Journal article
Primary and Secondary Social Media Source Identification
05 May 2021
Abstract
Social networks like Facebook and WhatsApp have enabled users to share images
with other users around the world. Along with this has come the rapid spread of
misinformation. One step towards verifying the authenticity of an image is
understanding its origin, including it distribution history through social
media. In this paper, we present a method for tracing the posting history of an
image across different social networks. To do this, we propose a two-stage
deep-learning-based approach, which takes advantage of cascaded fingerprints in
images left by social networks during uploading. Our proposed system is not
reliant upon metadata or similar easily falsifiable information. Through a
series of experiments, we show that we are able to outperform existing social
media source identification algorithms. and identify chains of social networks
up to length two with over over 84% accuracy.
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Details
- Title
- Primary and Secondary Social Media Source Identification
- Creators
- Brian C HoslerMatthew C Stamm
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Identifiers
- 991019295181504721