36 citations · 37 across the 7 of their papers we have counts for
7 papers
From Detection to Characterization: A Large-Scale Study of Ragebait on Japanese X
Zhiyang Qi, Kazuhiro Ito, Jinghui Chen +5
Ragebait refers to online content intentionally designed to provoke anger or outrage and thereby increase attention and engagement. However, reliable large-scale detection and syst…
Network-distance decay of perceived online social support
Masanori Takano, Kenji Yokotani, Masaki Chujyo +1
Perceived social support can buffer stress, but how it is associated across online social networks at different graph distances remains unclear. Here we show that inferred perceive…
An attention economy model of co-evolution between content quality and audience selectivity
Masaki Chujyo, Isamu Okada, Hitoshi Yamamoto +2
Human attention has become a scarce and strategically contested resource in digital environments. Content providers increasingly engage in excessive competition for visibility, oft…
Impact of seed node position on network robustness under localized attacks
Masaki Chujyo, Shu Liu, Fujio Toriumi
Localized attacks (LAs), where damage propagates from a single seed node to its neighbors, pose significant threats to the robustness of complex networks. Although previous studies…
Temporal Shifts and Causal Interactions of Emotions in Social and Mass Media: A Case Study of the "Reiwa Rice Riot" in Japan
Erina Murata, Masaki Chujyo, Fujio Toriumi
In Japan, severe rice shortages in 2024 sparked widespread public controversy across both news media and social platforms, culminating in what has been termed the "Reiwa Rice Riot.…
Optimal Network Robustness Against Attacks in Varying Degree Distributions
Masaki Chujyo, Yukio Hayashi, Takehisa Hasegawa
In varying degree distributions, we investigate the optimally robust networks against targeted attacks to nodes with higher degrees. In considering that a network tends to have mor…
A loop enhancement strategy for network robustness
Masaki Chujyo, Yukio Hayashi
Many real systems are extremely vulnerable against attacks, since they are scale-free networks as commonly existing topological structure in them. Thus, in order to improve the rob…