The explosive growth of fake news and its erosion to democracy, justice, public trust increased the demand for detection. As an interdisciplinary topic, study encourages a concerted effort experts in computer information science, political journalism, social psychology, economics. A comprehensive framework systematically understand detect is necessary attract unite researchers related areas conduct research on news. This tutorial aims clearly present (1) research, challenges, directions; (2)...

Consuming news from social media is becoming increasingly popular. Social appeals to users due its fast dissemination of information, low cost, and easy access. However, also enables the widespread fake news. Due detrimental societal effects news, detecting has attracted increasing attention. detection performance only using contents generally not satisfactory as written mimic true Thus, there a need for an in-depth understanding on relationship between user profiles In this paper, we study...

Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate detection. Recent advancements in this area have proposed novel techniques that aim detect by exploring how it propagates on social networks. Nevertheless, at an early stage, i.e., when is published a outlet but not yet spread media, one cannot rely propagation information as does exist. Hence, there strong need develop approaches can focusing content. In article, theory-driven model...

Fake news gains has gained significant momentum, strongly motivating the need for fake research. Many detection approaches have thus been proposed, where most of them heavily rely on content. However, networkbased clues revealed when analyzing propagation social networks is an information that hardly comprehensively explored or used detection. We bridge this gap by proposing a network-based pattern-driven approach. aim to study patterns in networks, which refer being spread, spreaders and...

First identified in Wuhan, China, December 2019, the outbreak of COVID-19 has been declared as a global emergency January, and pandemic March 2020 by World Health Organization (WHO). Along with this pandemic, we are also experiencing an "infodemic" information low credibility such fake news conspiracies. In work, present ReCOVery, repository designed constructed to facilitate research on combating regarding COVID-19. We first broadly search investigate ~2,000 publishers, from which 60...

This paper deals with the field of computer vision, mainly for application deep learning in object detection task. On one hand, there is a simple summary datasets and algorithms commonly used vision. other new dataset built according to those datasets, choose network called faster r-cnn work on this dataset. Through experiment strengthen understanding these networks, through analysis results learn importance technology, learning.

In this paper, an improved LSB information hiding algorithm of color image using secret key is be proposed, combining and cryptography, increasing the human eye visual features, identity authentication based on digital signature encryption technology to improve security hiding. Finally through experiment comparison peak signal-to-noise ratio (PSNR) safety, steganography better than general steganographic method with higher PSNR.

Effective detection of fake news has recently attracted significant attention. Current studies have made contributions to predicting with less focus on exploiting the relationship (similarity) between textual and visual information in articles. Attaching importance such similarity helps identify stories that, for example, attempt use irrelevant images attract readers' In this work, we propose a $\mathsf{S}$imilarity-$\mathsf{A}$ware $\mathsf{F}$ak$\mathsf{E}$ method ($\mathsf{SAFE}$) which...

Fake news has become a global phenomenon due its explosive growth, particularly on social media. The goal of this tutorial is to (1) clearly introduce the concept and characteristics fake how it can be formally differentiated from other similar concepts such as mis-/dis-information, satire news, rumors, among others, which helps deepen understanding news; (2) provide comprehensive review fundamental theories across disciplines illustrate they used conduct interdisciplinary research,...

The explosive growth of fake news and its erosion to democracy, journalism economy has increased the demand for detection. To achieve efficient explainable detection, an interdisciplinary approach is required, relying on scientific contributions from various disciplines, e.g., social sciences, engineering, among others. Here, we illustrate how such multidisciplinary can help detect by improving feature or providing well-justified machine learning models. We demonstrate content, propagation...

During the COVID-19 epidemic, how to use online education platforms teach and ensure effectiveness of home study for students is a topic concern many high schools. Guiyang No.1 Middle School used information management platform, based on actual situation school, combined multiple resources, rationally platform guide teach, which effectively guaranteed implementation “School’s Out, But Class’s On” i.e. suspending classes without stopping learning. Based practical exploration School, we...

Individuals can be misled by fake news and spread it unintentionally without knowing is false. This phenomenon has been frequently observed but not investigated. Our aim in this work to assess the intent of spreaders. To distinguish between intentional versus unintentional spreading, we study psychological explanations spreading. With foundation, then propose an influence graph, using which extensive experiments show that assessed help significantly differentiate Furthermore, estimated...