computational journalism

Computational Journalism

Who will drive the world?


Computational journalism

the application of computation

to the activities of journalism such as information

gathering, organization, sensemaking,communication

and dissemination

upholding values of journalism such as fairness,

accuracy, and objectivity.


How do you define WIKILEAKS?How do you define WIKILEAKS?


� In sheer volume it is more than all information

gathered by all reporters/new agencies

worldwideworldwide

� If a analytical toll is added to it and made

available to the media the impact would be

phenomenal


The field draws on technical aspects of computer

science including artificial intelligence, contentscience including artificial intelligence, content

analysis (NLP, vision, audition), visualization,

personalization and recommender systems as well as

aspects of social computing and information science


The field emerged at the Georgia Institute of

Technology in 2006 where a course in the subject

was taught in 2007 and 2008.

In February of 2008 Georgia Tech hostedIn February of 2008 Georgia Tech hosted

a Symposium on Computation and Journalism which

convened several hundred computing researchers

and journalists in Atlanta, GA.

In July of 2009, The Center for Advanced Study in the

Behavioral Sciences (CASBS) at Stanford University

hosted a workshop to push the field forward.


Public and private databases are expanding exponentially

Synergy between journalists/software developers/ computer scientists/other scholars

Large amount of structured/unstructured for their stories

Watchdog Journalism

Overview


Four areas for potential advances in CJ

� Techniques of data transformation and pattern discovery

� Digital Dashboard for journalists� Digital Dashboard for journalists

� New watchdog roles for readers as well as reporters

� Narratives and spillovers from cutting edge research in areas such as Homeland Security, Digital Humanities and Medical Research

Accountability through Algorithm

Extraction Integration Visualisation

Journalists Dashboard

Interaction

among readers

and reporters

Sensemaking

advances in

other

disciplinines


Data in the Data in Structured

Data in the physical mode

Data in digital mode

Structured data


Various tool to Information,

Can run search engines

Various tool to be used of

specific requirements

Information, ready for use for reporting

Data Mining

Data mining is the process of extracting patterns from data.

Data mining is seen as an increasingly important tool by modern business to transform data into an informational advantage.advantage.

It is currently used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery.

Complex investigative stories need data mining tools for a proper analysis of data and conclusions based on it.

Challenges

• Need for a consensus on the nature of structured data

• Open source developers can help translate tools

developed in other fields into reporting algorithms

• Low cost data mining toolsLow cost data mining tools

• Creation of a standard software for journalists

• Capacity Building for journalists

• Change Management

• Readers Role

Challenges

The development of computational journalism

can be speeded up by the transformation ofcan be speeded up by the transformation of

products already developed into tools that

can be used by journalists.

Conclusion

For a wiser audience...we require a wiser journalist…

For a wiser journalist…we require a wiser technology…For a wiser journalist…we require a wiser technology…

The roadmap of the future journalism would be more

factual, investigative, analytical and real time reporting

with the right blend of technology.

THANK YOUTHANK YOU