Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks
The proliferation of malicious social bots poses severe threats to cybersecurity and social media information ecosystems. Existing detection methods often overlook the semantic value and emotional cues conveyed by emojis in user-generated tweets. To address this gap, we propose ESA-BotRGCN, an emoji...
Saved in:
Main Authors: | Kaqian Zeng, Zhao Li, Xiujuan Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/13/4179 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The “Slightly Smiling Face” Emoji in WeChat: A Conversation Analytic Investigation
by: Zhuolei Li
Published: (2025-07-01) -
The “Slightly Smiling Face” Emoji in WeChat: A Conversation Analytic Investigation
by: Zhuolei Li
Published: (2025-07-01) -
Recursive Sentiment Detection Algorithm for Russian Sentences
by: Anatoliy Y. Poletaev, et al.
Published: (2022-06-01) -
The Communicative Functions of Emojis: Evidence from Jordanian Arabic-Speaking Facebookers
by: Хаді Хамдан
Published: (2022-01-01) -
Comparison of EPC and BOT contracts in construction projects
by: Omid Jabbari
Published: (2020-11-01)