000			03747nam a22004335i 4500
999			_c387869 _d387869
001			387869
003			ES-MaUEC
005			20230426090859.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			230426s2013 sz | s |||| 0|eng d
020			_a9783031019043
024	7		_a10.1007/978-3-031-01904-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHM742 _b2013 EB
100	1		_aBarbier, Geoffrey _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688266
245	1	0	_aProvenance Data in Social Media _cby Geoffrey Barbier, Zhuo Feng, Pritam Gundecha, Huan Liu
250			_a1st edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XII, 72 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Mining and Knowledge Discovery _x2151-0075
505	0		_aInformation Provenance in Social Media -- Provenance Attributes -- Provenance via Network Information -- Provenance Data.
520			_aSocial 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 judgements about statements published in social media. Table of Contents: Information Provenance in Social Media / Provenance Attributes / Provenance via Network Information / Provenance Data.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9405024 _aMedios de comunicación social
700	1		_aFeng, Zhuo, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688267 _d1980-
700	1		_aGundecha, Pritam _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688268
700	1		_aLiu, Huan, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _949086 _d1958-
776	0	8	_iPrinted edition: _z9783031007767
776	0	8	_iPrinted edition: _z9783031030321
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01904-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI