Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli

Mohd Rosli, Roshaliza (2019) Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli. PhD thesis, Universiti Teknologi MARA (UiTM).

Abstract

The research started with concern on issue relevant to Internet ethics then delved into User experience (UX). Extremist YouTube videos (EYV) have been associated with the 'Dark side' and young viewers are prone to the negative influence that comes with it. Under community guideline by YouTube, these videos are not appropriate for public viewing for containing violent content and may cause emotional discomfort. The videos may carry extreme message that moved the viewers emotionally through embedded part that calls for visual attention - also known as visual markers.

Metadata

Item Type:	Thesis (PhD)
Creators:	Creators Email / ID Num. Mohd Rosli, Roshaliza UNSPECIFIED
Contributors:	Contribution Name Email / ID Num. Thesis advisor Mohd Lokman, Anitawati UNSPECIFIED
Subjects:	H Social Sciences > HM Sociology > Groups and organizations > Social groups. Group dynamics
Divisions:	Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme:	Doctor of Philosophy (Information Technology)
Keywords:	Young viewers, emotional discomfort, visual markers
Date:	2019
URI:	https://ir.uitm.edu.my/id/eprint/84215