Transfer learning and GRU-CRF augmentation for Covid-19 fake news detection

نویسندگان

چکیده

The spread of fake news on online media is very dangerous and can lead to casualties, effects psychology, character assassination, elections for political parties, state chaos. Fake that concerning Covid-19 massively during the pandemic. Detecting misinformation Internet an essential challenging task since humans face difficulty detecting news. We applied BERT GPT2 as pre-trained using BiGRU-Att-CapsuleNet model BiGRU-CRF features augmentation solve News detection in Constraint @ AAAI2021 - COVID19 Detection English Dataset. This research proved our hybrid with got better accuracy compared baseline model. It also showed gave a result than all models; highest we achieved 0.9196, 0.8986.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Exploiting Tri-Relationship for Fake News Detection

Social media for news consumption is becoming popular nowadays. The low cost, easy access and rapid information dissemination of social media bring benefits for people to seek out news timely. However, it also causes the widespread of fake news, i.e., low-quality news pieces that are intentionally fabricated. The fake news brings about several negative effects on individual consumers, news ecos...

متن کامل

Automatic Detection of Fake News

The proliferation of misleading information in everyday access media outlets such as social media feeds, news blogs, and online newspapers have made it challenging to identify trustworthy news sources, thus increasing the need for computational tools able to provide insights into the reliability of online content. In this paper, we focus on the automatic identification of fake content in online...

متن کامل

Stance Detection for Fake News Identification

The latest election cycle generated sobering examples of the threat that fake news poses to democracy. Primarily disseminated by hyper-partisan media outlets, fake news proved capable of becoming viral sensations that can dominate social media and influence elections. To address this problem, we begin with stance detection, which is a first step towards identifying fake news. The goal of this p...

متن کامل

Automatic Deception Detection: Methods for Finding Fake News

This research surveys the current state-of-the-art technologies that are instrumental in the adoption and development of fake news detection. “Fake news detection” is defined as the task of categorizing news along a continuum of veracity, with an associated measure of certainty. Veracity is compromised by the occurrence of intentional deceptions. The nature of online news publication has change...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computer Science and Information Systems

سال: 2022

ISSN: ['1820-0214', '2406-1018']

DOI: https://doi.org/10.2298/csis210501053k