Fake News (Hoaxes) Detection on Twitter Social Media Content through Convolutional Neural Network (CNN) Method

نویسندگان

چکیده

The use of social media is very influential for the community. Users can easily post various activities in form text, photos, and videos media. Information on contains fake news hoaxes that will have an impact society. One most used Twitter. This study aims to detect found Tweets using Convolutional Neural Network (CNN) method by comparing weighting features Term Frequency Inverse Document (TF-IDF) Frequency-Relevance (TF-RF). highest accuracy was obtained (TF-RF) feature with 84.11%, while 80.29%.

برای دانلود رایگان 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

Double-Star Detection Using Convolutional Neural Network in Atmospheric Turbulence

In this paper, we investigate the usage of machine learning in the detection and recognition of double stars. To do this, numerous images including one star and double stars are simulated. Then, 100 terms of Zernike expansion with random coefficients are considered as aberrations to impose on the aforementioned images. Also, a telescope with a specific aperture is simulated. In this work, two k...

متن کامل

Social Media and Fake News in the 2016 Election

A merican democracy has been repeatedly buffeted by changes in media technology. In the 19th century, cheap newsprint and improved presses allowed partisan newspapers to expand their reach dramatically. Many have argued that the effectiveness of the press as a check on power was significantly compromised as a result (for example, Kaplan 2002). In the 20th century, as radio and then television b...

متن کامل

Fake News in Social Networks

We model the spread of news as a social learning game on a network. Agents can either endorse or oppose a claim made in a piece of news, which itself may be either true or false. Agents base their decision on a private signal and their neighbors’ past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and receive utility from acting in acco...

متن کامل

Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning

In recent years, Convolutional Neural Networks (CNNs) have shown remarkable performance in many computer vision tasks such as object recognition and detection. However, complex training issues, such as “catastrophic forgetting” and hyper-parameter tuning, make incremental learning in CNNs a difficult challenge. In this paper, we propose a hierarchical deep neural network, with CNNs at multiple ...

متن کامل

Derivation of Backpropagation in Convolutional Neural Network (CNN)

Derivation of backpropagation in convolutional neural network (CNN) is conducted based on an example with two convolutional layers. The step-by-step derivation is helpful for beginners. First, the feedforward procedure is claimed, and then the backpropagation is derived based on the example. 1 Feedforward

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: Journal of Information and Visualization

سال: 2023

ISSN: ['2746-1440']

DOI: https://doi.org/10.35877/454ri.jinav1525