Accepted: 25-07-2022 | Received in revised: 25-08-2022 | Published: 31-08-2022 663 Accredited Ranking SINTA 2 Decree of the Director-General of Higher Education, Research, and Technology, No. 158/E/KPT/2021 Validity period from Volume 5 Number 2 of 2021 to Volume 10 Number 1 of 2026 Published online on: http://jurnal.iaii.or.id JURNAL RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol. 6 No. 4 (2022) 663 - 669 ISSN Media Electronic: 2580-0760 Buzzer Detection on Indonesian Twitter using SVM and Account Property Feature Extension Yuliant Sibaroni 1 , Sri Suryani Prasetiyowati 2 1,2 School of Computing, Telkom University 1 yuliant@telkomuniversity.ac.id, 2 srisuryani@telkomuniversity.ac.id Abstract The rapid use of Twitter social media in recent times has an impact on the faster dissemination of disinformation which is very dangerous to followers. Detection of disinformation is very important to do and can be done manually by conducting in-depth information analysis. But given the huge amount of information, this approach is less effective. Another, more effective approach is to use a machine learning-based approach. Several studies on hoax information detection based on machine learning have been carried out where some studies analyze the content of a tweet and some others analyze hashtags which are the context of a tweet. The feature usually used to analyze hashtag sentiment data is the property feature of the creator's account. The creator accounts of disinformation are called buzzer accounts. This research proposes account property feature expansion of buzzer accounts combined with the SVM classifier which in several previous similar studies has a very good performance to detect the buzzer hashtag. The experimental results show that expanding the proposed feature can increase SVM's performance in detecting hashtag buzzers by more than 24% compared to using the baseline feature, and the average F1 score obtained from the combination of methods is 84%. Keywords: Twitter, account, hoax, buzzer, SVM 1. Introduction The internet is currently growing rapidly in Indonesia where data shown by [1] shows that in January 2021 around 170 million people in Indonesia have accessed the internet and social media applications. Social media applications are one of the most effective media in disseminating information widely. In 2020, the 5 most used social media in Indonesia are Youtube, Whatsapp, Facebook, Instagram, and Twitter [2]. At the beginning of the presence of modern online social media such as Facebook (2004), Twitter (2006), Instagram (2010), and other social media, issues related to hoax information in social media have not become an important issue. But at this time, when the internet is growing rapidly and most people already have personal social media, the issue of handling hoax information on social media is very important. Studies on fake news and hoax information on various social media platforms have become a research topic that has attracted many researchers to date, as was conducted by [3] on Facebook, [4] on Instagram, and also by [5] on Twitter. Studies using social media data are mostly done on Twitter social media, this is due to the ease of crawling research data on Twitter in general, it is easier for the public to do than crawling other social media data. Another reason is that the level of hoax information on Twitter is higher than on other social media. Research conducted by [6] shows that from 2015-2018 the trend of fake news sites on Twitter showed an increasing trend, while Facebook showed a declining trend even though it had an upward trend at the beginning of that period. The emergence of fake news and hoax information is generally caused by the presence of a buzzer and also fake accounts or robots that are intended to produce invalid information. At first, the term buzzer came from the marketing field, namely buzz marketing or a technique of marketing goods or services to generate business by moving information by word of mouth [7]. In online social media, a buzzer was originally defined as a social media account whose job is to disseminate, campaign, and broadcast a message or content to amplify a message so that the content becomes public opinion [8]. But in recent times, the term buzzer has shifted to a social media account that has a large number of followers and participates in political campaigns by spreading various hoax news and hate speech to the opposing party