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Digital Natives or Digital Naivety? Evaluating how to assess the reliability and authenticity of online news

Alongside being a much-loved term of Donald Trump, ‘fake news’ sparked a lot of debates recently (Allcott and Gentzkow, 2017). Background Watch my video to find out what fake news is: Created by Filipek (2018) on Powtoon As noted in my first blog post, Prensky (2001) categorized young people as digital natives. Continue reading →

Brave New World – Developing the skills for evaluating “Fake News”

False information published online can be designed to further a political agenda, or simply to generate revenue through misleading titles, article descriptions and media in the form of “clickbait”. “Information gap theory” offers some insight into why clickbait is successfully, when a reader sees a snippet of a fake news article they will draw upon their background knowledge of that subject (Golman and Loewenstein 2015). Continue reading →

Brave New World – Developing the skills for evaluating “Fake News”

False information published online can be designed to further a political agenda, or simply to generate revenue through misleading titles, article descriptions and media in the form of “clickbait”. “Information gap theory” offers some insight into why clickbait is successful, when a reader sees a snippet of a fake news article they will draw upon their background knowledge of that subject (Golman and Loewenstein 2015). Continue reading →

Filter Bubble: Can we pop it?! – Topic 2

“Filter Bubble” was first coined by Eli Pariser (2011), who described it as a personalised search where algorithms guess what content myself would be interested in using data provided by yourself outlined in the video below: Figure 1 – Filter Bubble on Biteable created by Will Jones: Sources: (El-Bermawy, 2016)   Evidence of Filter Bubbles The effect of filter bubbles had a big effect on the recent US election. Continue reading →

Filter Bubble: Can we pop it?! – Topic 2

“Filter Bubble” was first coined by Eli Pariser (2011), who described it as a personalised search where algorithms guess what content myself would be interested in using data provided by yourself outlined in the video below: Figure 1 – Filter Bubble on Biteable created by Will Jones: Sources: (El-Bermawy, 2016)   Evidence of Filter Bubbles The effect of filter bubbles had a big effect on the recent US election. Continue reading →

Fake News Travels Fast

Social media allows news to travel to vast numbers of people at ridiculously fast speeds. Fake news Fakes news is simply news that spreads false information. Although fake news is not a completely new concept, it has recently come to the forefront of the media attention after the role that it played in the US Presidential election. During the US elections propagandist used the social media sites, such as Facebook and Twitter, to turn fake news into viral sensations (Manjoo, 2017). Continue reading →

Fake News Travels Fast

Social media allows news to travel to vast numbers of people at ridiculously fast speeds. Because of this we should always be wary of the legitimacy of what we are reading online. Fake news Fakes news is simply news that spreads false information. Although fake news is not a completely new concept, it has recently come to the forefront of the media attention after the role that it played in the US Presidential election. Continue reading →

The President trumps ‘Fake News’

Literacy, Literacy and more Literacy Growing our online network is an extremely important method in increasing our possibilities and abilities. The smaller it is, so will your opportunities to learn, socialise, professionalise etc. Part of growing our networks is done by understanding and learning the following literacy’s something many argue should be considered a right. Continue reading →