Using artificial intelligence algorithms to Sentiment analysis of Global video journalism users towards Saudi women

doi:10.21608/jsb.2024.337417.1845

Using artificial intelligence algorithms to Sentiment analysis of Global video journalism users towards Saudi women

Document Type : Original Article

10.21608/jsb.2024.337417.1845

Abstract

The study aimed to identify the patterns of emotional attitudes of users of international video journalism (British and American) towards Saudi women and their causes and qualitative analysis of a sample of comments.
The descriptive, analytical, and comparative method was used. Relying on artificial intelligence algorithms, starting with data collection in Python, the YouTube_dl library, for the graphical visualization stage of the results. The total sample of the study reached (25,526) comments.
The study concluded that there is still ambiguity and a lack of a true view of Saudi women in international video journalism. Neutral trends came in the highest percentage, then positive, then negative. The negative discussions were linked to the Islamic religion, and they made false accusations that Islam is the cause of any evil and directed the utmost insult to women just because they were immodest.
The most frequent words in the study newspapers were very similar: (Muslim—the Qur’an—religion), which indicates that the discussions significantly linked Saudi women to the Islamic religion. As for the emoji symbols, they are fear first, then happiness symbols. This indicates that feelings of happiness mixed with anxiety, while feelings of anger and aversion declined significantly.

Keywords

Main Subjects

Press and publishing

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