Tesi etd-09042023-200719 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
TESSA, BENEDETTA
URN
etd-09042023-200719
Titolo
Understanding User Content Moderation operations: a Machine Learning Approach for predicting post-intervention activity and toxicity on Reddit platform
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING
Relatori
relatore Prof. Avvenuti, Marco
relatore Dott. Cresci, Stefano
relatore Ing. Cima, Lorenzo
relatore Dott. Cresci, Stefano
relatore Ing. Cima, Lorenzo
Parole chiave
- #socialmedia
- #toxicity
- #contentmoderation
- #machinelearning
- #classification
- #regression
- #featureextraction
Data inizio appello
22/09/2023
Consultabilità
Non consultabile
Data di rilascio
22/09/2093
Riassunto
This thesis focuses on the effects of content moderation in Social Media, with a focus on Reddit. After a moderation intervention, ideally users reduce the toxicity contained in their posts, but this isn't always the case as toxic behavior may increase or worse, users leave the platform. Machine learning can be a powerful tool for moderators since with the use of a binary classifier predicting whether a user leaves Reddit or not and another predicting whether they decrease their perceived toxicity or not, an insight of whether to pursue or not a moderation strategy can be provided. Regressor can be also exploited to better understand how much the toxicity or level of activity changed.
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