Document Details

Document Type : Thesis 
Document Title :
: Structures of Retweets Manipulation on Twitter: Case Study of Trending Topics in Saudi Arabia
أنماط التلاعب في إعادة التغريد على تويتر: دراسة حالة للمواضيع الشائعة في المملكة العربية السعودية
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Online social media has become an exploited environment due to manipulation by users. Twitter network functions are especially characterized by being open, which allows anyone can follow anyone without the need to approve social connection on public Twitter. Retweeting on Twitter is a feature often exploited by groups of malicious retweeters. It has become obvious that a significant number of users take advantage by manipulating the retweeting feature in order to market their promotional content in local trending topics. This study highlights those groups to study their behavior and try to discover patterns that can reveal retweet manipulation. By applying graph theory, retweeting activity was represented as a network graph. Multiple algorithms of communities’ detection were implemented to extract these groups with high accuracy from the network. In addition, some features were extracted to identify these groups. The experiment was performed on real-life events that were reflected on Twitter. This study’s data includes retweets of 238,231 users over 46,123 tweets. 2,263 malicious retweeters were extracted from this dataset to form 254 groups. Analysis of the graph structure of these groups showed some distinctive retweeting behavior which helped in identifying those groups. A supervised model was trained to detect those groups which achieved 94% accuracy. This approach was applied on historical dataset and may be extended to cover realtime datasets to allow quicker detection of malicious retweeter groups. 
Supervisor : Dr. Rayed Alghamdi 
Thesis Type : Master Thesis 
Publishing Year : 1442 AH
2021 AD 
Co-Supervisor : Dr. Nabeel Albishry 
Added Date : Wednesday, August 18, 2021 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
مروة أحمد جواسJawas, Marwah AhmedResearcherMaster 

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