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 to assess the impact of issue-focused information projects such as social justice documentaries and books. Her research team leverages big social data for this purpose and combines techniques from machine learning and natural language processing to identify a fine-grained set of impact factors from textual data sources such as news articles, reviews, and social media. This project aims to locate...
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National Center for Supercomputing Applications
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 fast and systematic sign detection, eliminates the need for surveys or manual link labeling, and reduces issues with leveraging user-generated (meta)-data.
IN THE NEWS
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.
Their paper, "Fear on the networks: analyzing the 2014 Ebola outbreak," was published in December in Pan American Journal of Public Health (41, 2017). In addition to Brooks, researchers included lead author Marcelo D’Agostino (Department of Communicable Diseases and...
Hear from teen researchers who co-develop a survey focused on teen social media use. We'll discuss the research process, their findings, and future directions.
Questions? Contact rmmagee [at] illinois.edu (Rachel Magee)
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, "The True Story of Teens, Social Media, and Libraries: Using Teen-Centered Research to Break Down Pervasive Stereotypes.” Agosto’s research interests include youth information behaviors, public libraries, multicultural issues in youth library services, and qualitative research methods. She...
Assistant Professor Jana Diesner spoke at the ninth International Conference on Web and Social Media (ICWSM) on May 27. Hosted annually by the Association for the Advancement of Artificial Intelligence, ICWSM addresses themes in social and computational sciences related to human social behavior on the web. The 2015 conference was held May 26-29 at the University of Oxford.
Diesner presented research conducted in collaboration with informatics doctoral student Craig Evans and GSLIS doctoral student Jinseok Kim in a talk titled, “Impact of Entity Disambiguation Errors on Social Network Properties.”
Several GSLIS affiliates presented this week at HASTAC 2015, the annual conference of the Humanities, Arts, Sciences, and Technology Alliance and Collaboratory. Held at Michigan State University May 28-29, HASTAC 2015 featured presentations relating to the theme, "Art and Science of Digital Humanities."
GSLIS postdoctoral research associate Sayan Bhattacharyya presented an interactive session titled, "Workshop on Text Analytics with the HathiTrust Research Center: An Introduction to Tools for Working with Digitized Text and Metadata."
From the abstract: This workshop is intended for a broad audience ranging from curious graduate students exploring digital humanities to the experienced text mining researcher. The workshop will provide a hands-on introduction to the HathiTrust Digital Libraru collection and its...
Professor Michael Twidale and doctoral candidate Aiko Takazawa spoke on May 14 at the Workshop on Social and Collaborative Information Seeking hosted by the Center for Discrete Mathematics & Theoretical Computer Science at Rutgers University. The workshop brought together multidisciplinary scholars, including innovators in social and collaborative information seeking, with the goal of defining research challenges in the field.
Twidale presented a talk titled, “Searching for Help: How Learning Technologies Involves Collaborative Search.”
Abstract: As computational and informational resources become ever more abundant, we see changes in the way people learn how to use them, adopt, adapt, appropriate, tinker, tailor, combine. and modify them. Examples include software developers who search as they code, and data scientists going online to get ideas for how best to clean,...