IAnon: Leveraging Social Network Data to Mitigate Cyberbullying Zahra Ashktorab, Srijan Kumar, Soham De, Jennifer Golbeck Grace Hopper Conference 2014.

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Presentation transcript:

iAnon: Leveraging Social Network Data to Mitigate Cyberbullying Zahra Ashktorab, Srijan Kumar, Soham De, Jennifer Golbeck Grace Hopper Conference 2014

Hannah Smith

“every1 will be happy if you died” “drink bleach” “Go die”

Anonymous Question-Asking Websites

“Ask.fm is just a tool which helps people to communicate with each other, same as any other social network, same as phone, same as piece of paper and pen. Don’t blame a tool… start with yourself… be more polite.” – Mark Terebin, founder of ask.fm

CYBER BULLYING CHARITY

Collecting Data Over 8 million posts from 40,000 user profiles Queried Google for variations of: “go kill yourself” and go “die” 19 public profiles yielded through Google Their connections were crawled in breadth first search fashion until ~40,000 profiles were yielded 3. It fosters a belief in being able to make a difference

“You suck” “You’re ugly” “Go die!” C C “You are awesome” “You’re beautiful” “Keep your head up!” C

Detection Naïve Bayes classifier Linguistic cues, punctuation, inclusive of lexicon Training data from ~13,000 spring.me labeled data (crowdsourced labels) Similar problem to spam classification

Detection Challenges Y do u luk lyk dat I luv u b****! H3y Ur r hot

Charity and Volunteering It is a form of social participation Providing help is a self-validating experience It fosters a belief in being able to make a difference 3. It fosters a belief in being able to make a difference (Wilson and Musik 1999)

Zahra Ashktorab iSchool, University of Maryland zahraashktorab.com