FEATURED AUTHOR

Turo Uskali

Senior Reserch Scholar/Head of Journalism program
University of Jyväskylä

I have been focusing on the interplay of innovations and journalism both in research and education since 2005. Currrently I'm heading the Journalism program at the Department of Language and Communication studies at the University of Jyväskylä, Finland. I'm also working as an Associate Professor II (20%) at the Department of Information Science and Media Studies at the University of Bergen, Norway. Previously I've worked as a visiting scholar at the Oxford and Stanford Universities.

Subjects: Mass Communications

Biography

Since being a visiting scholar at Stanford University (2006 - 2007), I've been interested in innovations and their implications especially in journalism and media industries. My scholarly work has included innovation journalism, data journalism, social media platforms influence in journalism, ubiquitous journalism (especially the use of smartwatches and smartphones in news) , and more recently, drone journalism and immersive journalism. All these studies have provided timely cases of how journalism adapts and adopts new technologies in storytelling. Furthermore, I've been developing also a news service that tries to gather and publish the results of global journalism research (http://journalismresearchnews.org/). All these ventures are based on team work.

Education

PhD, University of Jyväskylä, Finland

Areas of Research / Professional Expertise

Personal Interests

Websites

University of Jyväskylä

Books

Featured Title

Articles

Chances and Challenges of Computational Data Gathering and Analysis

Published: Oct 29, 2015 by Digital Journalism
Authors: Niina Sormanen, Jukka Rohila, Epp Lauk, Turo Uskali, Jukka Jouhki and Maija Penttinen
Subjects: Mass Communications

Digital and social media and large available data-sets generate various new possibilities and challenges for conducting research focused on perpetually developing online news ecosystems. This paper presents a novel computational technique for gathering and processing large quantities of data from Facebook. We demonstrate how to use this technique for detecting and analyzing issue-attention cycles and news flows in Facebook groups and pages.