payjianwenjournal

Posts I’ve commented on: Luna Brillar Adriel Li Personally, I support the idea of multiple identities. As I explored the arguments for and against multiple online identities, I realized that these two schools of thought were quite critical to the digital world. Min hui’s comment and Cai Ying’s blog post also added depth to my understanding of how improper usage of identities contribute to the downsides of multiple identities. Continue reading →

Our online personas we build on the internet are digital breadcrumbs of the same persona (Tomas Chamorro-Premuzic, 2017). Almost all activities that are based on using web tool/applications are ways of creating our digital identities, even when they are not on deliberate (Torres and Costa, 2011). Relating to our topic on ‘Digital Residents vs Visitors’, a motive is the driving factor in our decision to have an (or several) online identities. Source: Self-produced, Content by http://www. Continue reading →

Posts I have commented on: Darren Marianne Increased Challenges in Evaluating Information Online Julian’s comment brought my attention towards advanced technology that allows video/audio manipulation. This contributes to our current challenge because not only can we not believe the news that we read, audios/videos are no longer as reliable. The video below proved how these tools can mimic public figures like Obama, and it is threatening if these tools land in the wrong hands. Continue reading →

With Artificial Intelligence introduced in most of the social media platforms, the algorithms that they employ, contribute to our Filter Bubble through feeding us personalised content. As a result, we can unknowingly become isolated from information that disagrees with our “worldview” (FutureLearn, 2017). From Figure 1, statistics have shown that majority of adults in U.S. obtain their news from social media, in particular, Facebook! Figure 1 Source: Self-produced The statistics of U.S. Continue reading →

With Artificial Intelligence introduced in most of the social media platforms, the algorithms that they employ, contribute to our Filter Bubble through feeding us personalised content. As a result, we can unknowingly become isolated from information that disagrees with our “worldview” (FutureLearn, 2017). From Figure 1, statistics have shown that majority of adults in U.S. obtain their news from social media, in particular, Facebook! Figure 1 Source: Self-produced The statistics of U.S. Continue reading →

Posts that I have commented on: Timothy Chong & Bernard Low Figure 1 Source: Tom Chu, PS Print Figure 2 Source: Screenshot from Futurelearn Figure 3 Source: OECD From Futurelearn, With the comparison between textbook and eBooks in Figure 1, I used to think that everyone benefits from technology as they can conveniently acquire information for learning purposes. Continue reading →

Today, I’m fortunate to be able to gain easy access to the internet with fast connectivity. However, digital differences still exist (Kathryn Zickuhr, 2012). These are contributed by factors like age, economic status, education and motivation (Susan Halford, Huw Davies and Jo Dixon, 2017). In this blog post, I will elaborate on how factors contribute to the ‘Digital Differences’ and impact my interaction with the web. Continue reading →