Facebook Reactions as Controversy Proxies: Predictive Models over Italian News
Discussion on social media over controversial topics can easily escalate to harsh interactions. Being able to predict whether a certain post will be controversial, and what reactions it might give rise to, could help moderators provide a better experience for all users. We develop a battery of dista...
Enregistré dans:
| Dans: | URI:https://journals.openedition.org/ijcol, |
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| Auteurs principaux: | , , , |
| Format: | Article ou chapitre numérique |
| Langue: | Anglais |
| Publié: |
IJCoL
2020
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| Accès en ligne: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |