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Register a new userTackling Multilinguality and Internationality in Fake News
معالجة تعدد اللجوء والترويج في أخبار وهمية
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شهدت السنوات القليلة الماضية زيادة هائلة في كمية وتأثير التضاعف الذي ينتشر عبر الإنترنت. تم تطوير نهج مختلفة لاستهداف العملية في مراحل مختلفة من تحديد مصادر لتتبع التوزيع في وسائل التواصل الاجتماعي لتوفير Debunks المتابعة للأشخاص الذين واجهوا التضليل. أحد الاستنتاجات الشائعة في كل من هذه الأساليب هو أن التضليل محكوم للغاية وموضوعي موضوعي للحلول الآلية بالكامل للعمل ولكن كمية البيانات المعالجة والرجوع إليها مرتفعة للغاية بالنسبة للبشر للتعامل معهم. في النهاية، تدعو المشكلة إلى نهج هجين لخبراء البشر مع المساعدة التكنولوجية. في هذه الورقة، سنقوم بتظهر تطبيق تقنيات معينة من أحدث تقنيات NLP في مساعدة Debunkers الخبراء ودخري الحقائق بالإضافة إلى دور خوارزميات NLP هذه في اتباع نهج أكثر شمولا لتحليل ومكافحة انتشار التضليل. سنقدم وجعة متعددة اللغات من التضليل والضغطات التي تحتوي على نص وعلامات مفاهيم وصور ومقاطع فيديو بالإضافة إلى طرق مختلفة للبحث والاستفادة من المحتوى.
The last several years have seen a massive increase in the quantity and influence of disinformation being spread online. Various approaches have been developed to target the process at different stages from identifying sources to tracking distribution in social media to providing follow up debunks to people who have encountered the disinformation. One common conclusion in each of these approaches is that disinformation is too nuanced and subjective a topic for fully automated solutions to work but the quantity of data to process and cross-reference is too high for humans to handle unassisted. Ultimately, the problem calls for a hybrid approach of human experts with technological assistance. In this paper we will demonstrate the application of certain state-of-the-art NLP techniques in assisting expert debunkers and fact checkers as well as the role of these NLP algorithms within a more holistic approach to analyzing and countering the spread of disinformation. We will present a multilingual corpus of disinformation and debunks which contains text, concept tags, images and videos as well as various methods for searching and leveraging the content.
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