Check Mate: Prioritizing User Generated Multi-Media Content for Fact-Checking
| Autor: | Prabhakar, Tarunima, Gupta, Anushree, Nadig, Kruttika, George, Denny |
|---|---|
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Proceedings of the International AAAI Conference on Web and Social Media, Volume 15(1), 2021 |
| Druh dokumentu: | Working Paper |
| Popis: | 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 tables |
| Databáze: | arXiv |
| Externí odkaz: |
|