0000000000220384

AUTHOR

Schicchi D.

showing 2 related works from this author

An innovative platform to promote social media literacy in school contexts

2021

In spite of the impressive number of adolescents using social media, only a minority is aware of the risks associated with the use of the Internet. Hate speech, violation of personal rights, psychological attacks, deceiving people with fake accounts, as well as cyberbullying, harassment and insults are some examples of toxic content that can jeopardize adolescent well-being on the Web. Social Media literacy paths in school contexts provide students with the proper defence instruments to face these problems. Furthermore, it is important to underline the role of social media on both the intrinsic and extrinsic motivation of adolescents which has short-and long-term influences when using these…

Social media risksSocial media literacySocial learning environments
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Towards a deep-learning-based methodology for supporting satire detection

2021

This paper describes an approach for supporting automatic satire detection through effective deep learning (DL) architecture that has been shown to be useful for addressing sarcasm/irony detection problems. We both trained and tested the system exploiting articles derived from two important satiric blogs, Lercio and IlFattoQuotidiano, and significant Italian newspapers.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDeep Neural NetworksSettore INF/01 - InformaticaVisual languagesNatural Language processingDeep learningSatire Detection
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