Ángel Pina Canelles

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Social network users take advantage of anonymity to share rumors or gossip about others, making it important to provide means to report offensive conduct. This article presents a proposal to automatically manage these reports. We consider not only the users’ public behavior, but also private messages between users. The automatic approach is based, in(More)
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