000 | 04150nam a22004935i 4500 | ||
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001 | 978-3-031-02345-3 | ||
003 | DE-He213 | ||
005 | 20240730163910.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2015 sz | s |||| 0|eng d | ||
020 |
_a9783031023453 _9978-3-031-02345-3 |
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024 | 7 |
_a10.1007/978-3-031-02345-3 _2doi |
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050 | 4 | _aQA76.9.A25 | |
072 | 7 |
_aUR _2bicssc |
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_aUTN _2bicssc |
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_aCOM053000 _2bisacsh |
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_aUR _2thema |
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_aUTN _2thema |
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082 | 0 | 4 |
_a005.8 _223 |
100 | 1 |
_aTang, Jiliang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981096 |
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245 | 1 | 0 |
_aTrust in Social Media _h[electronic resource] / _cby Jiliang Tang, Huan Liu. |
250 | _a1st ed. 2015. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
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300 |
_aXIII, 115 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Information Security, Privacy, and Trust, _x1945-9750 |
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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. | ||
650 | 0 |
_aData protection. _97245 |
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650 | 1 | 4 |
_aData and Information Security. _931990 |
700 | 1 |
_aLiu, Huan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _981097 |
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710 | 2 |
_aSpringerLink (Online service) _981098 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031012174 |
776 | 0 | 8 |
_iPrinted edition: _z9783031034732 |
830 | 0 |
_aSynthesis Lectures on Information Security, Privacy, and Trust, _x1945-9750 _981099 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02345-3 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
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