Boosting the popularity of social media posts

Computer scientists created a new algorithm to recommend tags for social media posts which should boost the popularity of the post in question. This algorithm takes into account more kinds of information than previous algorithms with a similar goal. The result is a measurably improved view count for posts which use the tags recommended by this new algorithm. Such research could be useful commercially and for other researchers who study online behavior.

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Image analysis to automatically quantify gender bias in movies

Many commercial films worldwide continue to express womanhood in a stereotypical manner, a recent study using image analysis showed. A research team developed a novel image analysis method for automatically quantifying the degree of gender bias in in films.

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Politics: Being attractive helps, but it isn't everything

The question may be as old as democracy itself: are physically attractive people elected more often than less attractive opponents? Scientists have found out that looking good can at least partly explain success in elections. "However, a candidate's party affiliation still has the biggest impact on a voter's decision," adds one of the researchers.

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Bad behavior between moms driven by stereotypes, judgment

Mothers are often their own toughest critics, but new research shows they judge other mothers just as harshly. According to the results — which build upon previous work identifying seven stereotypes of mothers — ideal and lazy mothers drew the most contempt from both working and stay-at-home mothers. The overworked stay-at-home mom also was near the top of the list.

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Irony and humor keep teenage #gymlads healthy on social media

Teenage boys rely on social media to access a wealth of information about living a healthy lifestyle — but rather than being victims of online harms, such as an unhealthy body image obsession, the majority are able to use humor, irony and banter to navigate social media content.

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Analysis of US labor data suggests 'reskilling' workers for a 'feeling economy'

A study of US labor data suggests AI is already taking 'thinking economy' jobs from humans, and this trend will grow in the future. This will push more people into 'feeling economy' jobs that require things like interpersonal relationship skills and emotional intelligence.

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