![](bgc.png)
Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J.,
Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan,
B., Pennycook, G., Rothschild, D., Schudson, M., Slo-
man, S. A., Sunstein, C. R., Thorson, E. A., Watts,
D. J., and Zittrain, J. L. (2018). The science of fake
news. Science, 359(6380):1094–1096.
Maalej, Z. (2001). Discourse Studies, 3(3):376–378.
Machado, C., Kira, B., Narayanan, V., Kollanyi, B., and
Howard, P. (2019). A study of misinformation in
whatsapp groups with a focus on the brazilian presi-
dential elections. WWW ’19, page 1013–1019, New
York, NY, USA. Association for Computing Machin-
ery.
Monteiro, R. A., Santos, R. L., Pardo, T. A., De Almeida,
T. A., Ruiz, E. E., and Vale, O. A. (2018). Contri-
butions to the study of fake news in portuguese: New
corpus and automatic detection results. In Interna-
tional Conference on Computational Processing of the
Portuguese Language, pages 324–334. Springer.
Newman, N., Fletcher, R., Schulz, A., Andi, S., and
Nielsen, R.-K. (2020). Reuters institute digital news
report 2020. Report of the Reuters Institute for the
Study of Journalism.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V.,
Thirion, B., Grisel, O., Blondel, M., Prettenhofer,
P., Weiss, R., Dubourg, V., Vanderplas, J., Passos,
A., Cournapeau, D., Brucher, M., Perrot, M., and
Duchesnay, E. (2011). Scikit-learn: Machine learning
in Python. Journal of Machine Learning Research,
12:2825–2830.
Pranckevi
ˇ
cius, T. and Marcinkevi
ˇ
cius, V. (2017). Compari-
son of naive bayes, random forest, decision tree, sup-
port vector machines, and logistic regression classi-
fiers for text reviews classification. Baltic Journal of
Modern Computing, 5(2):221.
Prasetijo, A. B., Isnanto, R. R., Eridani, D., Soetrisno, Y.
A. A., Arfan, M., and Sofwan, A. (2017). Hoax de-
tection system on indonesian news sites based on text
classification using svm and sgd. In 2017 4th Interna-
tional Conference on Information Technology, Com-
puter, and Electrical Engineering (ICITACEE), pages
45–49. IEEE.
Qiu, X., Oliveira, D. F., Shirazi, A. S., Flammini, A., and
Menczer, F. (2017). Limited individual attention and
online virality of low-quality information. Nature Hu-
man Behaviour, 1(7):0132.
Rennie, J. D., Shih, L., Teevan, J., and Karger, D. R. (2003).
Tackling the poor assumptions of naive bayes text
classifiers. In Proceedings of the 20th international
conference on machine learning (ICML-03), pages
616–623.
Resende, G., Melo, P., Sousa, H., Messias, J., Vascon-
celos, M., Almeida, J., and Benevenuto, F. (2019).
(mis)information dissemination in whatsapp: Gather-
ing, analyzing and countermeasures.
Resende, G., Messias, J., Silva, M., Almeida, J., Vascon-
celos, M., and Benevenuto, F. (2018). A system for
monitoring public political groups in whatsapp. In
Proceedings of the 24th Brazilian Symposium on Mul-
timedia and the Web, WebMedia ’18, page 387–390,
New York, NY, USA. Association for Computing Ma-
chinery.
Rosenfeld, A., Sina, S., Sarne, D., Avidov, O., and Kraus,
S. (2018). A study of whatsapp usage patterns and
prediction models without message content. arXiv
preprint arXiv:1802.03393.
Rubin, V. L., Chen, Y., and Conroy, N. K. (2015). Deception
detection for news: three types of fakes. Proceedings
of the Association for Information Science and Tech-
nology, 52(1):1–4.
Shu, K., Sliva, A., Wang, S., Tang, J., and Liu, H. (2017).
Fake news detection on social media: A data mining
perspective.
Silva, R. M., Santos, R. L., Almeida, T. A., and Pardo,
T. A. (2020). Towards automatically filtering fake
news in portuguese. Expert Systems with Applications,
146:113199.
Song, G., Ye, Y., Du, X., Huang, X., and Bie, S. (2014).
Short text classification: A survey. Journal of multi-
media, 9(5):635.
Su, Q., Wan, M., Liu, X., and Huang, C.-R. (2020). Mo-
tivations, methods and metrics of misinformation de-
tection: An nlp perspective. Natural Language Pro-
cessing Research, 1:1–13.
Vosoughi, S., Roy, D., and Aral, S. (2018). The spread of
true and false news online. Science, 359:1146–1151.
Waterloo, S. F., Baumgartner, S. E., Peter, J., and Valken-
burg, P. M. (2018). Norms of online expressions
of emotion: Comparing facebook, twitter, instagram,
and whatsapp. new media & society, 20(5):1813–
1831.
Zervopoulos, A., Alvanou, A. G., Bezas, K., Papamichail,
A., Maragoudakis, M., and Kermanidis, K. (2020).
Hong kong protests: Using natural language process-
ing for fake news detection on twitter. In IFIP Inter-
national Conference on Artificial Intelligence Appli-
cations and Innovations, pages 408–419. Springer.
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