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| 001 | 978-3-031-01915-9 | ||
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| 008 | 220601s2019 sz | s |||| 0|eng d | ||
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_a9783031019159 _9978-3-031-01915-9 |
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_a10.1007/978-3-031-01915-9 _2doi |
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_a006.312 _223 |
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_aShu, Kai. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _978644 |
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| 245 | 1 | 0 |
_aDetecting Fake News on Social Media _h[electronic resource] / _cby Kai Shu, Huan Liu. |
| 250 | _a1st ed. 2019. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
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| 300 |
_aXI, 121 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Data Mining and Knowledge Discovery, _x2151-0075 |
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| 505 | 0 | _aAcknowledgments -- Introduction -- What News Content Tells -- How Social Context Helps -- Challenging Problems of Fake News Detection -- Bibliography -- Authors' Biographies . | |
| 520 | _aIn the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information: http://dmml.asu.edu/dfn/. | ||
| 650 | 0 |
_aData mining. _93907 |
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| 650 | 0 |
_aStatistics . _931616 |
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| 650 | 1 | 4 |
_aData Mining and Knowledge Discovery. _978645 |
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_aStatistics. _914134 |
| 700 | 1 |
_aLiu, Huan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _978646 |
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_aSpringerLink (Online service) _978647 |
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