News Monitor: A Framework for Exploring News in Real-Time
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Data |
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| Online Access: | https://www.mdpi.com/2306-5729/7/1/3 |
| _version_ | 1827666038358016000 |
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| author | Nikolaos Panagiotou Antonia Saravanou Dimitrios Gunopulos |
| author_facet | Nikolaos Panagiotou Antonia Saravanou Dimitrios Gunopulos |
| author_sort | Nikolaos Panagiotou |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T01:39:23Z |
| format | Article |
| id | doaj.art-63d5fec2f6e14945aa6bb83d22b4d3ef |
| institution | Directory Open Access Journal |
| issn | 2306-5729 |
| language | English |
| last_indexed | 2024-03-10T01:39:23Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Data |
| spelling | doaj.art-63d5fec2f6e14945aa6bb83d22b4d3ef2023-11-23T13:26:14ZengMDPI AGData2306-57292021-12-0171310.3390/data7010003News Monitor: A Framework for Exploring News in Real-TimeNikolaos Panagiotou0Antonia Saravanou1Dimitrios Gunopulos2Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimioupolis, Ilissia, 15784 Athens, GreeceDepartment of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimioupolis, Ilissia, 15784 Athens, GreeceDepartment of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimioupolis, Ilissia, 15784 Athens, GreeceNews 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.https://www.mdpi.com/2306-5729/7/1/3news monitoringnews articles analysisevent detectionquestion answering |
| spellingShingle | Nikolaos Panagiotou Antonia Saravanou Dimitrios Gunopulos News Monitor: A Framework for Exploring News in Real-Time Data news monitoring news articles analysis event detection question answering |
| title | News Monitor: A Framework for Exploring News in Real-Time |
| title_full | News Monitor: A Framework for Exploring News in Real-Time |
| title_fullStr | News Monitor: A Framework for Exploring News in Real-Time |
| title_full_unstemmed | News Monitor: A Framework for Exploring News in Real-Time |
| title_short | News Monitor: A Framework for Exploring News in Real-Time |
| title_sort | news monitor a framework for exploring news in real time |
| topic | news monitoring news articles analysis event detection question answering |
| url | https://www.mdpi.com/2306-5729/7/1/3 |
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