Category: Natural Language Processing

IEEE Women in Engineering Talk Well Received

On 23 January 2018 Victoria Rubin was invited to speak to a group of engineering students and researchers. The talk was about creating more morally-savvy natural language processing technologies, for instance, those that could potentially weed out misinformation and disinformation in online news. Rubin noticed 3 alarming trends in online environments: proliferation of misinformation and Read More …

Team Talk at the FIMS Seminar Series

Strategies That Sell: Revealing Deceptive and Misleading Practices in Digital Media Wednesday, March 7, 2018 @12:00 p.m. – 1:30 p.m. in FNB 4070 Presented by Victoria Rubin, Yimin Chen, Sarah Cornwell, Toluwase Asubiaro and Chris Brogly Abstract In this team-talk FIMS LiT.RL lab researchers will discuss manipulative components of digital news, from seemingly harmless to Read More …

Keynote Speech at the Information Without Borders Conference 2018

On February 13, 2018 Dr. Rubin presented at the Information Without Borders Conference. The working title of her talk is The Disinformation Triangle: The Epidemiology of “Fake News”. Draft Abstract: “In 2018 the spread of misinformation and intentionally deceptive information in digital news and social media platforms reached unprecedented volumes. In addition to unintentional inaccuracies Read More …

Talk at IEEE Women in Engineering: Algorithms with a Moral Compass

Come join the London sections of IEEE Women in Engineering, IEEE Computer Society, and IEEE Young Professionals for “Algorithms with a Moral Compass: Detecting Lies, Satire, and Clickbait” with Victoria Rubin, Associate Professor at the Faculty of Information & Media Studies and Director of Language & Information Technology Research Lab, Western University. When: Tuesday, Jan. Read More …

FIMS Graduate Research Day

On April 14, 2016 our lab presented a poster at the FIMS Research Day. The work is based on the project that aims to identify fake news. Satirical news, if mistaken for legitimate reporting, often pose a problem by misleading readers. A full paper associated with this poster is stored in ResearchGate repository. The paper Read More …