000			03917nam a2200517Ii 4500
005			20250919185143.0
008			150428t2013 caua b 000 0 eng
020			_a9781608457830 _qpaperback _cRM109.29
020			_a1608457834 _qpaperback
039		9	_a201508251553 _blan _c201508251525 _dlan _c201508141611 _drahah _y04-28-2015 _zrahah
040			_aCNAUC _beng _erda _cCNAUC _dCNAUC _dNTD _dYDXCP _dBTCTA _dCGU _dIUL _dOCLCO _dNLGGC _dOCLCF _dUKM
090			_aHM742.B347 3
090			_aHM742 _b.B347 3
100	1		_aBarbier, Geoffrey, _eauthor.
245	1	0	_aProvenance data in social media / _cGeoffrey Barbier Air Force Research Laboratory, [and three others].
264		1	_a[San Rafael, California] : _bMorgan & Claypool Publishers, _c[2013].
264		4	_c© 2013.
300			_axi, 72 pages : _billustrations, _c24 cm.
336			_atext _2rdacontent
336			_astill image _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	1		_aSynthesis lectures on data mining and knowledge discovery, _x2151-0067 ; _v#7.
500			_aPrinted version of a work that appears in: Synthesis digital library of engineering and computer science.
504			_aIncludes bibliographical references : (p. 65-70).
506			_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
520	3		_a'Social media shatters the barrier to communicate anytime anywhere for people of all walks of life. The publicly available, virtually free information in social media poses a new challenge to consumers who have to discern whether a piece of information published in social media is reliable. For example, it can be difficult to understand the motivations behind a statement passed from one user to another, without knowing the person who originated the message. Additionally, false information can be propagated through social media, resulting in embarrassment or irreversible damages. Provenance data associated with a social media statement can help dispel rumors, clarify opinions, and confirm facts. However, provenance data about social media statements is not readily available to users today. Currently, providing this data to users requires changing the social media infrastructure or offering subscription services. Taking advantage of social media features, research in this nascent field spearheads the search for a way to provide provenance data to social media users, thus leveraging social media itself by mining it for the provenance data. Searching for provenance data reveals an interesting problem space requiring the development and application of new metrics in order to provide meaningful provenance data to social media users. This lecture reviews the current research on information provenance, explores exciting research opportunities to address pressing needs, and shows how data mining can enable a social media user to make informed judgments about statements published in social media.'--Page [vi].
650		0	_aSocial media.
650		0	_aSocial media _xMathematical models.
650		0	_aData integrity.
650		0	_aData integrity _xMathematical models.
650		0	_aDisclosure of information.
650		0	_aDisclosure of information _xMathematical models.
700	1		_aFeng, Zhuo, _dactive 21st century, _eauthor.
700	1		_aGundecha, Pritam, _eauthor.
700	1		_aLiu, Huan, _d1958- _eauthor.
830		0	_aSynthesis lectures on data mining and knowledge discovery, _x2151-0067 ; _v#7.
907			_a.b16132919 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kHM742.B347 3
914			_avtls003585160
990			_arab
991			_aFakulti Teknologi dan Sains Maklumat
998			_al _b2015-02-04 _cm _da _feng _gcau _y0 _z.b16132919
999			_c684278 _d684278