000 03972nam a22005415i 4500
001 978-3-031-01904-3
003 DE-He213
005 20240730164924.0
007 cr nn 008mamaa
008 220601s2013 sz | s |||| 0|eng d
020 _a9783031019043
_9978-3-031-01904-3
024 7 _a10.1007/978-3-031-01904-3
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema
082 0 4 _a006.312
_223
100 1 _aBarbier, Geoffrey.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986676
245 1 0 _aProvenance Data in Social Media
_h[electronic resource] /
_cby Geoffrey Barbier, Zhuo Feng, Pritam Gundecha, Huan Liu.
250 _a1st ed. 2013.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2013.
300 _aXII, 72 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aData mining.
_93907
650 0 _aStatistics .
_931616
650 1 4 _aData Mining and Knowledge Discovery.
_986679
650 2 4 _aStatistics.
_914134
700 1 _aFeng, Zhuo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986681
700 1 _aGundecha, Pritam.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986682
700 1 _aLiu, Huan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986684
710 2 _aSpringerLink (Online service)
_986686
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031007767
776 0 8 _iPrinted edition:
_z9783031030321
830 0 _aSynthesis Lectures on Data Mining and Knowledge Discovery,
_x2151-0075
_986687
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01904-3
912 _aZDB-2-SXSC
942 _cEBK
999 _c85991
_d85991