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A description of an imbalance between high power and low power

See how nearly 800 different movie scripts rank on gender bias here.

But the two princesses actually exert very different levels of power and control over their own destinies, according to new research from University of Washington computer scientists. The team used machine-learning-based tools to analyze the language in nearly 800 movie scripts, quantifying how much power and agency those scripts give to individual characters. In their study, recently presented in Denmark at the 2017 Conference on Empirical Methods in Natural Language Processingthe researchers found subtle but widespread gender bias in the way male and female characters are portrayed.

  • They also created scores based on words that the characters spoke in dialogue and on words that were used in narration or stage direction to describe those characters — exposing subtle differences and biases;
  • The power dimension denotes whether a character has authority over another character, while the agency dimension denotes whether a character has control over his or her own life or storyline.

However, the bias is not just in the words these characters speak, but also in the way they are portrayed through narratives. The study evaluated the power and agency implicit in 2,000 commonly used verbs, where the connotative meanings were obtained from Amazon Mechanical Turk crowdsourcing experiments.

The power dimension denotes whether a character has authority over another character, while the agency dimension denotes whether a character has control over his or her own life or storyline.

  1. The researchers also accounted for the fact that male actors spent more time on screen than female actors and also spoke more, accounting for 71.
  2. For each verb, turkers were asked to rank the implied level of power differentials and agency on a scale of 1 to 3.
  3. For more information, contact the research team at debiasing-ai cs.

For each verb, turkers were asked to rank the implied level of power differentials and agency on a scale of 1 to 3. Men were more likely to use forceful, imperative statements, while women were more likely to hedge their opinions. University of Washington Verbs that imply low power or agency include words like ask, experience, happen, wait, relax, need or apologize.

Verbs that confer high power or agency include words like finish, prepare, betray, construct, destroy, assign or compose. Using the movie scripts, the researchers automatically identified genders of 21,000 characters based on names and descriptions.

New tool quantifies power imbalance between female and male characters in Hollywood movie scripts

They then computed how much agency and power were ascribed to these characters, using their crowdsourced connotation frames. The researchers also accounted for the fact that male actors spent more time on screen than female actors and also spoke more, accounting for 71.

  1. They then computed how much agency and power were ascribed to these characters, using their crowdsourced connotation frames. In the 2010 movie Black Swan, male characters blue bars were written with more control over their own destiny than their female counterparts, specifically in stage directions left chart.
  2. Using the movie scripts, the researchers automatically identified genders of 21,000 characters based on names and descriptions.
  3. But the two princesses actually exert very different levels of power and control over their own destinies, according to new research from University of Washington computer scientists. University of Washington Verbs that imply low power or agency include words like ask, experience, happen, wait, relax, need or apologize.
  4. The power dimension denotes whether a character has authority over another character, while the agency dimension denotes whether a character has control over his or her own life or storyline.
  5. The tendency for male characters to score higher on both power and agency dimensions held true throughout all genres.

The team calculated separate power and agency scores for male and female characters in each movie. They also created scores based on words that the characters spoke in dialogue and on words that were used in narration or stage direction to describe those characters — exposing subtle differences and biases.

  • But the two princesses actually exert very different levels of power and control over their own destinies, according to new research from University of Washington computer scientists;
  • Verbs that confer high power or agency include words like finish, prepare, betray, construct, destroy, assign or compose;
  • However, the bias is not just in the words these characters speak, but also in the way they are portrayed through narratives;
  • But the two princesses actually exert very different levels of power and control over their own destinies, according to new research from University of Washington computer scientists;
  • University of Washington Verbs that imply low power or agency include words like ask, experience, happen, wait, relax, need or apologize;
  • The team used machine-learning-based tools to analyze the language in nearly 800 movie scripts, quantifying how much power and agency those scripts give to individual characters.

But the language used to describe the characters in stage direction and narration gave male characters more power and agency in that film. In the 2010 movie Black Swan, male characters blue bars were written with more control over their own destiny than their female counterparts, specifically in stage directions left chart.

However, the verbs used in dialogue right chart gave more power to female characters red bars. The tendency for male characters to score higher on both power and agency dimensions held true throughout all genres: Interestingly, the team found the same gender bias even for movies with female casting directors or script writers.

  • However, the bias is not just in the words these characters speak, but also in the way they are portrayed through narratives;
  • For more information, contact the research team at debiasing-ai cs;
  • Using the movie scripts, the researchers automatically identified genders of 21,000 characters based on names and descriptions;
  • They then computed how much agency and power were ascribed to these characters, using their crowdsourced connotation frames.

Next steps for the team include broadening the tool to not only identify gender bias in texts but also to correct for it by offering rephrasing suggestions or ways to make language more equal across characters of different genders. For more information, contact the research team at debiasing-ai cs. DGE — 1256082 Share this: