Computational Journalism

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Computational Journalism Bangalore , Oct 2009

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<ul><li>1.Computational Journalism Who will drive the world? </li></ul> <p>2. Computational Journalism 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. 3. Computational Journalism How do you define WIKILEAKS?How do you define WIKILEAKS? 4. Computational Journalism 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 5. Computational Journalism 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 6. Computational Journalism 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. 7. Computational Journalism 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 8. Overview 9. Computational Journalism Four areas for potential advances in CJ Techniques of data transformation and pattern discovery Digital Dashboard for journalistsDigital 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 10. Accountability through Algorithm Extraction Integration Visualisation Journalists Dashboard Interaction among readers and reporters Sensemaking advances in other disciplinines 11. Computational Journalism 12. Computational Journalism Data in the Data in Structured Data in the physical mode Data in digital mode Structured data 13. Computational Journalism Various tool to Information, Can run search engines Various tool to be used of specific requirements Information, ready for use for reporting 14. 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. 15. 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 16. 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. 17. Conclusion For a wiser audience...we require a wiser journalist For a wiser journalistwe require a wiser technologyFor a wiser journalistwe 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. 18. THANK YOUTHANK YOU </p>

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