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Register a new userAre we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content
هل نحن بشر أو نحن المستخدمون؟دور معالجة اللغات الطبيعية في توصية الأخبار التي تركز على الإنسان أن يدفع المستخدمين إلى محتوى متنوع
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في ورقة الموقف هذه، نقدم جدول أعمال وأفكار بحثية لتسهيل التعرض للنقاط المتنوعة في توصية الأخبار. التوصية الأخبار من وجهات النظر المتنوعة مهمة لمنع تأثيرات فقاعة المرشح المحتملة في الاستهلاك الأخبار، وتحفيز نقاش صحي ديمقراطي. لحساب التعقيد الذي يتصاعد للبشر كمواطنين في الديمقراطية، نتوقع (من بين أمور أخرى) اختلافات على المستوى الفردي في قبول التنوع. نقوم بتوصيل هذه الفكرة بالتقنيات في معالجة اللغة الطبيعية، حيث تتيح لنا نماذج اللغة التوزيعية لوضع مستخدمين مختلفين ومقالات إخبارية في مساحة متعددة الأبعاد بناء على المحتوى الدلالي، حيث يتم تشغيل التنوع كمسافة وتباين. وبهذه الطريقة، يمكننا تصميم خطوط العرض الفردية من التنوع "بالنسبة للمستخدمين المختلفين، وبالتالي تخصيص تنوع وجهة نظر لدعم مناقشة عامة صحية. بالإضافة إلى ذلك، نحدد القضايا التقنية والأخلاقية والمفاهيمية المتعلقة بأفكارنا المقدمة. وصفنا يصف كيف يمكن ل NLP لعب دورا رئيسيا في تنويع توصيات الأخبار.
In this position paper, we present a research agenda and ideas for facilitating exposure to diverse viewpoints in news recommendation. Recommending news from diverse viewpoints is important to prevent potential filter bubble effects in news consumption, and stimulate a healthy democratic debate.To account for the complexity that is inherent to humans as citizens in a democracy, we anticipate (among others) individual-level differences in acceptance of diversity. We connect this idea to techniques in Natural Language Processing, where distributional language models would allow us to place different users and news articles in a multidimensional space based on semantic content, where diversity is operationalized as distance and variance. In this way, we can model individual latitudes of diversity'' for different users, and thus personalize viewpoint diversity in support of a healthy public debate. In addition, we identify technical, ethical and conceptual issues related to our presented ideas. Our investigation describes how NLP can play a central role in diversifying news recommendations.
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