Houcemeddine Turki, Hiba Sebei, Amina Amara, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha
Data Engineering and Semantics Research Unit, University of Sfax, Tunisia
We have been honoured during the Mozilla Festival 2021 to represent the University of Sfax, Tunisia and show our research project about constructing and using knowledge resources, particularly knowledge graphs and ontologies, to drive social media analysis and make it trustworthy, mainly in the context of crisis management of large disasters. This work has been supported by the Ministry of Higher Education and Scientific Research in Tunisia (MoHESR) in the framework of Federated Research Project PRFCOV19-D1-P1.
Abstract
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.
Time
07:15 PM --> 08:15 PM
CET (UTC+1)
March 10, 2021