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The Relevance of Informationand Computer Systems #1

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Walter Lima Jr

on 22 August 2013

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Transcript of The Relevance of Informationand Computer Systems #1

Recommendation Systems that Establish New Forms of Representational Reality: Eliminating the Dividing Line Between Information Emitter and Receptor of Journalistic Information
Ph.D Walter Teixeira Lima Junior
Cásper Líbero Foundation - Brazil
Presentation funded by
New Orleans University - July 12, 2011
Centralized Media
Transmission broadcasting system
Gatekeeping
Choosing the content depends on calibrating
the content to meet the desired response
Hierarchy
Homogenous Content
"the filters of reality"
Internet
Letters-to-the-editor (newspapers and magazines)
Telephone (responding to radio or television)
Fax
Precludes any interaction
between the emitter and the audience
Standard Model of Professsional Journalism
Low feedback
Decentralized Media
Network communications
Multidirectional exchange of data
New Media Platforms
Altered model of relationship between audience and information
Social Machines
Recommendation Systems
Aggregators
Search Engines
These systems collect information on the behavior of individual, including contributions and references provided by other people
News
Reddit
Digg
Amazon
Google
Users discover new information,
allowing them to automatically
share or recommend the news
that they find interesting
Recommendation Systems
RS are characterized by the cross-fertilization
of various research fields
Information Retrieval, Artificial Intelligence,
Knowledge Representation, Discovery and
Data/Text Mining, Computational Learning, and
Intelligent and Adaptive Agents. RS is necessary
for catering the varied needs and contexts of users,
and the different platforms they use
General Information
Commercial Information
Relevant Social Information
Algorithms
Allows
Automatic Process
Create
Sharing
Commentary
Evaluation
Classification
Recommendation
Dissemination
Evaluation
Classification
Recommendation
Dissemination
Allows
Colaboration
Computer-mediated Communication
Human being
New ecosystem information
The Relevance of Information
and Computer Systems
Constructing "reality"
Two categories of relevance are
interacting on the web’s ecosystem

Same platform
Systems
Humans
An ecosystem based on algorithms and
that evolves through greater "transparency".
Big problem
Users find it difficult to differentiate
between information produced and
edited by human beings, and those
― treated by relevance systems.
Only users involved in programming
and systems manage to distinguish
between them.
Intentional
Systems are designed primarily
to respond to information that
is potentially relevant to people
Relevance has been around forever,
or as long as humans have been communicating
and using information effectively
Basis
Credibility
Built
Credibility is built over time and
has as its basis social relevance.
Analog Media is based on information scarcity
Thanks
digital@walterlima.jor.br
Full transcript