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Tel Aviv University (TAU)
The Department of Communication

 Contact details
Contact personDr. Elad Segev
Researcher and Lecturer 
Street39040, Ramat-Aviv 
Address 69978 - Tel Aviv (Israel) 
Phone972-528-252111 
EmailShow Email
Webhttp://eladsegev.com
 Organisation details
Employees (in Depart.)250+ 
Organisation TypeSecondary or higher education establishment 
 Research Focus

 Fields of activities:
» Cultural studies
» Political science
» Sociology
» Computer sciences
» Journalism, mass media and communication

 Brief description of your activity focus
Lecturer of new media specialized on internet research, search engines and online news analysis

 Details about Expertise / Competences / Technologies
Dr. Segev is a senior lecturer of new media at the Department of Communication, Tel Aviv University. He received his Ph.D. from the Research Institute for Law, Politics and Justice at Keele University in England, studying the biases of search engines and their social and political implications. He continued his studies of biases in online news in a postdoctoral appointment at the Hebrew University of Jerusalem. Segev publishes studies on the application of search engines, their uses and biases, online news biases in different languages, Americanization, cultural diversity, the digital divide, and new applications and methodologies to utilize data mining for social and communication research.
 Research Activities

 EU Framework Programme related activities:
» Demographic changes
» Societal trends and lifestyles
» Cultural interactions in an international perspective
» Interactions & interdependences between world regions
» Conflicts, peace and human rights
» Diversities and commonalities in Europe

 International and national projects beyond EU Framework Programme
Segev developed a data-mining application that gathers news items from popular news sites in 10 different languages, analyses, compares and presents their different biases, international networks and scope.

In 2010 he served as a visiting international researcher at the University of Lucerne. Funded by the Swiss National Foundation, he developed a sentiment analysis application that automativcally rates positive and negative news items.

See for example:

- Segev, E. and Miesch, R. (2011, in press). A systematic procedure for detecting news biases: The case of Israel in European news sites. International Journal of Communication, 5, 1-20.

- Segev, E. (2010). Mapping the International: Global and Local Salience and News-Links Between Countries in Popular News Sites Worldwide. International Journal of Internet Science, 5(1): 48-71.

- Segev, E. & Blondheim, M. (2010). The Footprint of the Palestinian-Israeli Conflict in Online World News: The Puzzle of Salience. Dynamics of Asymmetric Conflict, 3(2), 72–85.

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    2009-08-10 / 2012-06-07

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