Matthew Weber is an associate professor of Communication, and co-director of Rutgers’ NetSCI Network Science lab. Weber's research examines organizational change and adaptation in response to new information communication technology, with specific programs of research focused on the transformation of news media and broader information ecosystems. His work is funded by a number of external agencies, including the National Science Foundation and the William T. Grant Foundation.
University of Southern California
University of Southern California
M.S., Journalism and Media Management
B.S., Industrial Engineering and Economics
Matthew Weber’s research examines organizational change in relation to the use of new information communication technologies. He examines organizations from both an internal and external perspective, focusing on the interaction between macro- and micro-level changes. The majority of his work focuses on the transformation of the news media industry in the United States, including an analysis of local newspaper ecosystems. Additional research focuses on technology use in large multinational organizations, and work on social movements.
Weber utilizes mixed methods in his work, including social network analysis, archival research, and interviews. He is developing new methodology for using large-scale big data for tracing organizational processes. His research has led to the development of a series of tools that enable researchers to access data made available by the Internet Archive.
Weber’s work is supported by funding from the National Science Foundation, the Institute for Museum and Library Services, the William T. Grant Foundation, Democracy Fund, and the Social Sciences and Humanities Research Council.
- Online Communities
- Networked Forms of Organizing
- Network Science
- Computational Social Science
- Communication Technology
- Global Journalism Trends
- Data Science
- Organizational Change
- Organizational Communication
- Social Media
- Social Media and Society
- Social Networks
Centers, Labs, and Clusters
Weber, M. S. (PI) (2017). 2017 Web Archiving Data Workshops. National Science Foundation. (#1723430). $24,113.National Science Foundation, 2016 Web Archiving Data Workshops: Travel Support for U.S. Students. PI ($29,883) 2016
Tow Center for Digital Journalism, Digital Journalism and the Challenges of Managing a 21st Century Newsroom Workforce. Co-PI with A. Kosterich ($19,689) 2016-2018
Local News Ecosystems. Democracy Fund. Co-PI with P. Napoli ($300,000) 2016-2018
William T. Grant Foundation, Tracking Policymakers' Acquisition and Use of Research Evidence Regarding Childhood Obesity in the News Media. Co-PI with I. Yanovitzky ($457,862) 2016-2018
Institute of Museum and Library Services, Systems Interoperability and Collaborative Development for Web Archiving. Co-PI with J. Bailey, T. Cramer, N. Taylor, V. Reich, D. S.H. Rosenthal, and M. Phillips ($353,221) 2016-2018
Social Sciences and Humanities Research Council, Unlock your Web Archives Hackathon. Co-PI with I. Milligan and J. Lin ($23,715) 2015-2016
National Science Foundation, BCC-SBE Collaborative Research: Utilizing Archival Resources to Conduct Data-Intensive Internet Research (with David Lazer, Northeastern University and Kris Carpenter, Internet Archive). PI, ($251,405) 2012-2016
This research focuses on understanding the ongoing transformation of news media organizations in response to the emergence of new digital technology. Foundational work in this area emphasized use of hyperlink and other forms of web-based technology to enable transformation through the formation of alliances and the exchange on information between organizations. More recently, Weber has expanded this body of work to focus on the professionalization of new jobs roles in news media, as well as the integration of computational skills into modern newsrooms.
Computational Journalism and Local News
Weber's work on computational journalism and local news is a multilevel, multiyear study focused on examining the intertwining evolution of computational journalism and local news organizations. First, with funding from the Democracy Fund, he is working in collaboration with colleagues at Duke University to conduct a US-wide analysis of shifts in local news coverage. The survey examines a sample of 100 communities, and looks at the type and depth of coverage. Second, his research team is conducting in-depth research looking at a subset of the 100 communities to examine the process by which newsrooms in those communities are developing news apps and other computationally based endeavors.
NSF Internet Archive – ArchiveHub
With funding from the National Science Foundation, the goal of the Archive Hub project is to help grow and support an emerging community of scholars working with large scale digital trace data. There are a number of components to this work. First and foremost, this work has focused on community support through a series of workshops held around the world (Boston, Toronto, DC, San Francisco and London), bringing together interested scholars to discuss technical challenges and theoretical questions. In addition, the workshops have focused on educating graduate students about approaches to large scale digital trace data analysis.
Weber, M. S., Ogyanova, K., & Kosterich, A. (In Press). Imitation in the quest to adapt: Lessons from news media on the early Web. International Journal of Communication.
Weber, M. S. & Kosterich, A. (2017). Coding the News: The Role of Computer Code in Filtering and Distributing News. Digital Journalism.
Weber, M. S. (2017). Unseen disruptions and the emergence of new organizations. Communication Theory. 27. 92-113. doi: 10.1111/comt.12105
Weber, M. S., Fulk, J., & Monge, P. (2016). The Emergence and Evolution of Social Networking Sites as an Organizational Form. Management Communication Quarterly. Advance online publication. doi: 10.1177/0893318916629547
Weber, M. S., & Monge, P., (2011). The Flow of Digital News in a Network of Sources, Authorities, and Hubs. Journal of Communication, 61, 1062-1081. doi: 10.1111/j.1460- 2466.2011.01596.x
Awards & Recognitions
Top Faculty Paper (1st Place), Association for Education in Journalism and Mass Communication, Media Management, Economics & Entrepreneurship, 2017
Article of the Year, International Journal of Business Communication, 2016
Annual Research Award, Department of Communication, Rutgers University, 2014
Top Paper Finalist, Web Science, 2012
Redding Dissertation Award, Dissertation of the Year, 2012
Top Paper, Organizational Communication Division, International Communication Association, 2011
Finalist, Dissertation of the Year, Industry Studies Association, 2010