Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli
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 YouT...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/84215/1/84215.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uitm-ir.84215 |
---|---|
record_format |
uketd_dc |
spelling |
my-uitm-ir.842152024-04-29T07:46:00Z Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli 2019 Mohd Rosli, Roshaliza Social groups. Group dynamics 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. 2019 Thesis https://ir.uitm.edu.my/id/eprint/84215/ https://ir.uitm.edu.my/id/eprint/84215/1/84215.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Mohd Lokman, Anitawati |
institution |
Universiti Teknologi MARA |
collection |
UiTM Institutional Repository |
language |
English |
advisor |
Mohd Lokman, Anitawati |
topic |
Social groups Group dynamics |
spellingShingle |
Social groups Group dynamics Mohd Rosli, Roshaliza Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli |
description |
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. |
format |
Thesis |
qualification_name |
Doctor of Philosophy (PhD.) |
qualification_level |
Doctorate |
author |
Mohd Rosli, Roshaliza |
author_facet |
Mohd Rosli, Roshaliza |
author_sort |
Mohd Rosli, Roshaliza |
title |
Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli |
title_short |
Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli |
title_full |
Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli |
title_fullStr |
Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli |
title_full_unstemmed |
Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli |
title_sort |
affective classification model based on emotional response and visual maker in extremist youtube video / roshaliza mohd rosli |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Computer and Mathematical Sciences |
publishDate |
2019 |
url |
https://ir.uitm.edu.my/id/eprint/84215/1/84215.pdf |
_version_ |
1804889715534462976 |