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PROMOTER ACCOUNT DETECTION IN TWITTER

JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 12 No. 1 (2014) · pp. 35–39

DOI
10.12962/j24068535.v12i1.a44
ISSN
2406-8535, 1412-6389
Published
2014-01-01
Publisher
Institut Teknologi Sepuluh Nopember
Language
eng

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.

Collaboration network of the authors

12 authors · 21 co-authorship links · 2 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Wijaya Kusuma Surabaya
  • Universitas Handayani Makassar
  • University of Pembangunan Nasional Veteran Jawa Timur
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Abdul Latief ArdaUniversitas Handayani Makassar1
Muh. Fauzan SaidUniversitas Handayani Makassar1
Syamsu AlamUniversitas Handayani Makassar1
Noven Indra PrasetyaUniversitas Wijaya Kusuma Surabaya1
Lestari RetnawatiUniversitas Wijaya Kusuma Surabaya1
Nia SaurinaUniversitas Wijaya Kusuma Surabaya1
Teguh Pribadi IkhsanUniversitas Wijaya Kusuma Surabaya1
Firman Hadi Sukma PratamaUniversitas Wijaya Kusuma Surabaya1
Budi Sulistiyo NugrohoUniversity of Pembangunan Nasional Veteran Jawa Timur1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://juti.if.its.ac.id/index.php/juti/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">PROMOTER ACCOUNT DETECTION IN TWITTER</dc:title>
	<dc:creator xml:lang="en">Syidada, Shofiya</dc:creator>
	<dc:creator xml:lang="en">Azzahra, Noor Fitria</dc:creator>
	<dc:creator xml:lang="en">Puspaningrum, Eva Yulia</dc:creator>
	<dc:description xml:lang="en"> 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.</dc:description>
	<dc:publisher xml:lang="en">Institut Teknologi Sepuluh Nopember</dc:publisher>
	<dc:date>2014-01-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://juti.if.its.ac.id/index.php/juti/article/view/44</dc:identifier>
	<dc:identifier>10.12962/j24068535.v12i1.a44</dc:identifier>
	<dc:source xml:lang="en">JUTI: Jurnal Ilmiah Teknologi Informasi; Vol 12, No 1, Januari 2014; 35-39</dc:source>
	<dc:source>2406-8535</dc:source>
	<dc:source>1412-6389</dc:source>
	<dc:source>10.12962/j24068535.v12i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://juti.if.its.ac.id/index.php/juti/article/view/44/43</dc:relation>
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