|
Showing 1 - 1 of
1 matches in All Departments
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
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.