Detection of fake news in the Syrian war

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

After almost eight years of conflict, the humanitarian situation in Syria continues to deteriorate year after year. With multiple opposing parties involved in the armed conflict, much of the news reported about the Syrian war seems to be biased or inclined to support a certain party over the others. With serious human rights violations taking place in the Syrian war, and news sources blaming different sides of the conflict for these violations, interest in the detection of fake news surrounds the Syrian war. In this work, we built a streaming and scraping model to extract news articles of interest from news sources' websites. We built a labeled dataset of news articles about the Syrian conflict. Finally, we built a feature extraction model along with a machine learning model that is able to detect fake news in the Syrian conflict and generalize to other types of fake news.

روابط وملفات

التعريف والنوع

رقم الوثيقة

f3490b5c-0d79-4c60-87be-ea517601d8c4

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

1632316_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":" Roaa Al-Feel","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"فاطمة أبو سالم","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Detection of fake news in the Syrian war

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

فاطمة أبو سالم

الإعداد

Roaa Al-Feel

الاقتباسات الببليوغرافية