“Is This Cyberbullying or Not?”: Intertwining Computational Detection with Human Perception (A Case Study)
Document Type
Conference Proceeding
Publication Date
1-1-2016
Publication Title
Advances in Intelligent Systems and Computing
Abstract
Cyberbullying refers to bullying that occurs through the Internet or text messaging. Understanding the nature of cyberbullying and its implications has become an important issue in society. In an attempt to assist with intervention and prevention efforts, the development of computational systems for detecting acts of cyberbullying has become a common trend. However, prior research notes that such systems are typically vulnerable to inaccurate detections, in particular false-positives. Given the prevalence of cyberbullying across age demographics, understanding how humans identify such activity is important for informing and improving such prevention/intervention efforts and reducing system vulnerability. A study was conducted that asked 180 participants to evaluate three excerpts taken from the social media site Formspring. Participants indicated that the use of profane words, and the determination that someone was harmed by the content of the social media post were the most likely determinants that cyberbullying occurred in the post.
Keywords
Cyberbullying, Detection, Human perception
Volume
501
First Page
337
Last Page
345
DOI
10.1007/978-3-319-41932-9_28
ISSN
21945357
Recommended Citation
Dillon, Edward; Macbeth, Jamie C.; Kowalski, Robin; Whittaker, Elizabeth; and Gilbert, Juan E., "“Is This Cyberbullying or Not?”: Intertwining Computational Detection with Human Perception (A Case Study)" (2016). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/165