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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
https://ir.uitm.edu.my/id/eprint/84215/
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id my.uitm.ir.84215
record_format eprints
spelling my.uitm.ir.842152024-04-29T07:46:00Z https://ir.uitm.edu.my/id/eprint/84215/ Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84215/1/84215.pdf Affective classification model based on emotional response and visual maker in extremist Youtube video / Roshaliza Mohd Rosli. (2019) PhD thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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
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
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/84215/1/84215.pdf
https://ir.uitm.edu.my/id/eprint/84215/
_version_ 1797924710924681216
score 13.211869

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