An Empirical Study of Photo Naming Conventions across Popular Social Media Platforms

被引：0
|
作者：
Tran, Anh-Duy [1 ]
Le, Dinh-Hai [2 ]
Dao, Thien-Phu [2 ]
Tran, Minh-Triet [2 ]
Dang-Nguyen, Duc-Tien [3 ]
机构：
[1] Katholieke Univ Leuven, DistriNet, Leuven, Belgium
[2] Univ Sci Ho Chi Minh City Vietnam Natl Univ, Ho Chi Minh City, Vietnam
[3] Univ Bergen, Bergen, Norway
来源：
PROCEEDINGS OF THE 1ST WORKSHOP ON SECURITY-CENTRIC STRATEGIES FOR COMBATING INFORMATION DISORDER, SCID 2024 | 2024年
关键词：
Photo Naming Conventions; Image Forensics; Social Media Analysis;
D O I：
10.1145/3660512.3665520
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Metadata analysis is a crucial aspect of image forensics, but what happens when all information about an image, including its metadata, is lost? In such situations, it is important to explore alternative methods for image analysis. Our research has discovered that the filenames of uploaded images on social media platforms can provide valuable information. Building upon this observation, our study investigates the naming conventions and image source tracing of three popular online platforms: Facebook, Twitter, and Flickr. In addition, we identify the origin of uploaded images and extract other valuable information from the filenames. Finally, we construct a dataset consisting of 497,368 image filenames from Facebook, 13,703 image filenames with metadata from Twitter, and 1.6 million pairs of Flickr IDs with their respective posted dates.
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页数：8
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