Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish

arXiv:2403.00411v1 Announce Type: new
Abstract: 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, the majority of research in this field has concentrated on the English language. Hence, there is a scarcity of datasets for other languages, including Turkish. To address this concern, we have introduced the FCTR dataset, consisting of 3238 real-world claims. This dataset spans multiple domains and incorporates evidence collected from …

abstract arxiv case case study concerns cross-lingual cs.cl english english language fact-checking fine-tuning impact language languages low media misinformation opinion platforms public research social social media social media platforms study through type