![]() ![]() In this paper, we propose an automated solution to identify videos that are likely to be targeted by coordinated harassers. Therefore, the de-facto solution is to reactively rely on user reports and human reviews. Unlike well-studied problems like spam and phishing, coordinated aggressive behavior both targets and is perpetrated by humans, making defense mechanisms that look for automated activity unsuitable. Despite the increasing relevance of this phenomenon, online services often lack effective countermeasures to mitigate it. In particular, recent work has showed how these attacks often take place as a result of "raids," i.e., organized efforts coordinated by ad-hoc mobs from third-party communities. Unfortunately, these communities are periodically plagued with aggression and hate attacks. Video sharing platforms like YouTube receive uploads from millions of users, covering a wide variety of topics and allowing others to comment and interact in response. At the same time, however, it has also enabled anti-social and toxic behavior to occur at an unprecedented scale. ![]() Over the years, the Web has shrunk the world, allowing individuals to share viewpoints with many more people than they are able to in real life. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |