Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic map** study

M Choraś, K Demestichas, A Giełczyk, Á Herrero… - Applied Soft …, 2021 - Elsevier
Fake news has now grown into a big problem for societies and also a major challenge for
people fighting disinformation. This phenomenon plagues democratic elections, reputations …

[HTML][HTML] Combating the menace: A survey on characterization and detection of fake news from a data science perspective

W Ansar, S Goswami - … Journal of Information Management Data Insights, 2021 - Elsevier
Journalism has always remained a vital constituent of our society and journalists play a key
role in making people aware of the happenings and developments in society. This spread of …

[KNIHA][B] The misinformation age: How false beliefs spread

C O'Connor, JO Weatherall - 2019 - books.google.com
“Empowering and thoroughly researched, this book offers useful contemporary analysis and
possible solutions to one of the greatest threats to democracy.”—Kirkus Reviews Editors' …

Defining “fake news” A typology of scholarly definitions

EC Tandoc Jr, ZW Lim, R Ling - Digital journalism, 2018 - Taylor & Francis
This paper is based on a review of how previous studies have defined and operationalized
the term “fake news.” An examination of 34 academic articles that used the term “fake news” …

The web of false information: Rumors, fake news, hoaxes, clickbait, and various other shenanigans

S Zannettou, M Sirivianos, J Blackburn… - Journal of Data and …, 2019 - dl.acm.org
A new era of Information Warfare has arrived. Various actors, including state-sponsored
ones, are weaponizing information on Online Social Networks to run false-information …

Rev2: Fraudulent user prediction in rating platforms

S Kumar, B Hooi, D Makhija, M Kumar… - Proceedings of the …, 2018 - dl.acm.org
Rating platforms enable large-scale collection of user opinion about items (eg, products or
other users). However, untrustworthy users give fraudulent ratings for excessive monetary …

Predicting factuality of reporting and bias of news media sources

R Baly, G Karadzhov, D Alexandrov, J Glass… - arxiv preprint arxiv …, 2018 - arxiv.org
We present a study on predicting the factuality of reporting and bias of news media. While
previous work has focused on studying the veracity of claims or documents, here we are …

A survey on stance detection for mis-and disinformation identification

M Hardalov, A Arora, P Nakov, I Augenstein - arxiv preprint arxiv …, 2021 - arxiv.org
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …

What online reviewer behaviors really matter? Effects of verbal and nonverbal behaviors on detection of fake online reviews

D Zhang, L Zhou, JL Kehoe, IY Kilic - Journal of Management …, 2016 - Taylor & Francis
The value and credibility of online consumer reviews are compromised by significantly
increasing yet difficult-to-identify fake reviews. Extant models for automated online fake …

A trust-based collaborative filtering algorithm for E-commerce recommendation system

L Jiang, Y Cheng, L Yang, J Li, H Yan… - Journal of ambient …, 2019 - Springer
The rise of e-commerce has not only given consumers more choice but has also caused
information overload. In order to quickly find favorite items from vast resources, users are …