Abstract
To perform accurate Fake News Detection using Logistic Re gression (LR) and compare textual property accuracy wi th Support Vector Machine (SVM) algorithm. Materials and Method: The analysis for fake news detection in this proposed research was done us i ng machine learning algo rithms such a s the LR al go rith m <tex>$\boldsymbol{(\mathrm{N}=311)}$</tex> and SVM algorithm <tex>$\boldsymbol{(\mathrm{N}=311)}$</tex> with G power 80 % and alpha value 0.05. Results: The accuracy offake news was analyzed using the LR and SVMalgorithms. The accuracy of the LR algorithm appears to be 95.12 %, and the accuracy of the SVM algorithm appears to be 91.68 %. With a significance value of 0.079 for accuracy and 0.125 for precision, there is a statistically significant value between th e s am pl e groups. Conclusion: The LR algorithm appears to be more accurate th an the SVM algo rithm in identifying whether the news is fake or not.
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