Attentional DoS: Repeat Reposting, Collective Attention, and Information Diffusion on X

πŸ“… 2026-09-28
πŸ“ˆ Citations: 0
✨ Influential: 0
πŸ“„ PDF
πŸ€– AI Summary
This study addresses how repetitive retweeting on social media monopolizes collective attention and distorts information diffusion. Focusing on the X platform, this work innovatively proposes the concept of β€œAttention Denial-of-Service (Attention DoS)” and employs an integrated methodology combining large-scale cascade analysis, sequence modeling, lexical matching, and temporal synchronization detection. The results reveal that repetitive retweeting exhibits characteristics of distributed, synchronized amplification, primarily reinforcing reach among existing audiences rather than competing for new traffic. Furthermore, such behavior is strongly associated with Chinese-language commercial spam. By elucidating the propagation dynamics underlying malicious attention manipulation, this research offers a novel perspective and empirical evidence to inform governance strategies for social media platforms.
πŸ“ Abstract
Collective attention is a finite shared resource, and social media posts compete for limited opportunities to be seen. On X, users can undo a repost and repost it again. By repeating this cycle, a user can put the same post back into followers'timelines any number of times without making new content. We call this procedure repeat reposting, and we read it as placing repeated demand on this shared resource (Attentional DoS). We formalize this idea and explore repeat reposting in a large-scale dataset of cascades with at least 1,000 reactions, originating from posts classified as Japanese on X, covering April 2025 to March 2026. Repeat reposts are rare, appearing in a small share of all (user, post) pairs. Even so, close to a million posts have at least one repeater, and most repeats come from a small group of habitual accounts. The central result is that subsequent audience growth is associated less with the number of repeats than with the estimated reach of the repeating accounts. Through the lens of seriality, how habitually the same groups of accounts repeat reposts across many posts, a distinct distributed form emerges: several serial amplifiers converge on the same post (Attentional DDoS). Its synchrony, how closely their actions are timed together, forms a continuum from bursts on the scale of minutes to a daily clock. A check of the content of 99.7% of amplified posts shows that most ADDoS repeat events are directed at Chinese-script content, which our vocabulary matching and sample inspection indicate is predominantly commercial spam. Repeat reposting thus lets a post re-enter the competition for visibility. The observed pattern is better characterized as repeated temporal coverage of an existing audience and the self-reinforcement of posts that are already growing, rather than as evidence that repeat reposting takes reach from other content.
Problem

Research questions and friction points this paper is trying to address.

Collective attention
Information diffusion
Repeat reposting
Attentional DoS
Social media
Innovation

Methods, ideas, or system contributions that make the work stand out.

Attentional DoS
Repeat Reposting
Information Diffusion
Collective Attention
Distributed Amplification
πŸ”Ž Similar Papers
No similar papers found.
G
Genta Toya
Institute of Science Tokyo, Tokyo, Japan
B
Bruno T. Sugano
Institute of Science Tokyo, Tokyo, Japan
K
Kei Ichikawa
Institute of Science Tokyo, Tokyo, Japan
Q
Qianyun Wu
Hirosaki University, Hirosaki, Japan; Institute of Science Tokyo, Tokyo, Japan
S
Shuhei Saigusa
Institute of Science Tokyo, Tokyo, Japan
Y
Yasuhiro Hashimoto
University of Aizu, Aizuwakamatsu, Japan
Masashi Toyoda
Masashi Toyoda
Institute of Industrial Science, The University of Tokyo
WebSocial MediaIoTVisualizationUser Interface
Naoki Yoshinaga
Naoki Yoshinaga
Institute of Industrial Science, The University of Tokyo
natural language processingcomputational linguisticsmachine learning
K
Kazutoshi Sasahara
Institute of Science Tokyo, Tokyo, Japan