prevalent in other languages,…
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
Recep Firat Cekinel, Pinar Karagoz
The rapid dissemination of misinformation through social media increased the importance of automated fact-checking. Furthermore, studies on what deep neural models pay attention to…