I'm a Computer Scientist working in the fields of Data Science and AI to understand human behavior and create useful tools. I have many years of experience in the areas Online Social Networks Analysis, Web Mining and Information Retrieval.
I'm an Associate Professor at the Computer Science Department (DCC) of the University of Chile, Researcher at the Millenium Institute Foundational Research on Data (IMFD), co-PI at CENIA and a Visiting Academic at Amazon.
Formerly, I was a researcher at Yahoo! Labs.
Test of Time Award at The Web Conference 2021! With colleagues Carlos Castillo and Marcelo Mendoza we were awarded the IW3C2 Seoul ToT Award for our 2011 paper “Information credibility on Twitter” (read the press release)
Appointed as Visiting Academic at Amazon, in the Alexa Shopping research team (read the blogpost) (04/2021)
PC Co-Chair for SIGIR 2023 and Track Co-Chair for The Web Conference 2021
Our 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
Google Latin America Research Award (PI) 2019
Social Media and Democracy Research Grants (co-investigator) from SSRR to study the effects of social media on elections (2019)
Co-founder of ChileWiC an ACM Celebration for Women in Computing Chapter in Chile
Co-PI at CENIA where I co-lead the research line on Fairness in AI
(Past) Co-Director of the Project for Development of Robust Information Structures at IMFD, which studies fake-news, hate speech among other information disorders
(Past) 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.
PC Co-Chair for SIGIR 2023
Track 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, Associate Editor for ACM TWeb, as well as Senior PC member for the conferences TWC, SIGIR, KDD and WSDM, as well as PC member for many top-tier conferences.
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
(English) Mining social networks to learn about rumors, hate speech, bias and polarization
Participación en el Late de Datos e IA
Webinar Transparencia de Datos del COVID19
Consejo de la Transparencia
Webinar Datos del Covid19