Homecare Education Advocacy & Resource Team Support
It is difficult to understand the effectiveness of various treatment options when a huge number of external factors such as lifestyle, diet, and environment affect the burden of a disease. A major barrier to understanding is the challenge of scale—sampling enough patients to separate the major, minor, and negligible factors. With access to a database of more than one trillion public social…
Microblogging services like Twitter are becoming an important part of how many people manage information in their day to day activities. As microblog traffic increases (Twitter currently sees about 50 million tweets per day) information management and organization will become keen problems in this area. The project will define the core problems in microblog search and propose solutions to…
How can we use user-generated content to construct, infer or refine network data? We have been tackling this problem by leveraging communication content produced and disseminated in social networks to enhance graph data. For example, we have used domain-adjusted sentiment analysis to label graphs with valence values in order to enable triadic balance assessment. The resulting method enables…
Assistant Professor Jana Diesner a received an Faculty Fellowship and seed funding for her project, “Predictive Modeling for Impact Assessment,” from the National Center for Supercomputing Applications (NCSA). Diesner collaborates closely with NCSA scientists on the project, which builds on her work developing computational solutions…
Associate Professor Jingrui He and Arun Reddy Nelakurthi, senior engineer in machine learning research at Samsung Research America, have coauthored a new guide to user behavior modeling. Their book, Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective, was recently published by CRC Press.
PhD student Shadi Rezapour will present her research with the Diesner lab at the 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2019), which will be held November 9-13 in Austin, Texas. CSCW brings together experts from industry and academia to explore the technical, social, material, and theoretical challenges of designing technology to support collaborative work and life activities.
Doctoral candidate Shubhanshu Mishra successfully defended his dissertation, "Information Extraction from Digital Social Trace Data with Applications to Social Media and Scholarly Communication Data," on June 24.
Master's student Sharon Han has been selected as the winner of the 2019 Student Writing Award sponsored by Ex Libris Group and the Library and Information Technology Association (LITA) for her paper titled "Weathering the Twitter Storm: Early Uses of Social Media as a Disaster Response Tool for Public Libraries During Hurricane Sandy."
The identification of proper names of people, organizations, and locations from raw texts, referred to as Named Entity Recognition (NER), can be highly accurate when researchers use NER tools on a large collection of text with proper syntax. However, using existing NER tools for analyzing social media text can lead to poor identification of named entities. TwitterNER, an open-source tool developed by doctoral student Shubhanshu Mishra, who is supervised by Assistant Professor Jana Diesner, can help researchers interested in performing NER on social media text.
Doctoral student Shubhanshu Mishra will present his research at the 29th ACM Conference on Hypertext and Social Media, which will be held July 9-12 in Baltimore, Maryland. The conference will focus on the role of links, linking, hypertext, and hyperlink theory on the web and beyond.
Assistant Professor Jana Diesner is the program co-chair of the 3rd International Workshop on Social Sensing (SocialSens 2018). The workshop will be held on April 17 in Orlando, in conjunction with the ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI 2018).
The 2014 Ebola virus epidemic that originated in West Africa and spread to other parts of the globe was the deadliest Ebola outbreak in history. During this period, a frightened public turned to social media and internet search engines for information and to share news of the outbreak. According to a team of international researchers, including iSchool Research Scientist Ian Brooks, understanding the social media activity around a health crisis, like the 2014 Ebola outbreak, can help health organizations improve their communication strategies and prevent misinformation and panic.
The Center for Children’s Books will host the 2016 Gryphon Lecture on Friday, March 11. The annual lecture, which is free and open to campus and the public, features a leading scholar in the field of youth and literature, media, and culture. Denise Agosto, GSLIS research fellow and professor in Drexel University’s College of Computing & Informatics, will deliver this year’s lecture