Utilizing multimodal sentiment analysis to eliminate climate change deniers and distribute educational materials over social media
Authors: Isaac Bahler 1 , Russell Frost 2 1 Faculty of Science, Dalhousie University, Halifax NS, Canada. 2 Faculty of Engineering, Lakehead University, Thunder Bay ON, Canada Abstract While extensive research using sentiment analysis has been conducted using the vast amounts of data generated by social media, little research has been conducted into how multi- modal analysis can be used to address climate change misinfor mation and learn demographic details regarding who is effected. The following article aims to amalgamate existing studies that detect climate change deniers along with effective online climate research delivery to combat the misinformation that exists in these select communities. By analysing what the response is to different initiatives the aim is more effectively support and educate those who have fallen prey to misinformation online and to limit its spread. Multi modal sentiment analysis is the ideal tool for conducting such a study as by using more than