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سارة عبدالغني إبراهيم الخضير

Assistant Professor

عضو هيئة تدريس

علوم الحاسب والمعلومات
مبنى ٦، الدور الثالث، مكتب رقم ٦٨
المنشورات
مقال فى مجلة
2018

Detecting breaking news rumors of emerging topics in social media

Liu, Sarah A. Alkhodair, Steven H. H. Ding, Benjamin C. M. Fung, and Junqiang . 2018

Users of social media websites tend to rapidly spread breaking news and trending stories without considering their truthfulness. This facilitates the spread of rumors through social networks. A rumor is a story or statement for which truthfulness has not been verified. Efficiently detecting and acting upon rumors throughout social networks is of high importance to minimizing their harmful effect. However, detecting them is not a trivial task. They belong to unseen topics or events that are not covered in the training dataset. In this paper, we study the problem of detecting breaking news rumors, instead of long-lasting rumors, that spread in social media. We propose a new approach that jointly learns word embeddings and trains a recurrent neural network with two different objectives to automatically identify rumors. The proposed strategy is simple but effective to mitigate the topic shift issues. Emerging rumors do not have to be false at the time of the detection. They can be deemed later to be true or false. However, most previous studies on rumor detection focus on long-standing rumors and assume that rumors are always false. In contrast, our experiment simulates a cross-topic emerging rumor detection scenario with a real-life rumor dataset. Experimental results suggest that our proposed model outperforms state-of-the-art methods in terms of precision, recall, and F1.

رقم المجلد
2
رقم الانشاء
57
مجلة/صحيفة
Elsevier’s Information Processing and Management Journal - A Special Issue on Mining Social Influence and Actionable Insights from Social Networks
مزيد من المنشورات
publications

Users of social media websites tend to rapidly spread breaking news and trending stories without…

بواسطة Sarah A. Alkhodair, Steven H. H. Ding, Benjamin C. M. Fung, and Junqiang Liu
2018
publications

Topic models were proposed to detect the underlying semantic structure of large collections of text documents to facilitate the process of browsing and accessing documents with similar ideas and…

بواسطة Sarah A. Alkhodair, Benjamin C. M. Fung, Osmud Rahman, and Patrick C. K. Hung
2018