This paper introduces the MULTI-Fake-DetectiVE shared task for the EVALITA 2023
campaign. The task was aimed at exploring multimodality within the realm of fake news and …

Recent psycholinguistic and neuroscientific research has emphasized the crucial role of
emotions for abstract words, which would be grounded by affective experience, instead of a …

Multi-modal neural models that are able to encode and process both visual and textual data
are becoming more and more common in the last few years. Such models enable new ways …

This paper1 presents a new linguistic resource for Italian, called MultiEmotions-It, containing
comments to music videos and advertisements posted on YouTube and Facebook. These …

Sentiment analysis on legal cases is an under-explored field. While traditionally applied in
marketing and customer review analysis, sentiment analysis can also be used on legal …

In data mining, an episode is defined as a sub-sequence of events or symbols extracted
from a single sequence of events or symbols. Frequent Episode Mining is the field of data …

The affective content of a text depends on the valence and emotion values of its words. At
the same time a word distributional properties deeply influence its affective content. For …

In this paper we present the FB-NEWS15 corpus, a new Italian resource for sentiment
analysis and emotion detec-tion. The corpus has been built by crawl-ing the Facebook …

With the increasing popularity of social media platforms, the dissemination of misogynistic
content has become more prevalent and challenging to address. In this paper, we …

This paper presents some preliminary results of the SIDE project, which aims at
investigatingthe emotional content of idioms from both a behavioral and computational point …