Presentation Title

Analyzing Sentiments from Street Harassment Stories

Advisor Information

Parvathi Chundi

Location

Milo Bail Student Center Council Room

Presentation Type

Oral Presentation

Start Date

8-3-2013 10:00 AM

End Date

8-3-2013 10:15 AM

Abstract

Street harassment is a pervasive problem that typically targets women and LGBTQ community. There are currently no effective methods to deal with the harassers because the acts of harassment happen randomly and are difficult, if not impossible, to prosecute. Hollaback! is an international movement aimed at stopping street harassment, and one of the ways Hollaback! raises awareness and gathers statistics is through supporting a system of blog posts through which Hollaback! servers collect street harassment stories from victims around the globe. In this research, we completed a preliminary study focused on analyzing small samples of Hollaback! stories submitted from major cities such as New York city. The LIWC software we employ is used to measure the positive and negative emotions hidden in each story and correlate it to the socioeconomic status of the location from which the story was submitted, which is validated through pronoun function rates already identified with socioeconomic status [2]. This research creates a localized knowledge of street harassment effects.

This document is currently not available here.

COinS
 
Mar 8th, 10:00 AM Mar 8th, 10:15 AM

Analyzing Sentiments from Street Harassment Stories

Milo Bail Student Center Council Room

Street harassment is a pervasive problem that typically targets women and LGBTQ community. There are currently no effective methods to deal with the harassers because the acts of harassment happen randomly and are difficult, if not impossible, to prosecute. Hollaback! is an international movement aimed at stopping street harassment, and one of the ways Hollaback! raises awareness and gathers statistics is through supporting a system of blog posts through which Hollaback! servers collect street harassment stories from victims around the globe. In this research, we completed a preliminary study focused on analyzing small samples of Hollaback! stories submitted from major cities such as New York city. The LIWC software we employ is used to measure the positive and negative emotions hidden in each story and correlate it to the socioeconomic status of the location from which the story was submitted, which is validated through pronoun function rates already identified with socioeconomic status [2]. This research creates a localized knowledge of street harassment effects.