Presentation 2024-01-18
[Invited Talk] Malicious social bot detection on social networks based on graph signal processing
Satoshi Furutani,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Social media have been deeply blended into our lives as a major platform to gather information, disseminate information, and interact with people. However, some malicious users systematically operate a large number of bot accounts to conduct various malicious activities such as spreading spam and false information, threatening our safe and healthy use of social media. There are many studies on detecting malicious social bots, among which approaches based on the relationships (graph structure) between users in social networks are promising. However, most of these detection methods have only been experimentally compared and evaluated in terms of their performance and noise robustness, and thus theoretical understanding is still lacking. In this talk, I will present the author's previous work on a unified interpretation of existing representative graph-based malicious social bot detection methods within the framework of low-pass filtering of graph signal processing.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) social networks / social bot detection / graph signal processing
Paper # IN2023-55
Date of Issue 2024-01-11 (IN)

Conference Information
Committee IN
Conference Date 2024/1/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kunio Hato(NTT)
Vice Chair Tsutomu Murase(Nagoya Univ.)
Secretary Tsutomu Murase(NTT)
Assistant

Paper Information
Registration To Technical Committee on Information Networks
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Malicious social bot detection on social networks based on graph signal processing
Sub Title (in English)
Keyword(1) social networks
Keyword(2) social bot detection
Keyword(3) graph signal processing
1st Author's Name Satoshi Furutani
1st Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
Date 2024-01-18
Paper # IN2023-55
Volume (vol) vol.123
Number (no) IN-342
Page pp.pp.35-39(IN),
#Pages 5
Date of Issue 2024-01-11 (IN)