Psychology Articles: 10 Most Popular in 2013

So, Dear Reader, this is the 10 most popular articles in PsyBlog in 2013, most people clicked on you:

Use BuzzSumo data collected in 2016 as the most shared post on Facebook, the 10 most popular Twitter tweets of Time, and as the LinkedIn proprietary data, 2016's most popular 10 Pulses It analyzed. Articles They are categorized by the type of story and the type of emotion they evoke. The vast majority of virus article types are written as "scientific" articles, data driven content, strong opinions and political work, and mental heating. Their stories as "opinions" and "hope and inspiration" are corroborated by the data. And also "to provide the ideal stories they want"

After reading and writing many popular articles, I decided to find important elements to drive these articles to the top of the media. First cataloged the most recommended article in January and another control group. Next, analyze each article and provide more than 50 data for each article. After summarizing about 10,000 data points, I looked for the most useful trend. You can see it below. I used the Hemingway editor to find the total number of sentences in each article and compare it to the total number of words. Selecting one word value for each sentence may cause misunderstanding, so compare the given ranges. Then select the optimum length range on average

The most popular research paper on this topic was written by Frey and Osborne in 2013. Researchers at Oxford Martin College found that 47% of American work is very susceptible to the effects of automation. They pointed out that this number only covers the technical possibilities and does not take into account other factors. Based on the same dataset, Arntz et al. Researchers at ZEW Institute (2016) calculated that only 8% of the work is very sensitive to automation. In addition to Frey and Osbourne, they also explained the difference in positions. This means that two employees engaged in the same job may have different job profiles. Therefore, even if they have many common tasks, their personal work can not be automated. Recently, other researchers, like ZEW, discovered that 14% of jobs are in danger.