000			04013nam a22004095i 4500
999			_c387493 _d387493
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003			ES-MaUEC
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007			cr nn 008mamaa
008			230413s2015 sz | s |||| 0|eng d
020			_a9783031023453
024	7		_a10.1007/978-3-031-02345-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHM742 _b2015 EB
100	1		_aTang, Jiliang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688083
245	1	0	_aTrust in Social Media _cby Jiliang Tang, Huan Liu
250			_a1st edition 2015
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XIII, 115 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Information Security Privacy and Trust _x1945-9750
505	0		_aAcknowledgments -- Introduction -- Representing Trust -- Predicting Trust -- Applying Trust -- Incorporating Distrust -- Epilogue -- Bibliography -- Authors' Biographies .
520			_aSocial media greatly enables people to participate in online activities and shatters the barrier for online users to create and share information at any place at any time. However, the explosion of user-generated content poses novel challenges for online users to find relevant information, or, in other words, exacerbates the information overload problem. On the other hand, the quality of user-generated content can vary dramatically from excellence to abuse or spam, resulting in a problem of information credibility. The study and understanding of trust can lead to an effective approach to addressing both information overload and credibility problems. Trust refers to a relationship between a trustor (the subject that trusts a target entity) and a trustee (the entity that is trusted). In the context of social media, trust provides evidence about with whom we can trust to share information and from whom we can accept information without additional verification. With trust, we make the mental shortcut by directly seeking information from trustees or trusted entities, which serves a two-fold purpose: without being overwhelmed by excessive information (i.e., mitigated information overload) and with credible information due to the trust placed on the information provider (i.e., increased information credibility). Therefore, trust is crucial in helping social media users collect relevant and reliable information, and trust in social media is a research topic of increasing importance and of practical significance. This book takes a computational perspective to offer an overview of characteristics and elements of trust and illuminate a wide range of computational tasks of trust. It introduces basic concepts, deliberates challenges and opportunities, reviews state-of-the-art algorithms, and elaborates effective evaluation methods in the trust study. In particular, we illustrate properties and representation models of trust, elucidate trust prediction with representative algorithms, and demonstrate real-world applications where trust is explicitly used. As a new dimension of the trust study, we discuss the concept of distrust and its roles in trust computing.
988			_aSynthesis Collection of Technology_2015
650		7	_2embne _9405024 _aMedios de comunicación social _xAspectos morales
700	1		_aLiu, Huan, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _949086 _d1958-
776	0	8	_iPrinted edition: _z9783031012174
776	0	8	_iPrinted edition: _z9783031034732
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02345-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI