Related Experiment Video
Updated: Nov 10, 2025
08:53
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
5.4K
Understanding Malicious Accounts in Online Political Discussions: A Multilayer Network Approach.
Nhut-Lam Nguyen1, Ming-Hung Wang1, Yu-Chen Dai1
1Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
This study identifies influential malicious accounts manipulating political discussions online. Network analysis of Taiwan
Area of Science:
- Computer Science
- Social Science
- Political Science
Background:
- Social media platforms are key for political communication and opinion manipulation.
- Identifying malicious accounts is crucial for online transparency and fair elections.
- Political entities use online accounts to influence public opinion and promote agendas.
Purpose of the Study:
- To detect influential, human-operated malicious accounts manipulating political discourse.
- To analyze the behavior of these accounts within online political discussions.
- To enhance transparency in online political communication.
Main Methods:
- Collected election data and malicious account information from a Taiwan discussion forum (2018-2020).
- Modeled the discussion network as a multilayer network.
- Applied network-based analysis, including centrality and community detection, across network layers.
Main Results:
- Successfully identified several influential malicious accounts.
- Discovered prominent communities with distinct behavioral patterns.
- Demonstrated the effectiveness of multilayer network analysis in detecting manipulation.
Conclusions:
- The proposed network-based method effectively identifies malicious actors in online political discussions.
- Multilayer network analysis provides deeper insights into account influence and behavior.
- Findings contribute to improving the integrity of online political discourse.
Related Concept Videos
01:01Group Polarization
37.2K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
37.2K
01:29Dark Triad and Person Perception
87
Person perception is influenced by both external behaviors and the observer’s internal characteristics, including personality traits. Individuals with dark personality traits, comprising psychopathy, Machiavellianism, and narcissism — collectively known as the dark triad – exhibit manipulative and exploitative tendencies in social contexts. These traits affect how they perceive others and how they are perceived.The Role of Dark Personality Traits in Person PerceptionBlack et...
87
01:14Understanding Deception
65
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
65
01:30Social Foundations of Self IV: Self in Digital Communication
68
Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
68
01:26Social Exchange Theory
122
As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...
122
02:06Social Exchange Theory
37.8K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
37.8K