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ConFake: fake news identification using content based features

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Abstract

The majority of users were available on the Internet and created a number of social networking accounts during India’s COVID-19-caused lockdown, which lasted from March to June 2020. A massive amount of information is currently being disseminated on the Internet via various social networking accounts. Some false or fake information in the form of “government letters or resolutions, religious comments, hate speech, and so on" has spread like wildfire. As a result, there are major social issues affecting areas such as unemployment, politics, healthcare, poverty, religious cleavages, etc. Due to the vast availability of similar datasets comprising these types of information, manual detection of fake news or false information is challenging. This issue requires immediate attention in terms of automatically finding false news. With this motivation, we present a novel ‘ConFake’ algorithm. This algorithm includes an eighty content-based feature set for identifying fake news. Content-based and word vector features extracted from the textual content of news stories were used in the experiment. These characteristics were combined and input into machine learning classifiers. To validate the experimental findings, we ran all of the experiments on five publicly available datasets and one synthetically generated ConFake dataset that combined five datasets, namely: Kaggle, McIntire, Reuter, BuzzFeed, and PolitiFact. The proposed model achieved the highest accuracy of 97.31% when compared to other cutting-edge models.

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Data Availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Notes

  1. Source:https://www.truthorfiction.com/u-s-military-dogs-being-evacuated-from-afghanistan/

  2. Source:https://www.truthorfiction.com/no-a-study-didnt-find-that-the-most-highly-educated-americans-are-also-the-most-vaccine-hesitant/

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  1. Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, 302017, Rajasthan, India

    Mayank Kumar Jain, Dinesh Gopalani & Yogesh Kumar Meena

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  1. Mayank Kumar Jain
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Jain, M.K., Gopalani, D. & Meena, Y.K. ConFake: fake news identification using content based features. Multimed Tools Appl 83, 8729–8755 (2024). https://doi.org/10.1007/s11042-023-15792-1

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