A new study from the Annenberg School for Communication at the University of Pennsylvania investigated the ways that institutions control who has access to Wi-Fi. The findings indicate that powerful institutions and privileged people use quality-of-life policing -- the report and/or arrest of individuals engaged in nonviolent offenses such as loitering, noise violations, and public intoxication -- to keep those with less privilege, including people of color, from accessing resources like the internet.
Disagreement seems to spread online posts faster and further than agreement, according to a new study from the University of Central Florida. The finding comes from an examination of posts labeled controversial on social news aggregation site Reddit. To perform the study, the researchers analyzed a Reddit dataset that was collected by DARPA.
A content recommendation system based on the user's brain model would be ideal for targeted advertising. Creating such a brain model, however, is computationally expensive. In a new study, researchers from Japan propose and validate a machine learning scheme to infer a user's brain model from their profile with high accuracy while optimizing the information collection cost using a feature selection technique, providing hope for its real-world application following further optimizations.
Uber and Lyft are popular on-demand ways to travel, but does that mean trains and buses are a thing of the past? Travelers prefer different modes of transportation at different times. So how can all these modes co-exist and do so successfully? New research in the INFORMS Journal Transportation Science has created a model and an algorithm to redistribute transit resources based on commuter preferences resulting in millions in savings.
New research from the Annenberg School for Communication at the University of Pennsylvania found that social influencers are unlikely to change a person's behavior by example. To stimulate a shift in people's thinking, target small groups of people in the outer edge or fringe of a network.
Implementing algorithms that can simultaneously track multiple objects is essential to unlock many applications, from autonomous driving to advanced public surveillance. However, it is difficult for computers to discriminate between detected objects based on their appearance. Now, researchers at the Gwangju Institute of Science and Technology (GIST) adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.
Vaccine negativity and reluctance is not a recent phenomenon but, to date, little research has been done to explore the dominance of negative vaccine-related information.
What The Study Did: This community-engaged qualitative study describing Black and Latinx participants' experiences during the COVID-19 pandemic found that fear, illness and loss experienced during the pandemic motivated information seeking and mitigation behaviors, while vaccine skepticism was high, as was the demand for clearer information.
A new method of DNA testing on cocoa beans could revolutionise the chocolate industry, offering consumers greater reassurance about the origins and ethics of their beloved confectionery, and giving the global cocoa industry a precision tool to help end slavery and child labour.
What The Study Did: In this randomized clinical trial, a physician messaging campaign was effective in increasing COVID-19 knowledge, information-seeking and self-reported protective behaviors among diverse groups.