Social network users can report other users’ content as inappropriate by arguing that it encroaches on their privacy rights. Blindly accepting such reports as real evidence of something offensive poses substantial risks; malicious users might report harmless content just to compromise that material. The large number of users who flag content as offensive makes moderation difficult for human administrators. The authors’ reputation-based approach automatically assesses accusers’ honesty before a social networking site withdraws any reported content. It encourages honest users to report inappropriate content by increasing their reputation within the system.

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

• Manuel Gil Pérez
• Gregorio Martínez Pérez

Félix Gómez Mármol, Manuel Gil Pérez, Gregorio Martínez Pérez, «Reporting offensive content in social networks: Toward a reputation-based assessment approach«, IEEE Internet Computing, Special Issue on Identity, Privacy, and Deception in Social Networks, vol. 18, no. 2, pp. 32-40, 2014

• Journal: IEEE Internet Computing
• Category: Computer Science, Software Engineering
• Rank: 25/106
• Quartile: Q1
• Impact Factor: 1.713