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 both cases, on the reporters’ reputation along with other metrics intrinsic to social networks. Promising results from adopting the proposed reporting methods on Frisber, a geolocalized social network in production, are presented as well as some experiments based on real data extracted from Frisber.

This work would not have been possible without the inestimable contribution of:

• Santiago Pina Ros
• Ángel Pina Canelles
• Manuel Gil Pérez
• Gregorio Martínez Pérez

Santiago Pina Ros, Ángel Pina Canelles, Manuel Gil Pérez, Félix Gómez Mármol, Gregorio Martínez Pérez, «Chasing offensive conducts in social networks: A reputation-based practical approach for Frisber«, ACM Transactions on Internet Technology, Special Issue on Trust in Social Networks and Systems, vol. 15, no. 4, pp. 1-20, 2015

• Journal: ACM Transactions on Internet Technology
• Category: Computer Science, Software Engineering
• Rank: 71/106
• Quartile: Q3
• Impact Factor: 0.705