Human papillomavirus (HPV) is the most common sexually transmitted infection in the U.S., with over 34,000 new HPV-related cancers diagnosed annually, according to the Centers for Disease Control and Prevention. An HPV vaccine, which was approved by the Food and Drug Administration (FDA) in 2006, is recommended as part of routine vaccinations for school-aged children. However, the vaccine's…
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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…
Research conducted by Assistant Professor Jessie Chin's Adaptive Cognition and Interaction Design Lab (ACTION) provided the foundation for an article recently published in the high-impact Journal of Medical Internet Research. PhD student Tre Tomaszewski is the first author on the peer-reviewed article, "Identifying False Human Papillomavirus (HPV) Vaccine Information and Corresponding Risk Perceptions from Twitter: Advanced Predictive Models."
The iSchool at Illinois is part of a multidisciplinary research team that has been awarded $750,000 to develop digital literacy tools to curb the deleterious effects of online disinformation. The grant is from the National Science Foundation's Convergence Accelerator, a program launched in 2019 that builds upon basic research and discovery to accelerate solutions toward societal impact. The research team, led by the University of Buffalo (UB), includes experts in artificial intelligence, the humanities, information science and other fields. In addition to Illinois and UB, partners include Clemson University, Lehigh University, and Northeastern University.
In the event of a natural disaster like Hurricane Ida, artificial intelligence (AI) may be used to assess damage, using imagery reports to identify the severity of flooded areas. Using AI in disaster scene assessment has its limitations, however, and input from the people affected is needed, in order to get a better picture. A new project being led by Associate Professor Dong Wang will explore the power of human intelligence to address the failures of existing AI schemes in disaster damage assessment applications and boost the performance of the system. Wang has received a three-year, $499,786 National Science Foundation (NSF) Human-Centered Computing (HCC) grant for his new project, "DeepCrowd: A Crowd-assisted Deep Learning-based Disaster Scene Assessment System with Active Human-AI Interactions."
iSchool faculty and students will present their research at the ACM Conference on Human Factors in Computing Systems (CHI 2021), which will be held virtually from May 8-13. The conference, considered the most prestigious in the field of Human-Computer Interaction, attracts researchers and practitioners from around the globe. The theme for CHI 2021 is "Making Waves, Combining Strengths."
Associate Professor Jana Diesner and her students have organized two tutorials for The Web Conference 2021. The conference, which will be held virtually from April 12-23, will address the evolution and current state of the Web through the lens of computer science, computational social science, economics, public policy, and Web-based applications.
iSchool researchers will present their work at The Web Conference 2021. The conference, which will be held virtually from April 12-23, will address the evolution and current state of the Web through the lens of computer science, computational social science, economics, public policy, and Web-based applications.
The iSchool is pleased to announce that Dong Wang will join the faculty as an associate professor in August 2021. He is currently an associate professor in the Computer Science and Engineering Department at the University of Notre Dame.
Members of Associate Professor and PhD Program Director Jana Diesner's Social Computing Lab will present a tutorial, paper, and posters at the 6th Annual International Conference on Computational Social Science (IC2S2), which will be held virtually from July 17-20. The conference brings together academic researchers, industry experts, open data activists, and government agency workers to explore challenges, methods, and research questions in the field of computational social science.
iSchool PhD student Natã Barbosa and his advisor Associate Professor Yang Wang have received a $65,053 grant from Facebook for their project, "In-Situ Privacy Controls of Profiling and Ad-Targeting." The goal of the project is to design a privacy control framework that makes profiling and ad-targeting more transparent to ordinary Internet users.
Ian Brooks, iSchool research scientist and director of the Center for Health Informatics, and Sebastian Garcia Saiso, director of the Department of Evidence and Intelligence for Action in Health for the Pan American Health Organization (PAHO), presented their preliminary social media analytics research on COVID-19 at the World Health Organization (WHO).
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.