Fake news (FN) has become a big problem in today's world, recognition partly to the widespread use of social media. A wide variety organizations and websites post their stories on It is important verify that information posted genuine obtained from reputable sources. The intensity sincerity internet cannot be quantified completely remains challenge. We present an FNU-BiCNN model for identifying...

Social media for news consumption is becoming popular nowadays. The low cost, easy access and rapid information dissemination of social media bring benefits for people to seek out news timely. However, it also causes the widespread of fake news, i.e., low-quality news pieces that are intentionally fabricated. The fake news brings about several negative effects on individual consumers, news ecos...

Fingerprint authentication is widely used in biometrics due to its simple process, but it is vulnerable to fake fingerprints. This study proposes a patch-based fake fingerprint detection method using a fully convolutional neural network with a small number of parameters and an optimal threshold to solve the above-mentioned problem. Unlike the existing methods that classify a fingerprint as live...

Our work considers leveraging crowd signals for detecting fake news and is motivated by tools recently introduced by Facebook that enable users to flag fake news. By aggregating users’ flags, our goal is to select a small subset of news every day, send them to an expert (e.g., via a third-party factchecking organization), and stop the spread of news identified as fake by an expert. The main obj...

Detection of fake accounts on social networks is a challenging process. The previous methods in identification of fake accounts have not considered the strength of the users’ communications, hence reducing their efficiency. In this work, we are going to present a detection method based on the users’ similarities considering the network communications of the users. In the first step, similarity ...

the purpose of this study is to analyse the correlation between content and traffic of 21,485 academic websites (universities and research institutes). the achieved result is used as an indicator which shows the performance of the websites for attracting more visitors. this inspires a best practice for developing new websites or promoting the traffic of the existing websites. at the first step,...

tourism organizations have become one of the main users of the internet in recent years bysetting their own urban tourism websites. however, not all the websites are effective to promote their goals andobjectives. an effective evaluation of urban tourism websites can help organizations on how best to employ them.using the ictrt (information, communication, transaction, relationship and technica...