Ebrahim Bagheri



Canada Research Chair in Social Information Retrieval

Tier 2 - 2016-01-01
Renewed: 2021-01-01
Ryerson University
Natural Sciences and Engineering Research Council

416-979-5000 ext./poste 7953
bagheri@ryerson.ca

Research involves


Developing data analytics software methodologies and platforms to analyze large amounts of data made available through user-generated content and scientific and industrial entities.

Research relevance


Equipping data scientists and engineers with cutting-edge techniques for building self-adaptive and auto-scaling applications that can manage volume, velocity, veracity and variety of big data.

Research summary


False, inaccurate or misleading information is called “misinformation”—and it is becoming more common in our society. Dr. Ebrahim Bagheri, Canada Research Chair in Social Information Retrieval, is trying to address the challenges posed by misinformation while contributing to the field of social information retrieval.

He and his research team are working to model misinformation and identify causal relationships between real-world events and misinformation in online platforms. They are also retrieving factual information that counters misinformation and selectively presenting it to improve uptake. From a more theoretical perspective, they are developing techniques to model topically focused text collections to measure semantic association and causal relations, and retrieving content by considering aspects of coverage, trust, persuasion and discord.