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MSc Thesis Proposal Announcement by Priyanshi Shah:"Multimodal fake news detection using a Cultural Algorithm with situational and normative knowledge"

Tuesday, February 25, 2020 - 13:00 to 14:00

SCHOOL OF COMPUTER SCIENCE

The School of Computer Science is pleased to present…

MSc Thesis Proposal by:  Priyanshi Shah

Date: Tuesday February 25, 2020
Time: 1:00 pm – 2:00 pm 
Location: Lambton Tower, 3105

Abstract:  

The proliferation of fake news on social media sites is a serious problem with documented negative impacts on individuals and organizations. A fake news item is usually created by manipulating photos, text, or videos that indicate the need for multimodal detection. Researchers are building detection algorithms with the aim for high accuracy as this will have a massive impact on the prevailing social and political issues. A shortcoming of existing strategies for identifying fake news is their inability to learn a feature representation of multimodal (textual + visual) information. In this paper, we present a novel approach using a Cultural Algorithm with situational and normative knowledge to detect fake news using both text and images. An extensive set of experiments is carried out on real world multimedia datasets collected from Weibo and Twitter. The proposed method outperforms the state-of-the-art methods for identifying fake news in terms of accuracy by 9% on average.

Thesis Committee: 

Internal Reader: Dr. Sherif Saad
External Reader: Dr. Mohammed Fazle Baki
Advisor: Dr. Ziad Kobti

MSc Thesis Proposal Announcement

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