On Friday, September 20th, doctoral candidate Kiran Kumar Bandeli presented his ongoing research on computational narrative analysis on blogs and social media at the EIT Colloquium.  “Blogs in particular act as virtual spaces where narratives are framed. It is therefore important to study and understand the way information is said by the actors on social media platforms,” Bandeli explained. Narratives are organized, long-lasting themes and ideas that persist in discourses. It is challenging to extract narratives from social media, and even more so to interpret them. However, developing a more effective way to study these narratives carries great implications, paving the way for strategic communicationRead More →

Ph.D. student Kiran Kumar Bandeli has been invited to speak about “Computational Narrative Analysis on Blogs/Social Media.” The colloquium will be held in the Donaghey College of Engineering and Information Technology (EIT) Building, Room 217 at 3:00pm CST. You can attend in person or utilize the link below to view the presentation from any device with online access: https://us.bbcollab.com/guest/72ac95525d524120812cd25254122fbb Abstract of Talk: Social media is widely used to express views and share opinions with others. With the availability of inexpensive and ubiquitous mass communication tools like social media, creating narratives, false information and propaganda is both convenient and effective. Social media users leverage this platformRead More →

Each Friday, the Donaghey College of Engineering and Information Technology Colloquium provides a forum for the presentation of research followed by a question and answer session with the guest speaker(s). This past Friday, COSMOS researchers Adewale Obadimu and Thomas Marcoux discussed ‘Social Media Analysis for Defeating Disinformation’. Doctoral candidate Adewale Obadimu introduced the Collaboratorium for Social Media and Online Behavioral Studies to the audience in the room and online.  This particular Colloquium appeared to have had one of the highest online and in person attendances in sometime, with the interest of the topic driving participation. Adewale’s knowledge in machine learning and deep learning techniques hasRead More →