"No civil discourse, no cooperation; misinformation, mistruth." These were the words of former Facebook Vice President Chamath Palihapitiya who publicly expressed his regret in a 2017 interview over his role in co-creating Facebook. Palihapitiya shared that social media is ripping apart the social fabric of society and he also sounded the alarm regarding social media’s unavoidable global impact. He is only one of social media’s countless critics. The more disturbing issue resides in the empirical evidence supporting such notions. At least 95% of adolescents own a smartphone and spend an average time of two to four hours a day on social media. Moreover, 91% of 16-24-year-olds use social media, yet youth rate Instagram, Facebook, and Twitter as the worst social media platforms. However, the social, clinical, and neurodevelopment ramifications of using social media regularly are only beginning to emerge in research. Early research findings show that social media platforms trigger anxiety, depression, low self-esteem, and other negative mental health effects. These negative mental health symptoms are commonly reported by individuals from of 18-25-years old, a unique period of human development known as emerging adulthood. Although emerging adulthood is characterized by identity exploration, unbounded optimism, and freedom from most responsibilities, it also serves as a high-risk period for the onset of most psychological disorders. Despite social media’s adverse impacts, it retains its utility as it facilitates identity exploration and virtual socialization for emerging adults. Investigating the “user-centered” design and neuroscience underlying social media platforms can help reveal, and potentially mitigate, the onset of negative mental health consequences among emerging adults. Effectively deconstructing the Facebook, Twitter, and Instagram (i.e., hereafter referred to as “The Big Three”) will require an extensive analysis into common features across platforms. A few examples of these design features include: like and reaction counters, perpetual news feeds, and omnipresent banners and notifications surrounding the user’s viewport. Such social media features are inherently designed to stimulate specific neurotransmitters and hormones such as dopamine, serotonin, and cortisol. Identifying such predacious social media features that unknowingly manipulate and highjack emerging adults’ brain chemistry will serve as a first step in mitigating the negative mental health effects of today’s social media platforms. A second concrete step will involve altering or eliminating said features by creating a social media platform that supports and even enhances mental well-being.
is exposed to the word’s meaning in an ambiguous fashion throughout different contexts. Many
studies have been conducted using CSWL tasks on both children and adults. Most of these
studies look at single-label pairings, which is when one object is paired with one word. More
recently, research has also started to look at double-label pairings. Double-label pairings consist
of one object being paired with two words. No study to date has compared adult and children’s
performance in a double-label design. This study’s aim was to better understand how adults and
children compare in these tasks. The current study conducted two experiments to compare adult
and children’s performance in a CSWL task in either a single-label and double-label design.
Results showed that adults were successful in both conditions but performed better in the
single-label condition than the double-label condition. Children on the other hand were
unsuccessful in both conditions and did not demonstrate learning. Several reasons for these
findings are discussed. These results highlight the need for further research that directly
compares age groups in CSWL tasks and for further research into the area of multiple-label
pairings.
was that there was a small sample size of only 29 children. In order to account for this, the sample sizes in Study 2 and Study 3 were combined. This combined data did show that children succeeded at the backwards integration condition. It is noteworthy to mention that backwards integration was above chance in Study 2 and in the Study 2 and 3 combination. Therefore, the overall results suggest that children may possibly be able to backwards integrate; however, no evidence of learning in any of the other conditions were present.