TY - GEN
T1 - Deep Learning on Spam Detection
AU - Fu, Youran
AU - Zhang, Yu
N1 - Publisher Copyright:
© VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.
PY - 2022
Y1 - 2022
N2 - With the development of the network, people's online social activities become more and more frequent, and the number of spams becomes more and more. Spam on social software such as twitter and Facebook will spread some false information and false news to people. It will even spread fraud information to defraud users' property and even create panic in the city. Therefore, social spam detection has attracted extensive attention in recent years and gradually become a research hotspot. With the continuous development of deep learning in recent years, some researchers began to apply deep neural network to tasks. Although great progress has been made in the research work around social spam detection, but there is very little review on this task, and there is a lack of a comprehensive combing of the development of social spam detection in recent years. Therefore, we give an overview of social spam detection, introduce the methods used by social spam detection to improve task performance in recent years, and analyze the potential problems in the task.
AB - With the development of the network, people's online social activities become more and more frequent, and the number of spams becomes more and more. Spam on social software such as twitter and Facebook will spread some false information and false news to people. It will even spread fraud information to defraud users' property and even create panic in the city. Therefore, social spam detection has attracted extensive attention in recent years and gradually become a research hotspot. With the continuous development of deep learning in recent years, some researchers began to apply deep neural network to tasks. Although great progress has been made in the research work around social spam detection, but there is very little review on this task, and there is a lack of a comprehensive combing of the development of social spam detection in recent years. Therefore, we give an overview of social spam detection, introduce the methods used by social spam detection to improve task performance in recent years, and analyze the potential problems in the task.
UR - http://www.scopus.com/inward/record.url?scp=85166379890&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85166379890
T3 - CAIBDA 2022 - 2nd International Conference on Artificial Intelligence, Big Data and Algorithms
SP - 711
EP - 718
BT - CAIBDA 2022 - 2nd International Conference on Artificial Intelligence, Big Data and Algorithms
A2 - Salem, Abdel-Badeeh Mohamed
PB - VDE VERLAG GMBH
T2 - 2022 2nd International Conference on Artificial Intelligence, Big Data and Algorithms, CAIBDA 2022
Y2 - 17 June 2022 through 19 June 2022
ER -