I am Kruttika Nadig

Professional sports and schooling rarely rub shoulders in the Indian context. Most schools are happy to see their students bring back inter-school shields and trophies but the enthusiasm generally wanes there. One can hardly expect much more from a marks oriented system where extra-curriculars are dispensable embellishments on one’s CV

Check Mate: Prioritizing User Generated Multi-Media Content for Fact-Checking

Volume of content and misinformation on social media is rapidly increasing. There is a need for systems that can support fact checkers by prioritizing content that needs to be fact checked. Prior research on prioritizing content for fact-checking has focused on news media articles, predominantly in English language. Increasingly, misinformation is found in user-generated content. In this paper we present a novel dataset that can be used to prioritize check-worthy posts from multi-media content in Hindi. It is unique in its 1) focus on user generated content, 2) language and 3) accommodation of multi-modality in social media posts. In addition, we also provide metadata for each post such as number of shares and likes of the post on ShareChat, a popular Indian social media platform, that allows for correlative analysis around virality and misinformation. The data is accessible on Zenodo (https://zenodo.org/record/4032629) under Creative Commons Attribution License (CC BY 4.0).Comment: 8 pages, 13 figures, 2 table

I am Kruttika Nadig

Professional sports and schooling rarely rub shoulders in the Indian context. Most schools are happy to see their students bring back inter-school shields and trophies but the enthusiasm generally wanes there. One can hardly expect much more from a marks oriented system where extra-curriculars are dispensable embellishments on one’s CV