The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Multidimensional Mappings of Political Accounts for Malicious Political Socialbot Identification: Exploring Social Networks, Geographies, and Strategic Messaging
Abstract
Malicious political socialbots used to sway public opinion regarding the U.S. government and its functions have been identified as part of a larger information warfare effort by the Russian government. This work asks what is knowable from a web-based sleuthing approach regarding the following four factors: 1) the ability to identify malicious political socialbot accounts based on their ego neighborhoods at 1, 1.5, and 2 degrees; 2) the ability to identify malicious political socialbot accounts based on the claimed and linked geographical locations of their accounts, their ego neighborhoods, and their #hashtag networks; 3) the ability to identify malicious political socialbot accounts based on their strategic messaging (content, sentiment, and language structures) on respective social media platforms; and 4) the ability to identify and describe “maliciousness” in malicious political socialbot accounts based on observable behaviors on that account on three social media platform types: (a) microblogging, (b) social networking, and (c) crowd-sourced encyclopedia content sharing.
Related Content
|
Dina Darwish.
© 2025.
14 pages.
|
|
P. Selvakumar.
© 2025.
24 pages.
|
|
P. Selvakumar, S. Geetha, N. Kaya, Pankaj Singh Chandel, Prateek Srivastava.
© 2025.
24 pages.
|
|
Muhammad Younus, Achmad Nurmandi, Dyah Mutiarin, Andi Luhur Prianto, Halimah Abdul Manaf, Ririn Harini, Muntahanah Muntahanah, Sri Ekowati, Titi Darmi, Wulan Angraini.
© 2025.
24 pages.
|
|
Kutubuddin Sayyad Liyakat Kazi.
© 2025.
34 pages.
|
|
Ankita Chaturvedi, Neha Yadav, M. Gnanendra, A. V. Senthil Kumar.
© 2025.
22 pages.
|
|
Mihrali Köseliören, Bünyamin Ayhan.
© 2025.
18 pages.
|
|
|