Bet365 lotto review Victor Martinez, a scholar at the University of California, USA, and colleagues recently in the journal "Public Science Library · Comprehensive" (PLOS One) Published on the paper，A gender stereotype impression reflected in the character behavior in the movie script。

Film and TV and other media have been deepening gender stereotypes。To deepen the understanding bet365 best casino games of this issue，Some researchers have used the calculation framework to analyze the dialogue of the characters in the script，However, some negative stereotypes are not through language communication，Instead, through behavioral performance。In order to explore how the character behavior reflects gender stereotypes，Martinez and others used machine learning methods to create a calculation model，You can automatically analyze the scene description in the movie script、Identifying the action of different roles。Use this model，Researchers analyzed the 912 movie bet365 live casino games script produced in 1909 to 2013，Including more than 1.2 million scenarios descriptions，50,000 actions made by 20,000 characters。

Based on this，Researchers conduct statistical analysis of this information，Different types of action types found in different gender characters are indeed different，It reflects gender stereotypes。For example，They found，Female characters are more likely to express love，It is more likely to be "gaze" for other characters，This highlights the emphasis on women's appearance; relative，Male characters are unlikely to "weep" or "cry"。

bet365 best casino games Although the model designed by the researchers is limited in capturing social background related to the overall narrative of the script，But these discoveries are consistent with the results of the research on gender stereotypes in the media before，and help attract people's attention，Let people realize that the media may solidify and continue gender stereotypes，thus affecting people's understanding and action in real life。Researchers suggest，It can be improved in the future、Apply a new machine learning framework，Increase gender、Age、race and other cross -concepts。

　　（Practicing Zhi Leisure/Compilation）