التفاصيل البيبلوغرافية
| العنوان: |
MEWS: Real-time Social Media Manipulation Detection and Analysis |
| المؤلفون: |
Ford, Trenton W., Theisen, William, Yankoski, Michael, Henry, Tom, Khashman, Farah, Dearstyne, Katherine R., Weninger, Tim |
| سنة النشر: |
2022 |
| المجموعة: |
Computer Science |
| مصطلحات موضوعية: |
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computers and Society |
| الوصف: |
This article presents a beta-version of MEWS (Misinformation Early Warning System). It describes the various aspects of the ingestion, manipulation detection, and graphing algorithms employed to determine--in near real-time--the relationships between social media images as they emerge and spread on social media platforms. By combining these various technologies into a single processing pipeline, MEWS can identify manipulated media items as they arise and identify when these particular items begin trending on individual social media platforms or even across multiple platforms. The emergence of a novel manipulation followed by rapid diffusion of the manipulated content suggests a disinformation campaign. |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2205.05783 |
| رقم الانضمام: |
edsarx.2205.05783 |
| قاعدة البيانات: |
arXiv |