Analyzing labeled cyberbullying incidents on the Instagram social network

Homa Hosseinmardi*, Sabrina Arredondo Mattson, Rahat Ibn Rafiq, Richard Han, Qin Lv, Shivakant Mishra

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

83 Citations (Scopus)


Cyberbullying is a growing problem affecting more than half of all American teens. The main goal of this paper is to study labeled cyberbullying incidents in the Instagram social network. In this work, we have collected a sample data set consisting of Instagram images and their associated comments. We then designed a labeling study and employed human contributors at the crowd-sourced CrowdFlower website to label these media sessions for cyberbullying. A detailed analysis of the labeled data is then presented, including a study of relationships between cyberbullying and a host of features such as cyberaggression, profanity, social graph features, temporal commenting behavior, linguistic content, and image content.

Original languageEnglish
Title of host publicationSocial Informatics - 7th International Conference, SocInfo 2015, Proceedings
EditorsTie-Yan Liu, Wenwu Zhu, Christie Napa Scollon
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages18
ISBN (Electronic)9783319274331
ISBN (Print)9783319274324
Publication statusPublished - 2015
Externally publishedYes
Event7th International Conference on Social Informatics, SocInfo 2015 - Beijing, China
Duration: 9 Dec 201512 Dec 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference7th International Conference on Social Informatics, SocInfo 2015


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