A significant increase in content creation and information exchange has been made possible by the quick development of online social media platforms, which has been very advantageous. However, these platforms have also become a haven for those who disseminate false information, propaganda, and fake news. Claims are essential in forming our perceptions of the world, but sadly, they are frequently used to trick people by those who spread false information. To address this problem, social media giants employ content moderators to filter out fake news from the actual world. However, the sheer volume of information makes it difficult to identify fake news effectively. Therefore, it has become crucial to automatically identify social media posts that make such claims, check their veracity, and differentiate between credible and false claims. In response, we presented CLAIMSCAN in the 2023 Forum for Information Retrieval Evaluation (FIRE'2023). The primary objectives centered on two crucial tasks: Task A, determining whether a social media post constitutes a claim, and Task B, precisely identifying the words or phrases within the post that form the claim. Task A received 40 registrations, demonstrating a strong interest and engagement in this timely challenge. Meanwhile, Task B attracted participation from 28 teams, highlighting its significance in the digital era of misinformation.

在线社交媒体平台的快速发展使内容创作和信息交流大幅增加，然而这些平台也成为了散布虚假信息、宣传和假新闻的温床。为了解决这个问题，社交媒体巨头雇佣内容审核员来过滤虚假新闻。然而，庞大的信息量使得有效辨别虚假新闻变得困难，因此自动识别发出此类言论的社交媒体帖子、核实其真实性并区分可信与虚假言论变得至关重要。

CLAIMSCAN-2023: 社交媒体中揭示真相的概述——通过索引主张的检测和识别