Emotion care modeling: unpredictable and nonlinear events

In economics, individuals’ decisions are not always guided by pure rationality; emotional factors often influence choices related to consumption, investment, and saving. Emotions can thus determine market confidence, influence economic cycles, and even affect monetary and fiscal policies. In this regard, the development of social media has increased the formation and dissemination of fake news, whose impact requires particular attention. To detect and contain the spread of fake news in real time, some Artificial Intelligence tools are used. This contributes to promoting more reliable information and protecting society from media manipulation. A focus was placed on the impact of fake news on political elections. Building on this, the capabilities of the Bidirectional Encoder Representations from Transformers (BERT) classifier were tested to distinguish real news from fake news in order to mitigate the aforementioned problem and provide useful tools for the real-time identification of news that could alter not only political impact but also other areas