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Using technology to address gender bias in film - Google
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role="none"> <a href="../../" target="_self" data-g-nav-link data-g-category="site navigation" data-g-action="home" data-g-label="header" role="menuitem"> About </a> </li> <li class="_-products" role="none"> <a href="../../products/" target="_self" data-g-nav-link data-g-category="site navigation" data-g-action="products" data-g-label="header" role="menuitem"> Products </a> </li> <li class="_-commitments" role="none"> <a href="../../commitments/" target="_self" data-g-nav-link data-g-category="site navigation" data-g-action="commitments" data-g-label="header" role="menuitem"> Commitments </a> </li> </ul> </nav> </div> </header> <main class="static-content-view" data-ui-view="main"> <link href="//fonts.googleapis.com/css?family=Product+Sans:900" rel="stylesheet" type="text/css" nonce="3bT-UsW7ic0mBHx7A2F0NQ"> <link rel="stylesheet" href="/assets-legacy/css/gender-equality-films.min.css?cache=3fa433a" nonce="3bT-UsW7ic0mBHx7A2F0NQ"> <div gef-bootstrap ng-cloak> <div ng-if="gefLoaded == true"> <div gef-directive class="gef-container"> <main data-ng-controller="GefCtrl as gefCtrl"> <div class="gef-intro-hero"> <div class="gef-intro-hero-video"> <video poster="/assets-legacy/gender-equality-films/img/hero-poster.jpg?cache=c25b879" playsinline autoplay muted loop> <source src="/assets-legacy/gender-equality-films/video/hero.mp4?cache=19ee396" type="video/mp4"> </video> <div class="gef-intro-hero-video-fallback-image"></div> </div> <div class="gef-intro-hero-video-overlay"> <div class="gef-intro-hero-video-overlay-inner"> <h1 class="gef-intro-hero-heading">The women missing from the silver screen and the technology used to find them</h1> <a href="#" data-scroll=".gef-yeung-intro"> <svg alt="" class="" xmlns="http://www.w3.org/2000/svg" width="40px" height="40px" viewBox="0 0 24 24"> <path d="M16.59 8.59L12 13.17 7.41 8.59 6 10l6 6 6-6z" fill="currentcolor"/> </svg> </a> </div> </div> </div><div class="gef-content gef-yeung-intro"> <h2 class="gef-standard-title">New research offers hard data on gender disparities in film. How might the characters we see on-screen affect the roles we play in society?</h2> <p>When they were 8 and 10, Kimberly and Rebecca Yeung had to choose who to send to space. The spacecraft the two constructed in their garage only had a payload big enough for one action figure. The sisters decided on Rey, the heroine of the movie <em>Star Wars: The Force Awakens</em>.</p> <p>With Rey in the captain’s seat, the Yeung sisters’ spaceship lifted off. It was powered by a helium-filled balloon and was outfitted with solar panels, GPS, video cameras, and sensors to capture data and relay it back to Earth in real time. Their hope: reach the stratosphere at roughly 40,000 feet. Instead they soared even higher, to 101,000 ft. They had reached beyond their dreams, to the very edge of space.</p> <p>Rey may be a fictional character, but to Rebecca and Kimberly she is a very real role model. “We know that sometimes people have said that things like technology and science were only for boys,” Kimberly says. “But knowing that there are people who are role models for us makes us feel good about our interests and what we like to do.”</p> </div><div class="gef-content gef-quote-section gef-quote-image-right gef-quote-yeung"> <img class="gef-quote-feature-img" src="/assets-legacy/gender-equality-films/img/blockquote-bg-yeung.png?cache=b49a2d5" alt="Kimberly and Rebecca Yeung, Yeungstuff Space Program" width="366" height="291"> <blockquote data-trim-whitespace>We decided to include Rey because she’s a strong female who’s inspirational and she doesn’t give up. Ever.</blockquote> <small>Kimberly and Rebecca Yeung,<br>Yeungstuff Space Program</small> <div gef-audio-player class="gef-audio-player" data-player-src='[{"name":"/assets-legacy/gender-equality-films/audio/yeung.ogg?cache=a4dd34a","type":"audio/ogg"},{"name":"/assets-legacy/gender-equality-films/audio/yeung.mp3?cache=e9e8e08","type":"audio/mp3"}]' data-player-name="yeung_player"> Listen </div></div><div class="gef-space-parallax-scene" data-ng-controller="GefSpaceParallaxCtrl as ctrl"> <img class="gef-space-stars" src="/assets-legacy/gender-equality-films/img/space-illustration-stars.jpg?cache=152f45e" alt="More and more females making their way up into the space."> <img class="gef-space-earth" src="/assets-legacy/gender-equality-films/img/space-illustration-earth.png?cache=774b496" alt="Earth would be a better place with gender equality."> <img class="gef-space-balloon" src="/assets-legacy/gender-equality-films/img/space-illustration-balloon.png?cache=1dbfba1" alt="Helium-filled balloon outfitted with solar panels, GPS, video cameras, and sensors to capture data and relay it back to Earth in real time."> </div><div class="gef-content gef-role-models"> <h2 class="gef-standard-title">Role models on-screen make a difference</h2> <p><em>Star Wars: The Force Awakens</em> is not the only film emboldening girls to embark on new adventures. The sport of archery became suddenly popular with girls in 2012, coinciding with two movies starring female heroines as archers: <em>The Hunger Games</em> and <em>Brave</em>. In a study that examined this correlation, 7 out of 10 girls said that they’d taken up the sport because they were inspired by either Katniss or Merida.</p> <div class="gef-content-flush gef-role-models-image"> <img src="/assets-legacy/gender-equality-films/img/screen-archery.jpg?cache=8dcbb4a" alt="Archery became popular with girls in 2012, coinciding with two movies starring female heroines as archers: The Hunger Games and Brave."> </div> <p>The characters we see on-screen play a significant part in determining the roles we occupy off-screen. <a href="https://services.google.com/fh/files/misc/images-of-computer-science-report.pdf" data-g-category="about us" data-g-action="main" data-g-label="https://services.google.com/fh/files/misc/images-of-computer-science-report.pdf" data-g-href="https://services.google.com/fh/files/misc/images-of-computer-science-report.pdf" target="_blank">In a recent study</a>, only 15% of K-12 students remember seeing women performing computer science tasks "most of the time" in film or TV. This is reflected in real life where women make up only 17% of computer science majors – a steady decline from a peak at 37% in 1984. There are many reasons for this decline, but stronger female representation in programming, coding, and engineering roles on the big screen can help everyone envision women filling those roles in real life. This is an issue Google's Computer Science in Media team has been focused on for years, working with creators and producers to improve the portrayal of these fields in TV and movies.</p> </div><div class="gef-line-graph" data-ng-class="{'gef-section-entered-view': ctrl.sceneEnteredView}" data-ng-controller="GefLineGraphCtrl as ctrl"> <div class="gef-line-graph-wrapper-small"> <svg viewBox="0 0 318 460" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g stroke="none" stroke-width="1" fill="none" fill-rule="evenodd"> <g transform="translate(0.000000, -5.000000)"> <text class="gef-line-graph-title"> <tspan x="0" y="20">% of woman majors, by field</tspan> </text> <path d="M0.5,369.5 L314.5,369.5" stroke="#D7D7D7" stroke-linecap="square" fill="#D8D8D8"></path> <text class="gef-line-graph-x-axis-label"> <tspan x="0" y="352">1970</tspan> </text> <text class="gef-line-graph-x-axis-label"> <tspan x="280.388" y="352">2015</tspan> </text> <text class="gef-line-graph-x-axis-label-active"> <tspan x="104.203125" y="352">1984</tspan> </text> <text class="gef-line-graph-legend-label-active"> <tspan x="19" y="393"> Computer Science</tspan> </text> <text class="gef-line-graph-legend-label"> <tspan x="186" y="393">Physical Sciences</tspan> </text> <rect fill="#FABB05" x="0" y="381" width="14" height="14"></rect> <rect fill="#AFAFAF" x="167" y="381" width="14" height="14"></rect> <rect fill="#D7D7D7" x="0" y="409" width="14" height="14"></rect> <path d="M34.4881653,81 L315.569786,81" class="gef-line-graph-dotted-line"></path> <text class="gef-line-graph-y-axis-label"> <tspan x="0" y="85">45%</tspan> </text> <path d="M34.4881653,131 L320.500437,131" class="gef-line-graph-dotted-line"></path> <text class="gef-line-graph-y-axis-label"> <tspan x="0" y="135">35%</tspan> </text> <path d="M34.4881653,181 L319.500439,181" class="gef-line-graph-dotted-line"></path> <text class="gef-line-graph-y-axis-label"> <tspan x="0" y="185">25%</tspan> 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transform="translate(2.000000, 110.000000)"> <text class="gef-line-graph-y-axis-label"> <tspan x="0" y="23">45%</tspan> </text> <path class="gef-line-graph-dotted-line" d="M53.4881653,18 L1224.55647,18"></path> <text class="gef-line-graph-y-axis-label"> <tspan x="0" y="123">35%</tspan> </text> <path class="gef-line-graph-dotted-line" d="M53.4881653,118 L1224.55647,118"></path> <text class="gef-line-graph-y-axis-label"> <tspan x="0" y="223">25%</tspan> </text> <path class="gef-line-graph-dotted-line" d="M53.4881653,218 L1224.55647,218"></path> <text class="gef-line-graph-y-axis-label"> <tspan x="0" y="323">15%</tspan> </text> <path class="gef-line-graph-dotted-line" d="M53.4881653,318 L1224.55647,318"></path> <text class="gef-line-graph-y-axis-label"> <tspan x="0" y="423">5%</tspan> </text> <path class="gef-line-graph-dotted-line" d="M53.4881653,418 L1224.55647,418"></path> </g> <text class="gef-line-graph-x-axis-label-active"> <tspan x="465" y="630.5">1984</tspan> </text> <text class="gef-line-graph-x-axis-label"> <tspan x="1191.226" y="631">2015</tspan> </text> <text class="gef-line-graph-x-axis-label"> <tspan x="0" y="631">1970</tspan> </text> <path d="M0.5,665.5 L1229.5,665.5" stroke="#D7D7D7" stroke-linecap="square"></path> <text class="gef-line-graph-legend-label-active"> <tspan x="19" y="697"> Computer Science</tspan> </text> <text class="gef-line-graph-legend-label"> <tspan x="186" y="697">Physical Sciences</tspan> </text> <text class="gef-line-graph-legend-label"> <tspan x="347" y="697">Law School</tspan> </text> <text class="gef-line-graph-legend-label"> <tspan x="467" y="697">Medical School</tspan> </text> <a xlink:href="https://nces.ed.gov/programs/digest/2013menu_tables.asp" href="https://nces.ed.gov/programs/digest/2013menu_tables.asp" target="_blank" class="gef-link-uc gef-line-graph-source-link"> <text> <tspan x="1156.9668" y="697">Source</tspan> </text> <path d="M1222.3136,685.485121 C1218.54232,685.485121 1215.48525,688.542194 1215.48525,692.313472 C1215.48525,696.08475 1218.54232,699.142082 1222.3136,699.142082 C1226.08488,699.142082 1229.14195,696.08475 1229.14195,692.313472 C1229.14195,688.542194 1226.08488,685.485121 1222.3136,685.485121 L1222.3136,685.485121 Z M1222.3136,696.447795 L1221.58286,695.717054 L1224.46965,692.830263 L1218.17928,692.830263 L1218.17928,691.796682 L1224.46965,691.796682 L1221.58286,688.909891 L1222.3136,688.179149 L1226.44792,692.313472 L1222.3136,696.447795 L1222.3136,696.447795 Z" id="Imported-Layers-Copy-31" fill="#4285F4" transform="translate(1222.313601, 692.313601) rotate(-45.000000) translate(-1222.313601, -692.313601) "></path> </a> <rect fill="#FABB05" x="0" y="685" width="14" height="14"></rect> <rect fill="#AFAFAF" x="167" y="685" width="14" height="14"></rect> <rect fill="#D7D7D7" x="328" y="685" width="14" height="14"></rect> <rect fill="#EFEFEF" x="448" y="685" width="14" height="14"></rect> <ellipse fill="#FABB05" cx="63.5" cy="450.5" rx="8.5" ry="8.5"></ellipse> <ellipse fill="#EFEFEF" cx="63.5" cy="504.5" rx="8.5" ry="8.5"></ellipse> <ellipse fill="#D7D7D7" cx="63.5" cy="561.5" rx="8.5" ry="8.5"></ellipse> <ellipse class="gef-line-graph-ending-dot" fill="#FABB05" cx="1221.5" cy="409.5" rx="8.5" ry="8.5"></ellipse> <ellipse class="gef-line-graph-ending-dot" fill="#AFAFAF" cx="1221.5" cy="141.5" rx="8.5" ry="8.5"></ellipse> <ellipse class="gef-line-graph-ending-dot" fill="#D7D7D7" cx="1221.5" cy="107.5" rx="8.5" ry="8.5"></ellipse> </g> </g> </g> </svg> </div> </div><div class="gef-content"> <h2 class="gef-standard-title">Not everyone gets to play the hero</h2> <p>Oscar-winning actor Geena Davis noticed that the films her daughter watched lacked female characters. Even the cartoon animals were overwhelmingly male. She wondered if unconscious bias toward women meant people accepted female characters having fewer lines and less screen time than men. So she founded <a href="https://seejane.org/" data-g-category="about us" data-g-action="main" data-g-label="https://seejane.org/" data-g-href="https://seejane.org/" >The Geena Davis Institute on Gender in Media</a> in 2007 and started to collect data on movies. It was a laborious undertaking: a team of researchers began watching films one by one and logged gender-based patterns. Gathering the data was slow, and there were so many movies to examine. Humans could only process so much.</p> </div><div class="gef-content gef-quote-section gef-quote-davis"> <img class="gef-quote-feature-img" src="/assets-legacy/gender-equality-films/img/blockquote-bg-davis.png?cache=5bac5d8" alt="Geena Davis, Academy Award-winning actor, founder and chair of the Geena Davis Institute on Gender in Media" width="387" height="457"> <blockquote data-trim-whitespace>Data helps us understand what it is we need to encourage creators to do. Small things can have a huge impact.</blockquote> <small>Geena Davis,<br>Academy Award-winning actor, founder and chair of the Geena Davis Institute on Gender in Media</small> <div gef-audio-player class="gef-audio-player" data-player-src='[{"name":"/assets-legacy/gender-equality-films/audio/davis.ogg?cache=839c9d4","type":"audio/ogg"},{"name":"/assets-legacy/gender-equality-films/audio/davis.mp3?cache=0aff10d","type":"audio/mp3"}]' data-player-name="davis_player"> Listen </div></div><div class="gef-content"> <h2 class="gef-standard-title">Using technology to identify<br>gender bias</h2> <p>Enter machine learning: an emerging technology that makes it possible to understand huge amounts of complex data.</p> <p>With support from <a href="https://www.google.org/global-giving/global-impact-awards/gdigm/" data-g-category="about us" data-g-action="main" data-g-label="https://www.google.org/global-giving/global-impact-awards/gdigm/" data-g-href="https://www.google.org/global-giving/global-impact-awards/gdigm/" >Google.org</a>, the Geena Davis Institute on Gender in Media teamed up with Google machine learning engineer Hartwig Adam and <a href="https://viterbischool.usc.edu/" data-g-category="about us" data-g-action="main" data-g-label="https://viterbischool.usc.edu/" data-g-href="https://viterbischool.usc.edu/" target="_blank">USC’s Viterbi School of Engineering’s</a> Dr. Shri Narayanan, the Niki & C. L. Max Nikias Chair in Engineering, and his SAIL Laboratory, to develop software that accurately measures how often we see and hear women on-screen. “Media arts are an amazing source of information that can provide insights into who we are as society,” says Dr. Narayanan.</p> </div><div class="gef-content gef-quote-section gef-quote-image-right gef-quote-adam"> <img class="gef-quote-feature-img" src="/assets-legacy/gender-equality-films/img/blockquote-bg-adam.png?cache=dce00f6" alt="Hartwig Adam, Machine Learning Engineer at Google" width="431" height="431"> <blockquote data-trim-whitespace class="gef-quote-quote">We need to engage with people in different fields… and work together on addressing specific problems using machine intelligence.</blockquote> <small>Hartwig Adam<br>Machine Learning Engineer at Google</small> <div gef-audio-player class="gef-audio-player" data-player-src='[{"name":"/assets-legacy/gender-equality-films/audio/adam.ogg?cache=faf54e0","type":"audio/ogg"},{"name":"/assets-legacy/gender-equality-films/audio/adam.mp3?cache=df9736e","type":"audio/mp3"}]' data-player-name="adam_player"> Listen </div></div><div class="gef-content gef-gdiq-hero"> <h2 class="gef-standard-title">The GD-IQ and how it works</h2> <p>Dubbed the Geena Davis Inclusion Quotient (GD-IQ), the tool not only can identify a character’s gender, but it knew to a fraction of a second how long each actor spoke, and were on-screen. “This was revolutionary,” says Davis. “No one’s been able to do that before with any accuracy.” And GD-IQ works fast; what once took months to measure can now be quantified in real time.</p> <p>GD-IQ uses machine learning to recognize patterns the casual movie viewer might overlook. To do this, the engineers didn't provide the computer with a template or a set of hand crafted rules; Instead the machines were programmed to "learn" from examples that were annotated with the correct answer. This automated process ensures that the technology improves its own understanding over time. The tool learned to detect different characters on-screen, determine their gender, and calculate how often and for how long they spoke in relation to one another.</p> <p>The team used this software to analyze the 100 highest grossing (US domestic) live-action films according to <a href="http://www.the-numbers.com/market/2016/top-grossing-movies" data-g-category="about us" data-g-action="main" data-g-label="http://www.the-numbers.com/market/2016/top-grossing-movies" data-g-href="http://www.the-numbers.com/market/2016/top-grossing-movies" target="_blank">The Numbers</a> from the years 2014, 2015, and 2016.</p> </div> <div class="gef-gdiq-hero-video"> <video poster="/assets-legacy/gender-equality-films/img/gdiq-hero-poster.jpg?cache=9f96432" playsinline autoplay muted loop> <source src="/assets-legacy/gender-equality-films/video/gdiq-hero.mp4?cache=5b9e45c" type="video/mp4"> </video> <div class="gef-gdiq-hero-video-fallback-image"><img src="/assets-legacy/gender-equality-films/img/gdiq-hero-poster.jpg?cache=9f96432" alt="The GD-IQ and how it works"></div> </div><div class="gef-content gef-infographic-intro"> <h2 class="gef-standard-title">So what does a computer see when it watches a movie?</h2> </div> <div class="gef-infographic-intro-hero"><img src="/assets-legacy/gender-equality-films/img/computer-theater.jpg?cache=0470c27" alt="Men are seen and heard nearly twice as often as women in movies."> </div><div class="gef-seen-and-heard" data-ng-class="{'gef-section-entered-view': ctrl.sceneEnteredView}" data-ng-controller="GefSeenAndHeardCtrl as ctrl"> <h2 class="gef-standard-title">Men are <span class="gef-color-yellow">seen</span> and <span class="gef-color-yellow">heard</span> nearly twice as often as women</h2> <div class="gef-donut-graph-container gef-donut-graph-container-mobile"> <div class="gef-donut-graph gef-donut-graph-female-screen-and-speaking-time"> <svg viewBox="0 0 400 400" xmlns="http://www.w3.org/2000/svg"> <g transform="rotate(-90)"> <circle class="gef-donut-graph-bg" r="150" cy="200" cx="-200" stroke-width="90" /> <circle class="gef-donut-graph-percentage-bar" r="150" cy="200" cx="-200" stroke-width="90" /> </g> <text class="gef-donut-graph-percentage-text" x="130" y="230"> <tspan>35</tspan><tspan x="236" class="gef-donut-graph-percentage-text-modulo">%</tspan> </text> </svg> <em>Female on-screen time<br>& Female speaking time</em> </div> </div> <div class="gef-donut-graph-container gef-donut-graph-container-laptop"> <div class="gef-donut-graph gef-donut-graph-female-on-screen-time"> <svg viewBox="0 0 400 400" xmlns="http://www.w3.org/2000/svg"> <g transform="rotate(-90)"> <circle class="gef-donut-graph-bg" r="150" cy="200" cx="-200" stroke-width="90" /> <circle class="gef-donut-graph-percentage-bar" r="150" cy="200" cx="-200" stroke-width="90" /> </g> <text class="gef-donut-graph-percentage-text" x="130" y="230"> <tspan>36</tspan><tspan x="236" class="gef-donut-graph-percentage-text-modulo">%</tspan> </text> </svg> <em>Female on-screen time</em> </div> <div class="gef-donut-graph gef-donut-graph-female-speaking-time"> <svg viewBox="0 0 400 400" xmlns="http://www.w3.org/2000/svg"> <g transform="rotate(-90)"> <circle class="gef-donut-graph-bg" r="150" cy="200" cx="-200" stroke-width="90" /> <circle class="gef-donut-graph-percentage-bar" r="150" cy="200" cx="-200" stroke-width="90" /> </g> <text class="gef-donut-graph-percentage-text" x="130" y="230"> <tspan>35</tspan><tspan x="236" class="gef-donut-graph-percentage-text-modulo">%</tspan> </text> </svg> <em>Female speaking time</em> </div> </div> <div class="gef-sm-trigger"></div> <div class="gef-footer-notes"> <p><sup>*</sup> 2014-2016 average of on-screen and speaking time for 100 highest grossing (US domestic) films.</p> </div> </div><article class="gef-presence" data-ng-class="{'gef-section-entered-view': ctrl.sceneEnteredView}" data-ng-controller="GefPresenceCtrl as ctrl"> <section class="gef-presence-content"> <h2 class="gef-standard-title">Women are seen on-screen more than men only in one film genre: <span class="gef-color-red">horror</span></h2> <ul class="gef-presence-nav"> <li class="gef-presence-nav-item" data-ng-class="{'gef-presence-nav-item-active': ctrl.isActive('onscreen')}"> <a href data-ng-click="ctrl.setActive('onscreen')">Female on-screen time</a> </li> <li class="gef-presence-nav-item" data-ng-class="{'gef-presence-nav-item-active': ctrl.isActive('speaking')}"> <a href data-ng-click="ctrl.setActive('speaking')">Female speaking time</a> </li> </ul> </section> <section class="gef-presence-data"> <div class="gef-presence-bar"> <div class="gef-width gef-animate-width" data-gef-width="ctrl.getActiveSection('Horror')"> <span class="gef-animate-opacity gef-presence-title" data-ng-show="ctrl.sceneEnteredView">Horror</span> <span class="gef-animate-opacity gef-presence-value" data-ng-show="ctrl.sceneEnteredView" data-gef-number-counter="ctrl.getActiveSection('Horror')"><!----></span> </div> </div> <div class="gef-presence-bar"> <div class="gef-width gef-animate-width" data-gef-width="ctrl.getActiveSection('Romance')"> <span class="gef-animate-opacity gef-presence-title" data-ng-show="ctrl.sceneEnteredView">Romance</span> <span class="gef-animate-opacity gef-presence-value" data-ng-show="ctrl.sceneEnteredView" data-gef-number-counter="ctrl.getActiveSection('Romance')"><!----></span> </div> </div> <div class="gef-presence-bar"> <div class="gef-width gef-animate-width" data-gef-width="ctrl.getActiveSection('Comedy')"> <span class="gef-animate-opacity gef-presence-title" data-ng-show="ctrl.sceneEnteredView">Comedy</span> <span class="gef-animate-opacity gef-presence-value" data-ng-show="ctrl.sceneEnteredView" data-gef-number-counter="ctrl.getActiveSection('Comedy')"><!----></span> </div> </div> <div class="gef-presence-bar"> <div class="gef-width gef-animate-width" data-gef-width="ctrl.getActiveSection('Sci-Fi')"> <span class="gef-animate-opacity gef-presence-title" data-ng-show="ctrl.sceneEnteredView">Sci-Fi</span> <span class="gef-animate-opacity gef-presence-value" data-ng-show="ctrl.sceneEnteredView" data-gef-number-counter="ctrl.getActiveSection('Sci-Fi')"><!----></span> </div> </div> <div class="gef-presence-bar"> <div class="gef-width gef-animate-width" data-gef-width="ctrl.getActiveSection('Drama')"> <span class="gef-animate-opacity gef-presence-title" data-ng-show="ctrl.sceneEnteredView">Drama</span> <span class="gef-animate-opacity gef-presence-value" data-ng-show="ctrl.sceneEnteredView" data-gef-number-counter="ctrl.getActiveSection('Drama')"><!----></span> </div> </div> <div class="gef-presence-bar"> <div class="gef-width gef-animate-width" data-gef-width="ctrl.getActiveSection('Action')"> <span class="gef-animate-opacity gef-presence-title" data-ng-show="ctrl.sceneEnteredView">Action</span> <span class="gef-animate-opacity gef-presence-value" data-ng-show="ctrl.sceneEnteredView" data-gef-number-counter="ctrl.getActiveSection('Action')"><!----></span> </div> </div> <div class="gef-presence-bar"> <div class="gef-width gef-animate-width" data-gef-width="ctrl.getActiveSection('Biography')"> <span class="gef-animate-opacity gef-presence-title" data-ng-show="ctrl.sceneEnteredView">Biography</span> <span class="gef-animate-opacity gef-presence-value" data-ng-show="ctrl.sceneEnteredView" data-gef-number-counter="ctrl.getActiveSection('Biography')"><!----></span> </div> </div> <div class="gef-presence-bar"> <div class="gef-width gef-animate-width" data-gef-width="ctrl.getActiveSection('Crime')"> <span class="gef-animate-opacity gef-presence-title" data-ng-show="ctrl.sceneEnteredView">Crime</span> <span class="gef-animate-opacity gef-presence-value" data-ng-show="ctrl.sceneEnteredView" data-gef-number-counter="ctrl.getActiveSection('Crime')"><!----></span> </div> </div> </section> <div class="gef-sm-trigger"></div> <div class="gef-footer-notes"> <p><sup>*</sup> 2014-2016 combine average on-screen and speaking time for 100 highest grossing (US domestic) films.</p> </div> </article><article class="gef-film-ratings" data-ng-class="{'gef-section-entered-view': ctrl.sceneEnteredView}" data-ng-controller="GefFilmRatingsCtrl as ctrl"> <h2 class="gef-standard-title"><span class="gef-color-blue">Women are underrepresented in all ratings categories</span> included in the 100 highest grossing films of the past three years</h2> <ul class="gef-film-ratings-list"> <li> <div class="gef-height" data-gef-height="ctrl.getHeight('pg')"> <p data-gef-number-counter="ctrl.pg"></p> </div> <small>PG</small> </li> <li> <div class="gef-height" data-gef-height="ctrl.getHeight('pg13')"> <p data-gef-number-counter="ctrl.pg13"></p> </div> <small>PG-13</small> </li> <li> <div class="gef-height" data-gef-height="ctrl.getHeight('r')"> <p data-gef-number-counter="ctrl.r"></p> </div> <small>R</small> </li> </ul> <div class="gef-sm-trigger"></div> <div class="gef-footer-notes"> <p><sup>*</sup> 2014-2016 combined average of female on-screen time for categories within 100 highest grossing (US domestic) films.</p> </div> </article><article class="gef-oscar-winning" data-ng-class="{'gef-section-entered-view': ctrl.sceneEnteredView}" data-ng-controller="GefOscarWinningCtrl as ctrl"> <section class="gef-oscar-winning-content"> <h2 class="gef-standard-title">Women are barely seen in <span class="gef-color-yellow">Academy Award-winning films</span></h2> <ul class="gef-oscar-winning-nav"> <li class="gef-oscar-winning-nav-item" data-ng-class="{'gef-oscar-winning-nav-item-active': ctrl.isActive('onscreen')}"> <a href data-ng-click="ctrl.setActive('onscreen')">Female screen-time</a> </li> <li class="gef-oscar-winning-nav-item" data-ng-class="{'gef-oscar-winning-nav-item-active': ctrl.isActive('speaking')}"> <a href data-ng-click="ctrl.setActive('speaking')">Female speaking time</a> </li> </ul> </section> <section class="gef-oscar-winning-data gef-oscar-winning-data-mobile"> <div class="gef-oscar-winning-statistic"> <div class="gef-oscar-winning-statistic-laurel-left"> <svg width="106px" height="331px" viewBox="0 0 106 331" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <path d="M87.3407023,20.3663095 C81.2287345,26.5493835 74.7999493,35.6509695 67.8520893,31.4225243 C61.3711596,27.5543503 69.3366275,16.5439594 75.9344873,9.89948556 C82.3735434,2.97137723 98.3052693,-1.90097356 100.28439,0.719682767 C101.727055,2.64191878 93.1500741,14.11924 87.3407023,20.3663095 Z M74.4167662,54.2144127 C69.4788398,57.9909389 63.8140505,64.1084372 57.3418116,58.3361987 C51.4076091,52.9732155 58.8334604,45.8215179 64.1616805,41.7708381 C69.4867404,37.5076299 81.1678992,36.4655299 83.0458914,39.3295272 C84.4672242,41.515646 79.219591,50.3636201 74.4167662,54.2144127 Z M57.7044529,34.1403591 C55.668447,42.0931859 54.8941802,52.2826959 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</div> <div class="gef-oscar-winning-statistic-laurel-right"> <svg width="106px" height="331px" viewBox="0 0 106 331" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <path d="M18.3852807,20.3663095 C24.4972486,26.5493835 30.9260338,35.6509695 37.8738938,31.4225243 C44.3548235,27.5543503 36.3893556,16.5439594 29.7914958,9.89948556 C23.3524397,2.97137723 7.42071378,-1.90097356 5.44159286,0.719682767 C3.99892827,2.64191878 12.575909,14.11924 18.3852807,20.3663095 Z M31.3092169,54.2144127 C26.5063921,50.3636201 21.2587589,41.515646 22.6800916,39.3295272 C24.5580838,36.4655299 36.2392426,37.5076299 41.5643025,41.7708381 C46.8925227,45.8215179 54.318374,52.9732155 48.3841715,58.3361987 C41.9119325,64.1084372 36.2471433,57.9909389 31.3092169,54.2144127 Z M48.0215302,34.1403591 C46.2217547,26.3408055 47.5024553,13.5725128 50.0820281,12.8630315 C53.5219852,11.9552431 62.0634129,22.9853857 63.8884705,31.3893415 C65.9853116,39.7798661 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class="gef-oscar-winning-statistic-text"> <div>Women made up</div> <div class="gef-oscar-winning-statistic-text-percentage" data-gef-number-counter="ctrl.percentages.onscreen" data-gef-number-counter-duration=".5"><!----></div> <div>of screen-time</div> <div class="gef-oscar-winning-statistic-text-small">in Academy Award winning films</div> </div> <div class="gef-oscar-winning-statistic-laurel-right"> <svg width="106px" height="331px" viewBox="0 0 106 331" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <path d="M18.3852807,20.3663095 C24.4972486,26.5493835 30.9260338,35.6509695 37.8738938,31.4225243 C44.3548235,27.5543503 36.3893556,16.5439594 29.7914958,9.89948556 C23.3524397,2.97137723 7.42071378,-1.90097356 5.44159286,0.719682767 C3.99892827,2.64191878 12.575909,14.11924 18.3852807,20.3663095 Z M31.3092169,54.2144127 C26.5063921,50.3636201 21.2587589,41.515646 22.6800916,39.3295272 C24.5580838,36.4655299 36.2392426,37.5076299 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M16.8184219,159.069898 C19.7890784,166.410422 25.0280209,174.892595 17.8083774,179.727022 C11.1955062,184.337861 5.46119102,173.506815 2.30644857,165.758616 C-1.05608183,158.118656 -0.588361436,144.84472 2.71254364,143.671468 C5.21626987,142.800023 13.7537472,151.964815 16.8184219,159.069898 Z M44.9906749,194.457845 C44.0418029,200.403898 44.1666337,208.566883 35.5153866,208.955597 C27.5356974,209.251082 27.9662846,199.197464 28.9957435,192.827934 C29.8829901,186.291699 37.5340109,177.784245 40.8728393,178.471604 C43.4200192,178.989099 45.7981246,188.523642 44.9906749,194.457845 Z M19.0637958,191.950958 C23.1089451,198.766877 29.5764437,206.383924 23.1792612,212.281784 C17.3461874,217.865196 10.0214649,207.983023 5.73218442,200.787081 C1.25012734,193.724661 -0.289715644,180.523411 2.79708094,178.864268 C5.14042332,177.62149 14.9609714,185.379961 19.0637958,191.950958 Z M52.3193478,222.788111 C52.3027564,228.847935 53.710658,236.963515 45.2142642,238.662162 C37.3633562,240.164872 36.214597,230.086762 36.2517302,223.597141 C36.1182086,216.961358 42.3810795,207.350968 45.7870637,207.525573 C48.3832279,207.650404 52.194517,216.7591 52.3193478,222.788111 Z M26.2960804,224.235516 C31.3454064,230.394888 38.9308515,236.998278 33.5331054,243.84659 C28.641793,250.294337 19.8356924,241.554602 14.48061,235.04839 C8.94934226,228.699402 5.40904652,215.82445 8.20825826,213.710227 C10.335912,212.11982 21.2254225,218.325016 26.2960804,224.235516 Z M64.0526511,249.918264 C65.0110039,255.970187 67.7470102,263.87482 59.6006166,266.851007 C52.0586253,269.533288 49.2704745,259.632943 48.2702481,253.152804 C47.0709245,246.548623 51.753659,236.022544 55.1509524,235.680445 C57.7368457,235.410241 62.951296,243.914536 64.0526511,249.918264 Z M38.5152757,255.293888 C44.4968822,260.675833 53.0920345,266.131254 48.8699099,273.792546 C45.0823228,280.975846 34.9015036,273.558686 28.5525152,267.872565 C22.0431431,262.364999 16.5063449,250.067587 18.9476557,247.538579 C20.8019459,245.631354 32.5471002,250.162395 38.5152757,255.293888 Z M80.1913749,275.292096 C82.1697058,281.211287 86.2741102,288.733526 78.675234,292.932739 C71.6215048,296.744028 67.1339172,287.231607 65.0512974,280.893679 C62.7419279,274.458574 65.6501691,263.227754 68.9645053,262.37527 C71.4824528,261.714773 78.0676715,269.44006 80.1913749,275.292096 Z M55.7205916,284.498761 C62.5641626,288.990299 72.0599927,293.17766 69.1896748,301.492338 C66.6661968,309.261869 55.2196883,303.333197 47.9471102,298.588047 C40.5315298,294.041205 33.0029696,282.572574 35.0129032,279.679344 C36.5377349,277.492436 48.9267948,280.253724 55.7205916,284.498761 Z M100.733939,298.355767 C103.777282,304.010286 109.293538,310.976317 102.437326,316.314808 C96.0512046,321.183209 89.8049252,312.27677 86.595668,306.220107 C83.1320089,300.097078 84.0729801,288.396957 87.2277226,287.049101 C89.617679,286.010951 97.5444336,292.785786 100.733939,298.355767 Z M56.4055807,309.459386 C57.5448591,307.039407 70.3645062,307.963787 77.9136082,311.222029 C85.5480375,314.718871 95.8331458,317.531513 94.4931901,326.317862 C93.3949952,334.504549 80.7902466,330.216849 72.665975,326.52486 C64.4129222,323.04777 54.8989206,312.658373 56.4055807,309.459386 Z"></path> </svg> </div> <div class="gef-oscar-winning-statistic-text"> <div>Women made up</div> <div class="gef-oscar-winning-statistic-text-percentage" data-gef-number-counter="ctrl.percentages.speaking" data-gef-number-counter-duration=".5"><!----></div> <div>of speaking time</div> <div class="gef-oscar-winning-statistic-text-small">in Academy Award winning films</div> </div> <div class="gef-oscar-winning-statistic-laurel-right"> <svg width="106px" height="331px" viewBox="0 0 106 331" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <path d="M18.3852807,20.3663095 C24.4972486,26.5493835 30.9260338,35.6509695 37.8738938,31.4225243 C44.3548235,27.5543503 36.3893556,16.5439594 29.7914958,9.89948556 C23.3524397,2.97137723 7.42071378,-1.90097356 5.44159286,0.719682767 C3.99892827,2.64191878 12.575909,14.11924 18.3852807,20.3663095 Z M31.3092169,54.2144127 C26.5063921,50.3636201 21.2587589,41.515646 22.6800916,39.3295272 C24.5580838,36.4655299 36.2392426,37.5076299 41.5643025,41.7708381 C46.8925227,45.8215179 54.318374,52.9732155 48.3841715,58.3361987 C41.9119325,64.1084372 36.2471433,57.9909389 31.3092169,54.2144127 Z M48.0215302,34.1403591 C46.2217547,26.3408055 47.5024553,13.5725128 50.0820281,12.8630315 C53.5219852,11.9552431 62.0634129,22.9853857 63.8884705,31.3893415 C65.9853116,39.7798661 67.6879086,52.1989487 59.5715377,52.157075 C50.8318029,52.2826959 50.057536,42.0931859 48.0215302,34.1403591 Z M46.0036959,80.2250391 C50.2329312,84.6304595 54.8240177,91.444008 62.1250382,86.7691742 C68.8279771,82.4119479 62.6812462,74.3358705 58.1233426,69.6096823 C53.5970417,64.674126 42.334619,61.9602417 40.0141886,64.4718686 C38.2491762,66.3885741 41.9111425,75.7619436 46.0036959,80.2250391 Z 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79.8352077,135.81661 76.9522487,130.046742 C74.1569873,124.080937 64.3127371,118.243122 61.3333898,119.906216 C59.0587834,121.173485 59.6394835,131.008255 62.1787628,136.413112 Z M86.1660244,126.219651 C88.1206532,118.715583 95.1641115,108.320655 97.7713367,108.804177 C101.216034,109.467835 103.693688,122.562425 101.521001,130.633762 C99.5734823,138.786477 95.5362337,150.358606 88.3055292,146.808829 C80.44119,143.131852 84.3409668,133.945729 86.1660244,126.219651 Z M63.6593507,165.481302 C65.4946792,171.199816 66.6126258,179.250611 75.2212092,178.322281 C83.1511241,177.405012 81.2012357,167.572613 79.2229048,161.444053 C77.3591338,155.132988 68.5151101,147.891223 65.318494,149.077905 C62.8779732,149.978583 61.9638643,159.756468 63.6593507,165.481302 Z M88.9075612,159.069898 C91.9722359,151.964815 100.509713,142.800023 103.013439,143.671468 C106.314344,144.84472 106.782065,158.118656 103.419534,165.758616 C100.264792,173.506815 94.5304768,184.337861 87.9176057,179.727022 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34.1044783,296.744028 27.0507491,292.932739 C19.4518728,288.733526 23.5562773,281.211287 25.5346081,275.292096 Z M50.0053915,284.498761 C56.7991882,280.253724 69.1882482,277.492436 70.7130799,279.679344 C72.7230135,282.572574 65.1944533,294.041205 57.7788728,298.588047 C50.5062948,303.333197 39.0597862,309.261869 36.5363083,301.492338 C33.6659904,293.17766 43.1618205,288.990299 50.0053915,284.498761 Z M4.99204404,298.355767 C8.18154949,292.785786 16.1083041,286.010951 18.4982605,287.049101 C21.6530029,288.396957 22.5939742,300.097078 19.1303151,306.220107 C15.9210579,312.27677 9.67477845,321.183209 3.28865693,316.314808 C-3.56755519,310.976317 1.94870121,304.010286 4.99204404,298.355767 Z M49.3204023,309.459386 C50.8270625,312.658373 41.3130608,323.04777 33.0600081,326.52486 C24.9357364,330.216849 12.3309878,334.504549 11.232793,326.317862 C9.89283728,317.531513 20.1779455,314.718871 27.8123749,311.222029 C35.3614768,307.963787 48.181124,307.039407 49.3204023,309.459386 Z"></path> </svg> </div> </div> </section> <div class="gef-sm-trigger"></div> <div class="gef-footer-notes"> <p><sup>*</sup> 2015 average on-screen time and speaking time for Oscar-winning films (all categories).</p> </div> </article><div class="gef-content"> <h2 class="gef-standard-title">How can this technology change things?</h2> <p>The Geena Davis Institute on Gender in Media unveiled preliminary GD-IQ findings to producers, executives, screenwriters, and actors last year. The numbers were sobering reminders of the power of unconscious bias. “Over the past decade, we’ve developed meaningful relationships with many motion picture studios who genuinely want to improve gender balance in their movies,” says Madeline Di Nonno, CEO of the Geena Davis Institute. “Many of them are very interested in using the GD-IQ to analyze other content, like television.”</p> <p>For those filmmakers dedicated to putting women at the heart of the story, there is good news.</p> </div> <article class="gef-film-earnings" data-ng-class="{'gef-section-entered-view': ctrl.sceneEnteredView}" data-ng-controller="GefFilmEarningsCtrl as ctrl"> <h2 class="gef-standard-title">Female-led films do better at the box office, <span class="gef-color-green">earning 16% more than male-led films</span></h2> <ul class="gef-film-earnings-list"> <li> <p class="gef-film-earnings-female-led" data-gef-number-counter="ctrl.female" data-gef-number-counter-duration="2.5" data-gef-number-counter-format="currency"></p> <small>Average earnings for female-led films</small> </li> <li> <p class="gef-film-earnings-male-led" data-gef-number-counter="ctrl.male" data-gef-number-counter-duration="2.105" data-gef-number-counter-format="currency"></p> <small>Average earnings for male-led films</small> </li> </ul> <div class="gef-sm-trigger"></div> <div class="gef-footer-notes"> <p><sup>*</sup> 2014-2016 average earnings for 100 highest grossing (US domestic) films in a study by <a href="https://seejane.org/research-informs-empowers/data/" data-g-category="about us" data-g-action="main" data-g-label="https://seejane.org/research-informs-empowers/data/" data-g-href="https://seejane.org/research-informs-empowers/data/" target="_blank">GDI</a>.</p> </div> </article><div class="gef-content"> <p>This is reflected in films like <em>Hidden Figures</em>, which recently became the top-grossing Best Picture Academy Award nominee of the year, showing that movies centered around women resonate with audiences.</p> <p>Actor Kerry Bishé, star of <em>Halt and Catch Fire</em>, believes that diversity in film is mutually beneficial for studios and audiences. “What the GD-IQ does is explains how much bigger an audience your story could have, if you reach out to different groups of people,” she says. “I think of it as an opportunity.”</p> </div> <div class="gef-content gef-quote-section gef-quote-bishe"> <img class="gef-quote-feature-img" src="/assets-legacy/gender-equality-films/img/blockquote-bg-bishe.png?cache=bc36b2c" alt="Kerry Bishe, Actor" width="436" height="436"> <blockquote data-trim-whitespace>I think what the tool does is it explains how much bigger an audience your story could have, if you reach out to different kinds of groups of people.</blockquote> <small>Kerry Bishe,<br>Actor</small> <div gef-audio-player class="gef-audio-player" data-player-src='[{"name":"/assets-legacy/gender-equality-films/audio/bishe.ogg?cache=3e90d89","type":"audio/ogg"},{"name":"/assets-legacy/gender-equality-films/audio/bishe.mp3?cache=8075ca0","type":"audio/mp3"}]' data-player-name="bishe_player"> Listen </div></div> <div class="gef-content gef-conclusion"> <h2 class="gef-standard-title">So where do we go from here?</h2> <p>A <a href="https://seejane.org/about-us/" data-g-category="about us" data-g-action="main" data-g-label="https://seejane.org/about-us/" data-g-href="https://seejane.org/about-us/" target="_blank">survey</a> that followed a presentation of GD-IQ findings found that 68% of filmmakers reconfigured two or more of their projects after hearing the numbers, and 41% percent stated that it had impacted four or more of their movies. “We'll see some major improvement in both the number and quality of female characters within the next five to ten years,” Davis predicts.</p> <p>Surfacing gender imbalance with on-screen time and speaking time is just the beginning. “We’re interested in furthering our understanding of other variables in films, such as a character’s dimensionality, profession, and age,” says Adam. The hope is to raise awareness of the blind spots in media and encourage storytellers to include a broader range of characters.</p> <p>“It has been proven to us that data is the most incredibly powerful tool for uncovering unconscious bias, and for convincing people that it’s there, and you can do something about it,” says Davis. As unconscious gender bias begins to be recognized and addressed, the new characters shaped by this understanding will undoubtedly impact the way everyone – men and women – perceive the roles women occupy in society.</p> <ul class="gef-conclusion-link-list"> <li> <a href="/assets-legacy/pdf/Our-Methodology-GDIQ.pdf?cache=b54c6dd" data-g-category="about us" data-g-action="main" data-g-label="pdf/Our-Methodology-GDIQ.pdf" data-g-href="pdf/Our-Methodology-GDIQ.pdf" target="_blank" class="gef-link-uc gef-icon-download">Methodology & Embedded Study (PDF) <svg alt="" class="" xmlns="http://www.w3.org/2000/svg" width="24px" height="24px" viewBox="0 0 24 24" fill=""> <path d="M19 9h-4V3H9v6H5l7 7 7-7zM5 18v2h14v-2H5z"/> <path d="M0 0h24v24H0z" fill="none"/> </svg> </a> </li> <li> <div class="share-widget-container gef-link-uc share-widget-orient-left"> <div class="share-widget" data-ng-controller="ShareCtrl as shareCtrl" data-ng-class="{'share-widget-open':shareCtrl.isOpen}"> <ul 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