Employing artificial intelligence techniques as a mechanism for investigation, scrutiny, and detection of fake news and rumors

2021 ◽  
Vol 12 (1) ◽  
pp. 117-117
Author(s):  
Yosra Sobeih ◽  
El Taieb EL Sadek
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Machine Intelligence ◽  
The Internet ◽  
Human Intelligence ◽  
Fake News ◽  
The Media ◽  
Media Work ◽  
False News ◽  
Editorial Processing

Modern communication means have imposed many changes on the media work in the different stages of content production, starting from gathering news, visual and editorial processing, verification and verification of the truthfulness of what was stated in it until its publication, so the changes that were stimulated by modern means and technologies and artificial intelligence tools have affected all stages of news and media production, since the beginning of the emergence of rooms. Smart news that depends on human intelligence and then machine intelligence, which has become forced to keep pace with the development in communication means, which has withdrawn in the various stages of production, and perhaps the most important of which is the process of investigation and scrutiny and the detection of false news and rumors in our current era, which has become the spread of information very quickly through the Internet and websites Social media and various media platforms

scholarly journals A Reliable Artificial Intelligence Model for False News Detection Made by Public Figures

2021 ◽  
Vol 08 (03) ◽  
pp. 01-08
Author(s):  
Prashant Kumar Shrivastava ◽  
Mayank Sharma ◽  
Megha Kamble ◽  
Vaibhav Gore
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Classification Accuracy ◽  
Deep Neural Networks ◽  
Access To Information ◽  
Fake News ◽  
Social Media Networks ◽  
Public Figures ◽  
False News ◽  
Research Challenge

The quick access to information on social media networks as well as its exponential rise also made it difficult to distinguish among fake information or real information. The fast dissemination by way of sharing has enhanced its falsification exponentially. It is also important for the credibility of social media networks to avoid the spread of fake information. So it is emerging research challenge to automatically check for misstatement of information through its source, content, or publisher and prevent the unauthenticated sources from spreading rumours. This paper demonstrates an artificial intelligence based approach for the identification of the false statements made by social network entities. Two variants of Deep neural networks are being applied to evalues datasets and analyse for fake news presence. The implementation setup produced maximum extent 99% classification accuracy, when dataset is tested for binary (true or false) labeling with multiple epochs.

scholarly journals Information Management in Healthcare and Environment: Towards an Automatic System for Fake News Detection

2020 ◽  
Vol 17 (3) ◽  
pp. 1066 ◽  
Author(s):  
Pablo Lara-Navarra ◽  
Hervé Falciani ◽  
Enrique A. Sánchez-Pérez ◽  
Antonia Ferrer-Sapena
Keyword(s):  
Social Media ◽  
Open Data ◽  
The Internet ◽  
Web Pages ◽  
Fake News ◽  
Social Media Networks ◽  
Analytical Scheme ◽  
False News ◽  
The Right ◽  
Methodological Guidelines

Comments and information appearing on the internet and on different social media sway opinion concerning potential remedies for diagnosing and curing diseases. In many cases, this has an impact on citizens’ health and affects medical professionals, who find themselves having to defend their diagnoses as well as the treatments they propose against ill-informed patients. The propagation of these opinions follows the same pattern as the dissemination of fake news about other important topics, such as the environment, via social media networks, which we use as a testing ground for checking our procedure. In this article, we present an algorithm to analyse the behaviour of users of Twitter, the most important social network with respect to this issue, as well as a dynamic knowledge graph construction method based on information gathered from Twitter and other open data sources such as web pages. To show our methodology, we present a concrete example of how the associated graph structure of the tweets related to World Environment Day 2019 is used to develop a heuristic analysis of the validity of the information. The proposed analytical scheme is based on the interaction between the computer tool—a database implemented with Neo4j—and the analyst, who must ask the right questions to the tool, allowing to follow the line of any doubtful data. We also show how this method can be used. We also present some methodological guidelines on how our system could allow, in the future, an automation of the procedures for the construction of an autonomous algorithm for the detection of false news on the internet related to health.

Detecting Fake News on Social Media

2021 ◽  
pp. 49-67
Author(s):  
Esra Bozkanat
Keyword(s):  
Social Media ◽  
The Internet ◽  
Control Mechanisms ◽  
Fake News ◽  
Media Type ◽  
Lack Of Control ◽  
Fact Checking ◽  
False News ◽  
The Impact ◽  
Interactive Medium

As Web 2.0 technologies have turned the Internet into an interactive medium, users dominate the field. With the spread of social media, the Internet has become much more user-oriented. In contrast to traditional media, social media's lack of control mechanisms makes the accuracy of spreading news questionable. This brings us to the significance of fact-checking platforms. This study investigates the antecedents of spreading false news in Turkey. The purpose of the study is to determine the features of fake news. For this purpose, teyit.org, the biggest fact-checking platform in Turkey, has been chosen for analysis. The current study shows fake news to be detectable based on four features: Propagation, User Type, Social Media Type, and Formatting. According to the logistic regression analysis, the study's model obtained 86.7% accuracy. The study demonstrates that Facebook increases the likelihood of news being fake compared to Twitter or Instagram. Emoji usage is also statistically significant in terms of increasing the probability of fake news. Unexpectedly, the impact of photos or videos was found statistically insignificant.

scholarly journals Kiiling Media Piracy by using Artificial Intelligence

2019 ◽  
Vol 9 (1) ◽  
pp. 404-407
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
The Internet ◽  
Long Period ◽  
Replacement Algorithm ◽  
The Social ◽  
Social Media Platforms ◽  
The Media ◽  
The Government

Now a day’s Artificial intelligence is very important. To eradicate the media piracy on the internet we are going to implement the technique called the page replacement algorithm by using the artificial intelligence. Detecting and stopping by manually it is not possible to remove manually. The page replacement algorithm will help to detect the media piracy on the internet. Internet means that any of the social media platforms like gmail ,youtube,drives etc. By using this page replacement algorithm we are going to achieve. This algorithm will helps to detect it will divide into the number of frames each page has the several frames .Each frame in the page get scanned by the page replacement algorithm . Based on this technique replaces the page that used for the long period of time. This page replacement algorithm has to work very fastlly and consumes the less memory. This technology has controlled by the any government companies. The government has specified companies to detect such piracy. The LRU technique maintains the backward of the page. This LRU helps within seconds to detect the piracy on the internet.

15. Media and Politics

Politics ◽  
2018 ◽  
Author(s):  
Peter Ferdinand ◽  
Robert Garner ◽  
Stephanie Lawson
Keyword(s):  
Social Media ◽  
Political Life ◽  
The Internet ◽  
Fake News ◽  
Media And Politics ◽  
Governmental Organizations ◽  
Political Journalism ◽  
The World ◽  
The Media

This chapter explores the link between media and politics. It first considers the more general relationship between the media and governmental organizations, and more specifically the overlap of governmental and media functions, and how dramatic representation influences our understanding of political life. It then examines the ways in which journalists and media organizations make news, along with the role of political journalism in political life, especially in democracies. It also discusses the globalization of media and the convergence of styles of news presentation and reporting on television around the world. Finally, it analyses the implications of the Internet and social media for political life, from potentially promoting democracy to accusations of false narratives and ‘fake’ news.

scholarly journals ‘INFORMATION DISORDER’: SAMPLE OF SYRIANS IN TURKEY

2021 ◽  
pp. 109-122
Author(s):  
Apak Kerem ALTINTOP ◽  
Yasin ÖZBEY ◽  
Ece ÇİM
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Age Distribution ◽  
Active Role ◽  
University Graduates ◽  
Fake News ◽  
Temporary Protection ◽  
The Media ◽  
Concept Of Information ◽  
False News

The aim of the study is to examine perceptions and knowledge towards Syrians in Turkey under temporary protection. This examination will be conducted in the light of the concept of information disorder that was conceptualized by Wardle in 2017. The concepts of "fake news", "false content", "disinformation" in the current literature assume that the information is wrong. Information disorder is based on two bases: i) whether the information is true or false, ii) what is the intention of producing, sharing, and disseminating information. In the research, the news about Syrians in the media and that set an example for information disorder was examined. Then, the knowledge and perception of the society was investigated through the relevant news. Qualitative method was preferred in the study. An online survey was conducted because of the COVID-19 outbreak. 360 people were reached. The survey consists of questions about false news about Syrians in the media, social media usage habits, sharing habits and demographic information. While 60.4% of the participants in the study are women, 38.5% are men. The age distribution is between the ages of 17-70. The average age is 35.55. Most of the participants are university graduates (57.1%). The rate of those who had family or personal immigration experience before is 44.9%. While 74.2% of the participants do not share the news about Syrians on social media, most of those who share are made on Twitter. As a result, social media plays an active role in the circulation of fake news, which occupies a certain place in the country, without confirmation and origin, and creates social reality. Although people think that they use it consciously, it is seen that they think differently when it comes to Syrian under temporary protection.

Identity concerns drive belief: The impact of partisan identity on the belief and dissemination of true and false news

2018 ◽  
Author(s):  
Andrea Pereira ◽  
Jay Joseph Van Bavel ◽  
Elizabeth Ann Harris
Keyword(s):  
Social Media ◽  
Political System ◽  
Political Identity ◽  
Social Goals ◽  
Fake News ◽  
Political Beliefs ◽  
System P ◽  
False News ◽  
Democrats And Republicans ◽  
The Impact

Political misinformation, often called “fake news”, represents a threat to our democracies because it impedes citizens from being appropriately informed. Evidence suggests that fake news spreads more rapidly than real news—especially when it contains political content. The present article tests three competing theoretical accounts that have been proposed to explain the rise and spread of political (fake) news: (1) the ideology hypothesis— people prefer news that bolsters their values and worldviews; (2) the confirmation bias hypothesis—people prefer news that fits their pre-existing stereotypical knowledge; and (3) the political identity hypothesis—people prefer news that allows their political in-group to fulfill certain social goals. We conducted three experiments in which American participants read news that concerned behaviors perpetrated by their political in-group or out-group and measured the extent to which they believed the news (Exp. 1, Exp. 2, Exp. 3), and were willing to share the news on social media (Exp. 2 and 3). Results revealed that Democrats and Republicans were both more likely to believe news about the value-upholding behavior of their in-group or the value-undermining behavior of their out-group, supporting a political identity hypothesis. However, although belief was positively correlated with willingness to share on social media in all conditions, we also found that Republicans were more likely to believe and want to share apolitical fake new. We discuss the implications for theoretical explanations of political beliefs and application of these concepts in in polarized political system.

Fake It “Till You Make It”: Debunking Fake News in a Post-Truth America

2019 ◽  
Vol 8 (1) ◽  
pp. 114-133
Keyword(s):  
Social Media ◽  
First Amendment ◽  
Presidential Election ◽  
Political Discourse ◽  
Cutting Edge ◽  
American People ◽  
Fake News ◽  
News Sources ◽  
The Media ◽  
The U.S

Since the 2016 U.S. presidential election, attacks on the media have been relentless. “Fake news” has become a household term, and repeated attempts to break the trust between reporters and the American people have threatened the validity of the First Amendment to the U.S. Constitution. In this article, the authors trace the development of fake news and its impact on contemporary political discourse. They also outline cutting-edge pedagogies designed to assist students in critically evaluating the veracity of various news sources and social media sites.

The Future of Human Workers

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Mental Capacity ◽  
Machine Intelligence ◽  
The Internet ◽  
Traditional Model ◽  
Global Workforce ◽  
Repetitive Tasks ◽  
The Internet Of Things

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.

scholarly journals Perceived truth of statements and simulated social media postings: an experimental investigation of source credibility, repeated exposure, and presentation format

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Lena Nadarevic ◽  
Rolf Reber ◽  
Anne Josephine Helmecke ◽  
Dilara Köse
Keyword(s):  
Social Media ◽  
Source Credibility ◽  
Repeated Exposure ◽  
Presentation Format ◽  
The Internet ◽  
Additive Effects ◽  
Fake News ◽  
Source Information ◽  
Internet Age

Abstract To better understand the spread of fake news in the Internet age, it is important to uncover the variables that influence the perceived truth of information. Although previous research identified several reliable predictors of truth judgments—such as source credibility, repeated information exposure, and presentation format—little is known about their simultaneous effects. In a series of four experiments, we investigated how the abovementioned factors jointly affect the perceived truth of statements (Experiments 1 and 2) and simulated social media postings (Experiments 3 and 4). Experiment 1 explored the role of source credibility (high vs. low vs. no source information) and presentation format (with vs. without a picture). In Experiments 2 and 3, we additionally manipulated repeated exposure (yes vs. no). Finally, Experiment 4 examined the role of source credibility (high vs. low) and type of repetition (congruent vs. incongruent vs. no repetition) in further detail. In sum, we found no effect of presentation format on truth judgments, but strong, additive effects of source credibility and repetition. Truth judgments were higher for information presented by credible sources than non-credible sources and information without sources. Moreover, congruent (i.e., verbatim) repetition increased perceived truth whereas semantically incongruent repetition decreased perceived truth, irrespectively of the source. Our findings show that people do not rely on a single judgment cue when evaluating a statement’s truth but take source credibility and their meta-cognitive feelings into account.

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