Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic map** study
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 …
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
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 …
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' …
possible solutions to one of the greatest threats to democracy.”—Kirkus Reviews Editors' …
Defining “fake news” A typology of scholarly definitions
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 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
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 …
ones, are weaponizing information on Online Social Networks to run false-information …
Rev2: Fraudulent user prediction in rating platforms
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 …
other users). However, untrustworthy users give fraudulent ratings for excessive monetary …
Predicting factuality of reporting and bias of news media sources
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 …
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
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
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
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 …
increasing yet difficult-to-identify fake reviews. Extant models for automated online fake …
A trust-based collaborative filtering algorithm for E-commerce recommendation system
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 …
information overload. In order to quickly find favorite items from vast resources, users are …