Artificial Intelligence Techniques to Restrain Fake Information

被引：0

作者：

Gunturu, Lakshmi Narasimha ^{[1
]}

Pamayyagari, Kalpana ^{[1
]}

Dornadula, Girirajasekhar ^{[1
]}

Nimbagal, Raghavendra Naveen ^{[2
]}

机构：

[1] Annamacharya Coll Pharm, Dept Pharm Practice, Rajampeta, India

[2] Sri Adichunchanagiri Coll Pharm, Dept Pharmaceut, BG Nagara, Karnataka, India

来源：

INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING AND COMMUNICATIONS, ICICC 2022, VOL 1 | 2023年 / 473卷

关键词：

Artificial intelligence; Deep learning; Fake information; Future directions; Global risk; Social media; INTERPERSONAL DECEPTION; LANGUAGE;

D O I：

10.1007/978-981-19-2821-5_56

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the current world, there has been an upsurge in the use of social networking sites like Facebook, WhatsApp, Twitter, etc. These are considered suitable sites for the exchange of messages and sharing pictures and videos. Besides providing entertainment to the users, sometimes the information circulating on these platforms may be fake or misleading. In this chapter, we reviewed the literature on AI technologies that address the issue of fake news detection, the process of information flow, different data sets to detect fake news, and future perspectives to improve the credibility of information.

引用

页码：665 / 673

页数：9

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