Fake News Detection Based on Subjective Opinions
| العنوان: | Fake News Detection Based on Subjective Opinions |
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| المؤلفون: | Danchen Zhang, Vladimir Zadorozhny |
| المصدر: | Advances in Databases and Information Systems ISBN: 9783030548315 ADBIS |
| بيانات النشر: | Springer International Publishing, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 050101 languages & linguistics, Focus (computing), Information retrieval, Computer science, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, Data reliability, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, Social media, 02 engineering and technology, Fake news, Reliability (statistics) |
| الوصف: | Fake news fluctuates social media, leading to harmful consequences. Several types of information could be utilized to detect fake news, such as news content features and news propagation features. In this study, we focus on the user spreading news behaviors on social media platforms and aim to detect fake news more effectively with more accurate data reliability assessment. We introduce Subjective Opinions into reliability evaluation and proposed two new methods. Experiments on two popular real-world datasets, BuzzFeed and PolitiFact, validates that our proposed Subjective Opinions based method can detect fake news more accurately than all existing methods, and another proposed probability based method achieves state-of-art performance. |
| ردمك: | 978-3-030-54831-5 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::df428bd82e7f3b082578fedf701f728d https://doi.org/10.1007/978-3-030-54832-2_10 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........df428bd82e7f3b082578fedf701f728d |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030548315 |
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