Portrait of Emre Kiciman

Emre Kiciman

Senior Researcher

About

I am a senior researcher at Microsoft Research in the CLUES group.

I’m broadly interested in using social data to help people find what they want and need; and to this end my work drives towards the goal of extracting from social media useful models of how people behave in the world — people’s actions in the world, people’s interactions with each other, and the consequences of people’s decisions. There are three questions I’m addressing with my research:

Foundations and infrastructure for better social media analysis: I’m building tools and frameworks to make it easier and faster for people to deeply analyze and explore social media.
Connecting social media to the real-world: To interpret social media, I work on entity linking and study the systematic biases inherent in social media’s reflection of the world.
Social systems engineering: I’m studying how the affordances and incentives provided by social systems affect the kinds of information we find in social media.

My previous research interests include JavaScript application monitoring and optimization, as well as improving the reliability of Internet services architectures and operations. I received my Ph.D. and my M.S. from Stanford University, and my B.S. in Electrical Engineering and Computer Science from U.C. Berkeley.

Projects

DSoAP – Distributed Social Analytics Platform

Established: June 1, 2015

The Distributed Social Analytics Platform (DSoAP) project is focused on the “Huge Data” problem in social policy research caused by the breadth of data involved. Using aggregate social media data to investigate and validate social issues such as employment, health…

Discussion Graph Tool

Established: April 25, 2014

DGT (Discussion Graph Tool) is an easy-to-use analysis tool that provides a domain-specific language extracting co-occurrence relationships from social media and automates the tasks of tracking the context of relationships and other best practices. DGT provides a single-machine implementation, and…

Online and social media data as a flawed continuous panel survey

Established: April 9, 2014

If search and Twitter data are to be treated as a survey, they would follow a very peculiar methodology: participation is a time-varying, demographically biased sample of the population, participants are effectively continuously answering different “survey” questions, and, finally, participants…

Doloto

Established: February 7, 2008

Doloto stands for Download Time Optimizer and is also the Russian word for chisel.    

Publications

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Social Computing Link description

Social Computing

Date

May 22, 2014

Speakers

Barbara Poblete, Emre Kiciman, and Fernando Diaz

Affiliation

University of Chile, Microsoft

Other

 Activities: