The Kauwa-Kaate Fake News Detection System: Demo

被引：8

作者：

Bagade, Abhishek ^{[1
]}

Pale, Ashwini ^{[1
]}

Sheth, Shreyans ^{[1
,2
]}

Agarwal, Megha ^{[1
]}

Chakrabarti, Soumen ^{[1
]}

Chebrolu, Kameswari ^{[1
]}

Sudarshan, S. ^{[1
]}

机构：

[1] Indian Inst Technol, Bombay, Maharashtra, India

[2] CMU, Pittsburgh, PA USA

来源：

PROCEEDINGS OF THE 7TH ACM IKDD CODS AND 25TH COMAD (CODS-COMAD 2020) | 2020年

关键词：

fake news; fact checking; information retrieval;

D O I：

10.1145/3371158.3371402

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Fake news spread via social media is a major problem today. It is not easy with current-generation tools to check if a particular article is genuine or contains fake news. While there are many -Web sites today that debunk viral fake news, checking if a particular article has been debunked or is true is not easy for an end-user. Search engines like Google do not make it easy to check a complete article since they limit the number of query keywords. In this paper, we outline the architecture of the Kauwa-Kaate system for factchecking articles. Queried articles are searched against articles crawled from fact-checking sites, as well as against articles crawled from trusted news sites. Our system supports querying based on text as well as on images and video; the latter features are very important since many fake news articles are based on images and videos. We also describe the user interfaces which we will use to demonstrate the Kauwa-Kaate system.

引用

页码：302 / 306

页数：5

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