Detection of Cyberbullying Incidents on the Instagram Social Network

• DOI: 10.48550/arxiv.1503.03909
• Publication Date: 2015-01-01
• Authors: Homa Hosseinmardi; Sabrina Arredondo...; Rahat Ibn Rafiq; Richard Han; Qin Lv; Shivakant Mishra
• Keywords: Social network (sociolinguistics); Social Network Analysis

Cyberbullying is a growing problem affecting more than half of all American teens. The main goal this paper to investigate fundamentally new approaches understand and automatically detect incidents cyberbullying over images in Instagram, media-based mobile social network. To end, we have collected sample Instagram data set consisting their associated comments, designed labeling study for as well image content using human labelers at the crowd-sourced Crowdflower Web site. An analysis labeled then presented, including correlations between different features cyberaggression. Using data, further design evaluate accuracy classifier cyberbullying.