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Register a new userTowards Quantifying Magnitude of Political Bias in News Articles Using a Novel Annotation Schema
نحو تحديد حجم التحيز السياسي في مقالات إخبارية باستخدام مخطط توضيحي جديد
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تحيز وسائل الإعلام هي ظاهرة سائدة موجودة في معظم أشكال الوسائط المطبوعة والإلكترونية مثل المقالات الإخبارية والمدونات أو التغريدات، وما إلى ذلك. نظرا لأن وسائل الإعلام تلعب دورا محوريا في تشكيل الرأي العام تجاه الأحداث السياسية، غالبا ما تستخدم كل من الأحزاب السياسية والإعلام في كثير من الأحيان هذه المصادركمنافذ لنشر التحيزات الخاصة بهم للجمهور.كانت هناك بعض الأبحاث حول الكشف عن التحيز السياسي في مقالات إخبارية.ومع ذلك، لا يحاول أي منه تحليل طبيعة التحيز أو تحديد حجم التحيز في نص معين.تقدم هذه الورقة تحيزا سياسيا مشروحا كوربوس بيز.POBICO-21، المشروح باستخدام مخطط مصمم خصيصا مع 10 ملصقات لالتقاط تقنيات مختلفة تستخدم لإنشاء تحيز سياسي في الأخبار.نخلق تصنيف هذه التقنيات بناء على مساهمتها في التحيز.بعد التحقق من صحة الترتيب، نقترح طرق لاستخدامها لتحديد حجم التحيز في المقالات الإخبارية السياسية.
Media bias is a predominant phenomenon present in most forms of print and electronic media such as news articles, blogs, tweets, etc. Since media plays a pivotal role in shaping public opinion towards political happenings, both political parties and media houses often use such sources as outlets to propagate their own prejudices to the public. There has been some research on detecting political bias in news articles. However, none of it attempts to analyse the nature of bias or quantify the magnitude ofthe bias in a given text. This paper presents a political bias annotated corpus viz. PoBiCo-21, which is annotated using a schema specifically designed with 10 labels to capture various techniques used to create political bias in news. We create a ranking of these techniques based on their contribution to bias. After validating the ranking, we propose methods to use it to quantify the magnitude of bias in political news articles.
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