Harsh Taneja

Harsh Taneja

2015-2016 Reynolds Fellow

  University fellow
  Reynolds Journalism Institute
  Columbia, Missouri


Contact

Email: .(JavaScript must be enabled to view this email address)
Telephone: 573-884-7463

Account Details

Member ID: 622

Group Title: Content providers

Join Date: June 13, 2015

Activity

Last Visit: December 31, 1969

Last Activity: December 31, 1969

Total Entries: 1

Technical

Timezone: UM6

Downloads

You haven't downloaded anything yet!

About Harsh Taneja

Harsh Taneja is an assistant professor at the Missouri School of Journalism and a 2015-2016 RJI Fellow. He studies audience behavior and its implications for media institutions.This program of research and teaching draws on his interdisciplinary training in the Media, Technology and Society program at Northwestern as well as his professional experience doing audience research in global advertising and media corporations such as BBC and the Publicis Group. At Missouri, Taneja teaches courses in theories of mass media as well as research methods. Taneja’s research addresses 1) how audiences take shape in a fragmented digital media environment and 2) how audience fragmentation impacts commercial audience measurement practices. Theoretically, he contributes to the larger debate on the role of structure and agency in media choice. Practically, these theories translate into strategies for audience measurement and media planning. Methodologically, Taneja’s research projects involve quantitative analysis of data from Nielsen and comScore. In other studies, he qualitatively analyzes stories published in the media trade press and interviews industry professionals.

Harsh Taneja, an assistant professor of strategic communications at the Missouri School of Journalism, will conduct research on the role of news websites in people’s online lives.


Stories about Harsh Taneja

Harsh Taneja's fellowship project

Harsh Taneja, an assistant professor of strategic communications at the Missouri School of Journalism, will conduct research using social network analysis on the role of news websites in people’s online lives. This “user behavior analysis” will focus on the makeup of the clusters of online destinations that people regularly visit. Are news sites a central part of this routine? Can these clusters give us helpful information about how non-news sites can help improve metrics on news sites?