Campus Event Calendar
Event Entry
What and Who
Knowledge and Information Dissemination: Models and Methods
Utkarsh Upadhyay
MMCI
SWS Student Defense Talks - Thesis Proposal
SWS
Public Audience
English
Note: We use this to send email in the morning.
Date, Time and Location
Thursday, 17 October 2019
16:00
60 Minutes
G26
111
Kaiserslautern
Abstract
In the past, information and knowledge dissemination was
relegated to the brick-and-mortar classrooms, newspapers, radio, and
television. As these processes were simple and centralized, the models
behind them were well understood and so were the empirical methods for
optimizing them. In today's world, the internet and social media has
become a powerful tool for information and knowledge dissemination:
Wikipedia gets more than 1 million edits per day, Stack Overflow has
more than 17 million questions, 25% of US population visits Yahoo! News
for articles and discussions, Twitter has more than 60 million active
monthly users, and Duolingo has 25 million users learning languages online.
These developments have introduced a paradigm shift in the process of
dissemination. Not only has the nature of the task moved from being
centralized to decentralized, but the developments have also blurred the
boundary between the creator and the consumer of the content, i.e.,
information and knowledge. These changes have made it necessary to
develop new models, which are better suited to understanding and
analysing the dissemination, and to develop new methods to optimize them.
At a broad level, we can view the participation of users in the process
of dissemination as falling in one of two settings: collaborative or
competitive. In the collaborative setting, the participants work
together in crafting knowledge online, e.g., by asking questions and
contributing answers, or by discussing news or opinion pieces. In
contrast, as competitors, they vie for the attention of their followers
on social media. The first part of the thesis will propose models for
the complexity of discussions and the evolution of expertise. The latter
part of the thesis will explore the competitive setting where I will
propose computational methods for measuring, and increasing, the
attention received from followers on social media.
relegated to the brick-and-mortar classrooms, newspapers, radio, and
television. As these processes were simple and centralized, the models
behind them were well understood and so were the empirical methods for
optimizing them. In today's world, the internet and social media has
become a powerful tool for information and knowledge dissemination:
Wikipedia gets more than 1 million edits per day, Stack Overflow has
more than 17 million questions, 25% of US population visits Yahoo! News
for articles and discussions, Twitter has more than 60 million active
monthly users, and Duolingo has 25 million users learning languages online.
These developments have introduced a paradigm shift in the process of
dissemination. Not only has the nature of the task moved from being
centralized to decentralized, but the developments have also blurred the
boundary between the creator and the consumer of the content, i.e.,
information and knowledge. These changes have made it necessary to
develop new models, which are better suited to understanding and
analysing the dissemination, and to develop new methods to optimize them.
At a broad level, we can view the participation of users in the process
of dissemination as falling in one of two settings: collaborative or
competitive. In the collaborative setting, the participants work
together in crafting knowledge online, e.g., by asking questions and
contributing answers, or by discussing news or opinion pieces. In
contrast, as competitors, they vie for the attention of their followers
on social media. The first part of the thesis will propose models for
the complexity of discussions and the evolution of expertise. The latter
part of the thesis will explore the competitive setting where I will
propose computational methods for measuring, and increasing, the
attention received from followers on social media.
Contact
--email hidden
Video Broadcast
Yes
Saarbrücken
E1 5
029
SWS Space 2 (6312)
passcode not visible
logged in users only
Maria-Louise Albrecht, 10/15/2019 14:16 -- Created document.