000 | 01394nab a22003257c 4500 | ||
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_c5877 _d5877 |
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001 | 00005877 | ||
003 | ES-MaONT | ||
005 | 20211004062550.0 | ||
008 | 200402s2020 |||p| |||| 00| 0 eng d | ||
040 |
_c. _aES-MaONT |
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245 | 0 | 0 |
_aDetecting Fake News Over Online Social Media via Domain Reputations and Content Understanding _c/ Kuai Xu ... [et al.] |
260 | _c2020 | ||
300 |
_aP. 20-27 : _bgráf. ; _c1 documento PDF |
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336 |
_atexto (visual) _2isbdcontent |
||
337 |
_aelectrónico _2isbdmedia |
||
338 |
_arecurso en línea _2rdacarrier |
||
520 | _aThis paper characterizes hundreds of popular fake and real news measured by shares, reactions, and comments on Facebook from two perspectives: domain reputations and content understanding | ||
540 | _aThe articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). | ||
650 | 0 |
_aSociedad digital _97 |
|
653 | _afake news | ||
653 | _afalse news | ||
653 | _asocial media | ||
653 | _aWeb sites | ||
653 | _atechnology | ||
700 | 1 |
_aKuai, Xu _94371 |
|
773 |
_tTsinghua Science and Technology _gVolume 25, Number 1, _x1007-0214 |
||
856 | 4 |
_uhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8768083 _x0 _yAcceso al documento _qpdf |
|
942 |
_2udc _cART |