[PDF][PDF] Evalita 2023: Overview of the 8th evaluation campaign of natural language processing and speech tools for italian
EVALITA provides a shared framework for evaluating and comparing different Nautural
Language Processing (NLP) and speech systems across various tasks suggested and …
Language Processing (NLP) and speech systems across various tasks suggested and …
Novel approaches for fake news detection based on attention-based deep multiple-instance learning using contextualized neural language models
KM Karaoğlan - Neurocomputing, 2024 - Elsevier
With the rapid growth of social media and online news sources, the spread of fake news
(FN) has become a significant concern. Classifying FN requires sophisticated approaches to …
(FN) has become a significant concern. Classifying FN requires sophisticated approaches to …
Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection
The widespread diffusion of fake news has become a critical problem on dynamic social
media worldwide, which requires effective strategies for fake news detection to alleviate its …
media worldwide, which requires effective strategies for fake news detection to alleviate its …
A review of the knowledge worker as prompt engineer: how good is AI at societal analysis and future predictions?
KS Söilen - Forsajt, 2024 - journals.rcsi.science
A Review of the Knowledge Worker as Prompt Engineer: How Good is AI at Societal Analysis
and Future Predictions? - Solberg Söilen - Forsajt English Kazakh Português (Brasil) Русский …
and Future Predictions? - Solberg Söilen - Forsajt English Kazakh Português (Brasil) Русский …
[HTML][HTML] Dataset for multimodal fake news detection and verification tasks
The proliferation of online disinformation and fake news, particularly in the context of
breaking news events, demands the development of effective detection mechanisms. While …
breaking news events, demands the development of effective detection mechanisms. While …
MalFake: A Multimodal Fake News Identification for Malayalam using Recurrent Neural Networks and VGG-16
AS Sujan, A Benny, VS Anoop - arxiv preprint arxiv:2310.18263, 2023 - arxiv.org
The amount of news being consumed online has substantially expanded in recent years.
Fake news has become increasingly common, especially in regional languages like …
Fake news has become increasingly common, especially in regional languages like …
[PDF][PDF] PoliTo at MULTI-Fake-DetectiVE: Improving FND-CLIP for Multimodal Italian Fake News Detection.
Abstract The MULTI-Fake-DetectiVE challenge addresses the automatic detection of Italian
fake news in a multimodal setting, where both textual and visual components contribute as …
fake news in a multimodal setting, where both textual and visual components contribute as …
CheckIT!: A Corpus of Expert Fact-checked Claims for Italian
This paper introduces CheckIT!, a resource of expert fact-checked claims, filling a gap for the
development of fact-checking pipelines in Italian. We further investigate the use of three …
development of fact-checking pipelines in Italian. We further investigate the use of three …
Scaling Large Language Models to the Extreme: Neural Semantic Processing of Multiple Tasks in Italian
This paper explores the potential of utilizing a unified neural model to tackle multiple and
complex semantic processing tasks in the Italian language. We applied a state-of-the-art …
complex semantic processing tasks in the Italian language. We applied a state-of-the-art …