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Katherine Abramski, Salvatore Citraro, Luigi Lombardi, Giulio Rossetti and Massimo Stella
Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating harmful stereotypes, which originate in our own flawed ways of think...
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Massimo Stella and Yoed N. Kenett
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Massimo Stella, Michael S. Vitevitch and Federico Botta
Monitoring social discourse about COVID-19 vaccines is key to understanding how large populations perceive vaccination campaigns. This work reconstructs how popular and trending posts framed semantically and emotionally COVID-19 vaccines on Twitter. We a...
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Stefan Claus and Massimo Stella
The ability to spot key ideas, trends, and relationships between them in documents is key to financial services, such as banks and insurers. Identifying patterns across vast amounts of domain-specific reports is crucial for devising efficient and targete...
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Asra Fatima, Ying Li, Thomas Trenholm Hills and Massimo Stella
Most current affect scales and sentiment analysis on written text focus on quantifying valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex negative emotions of similar valence is key to evaluating mental health. We p...
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Massimo Stella, Valerio Restocchi and Simon De Deyne
The COVID-19 pandemic forced countries all over the world to take unprecedented measures, like nationwide lockdowns. To adequately understand the emotional and social repercussions, a large-scale reconstruction of how people perceived these unexpected ev...
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Massimo Stella and Yoed N. Kenett
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Massimo Stella
Early language acquisition is a complex cognitive task. Recent data-informed approaches showed that children do not learn words uniformly at random but rather follow specific strategies based on the associative representation of words in the mental lexic...
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