Does Media Literacy Help Identification of Fake News? Information Literacy Helps, but Other Literacies Don’t

2019 ◽  
pp. 000276421986940 ◽  
Author(s):  
S. Mo Jones-Jang ◽  
Tara Mortensen ◽  
Jingjing Liu
Keyword(s):  
Media Literacy ◽  
Information Literacy ◽  
The Self ◽  
Fake News ◽  
Digital Literacies ◽  
Misleading Information ◽  
Literacy Interventions ◽  
News Stories ◽  
Harmful Effects

Concerns over fake news have triggered a renewed interest in various forms of media literacy. Prevailing expectations posit that literacy interventions help audiences to be “inoculated” against any harmful effects of misleading information. This study empirically investigates such assumptions by assessing whether individuals with greater literacy (media, information, news, and digital literacies) are better at recognizing fake news, and which of these literacies are most relevant. The results reveal that information literacy—but not other literacies—significantly increases the likelihood of identifying fake news stories. Interpreting the results, we provide both conceptual and methodological explanations. Particularly, we raise questions about the self-reported competencies that are commonly used in literacy scales.

scholarly journals Advancing children’s news media literacy: learning from the practices and experiences of young Australians

2018 ◽  
Vol 41 (5) ◽  
pp. 689-707
Author(s):  
Tanya Notley ◽  
Michael Dezuanni
Keyword(s):  
Social Media ◽  
Media Literacy ◽  
News Media ◽  
Social Impact ◽  
Literacy Learning ◽  
Literacy Education ◽  
Fake News ◽  
News Stories ◽  
Media Literacy Education ◽  
Nationally Representative

Social media use has redefined the production, experience and consumption of news media. These changes have made verifying and trusting news content more complicated and this has led to a number of recent flashpoints for claims and counter-claims of ‘fake news’ at critical moments during elections, natural disasters and acts of terrorism. Concerns regarding the actual and potential social impact of fake news led us to carry out the first nationally representative survey of young Australians’ news practices and experiences. Our analysis finds that while social media is one of young people’s preferred sources of news, they are not confident about spotting fake news online and many rarely or never check the source of news stories. Our findings raise important questions regarding the need for news media literacy education – both in schools and in the home. Therefore, we consider the historical development of news media literacy education and critique the relevance of dominant frameworks and pedagogies currently in use. We find that news media has become neglected in media literacy education in Australia over the past three decades, and we propose that current media literacy frameworks and pedagogies in use need to be rethought for the digital age.

Survey on Fake News or Truth - Rumours Detection using Machine Learning

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Kalyani Deore ◽  
Leena Gaikwad ◽  
Rohit Dhamne ◽  
Vishal Agale ◽  
T. Bhaskar
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Machine Learning Algorithms ◽  
Modern World ◽  
Fake News ◽  
Misleading Information ◽  
Original Source ◽  
News Stories ◽  
False News ◽  
Communication Methods

This study is to help readers to understand detection of fake news using machine learning. The main purpose of the planned system is to build an application which identifies fake news stories from a bunch of news stories to make people aware of fake news rumours. With the help of machine learning algorithms, we can detect and separate out the fake news. Nowadays, it is become harder to identify the original source of news stories, like looking for a needle in a haystack. In the modern world, news is a kind of communication that keeps us up to date on the latest events, topics, and people in the wider globe. A society relies on news for a variety of reasons, the most important of which is informing its members about events taking on in and around them that might influence them. Oral and traditional media, as well as digital communication methods, altered videos, memes, unconfirmed marketing, and social media have all contributed to the spread of rumors. As nowadays many people use social media in many cases people get wrong and misleading information and people share those stories without verifying whether it is real or fake news stories. Spreading false information on social media has become a major problem these days. That is why we need a system that can tell us whether something is false news or not. Applications are: 1. Fake news may be detected on social media using this approach. 2. The system can be used to help news channels to broadcast only real and classified news. 3. Users can easily detect and eliminate fake articles that contain misinformation intended to mislead readers.

#Trump #Fakenews #Notmypresident

2021 ◽  
pp. 625-647
Author(s):  
Sheryl M. Kennedy Haydel ◽  
Shearon D. Roberts
Keyword(s):  
Media Literacy ◽  
Political Process ◽  
The Political ◽  
Stanford University ◽  
Fake News ◽  
Positive Difference ◽  
News Stories ◽  
General Elections ◽  
Low Levels ◽  
First Time

In the 2016 general elections, a Stanford University study found that American voters shared fake news stories at extraordinary high levels about the leading candidates, adding up to over 30 million times. While the primary researchers for this study noted that this number does not necessarily mean that fake news was persuasive, it suggests its accessibility, readability, and sharing was pervasive in the last election. This chapter looks at media and politics literacy for the millennial voter of color, who scholars describe as having low-levels of information, and media literacy. The irony is this is a group most in need of news and information for making informed decisions, as they are often first-time voters, now engaging with the political process. The classroom at an HBCU is part textbook and part bringing textbook to life, contextualizing the past and the present, and engaging young minds for making a positive difference in society.

#Trump #Fakenews #Notmypresident

2018 ◽  
pp. 199-221
Author(s):  
Sheryl M. Kennedy Haydel ◽  
Shearon D. Roberts
Keyword(s):  
Media Literacy ◽  
Political Process ◽  
The Political ◽  
Stanford University ◽  
Fake News ◽  
Positive Difference ◽  
News Stories ◽  
General Elections ◽  
Low Levels ◽  
First Time

In the 2016 general elections, a Stanford University study found that American voters shared fake news stories at extraordinary high levels about the leading candidates, adding up to over 30 million times. While the primary researchers for this study noted that this number does not necessarily mean that fake news was persuasive, it suggests its accessibility, readability, and sharing was pervasive in the last election. This chapter looks at media and politics literacy for the millennial voter of color, who scholars describe as having low-levels of information, and media literacy. The irony is this is a group most in need of news and information for making informed decisions, as they are often first-time voters, now engaging with the political process. The classroom at an HBCU is part textbook and part bringing textbook to life, contextualizing the past and the present, and engaging young minds for making a positive difference in society.

scholarly journals ‘Fake news’ is the invention of a liar: How false information circulates within the hybrid news system

2019 ◽  
Vol 67 (4) ◽  
pp. 625-642 ◽  
Author(s):  
Fabio Giglietto ◽  
Laura Iannelli ◽  
Augusto Valeriani ◽  
Luca Rossi
Keyword(s):  
Conceptual Framework ◽  
Fake News ◽  
False Information ◽  
Misleading Information ◽  
Meso Level ◽  
News Stories ◽  
Global Circulation ◽  
Different Types ◽  
Change Of Perspective ◽  
Micro Level

Alarmed by the oversimplifications related to the ‘fake news’ buzzword, researchers have started to unpack the concept, defining diverse types and forms of misleading news. Most of the existing works in the area consider crucial the intent of the content creator in order to differentiate among different types of problematic information. This article argues for a change of perspective that, by leveraging the conceptual framework of sociocybernetics, shifts from exclusive attention to creators of misleading information to a broader approach that focuses on propagators and, as a result, on the dynamics of the propagation processes. The analytical implications of this perspective are discussed at a micro level (criteria to judge the falsehood of news and to decide to spread it), at a meso level (four possible relations between individual judgements and decisions), and at a macro level (global circulation cascades). The authors apply this theoretical gaze to analyse ‘fake news’ stories that challenge existing models.

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