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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| Format: | Thesis |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/84215/1/84215.pdf |
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| Summary: | 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. |
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