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

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...

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Bibliographic Details
Main Author: Mohd Rosli, Roshaliza
Format: Thesis
Language:English
Published: 2019
Subjects:
Social groups
Group dynamics
Online Access:https://ir.uitm.edu.my/id/eprint/84215/1/84215.pdf
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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

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