Gender-Based Analysis of User Reactions to Facebook Posts  

作　　者：Yassine El Moudene Jaafar Idrais Rida El Abassi Abderrahim Sabour 

机构地区：[1]Mathematical Engineering and Computer Science Laboratory,Faculty of Sciences,Ibn Zohr University,Agadir 8706,Morocco [2]Department of Computer Science Mathematical−High School of Technology,Ibn Zohr University,Agadir 8706,Morocco

出　　处：《Big Data Mining and Analytics》2024年第1期75-86,共12页大数据挖掘与分析（英文）

摘　　要：Online Social Networks(OSNs)are based on the sharing of different types of information and on various interactions(comments,reactions,and sharing).One of these important actions is the emotional reaction to the content.The diversity of reaction types available on Facebook(namely FB)enables users to express their feelings,and its traceability creates and enriches the users’emotional identity in the virtual world.This paper is based on the analysis of 119875012 FB reactions(Like,Love,Haha,Wow,Sad,Angry,Thankful,and Pride)made at multiple levels(publications,comments,and sub-comments)to study and classify the users’emotional behavior,visualize the distribution of different types of reactions,and analyze the gender impact on emotion generation.All of these can be achieved by addressing these research questions:who reacts the most?Which emotion is the most expressed?

关 键 词：PROFILING knowledge extraction data mining emotion mining social media data crawling Facebook reactions GENDER 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]