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Register a new userToward Discourse-Aware Models for Multilingual Fake News Detection
نحو نماذج خطاب علم الكشف عن الأخبار المزيفة متعددة اللغات
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تعتبر البيانات التي يتم إساءة فهمها عن قصد (أو التلاعب) باهتمام كبير للباحثين والحكومة والأمن والنظم المالية. وفقا لأدب الخداع، هناك إشارات موثوقة للكشف عن الخداع والاعتقاد بأن الكذابين يعطون العظة التي قد تشير إلى أن خداعها قريب عالمي. لذلك، بالنظر إلى أن الإجراءات الخادعة تتطلب التطور المعرفي المتقدمة التي لا تتطلب الصدق ببساطة، وكذلك الآليات المعرفية للناس توجيهات واعدة للكشف عن الخداع، في هذه الدكتوراه. البحث المستمر، نقترح فحص أنماط هيكل الخطاب في كورسيا الأخبار الخادعة متعددة اللغات باستخدام إطار نظرية الهيكل البوليكي. بالنظر إلى أن عملنا هو أول من استغلال استراتيجيات إعلانات متعددة اللغات للكشف عن الأخبار المزيفة، يفتقر مجتمع البحث حاليا إلى كورسا المزدحمة الخادعة متعددة اللغات. تبعا لذلك، تصف هذه الورقة التقدم الحالي في هذه الأطروحة، بما في ذلك (1) بناء أول لجنة خادعة متعددة اللغات، مشروح من قبل المتخصصين وفقا لإطار نظرية الهيكل البوليكي، و (2) إدخال اثنين من علاقات بلاطية جديدة : التدخل والحتمية، التي نفترض أن نكون ذات صلة بمهمة الكشف عن الأخبار المزيفة.
Statements that are intentionally misstated (or manipulated) are of considerable interest to researchers, government, security, and financial systems. According to deception literature, there are reliable cues for detecting deception and the belief that liars give off cues that may indicate their deception is near-universal. Therefore, given that deceiving actions require advanced cognitive development that honesty simply does not require, as well as people's cognitive mechanisms have promising guidance for deception detection, in this Ph.D. ongoing research, we propose to examine discourse structure patterns in multilingual deceptive news corpora using the Rhetorical Structure Theory framework. Considering that our work is the first to exploit multilingual discourse-aware strategies for fake news detection, the research community currently lacks multilingual deceptive annotated corpora. Accordingly, this paper describes the current progress in this thesis, including (i) the construction of the first multilingual deceptive corpus, which was annotated by specialists according to the Rhetorical Structure Theory framework, and (ii) the introduction of two new proposed rhetorical relations: INTERJECTION and IMPERATIVE, which we assume to be relevant for the fake news detection task.
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