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Article

News Monitor: A Framework for Exploring News in Real-Time †

Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimioupolis, Ilissia, 15784 Athens, Greece
*
Author to whom correspondence should be addressed.
This paper is an extended vesion of “Saravanou, A.; Panagiotou, N.; Gunopulos, D. News Monitor: A Framework for Querying News in Real Time. In Proceedings of 43rd European Conference on IR Research, ECIR 2021, Virtual Event, 28 March–1 April 2021; pp. 543–548”.
Academic Editor: Giuseppe Ciaburro
Received: 8 November 2021 / Revised: 24 November 2021 / Accepted: 25 November 2021 / Published: 27 December 2021
(This article belongs to the Special Issue Knowledge Extraction from Data Using Machine Learning)
News articles generated by online media are a major source of information. In this work, we present News Monitor, a framework that automatically collects news articles from a wide variety of online news portals and performs various analysis tasks. The framework initially identifies fresh news (first stories) and clusters articles about the same incidents. For every story, at first, it extracts all of the corresponding triples and, then, it creates a knowledge base (KB) using open information extraction techniques. This knowledge base is then used to create a summary for the user. News Monitor allows for the users to use it as a search engine, ask their questions in their natural language and receive answers that have been created by the state-of-the-art framework BERT. In addition, News Monitor crawls the Twitter stream using a dynamic set of “trending” keywords in order to retrieve all messages relevant to the news. The framework is distributed, online and performs analysis in real-time. According to the evaluation results, the fake news detection techniques utilized by News Monitor allow for a F-measure of 82% in the rumor identification task and an accuracy of 92% in the stance detection tasks. The major contribution of this work can be summarized as a novel real-time and scalable architecture that combines various effective techniques under a news analysis framework. View Full-Text
Keywords: news monitoring; news articles analysis; event detection; question answering news monitoring; news articles analysis; event detection; question answering
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MDPI and ACS Style

Panagiotou, N.; Saravanou, A.; Gunopulos, D. News Monitor: A Framework for Exploring News in Real-Time. Data 2022, 7, 3. https://doi.org/10.3390/data7010003

AMA Style

Panagiotou N, Saravanou A, Gunopulos D. News Monitor: A Framework for Exploring News in Real-Time. Data. 2022; 7(1):3. https://doi.org/10.3390/data7010003

Chicago/Turabian Style

Panagiotou, Nikolaos, Antonia Saravanou, and Dimitrios Gunopulos. 2022. "News Monitor: A Framework for Exploring News in Real-Time" Data 7, no. 1: 3. https://doi.org/10.3390/data7010003

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