Humanity has been burdened with fake news. Given the seriousness of the problem, a lot of research is being carried out to understand the characteristics of fake news and thus build an automated fake news detection system. In this paper, we review, critique, and summarize the existing ...
Existing surveys present the review of proposed solutions, while this survey presents several aspects that are required to be considered before designing an effective solution. To this aim, we provide a comprehensive overview of false news detection. The survey presents (1) a clarity to problem ...
The paper presents a fake news detection model based on Bi-directional LSTM-recurrent neural network. Two publicly available unstructured news articles datasets are used to assess the performance of the model. The result shows the superiority in terms of accuracy of Bi-directional LSTM model over ...
Social media platforms like Twitter have become common tools for disseminating and consuming news because of the ease with which users can get access to and consume it. This paper focuses on the iden...
Basic NLP tasks with Python, End-to-end sentiment analysis, Fake news detection, personality prediction, Span Filtering, Text classification, Topic modeling, Twitter sentiment analysis, Yelp review, etc with NLP sentiment-analysis spam-filtering spacy-nlp personality-predicting review-prediction topic-mod...
In addition, CNNs have achieved strong results in intrusion detection [41], fake social media profile classification [42], Windows malware detection [43] and software code review [44]. [43] is an end-to-end CNN model that takes raw byte sequences from Windows PE files as input. Show ...
Additionally, as the review results indicate, the combination of DL and machine learning (ML) approaches with a balanced dataset can improve the detection and combating performance of the system. 展开 关键词: Artificial intelligence Deep learning Ethiopian languages Fake news Hate speech Machine ...
With the rapid development of the Internet, the wide circulation of disinformation has considerably disrupted the search and recognition of information. Despite intensive research devoted to fake text detection, studies on fake short videos that inundate
The primary contributions of this paper are as follows: In-depth review and exploration of fake news definitions, related terms, and their manifestation in both traditional and modern online media. By delving into the underlying reasons why individuals tend to believe and disseminate fake news, we...
We present the research problem and the existing challenges, discuss the state of the art in existing approaches for fake news detection, and point out the future research directions in tackling the challenges.Similar content being viewed by others A comprehensive review on automatic detection of ...