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Databases of information agencies for journalists and analysts. (Analytical characterization)

https://doi.org/10.33186/1027-3689-2018-10-44-56

Abstract

Using databases simplifies significantly the preparation of journalistic and analytical materials and complements online information search and verification practice. Introducing databases into everyday work of the mass-media results in the rise of the “data-driven journalism”.

The authors analyze in brief the most popular foreign and Russian databases being maintained by news agencies (Bloomberg, Dow Jones Risk and Compliance, Interfax, ITAR-TASS) and by other information services (LexisNexis, Integrum, Kartoteka, Factiva, Dun & Bradstreet). Their history is discussed; they are defined by types and classified according to their content and access method (open/closed). In several cases, the database management system specifications are provided. Scenarios for use are given for journalists and analysts, for the latter the practical use is exemplified.

Based on the classification they are suggesting, the authors compares the pros and drawbacks in using databases by news agencies (closed information systems) and Internet-based information retrieval systems (open systems) in journalism and analytics.

About the Authors

N. A. Pomerantseva
M. Lomonosov Moscow State University
Russian Federation

Nadezhda Pomerantseva, Doctorant, Chair for New Media and Communication Theory, Journalism Department

1-9, Mokhovaya st., 125009 Moscow



L. L. Delitsyn
Moscow State Institute of Culture; M. Lomonosov Moscow State University
Russian Federation
Leonid Delitsyn, Dr. Sc. (Engineering), Professor, Chair of Culture Informatization and E-libraries, Moscow State Institute of Culture, Associate Professor, Chair for New Media and Communication Theory, M. Lomonosov Moscow State University

7, Bibliotechnaya st., 141406 Moscow region, Khimki



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Review

For citations:


Pomerantseva N.A., Delitsyn L.L. Databases of information agencies for journalists and analysts. (Analytical characterization). Scientific and Technical Libraries. 2018;(10):44-56. (In Russ.) https://doi.org/10.33186/1027-3689-2018-10-44-56

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ISSN 1027-3689 (Print)
ISSN 2686-8601 (Online)