4.6 Article

Social Bots and Their Coordination During Online Campaigns: A Survey

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSS.2021.3103515

Keywords

Social networking (online); Blogs; Botnet; Task analysis; Rocks; Bot (Internet); Voting; Bot detection; coordination; online social networks (OSNs); social bots; social media; social network analysis (SNA)

Funding

  1. U.S. National Science Foundation [OIA-1946391, OIA-1920920, IIS-1636933, ACI-1429160, IIS-1110868]
  2. U.S. Office of Naval Research [N00014-10-1-0091, N00014-14-1-0489, N00014-15-P-1187, N00014-16-12016, N00014-16-1-2412, N00014-17-1-2675, N0001417-1-2605, N68335-19-C-0359, N00014-19-1-2336, N68335-20-C-0540, N00014-21-1-2121]
  3. U.S. Air Force Research Laboratory
  4. U.S. Army Research Office [W911NF-20-1-0262, W911NF-16-1-0189]
  5. U.S. Defense Advanced Research Projects Agency [W31P4Q17-C-0059]
  6. Arkansas Research Alliance
  7. Jerry L. Maulden/Entergy Endowment at the University of Arkansas at Little Rock
  8. Australian Department of Defense Strategic Policy Grants Program (SPGP) [2020-106-094]

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Online social networks (OSNs) have become a crucial aspect of societal digitalization, altering communication, decision-making, and beliefs, with impacts on social groups, financial systems, and political communication. Social media platforms are home to social bots, which mimic human social behaviors and automate sociotechnical actions.
Online social networks (OSNs) are a major component of societal digitalization. OSNs alter how people communicate, make decisions, and form or change their beliefs, attitudes, and behaviors. Thus, they can now impact social groups, financial systems, and political communication at scale. As one type of OSN, social media platforms, such as Facebook, Twitter, and YouTube, serve as outlets for users to convey information to an audience as broad or targeted as the user desires. Over the years, these social media platforms have been infected with automated accounts, or bots, that are capable of hijacking conversations, influencing other users, and manipulating content dissemination. Although benign bots exist to facilitate legitimate activities, we focus on bots designed to perform malicious acts through social media platforms. Bots that mimic the social behaviors of humans are referred to as social bots. Social bots help automate sociotechnical behaviors, such as ``liking'' tweets, tweeting/retweeting a message, following users, and coordinating with or even competing against other bots. Some advanced social bots exhibit highly sophisticated traits of coordination and communication with complex organizational structures. This article presents a detailed survey of social bots, their types and behaviors, and how they impact social media, identification algorithms, and their coordination strategies in OSNs. The survey also discusses coordination in areas such as biological systems, interorganizational networks, and coordination games. Existing research extensively studied bot detection, but bot coordination is still emerging and requires more in-depth analysis. The survey covers existing techniques and open research issues on the analysis of social bots, their behaviors, and how social network theories can be leveraged to assess coordination during online campaigns.

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