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Provenance Data in Social Media, Like New Used, Free shipping in the US

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eBay item number:388288196126
Last updated on Jul 09, 2025 05:13:10 MYTView all revisionsView all revisions

Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
Book Title
Provenance Data in Social Media
ISBN
9783031007767

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
303100776X
ISBN-13
9783031007767
eBay Product ID (ePID)
6057271838

Product Key Features

Number of Pages
Xii, 72 Pages
Language
English
Publication Name
Provenance Data in Social Media
Publication Year
2013
Subject
Probability & Statistics / General, Databases / Data Mining
Type
Textbook
Subject Area
Mathematics, Computers
Author
Zhuo Feng, Huan Liu, Pritam Gundecha, Geoffrey Barbier
Series
Synthesis Lectures on Data Mining and Knowledge Discovery Ser.
Format
Trade Paperback

Dimensions

Item Weight
6.5 Oz
Item Length
9.3 in
Item Width
7.5 in

Additional Product Features

Number of Volumes
1 vol.
Illustrated
Yes
Original Language
English
Table Of Content
Information Provenance in Social Media.- Provenance Attributes.- Provenance via Network Information.- Provenance Data.
Synopsis
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 judgements about statements published in social media. Table of Contents: Information Provenance in Social Media / Provenance Attributes / Provenance via Network Information / Provenance Data
LC Classification Number
QA76.9.D343

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