| 000 | 04751nam a2200733 i 4500 | ||
|---|---|---|---|
| 001 | 8758609 | ||
| 003 | IEEE | ||
| 005 | 20200413152932.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 190729s2019 caua fob 000 0 eng d | ||
| 020 |
_a9781681735832 _qelectronic |
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| 020 |
_z9781681735849 _qhardcover |
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| 020 |
_z9781681735825 _qpaperback |
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| 024 | 7 |
_a10.2200/S00926ED1V01Y201906DMK018 _2doi |
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| 035 | _a(CaBNVSL)thg00979287 | ||
| 035 | _a(OCoLC)1108588540 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aPN4784.F27 _bS584 2019eb |
|
| 082 | 0 | 4 |
_a070.43 _223 |
| 100 | 1 |
_aShu, Kai, _eauthor. |
|
| 245 | 1 | 0 |
_aDetecting fake news on social media / _cKai Shu and Huan Liu. |
| 264 | 1 |
_a[San Rafael, California] : _bMorgan & Claypool, _c[2019] |
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| 300 |
_a1 PDF (xiii, 115 pages) : _billustrations (chiefly color). |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aSynthesis lectures on data mining and knowledge discovery, _x2151-0075 ; _v#18 |
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| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: Adobe Acrobat Reader. | ||
| 500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
| 504 | _aIncludes bibliographical references (pages 97-113). | ||
| 505 | 0 | _a1. Introduction -- 1.1. Motivation -- 1.2. An interdisciplinary view on fake news -- 1.3. Fake news in social media age | |
| 505 | 8 | _a2. What news content tells -- 2.1. Textual features -- 2.2. Visual features -- 2.3. Style features -- 2.4. Knowledge-based methods | |
| 505 | 8 | _a3. How social context helps -- 3.1. User-based detection -- 3.2. Post-based detection -- 3.3. Network-based detection | |
| 505 | 8 | _a4. Challenging problems of fake news detection -- 4.1. Fake news early detection -- 4.2. Weakly supervised fake news detection -- 4.3. Explainable fake news detection. | |
| 506 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | ||
| 510 | 0 | _aCompendex | |
| 510 | 0 | _aINSPEC | |
| 510 | 0 | _aGoogle scholar | |
| 510 | 0 | _aGoogle book search | |
| 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: | ||
| 530 | _aAlso available in print. | ||
| 588 | _aTitle from PDF title page (viewed on July 29, 2019). | ||
| 650 | 0 | _aFake news. | |
| 650 | 0 | _aSocial media. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aMachine learning. | |
| 653 | _afake news | ||
| 653 | _amisinformation | ||
| 653 | _adisinformation | ||
| 653 | _asocial computing | ||
| 653 | _asocial media | ||
| 653 | _adata mining | ||
| 653 | _asocial cyber security | ||
| 653 | _amachine learning | ||
| 655 | 0 | _aElectronic books. | |
| 700 | 1 |
_aLiu, Huan, _eauthor. |
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| 776 | 0 | 8 |
_iPrint version: _z9781681735849 _z9781681735825 |
| 830 | 0 | _aSynthesis digital library of engineering and computer science. | |
| 830 | 0 |
_aSynthesis lectures on data mining and knowledge discovery ; _v#18. |
|
| 856 | 4 | 0 |
_3Abstract with links to full text _uhttps://doi.org/10.2200/S00926ED1V01Y201906DMK018 |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=8758609 |
| 999 |
_c562424 _d562424 |
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