Eva Yulia Puspaningrum
Program Studi Informatika, Fakultas Ilmu Komputer Universitas Pembangunan Nasional “Veteran” Jawa Timur

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Journal : JUTI: Jurnal Ilmiah Teknologi Informasi

PROMOTER ACCOUNT DETECTION IN TWITTER Syidada, Shofiya; Azzahra, Noor Fitria; Puspaningrum, Eva Yulia
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 12, No 1, Januari 2014
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.427 KB) | DOI: 10.12962/j24068535.v12i1.a44

Abstract

Twitter is an online social network and micro-blog that becomes an alternative media for sharing and getting information. In the political area, Twitter provides various features as a media to promote campaign and get a good imaging for political party or contestant. In order to get a good opinion from other users, the contestant can manipulate their success with a massive promotion. This promotion activity could lead to public opinion that is not consistent with the facts. So that, we need to determine whether this is promoter account or not. In this paper, we propose a new framework for promoter account detection. This framework based on twitter content to detect promoter account according to their existence in topic of promotion. This framework employs k-means approach in order to cluster topic of promotion based on twitter’s content. From each cluster, we evaluate the existence of promoter account. With very simple approach, the results obtained on experiment show that this framework is effective for promoter account detection.