Social media enables users to spread information and opinions, including in times of crisis
events such as riots, protests or uprisings. Sensitive event-related content can lead to …

The sheer volume of online user-generated content has rendered content moderation
technologies essential in order to protect digital platform audiences from content that may …

There is a rapidly growing need for multimodal content moderation (CM) as more and more
content on social media is multimodal in nature. Existing unimodal CM systems may fail to …

Social media platforms struggle to protect users from harmful content through content
moderation. These platforms have recently leveraged machine learning models to cope with …

The increasing popularity of multimedia messages shared through public or private social
media spills into diverse information dissemination contexts. To date, public social media …

The use of inappropriate language that negatively affects the readers' and viewers' moods
should be avoided because content moderation is a crucial component of every blog, media …

Social media is inevitably the most abundant source of actionable information in times of
natural disasters. Most of the data is either available in the form of text, images or videos …

Social media has become an integral part of our daily lives. During time-critical events, the
public shares a variety of posts on social media including reports for resource needs …

Modern social media platforms like Twitch, YouTube, etc., embody an open space for
content creation and consumption. However, an unintended consequence of such content …

To address the increasing need for efficient and accurate content moderation, we propose
an efficient and lightweight deep classification ensemble structure. Our approach is based …