EAN: 9783031007767

SYNTHESIS LECTURES ON DATA MINING AND KNOWLEDGE...

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

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