{"type":"ScholarlyArticle","title":"InterSpot: Interactive Spammer Detection in Social Media","authors":[{"name":"Kaize Ding","slug":"kaize-ding","given":"Kaize","family":"Ding","affiliation":"Arizona State University , Tempe , AZ 85281 , USA"},{"name":"Jundong Li","slug":"jundong-li","given":"Jundong","family":"Li","affiliation":"Arizona State University , Tempe , AZ 85281 , USA"},{"name":"Shivam Dhar","slug":"shivam-dhar","given":"Shivam","family":"Dhar","affiliation":"Arizona State University , Tempe , AZ 85281 , USA"},{"name":"Shreyash Devan","slug":"shreyash-devan","given":"Shreyash","family":"Devan","affiliation":"Arizona State University , Tempe , AZ 85281 , USA"},{"name":"Huan Liu","slug":"huan-liu","given":"Huan","family":"Liu","affiliation":"Arizona State University , Tempe , AZ 85281 , USA"}],"abstract":"Spammer detection in social media has recently received increasing attention due to the rocketing growth of user-generated data. Despite the empirical success of existing systems, spammers may continuously evolve over time to impersonate normal users while new types of spammers may also emerge to combat with the current detection system, leading to the fact that a built system will gradually lose its efficacy in spotting spammers. To address this issue, grounded on the contextual bandit model, we present a novel system for conducting interactive spammer detection. We demonstrate our system by showcasing the interactive learning process, which allows the detection model to keep optimizing its detection strategy through incorporating the feedback information from human experts.","doi":"10.24963/ijcai.2019/939","url":"https://ijcai.org/proceedings/2019/939","pdf":"https://ijcai.org/proceedings/2019/0939.pdf","markdown":"https://ijcai.org/proceedings/2019/939.md","bibtex":"https://ijcai.org/proceedings/2019/bibtex/939","volume":{"slug":"2019","title":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2019","url":"https://ijcai.org/proceedings/2019/","year":2019,"location":"Macao","dates":"10-16 August 2019","editors":"Sarit Kraus","isbn":"978-0-9992411-4-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2019"},"section":"Demos","track":"Demos","number":939,"pages":{"first":6509,"last":6511},"keywords":["AI: Machine Learning","Applications: Public services and social systems","AI: AI Modelling and Simulation","AI: Human-Computer Interactive Systems"],"videos":[],"references":[{"position":1,"raw":"[Benevenuto et al., 2010] Fabricio Benevenuto, Gabriel Magno, Tiago Rodrigues, and Virgilio Almeida. 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