From Trolling to Cyberbullying: Using Machine Learning and Network Analysis to Study Anti-Social Behavior on Social Media
A two-page HT '23 tutorial paper describing how to use the Communalytic tool's toxicity analysis and signed network analysis to detect and study anti-social behavior on social media.
doi
10.1145/3603163.3610531
isbn
979-8-4007-0232-7
name
From Trolling to Cyberbullying: Using Machine Learning and Network Analysis to Study Anti-Social Behavior on Social Media
source
pdf
acm_url
https://dl.acm.org/doi/10.1145/3603163.3610531
authors
Anatoliy Gruzd, Philip Mai, Felipe Bonow Soares
doi_url
https://doi.org/10.1145/3603163.3610531
license
© Copyright held by the owner/author(s).
summary
A two-page HT '23 tutorial paper describing how to use the Communalytic tool's toxicity analysis and signed network analysis to detect and study anti-social behavior on social media.
published
2023-09-04
conference
HT '23: 34th ACM Conference on Hypertext and Social Media, Rome, Italy, September 4-8, 2023
open_access
false
acm_html_url
https://dl.acm.org/doi/full/10.1145/3603163.3610531
displayAuthor
Anatoliy Gruzd, Philip Mai, Felipe Bonow Soares
displayPublishTime
2023-09-04