The effect of various social determinants on maternal mortality in the United States
Read More...Browse Articles
Associations between substance misuse, social factors, depression, and anxiety among college students
Here, the authors considered the effects of relationship status and substance use on the mental health of colleges students, where they specifically examined their correlation with depression, anxiety, and the fear of missing out (FoMO). Through a survey of college students they found that those with higher substance misuse had higher levels of anxiety, depression, and FoMO, while those involved in longer-term relationships had lower levels of FoMo and alcohol use.
Read More...The influence of implicit social pressure on prosocial behavior of adolescents
In this study the authors sought to understand the influence of implicit social pressure on prosocial behavior (voluntary acts that benefit someone else) in adolescents age 12–19. They considered how participants divided money between themselves and four teammate they did a school project with. Despite being shown examples of how to divide money (social pressure), their results showed that both boys and girls were unaffected by prosocial, neutral, and antisocial pressures.
Read More...Majority and Minority Influence in Teenagers for Different Social Dilemmas
Because humans live in societies, they may feel social pressure to conform to majority opinions. This follow-up study explores whether teenagers are likely to change their opinions to match others’, particularly in ambiguous situations.
Read More...Environmental, social, and governance ratings and firm performance: Evidence from the Chinese stock market
Large corporations often are known for their financial power, but what social and environmental power and conscious do they have? The more responsible corporations are in relation to environmental, social, and governance criteria the better they do fiscally.
Read More...Impact of study partner status and group membership on commitment device effectiveness among college students
Here seeking to identify a possible solution to procrastination among college students, the authors used an online experiment that involved the random assignment of study partners that they shared their study time goal with. These partners were classified by status and group membership. The authors found that status and group membership did not significantly affect the likelihood of college students achieving their committed goals, and also suggest the potential of soft commitment devices that take advantage of social relationships to reduce procrastination.
Read More...The Tendency of Teenagers to be Conformists and Follow the Crowd
Social psychologist Solomon Asch designed conformity tests to study how peer pressure from a group can influence an individual's own perception and behavior. In this study, students evaluate conformity behavior in a teenage group.
Read More...Changing electronic use behavior in adolescents while studying: An interventional psychology experiment
Here, the authors investigated the effects of an interventional psychology on the study habits of high school students specifically related to the use of electronic distractions such as social media or texting, listening to music, or watching TV. They reported varying degrees of success between the control and intervention groups, suggesting that the methods of habit-breaking for students merits further study.
Read More...Public Perception of the Effects of Artificial Sweeteners on Diabetes Based on YouTube Comments
Artificial sweeteners are rising in popularity, in part due to the influence of social media platforms like YouTube. However, YouTube commenters often repeat information about artificial sweeteners that is not supported by scientific research. To investigate how misinformation about sweeteners spreads through social media, Kim and Yoo conduct a content analysis of YouTube comments to reveal how many comments repeat misinformation about artificial sweeteners' effects.
Read More...An explainable model for content moderation
The authors looked at the ability of machine learning algorithms to interpret language given their increasing use in moderating content on social media. Using an explainable model they were able to achieve 81% accuracy in detecting fake vs. real news based on language of posts alone.
Read More...