Mor Naaman

About

I am an assistant professor at the Rutgers School of Communication and Information, in the department of Library and Information Science, where I run the Social Media Information Lab. Before coming to Rutgers I spent some time at Yahoo! Research Berkeley, and at Stanford.

My research focuses on social information and social media, with excursions to mobile and multimedia applications: what can we learn from the activity of people on social media services about the world, about society, and about people?

more…

Travel

RSS

News

15 Feb 2012. My work on finding Twitter sources for events w/ @ndiakopoulos, @munmun10 featured on Mashable: http://t.co/UrpYPpRp

09 Jan 2012. Belated thanks to Yahoo! for a Research Engagement Award, and overall support for data science at Rutgers SC&I! http://t.co/4j6xY70a

more…
RSS

Publications

Kai Su, Mor Naaman, Avadhut Gurjar, Mohsin Patel, and Dan Ellis. Making a Scene: Alignment of Complete Sets of Clips based on Pairwise Audio Match. In Proceedings, ICMR 2012, June 2012.

Mor Naaman, Amy Zhang, Samuel Brody, and Gilad Lotan. On the Study of Diurnal Urban Routines on Twitter. In Proceedings, ICWSM 2012, June 2012.

Nicholas Diakopoulos, Munmun De Choudhury, and Mor Naaman. Finding and Assessing Social Media Information Sources in the Context of Journalism. In Proceedings, CHI 2012, May 2012.

Hila Becker, Dan Iter, Mor Naaman and Luis Gravano. Identifying Content for Planned Events Across Social Media Sites. In Proceedings, WSDM 2012, February 2012.

Munmun De Choudhury, Nicholas Diakopoulos, and Mor Naaman. Unfolding the Event Landscape on Twitter: Classification and Exploration of User Categories. In Proceedings, CSCW 2012, February 2012.

Jessa Lingel, Aaron Trammell, Joe Sanchez, and Mor Naaman. Practices of information and secrecy in a punk rock subculture. In Proceedings, CSCW 2012, February 2012.

more…
RSS

Blog

20 Dec 2011. Cheer Up! Some Holiday Hacking

With my star undergrads Ian and Abe, and backend support from Ziad, we put together this mashup for the holidays! We use the data from the Twitter streaming crawler we built (for our NSF-funded work) to get Instagram photos posted on Twitter that have the word Christmas in the tweet, and where the photo location [...]

more…