Social Media Mining: An Introduction

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CUUS2079-07 CUUS2079-Zafarani 978 1 107 01885 3 January 13, 2014 17:17


186 Information Diffusion in Social Media

R

RB

R B R B

RB

{R}

{R,R}

{R,R,R} {R,R,R} {B,B,B}

Herding


{B,B,B}

{B,B}

{R,R}
or
{R,B}

{B,B}
or
{B,R}

{B}

B

{}

Figure 7.3. Urn Experiment. Rectangles represent student predictions written on the
blackboard, and edge values represent what the students observe. Rectangles are filled
with the most likely majority, computed from conditional probabilities.

7.1.2 Intervention

As herding converges to a consensus over time, it is interesting how one
can intervene with this process. In general, intervention is possible by pro-
viding private information to individuals that was not previously available.
Consider an urn experiment where individuals decide on majority red over
time. Either (1) a private message to individuals informing them that the
urn is majority blue or (2) writing the observations next to predictions on
the board stops the herding and changes decisions.

7.2 Information Cascades
In social media, individuals commonly repost content posted by others
in the network. This content is often received via immediate neighbors
(friends). Aninformation cascadeoccurs as information propagates through
friends.
Formally, an information cascade is defined as a piece of information or
decision being cascaded among a set of individuals, where (1) individuals
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