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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 WELFake dataset for fake news detection in text data ... Verma, Pawan Kumar; Agrawal, Prateek; Prodan, Radu. - : Zenodo, 2021 BASE Show details 2 WELFake dataset for fake news detection in text data ... Verma, Pawan Kumar; Agrawal, Prateek; Prodan, Radu. - : Zenodo, 2021 Abstract: We designed a larger and more generic Word Embedding over Linguistic Features for Fake News Detection (WELFake) dataset of 72,134 news articles with 35,028 real and 37,106 fake news. For this, we merged four popular news datasets (i.e. Kaggle, McIntire, Reuters, BuzzFeed Political) to prevent over-fitting of classifiers and to provide more text data for better ML training. Dataset contains four columns: Serial number (starting from 0); Title (about the text news heading); Text (about the news content); and Label (0 = fake and 1 = real). There are 78098 data entries in csv file out of which only 72134 entries are accessed as per the data frame. This dataset is a part of our ongoing research on "Fake News Prediction on Social Media Website" as a doctoral degree program of Mr. Pawan Kumar Verma and is partially supported by the ARTICONF project funded by the European Union’s Horizon 2020 research and innovation program. ... : {"references": ["Benjamin political news dataset, https://github.com/rpitrust/fakenewsdata1, Accessed: 31 March 2020.", "Burfoot satire news dataset, http://www.csse.unimelb.edu.au/research/lt/ resources/satire, Accessed: 31 March 2020.", "Buzzfeed news dataset, https://github.com/BuzzFeedNews/2016-10-facebook-fact-check/tree/master/data, Accessed: 31 March 2020.", "Credbank dataset, http://compsocial.github.io/CREDBANK-data, Accessed: 31 March 2020.", "Fake news challenge dataset, https://github.com/FakeNewsChallenge/fnc-1, Accessed: 31 March 2020.", "Fakenewsnet dataset, https://github.com/KaiDMML/FakeNewsNet, Accessed: 31 March 2020.", "Liar dataset, https://www.cs.ucsb.edu/~william/data/liar\_dataset.zip, Accessed:31 March 2020.", "Verma P.K., Agrawal P. (2020). Study and Detection of Fake News: P2C2-Based Machine Learning Approach, International Conference on Data Management, Analytics and Innovation, pp. 261-278, Delhi. https://doi.org/10.1007/978-981-15-5619-7_18", "P. K. Verma, P. Agrawal, I. Amorim ... Keyword: fake news detection; linguistic features; machine learning; text classification; Text news; word embedding URL: https://dx.doi.org/10.5281/zenodo.4561253 https://zenodo.org/record/4561253 BASE Hide details

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