Detecting Alter Ego Accounts using Social Media Mining
Dublin Core
Title
Detecting Alter Ego Accounts using Social Media Mining
Subject
alter ego; social media mining; twitter; preprocessing data; cosine similarity
Description
Alter ego is a condition of someone who creates a new character with a conscious state. Original character role
play is a game to create new imaginary characters that is used as research material for identification alter ego
accounts. The negative effects of playing alter ego are stress, depression, and multiple personalities. Current
research only focuses on the phenomenon and impacts of a role-playing game. We propose a new method to detect
accounts of alter ego players in social media, especially Twitter. We develop an application to analyze the
characteristics of alter ego accounts. Psychologists can use this application to discover the characteristics of alter
ego accounts that are useful for analyzing personality so that the results can be used to appropriately handle alter
ego players. Most user profiles, tweets, and platforms are used to detect account Twitter. This research proposes
a new method using bio features as input data. We crawled and collected 565 bios from Twitter for one month.
We observe the data to search for unique words and collect them into a classification dictionary. In this research,
we use the cosine similarity method because this method is popular for detecting text and has a good performance
in many cases. This research could identify alter ego accounts and other types of Twitter accounts. From the
detection results of alter ego accounts, it is possible to analyze the characteristics of Twitter accounts. We use a
sampling technique that takes 30% of the data as testing data. According to the results of the experiment cosine
similarity obtained an accuracy of 0.95
play is a game to create new imaginary characters that is used as research material for identification alter ego
accounts. The negative effects of playing alter ego are stress, depression, and multiple personalities. Current
research only focuses on the phenomenon and impacts of a role-playing game. We propose a new method to detect
accounts of alter ego players in social media, especially Twitter. We develop an application to analyze the
characteristics of alter ego accounts. Psychologists can use this application to discover the characteristics of alter
ego accounts that are useful for analyzing personality so that the results can be used to appropriately handle alter
ego players. Most user profiles, tweets, and platforms are used to detect account Twitter. This research proposes
a new method using bio features as input data. We crawled and collected 565 bios from Twitter for one month.
We observe the data to search for unique words and collect them into a classification dictionary. In this research,
we use the cosine similarity method because this method is popular for detecting text and has a good performance
in many cases. This research could identify alter ego accounts and other types of Twitter accounts. From the
detection results of alter ego accounts, it is possible to analyze the characteristics of Twitter accounts. We use a
sampling technique that takes 30% of the data as testing data. According to the results of the experiment cosine
similarity obtained an accuracy of 0.95
Creator
Deyana Kusuma Wardani, Iwan Syarif, Tessy Badriyah
Source
http://jurnal.iaii.or.id
Publisher
Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association
Date
June 2026
Contributor
Sri Wahyuni
Rights
ISSN Media Electronic: 2580-0760
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Deyana Kusuma Wardani, Iwan Syarif, Tessy Badriyah, “Detecting Alter Ego Accounts using Social Media Mining,” Repository Horizon University Indonesia, accessed January 11, 2026, https://repository.horizon.ac.id/items/show/9973.