Identification of Social-Media Platform of Videos through the Use of Shared Features

by   Luca Maiano, et al.
Sapienza University of Rome

Videos have become a powerful tool for spreading illegal content such as military propaganda, revenge porn, or bullying through social networks. To counter these illegal activities, it has become essential to try new methods to verify the origin of videos from these platforms. However, collecting datasets large enough to train neural networks for this task has become difficult because of the privacy regulations that have been enacted in recent years. To mitigate this limitation, in this work we propose two different solutions based on transfer learning and multitask learning to determine whether a video has been uploaded from or downloaded to a specific social platform through the use of shared features with images trained on the same task. By transferring features from the shallowest to the deepest levels of the network from the image task to videos, we measure the amount of information shared between these two tasks. Then, we introduce a model based on multitask learning, which learns from both tasks simultaneously. The promising experimental results show, in particular, the effectiveness of the multitask approach. According to our knowledge, this is the first work that addresses the problem of social media platform identification of videos through the use of shared features.


page 1

page 2

page 3

page 4


Learning Double-Compression Video Fingerprints Left from Social-Media Platforms

Social media and messaging apps have become major communication platform...

WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments

This paper addresses the identification of toxic, engaging, and fact-cla...

Restoration of User Videos Shared on Social Media

User videos shared on social media platforms usually suffer from degrada...

Content-Based Filtering for Video Sharing Social Networks

In this paper we compare the use of several features in the task of cont...

What is usual in unusual videos? Trajectory snippet histograms for discovering unusualness

Unusual events are important as being possible indicators of undesired c...

Multitask Instruction-based Prompting for Fallacy Recognition

Fallacies are used as seemingly valid arguments to support a position an...

Multitask learning for recognizing stress and depression in social media

Stress and depression are prevalent nowadays across people of all ages d...

Please sign up or login with your details

Forgot password? Click here to reset