During crisis periods such as outbreaks, wars and uprisings, opinion divergence and misinformation tend to largely increase causing an epidemic of fear and a trouble in decision making. By the information age, these phenomena are reflected in social media such as Facebook and Twitter where people dynamically show their thoughts and beliefs on a daily basis. In this discussion, we will try to show how the recent advances in machine learning, data analytics and natural language processing can be used to identify the social thoughts of a given society about a particular topic and consequently to guide sociopolitical decisions through the recommendation of several actions or of several research publications to fight misinformation and make the general opinion more reasonable and efficient.
We are working on developing research publications for our research project. The opinions that will be received during this discussion session will be useful to trim and adjust our social media-based method for fighting misinformation online.
How will you deal with varying numbers of participants in your session?:If a limited number of attendees will participate to the discussion session, we have a list of FAQs that we can use to enrich the presentation and make it more interesting for the people who will see the video recording after the conference.
If an important number of attendees will participate, we will leave ten minutes after each part of the presentation for question answering. This will give 20 minutes of presentations then 10 minutes of question answering and then 20 minutes of presentation and finally 10 minutes of question answering.
Houcemeddine Turki is a Medical Student at the Faculty of Medicine, University of Sfax, Tunisia and a researcher in Data Engineering and Semantics Research Team, University of Sfax, Tunisia.
Mohamed is an Assistant Professor of Computer Science at the Faculty of Sciences, University of Sfax and a researcher in Data Engineering and Semantics Research Unit, University of Sfax, Tunisia.
Ben Aouicha is an Associate Professor of Computer Science at the Faculty of Sciences, University of Sfax and a researcher in Data Engineering and Semantics Research Unit, University of Sfax
Hiba is currently Ph.D. Student at Faculty of Economics and Management of Sfax, University of Sfax, Tunisia. Her research interests include Semantic Web, Big Data and Social Media.
Amina Amara is Ph.D. Student in Computer Systems Engineering at the University of Sfax. Her fields of interest are Information Diffusion, Social Media and Big Data.