Barbara Poblete
I'm a Computer Scientist researching how to use Data and AI (in particular machine learning) to understand human behavior and create useful tools for society. Over time, I have become a Data Scientist with many years of experience in the areas Online Social Networks Analysis, Web Mining and Information Retrieval.
Currently, I'm an Associate Professor at the Computer Science Department (DCC) of the University of Chile, and a Researcher at the Millenium Institute Foundational Research on Data (IMFD).
Formerly, I was a researcher at Yahoo! Labs.
I have a PhD in Informatics and Digital Communications from the Universitat Pompeu Fabra in Barcelona, Spain.
Contact: bpoblete[@]uchile.cl
Highlights:
Her research on the topic of "information credibility in social networks" (2010-2013), was the first on misinformation in social media (+3000 citations), and has appeared in SciAM, WSJ, Slate, The Huffington Post, BBC News and NPR.
She received a Google Latin America Research Award (PI) and two "Social Media and Democracy Research Grants" (co-investigator) from SSRR to study the effects of social media on elections.
She is co-founder of ChileWiC an ACM Celebration for Women in Computing Chapter in Chile
Projects:
Co-Director of the Project for Development of Robust Information Structures at IMFD, which studies fake-news, hate speech among other information disorders
Director of the Project for Mining Real-World Crisis Events from Social Media Data at the DCC, which leverages the use of online social networks for disaster emergency response.
Service:
Co-Chair for The Web Conference 2021 Track on Web Mining and Content Analysis,
Co-Chair for the SIGIR 2020-21 Doctoral Consortium and DEI Co-Chair for SIGIR.
Editorial board member of FnT IR and Online Social Networks and Media, as well as Senior PC member for the conferences SIGIR, KDD and WSDM, as well as PC member for many top-tier conferences
News
Keynote: OHARS Workshop @ RecSys 2020
Keynote: LXAI Workshop @ NeurIPS 2019
Selected Publications
This is a list of selected publications, for a full list visit my Google Scholar Profile or DBLP page.
Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete. "Fine-Grained Evaluation for Entity Linking ". In the Proceedings of the Conference on Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing (EMNLP–IJCNLP), Hong Kong, China, November 3–7, 2019.
A. Arango, J. Pérez, B. Poblete. Hate Speech is Not as Easy as You May Think: A Closer Look at Model Validation. In proceedings of 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. July 21-25, 2019 (Paris, France).
B. Poblete, J. Maldonado, J. Guzmán, F. Tobar: Robust Detection of Extreme Events Using Twitter: Worldwide Earthquake Monitoring. IEEE Transactions on Multimedia (available online in August 2018).
M. Mendoza, B. Poblete, I. Valderrama: Nowcasting earthquake damages with Twitter. EPJ Data Science. January 2019.
Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete. "VoxEL: A Benchmark Dataset for Multilingual Entity Linking ". In the Proceedings of the 17th International Semantic Web Conference (ISWC), Monterey, USA, October 8–12, 2018 (Resources track).
J. Herrera, D. Parra, B. Poblete: Learning to Leverage Microblog Information for QA Retrieval. In Proceedings of the 40th European Conference on Information Retrieval (ECIR 2018). March 26-19, 2018. Grenoble, France.
V. Peña-Araya; M. Quezada; B. Poblete; D. Parra: Gaining Historical and International Relations Insights from Social Media Spatio-Temporal Real-World News Analysis using Twitter. EPJ Data Science
Information Credibility on Twitter. C. Castillo, M. Mendoza, B. Poblete. Proceedings of the 20th International Conference on World Wide Web, 675-684.
Recent Webinars and Interviews
Cátedra Introducción al Manejo de Datos
U. La Serena
Webinar Transparencia de Datos del COVID19
Análisis de datos del Covid19 en Chile
Webinar Datos del Covid19