{"id":458,"date":"2021-02-04T17:28:40","date_gmt":"2021-02-04T17:28:40","guid":{"rendered":"http:\/\/rv444.georgetown.domains\/?page_id=458"},"modified":"2021-02-05T17:09:59","modified_gmt":"2021-02-05T17:09:59","slug":"a-big-data-approach-to-contemporary-french-politics","status":"publish","type":"page","link":"http:\/\/rv444.georgetown.domains\/","title":{"rendered":"A Big-Data Approach to Contemporary French Politics"},"content":{"rendered":"\n<section class=\"wp-block-themeisle-blocks-advanced-columns alignfull has-1-columns has-desktop-equal-layout has-tablet-equal-layout has-mobile-equal-layout has-nogap-gap has-vertical-flex-start\" id=\"wp-block-themeisle-blocks-advanced-columns-c9797d22\"><div class=\"wp-block-themeisle-blocks-advanced-columns-overlay\"><\/div><div class=\"innerblocks-wrap\">\n<div class=\"wp-block-themeisle-blocks-advanced-column\" id=\"wp-block-themeisle-blocks-advanced-column-4beba05f\">\n<section class=\"wp-block-themeisle-blocks-advanced-columns has-1-columns has-desktop-equal-layout has-tablet-equal-layout has-mobile-equal-layout has-nogap-gap has-vertical-center\" id=\"wp-block-themeisle-blocks-advanced-columns-8e618040\"><div class=\"wp-block-themeisle-blocks-advanced-columns-overlay\"><\/div><div class=\"innerblocks-wrap\">\n<div class=\"wp-block-themeisle-blocks-advanced-column\" id=\"wp-block-themeisle-blocks-advanced-column-f20f25d9\">\n<h2 id=\"wp-block-themeisle-blocks-advanced-heading-17e9d0e2\" class=\"wp-block-themeisle-blocks-advanced-heading wp-block-themeisle-blocks-advanced-heading-17e9d0e2\"><strong>Using social media data to reveal elements of French political discourse<\/strong><\/h2>\n<\/div>\n<\/div><\/section>\n\n\n\n<section class=\"wp-block-themeisle-blocks-advanced-columns has-3-columns has-desktop-equal-layout has-tablet-equal-layout has-mobile-collapsedRows-layout has-nogap-gap has-vertical-flex-start\" id=\"wp-block-themeisle-blocks-advanced-columns-d68c0b9d\"><div class=\"wp-block-themeisle-blocks-advanced-columns-overlay\"><\/div><div class=\"innerblocks-wrap\">\n<div class=\"wp-block-themeisle-blocks-advanced-column\" id=\"wp-block-themeisle-blocks-advanced-column-b92e7659\">\n<div class=\"alignwide wp-block-ugb-icon ugb-icon ugb-f143ce5 ugb-icon--v2 ugb-icon--design-basic ugb-main-block\"><style>.ugb-f143ce5 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-f143ce5 .ugb-icon__icon .ugb-icon-inner-svg svg{width:60px !important;height:60px !important}.ugb-f143ce5 .ugb-icon__icon .ugb-icon-inner-svg{color:var(--stk-global-color-71449,#ffffff) !important;transform:rotate(350deg) !important}.ugb-f143ce5 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-f143ce5 .ugb-icon__icon .ugb-icon-inner-svg svg *{color:var(--stk-global-color-71449,#ffffff) !important;fill:var(--stk-global-color-71449,#ffffff) !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-icon__content-wrapper\"><div class=\"ugb-icon__item ugb-icon__item1\"><div class=\"ugb-icon__icon\"><div class=\"ugb-icon-inner-svg\"><svg data-prefix=\"fab\" data-icon=\"twitter-square\" class=\"svg-inline--fa fa-twitter-square fa-w-14\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path fill=\"currentColor\" d=\"M400 32H48C21.5 32 0 53.5 0 80v352c0 26.5 21.5 48 48 48h352c26.5 0 48-21.5 48-48V80c0-26.5-21.5-48-48-48zm-48.9 158.8c.2 2.8.2 5.7.2 8.5 0 86.7-66 186.6-186.6 186.6-37.2 0-71.7-10.8-100.7-29.4 5.3.6 10.4.8 15.8.8 30.7 0 58.9-10.4 81.4-28-28.8-.6-53-19.5-61.3-45.5 10.1 1.5 19.2 1.5 29.6-1.2-30-6.1-52.5-32.5-52.5-64.4v-.8c8.7 4.9 18.9 7.9 29.6 8.3a65.447 65.447 0 0 1-29.2-54.6c0-12.2 3.2-23.4 8.9-33.1 32.3 39.8 80.8 65.8 135.2 68.6-9.3-44.5 24-80.6 64-80.6 18.9 0 35.9 7.9 47.9 20.7 14.8-2.8 29-8.3 41.6-15.8-4.9 15.2-15.2 28-28.8 36.1 13.2-1.4 26-5.1 37.8-10.2-8.9 13.1-20.1 24.7-32.9 34z\"><\/path><\/svg><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n\n\n\n<h3 class=\"has-text-align-center has-white-color has-text-color\"><strong>Big Data<\/strong><\/h3>\n\n\n\n<p class=\"has-text-align-left has-white-color has-text-color\">To date, we have collected over a hundred and fifty million tweets related to Macron, Marine Le Pen, Brexit, Covid-19, and many other noteworthy phenomena and individuals using a curated list of hashtags.&nbsp;<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-themeisle-blocks-advanced-column\" id=\"wp-block-themeisle-blocks-advanced-column-4f75d553\">\n<div class=\"alignwide wp-block-ugb-icon ugb-icon ugb-3e0d660 ugb-icon--v2 ugb-icon--design-basic ugb-main-block\"><style>.ugb-3e0d660 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-3e0d660 .ugb-icon__icon .ugb-icon-inner-svg svg{width:60px !important;height:60px !important}.ugb-3e0d660 .ugb-icon__icon .ugb-icon-inner-svg{color:var(--stk-global-color-71449,#ffffff) !important;transform:rotate(350deg) !important}.ugb-3e0d660 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-3e0d660 .ugb-icon__icon .ugb-icon-inner-svg svg *{color:var(--stk-global-color-71449,#ffffff) !important;fill:var(--stk-global-color-71449,#ffffff) !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-icon__content-wrapper\"><div class=\"ugb-icon__item ugb-icon__item1\"><div class=\"ugb-icon__icon\"><div class=\"ugb-icon-inner-svg\"><svg data-prefix=\"far\" data-icon=\"question-circle\" class=\"svg-inline--fa fa-question-circle fa-w-16\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path fill=\"currentColor\" d=\"M256 8C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm0 448c-110.532 0-200-89.431-200-200 0-110.495 89.472-200 200-200 110.491 0 200 89.471 200 200 0 110.53-89.431 200-200 200zm107.244-255.2c0 67.052-72.421 68.084-72.421 92.863V300c0 6.627-5.373 12-12 12h-45.647c-6.627 0-12-5.373-12-12v-8.659c0-35.745 27.1-50.034 47.579-61.516 17.561-9.845 28.324-16.541 28.324-29.579 0-17.246-21.999-28.693-39.784-28.693-23.189 0-33.894 10.977-48.942 29.969-4.057 5.12-11.46 6.071-16.666 2.124l-27.824-21.098c-5.107-3.872-6.251-11.066-2.644-16.363C184.846 131.491 214.94 112 261.794 112c49.071 0 101.45 38.304 101.45 88.8zM298 368c0 23.159-18.841 42-42 42s-42-18.841-42-42 18.841-42 42-42 42 18.841 42 42z\"><\/path><\/svg><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n\n\n\n<h3 class=\"has-text-align-center has-white-color has-text-color\"><strong>Sentiment Analysis<\/strong><\/h3>\n\n\n\n<p class=\"has-text-align-left has-white-color has-text-color\">We measure sentiment of the French and English tweets using machine-learning models that are trained on tweets for which we have manually determined the tone.\u00a0<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-themeisle-blocks-advanced-column\" id=\"wp-block-themeisle-blocks-advanced-column-2e4546cc\">\n<div class=\"alignwide wp-block-ugb-icon ugb-icon ugb-e29d879 ugb-icon--v2 ugb-icon--design-basic ugb-main-block\"><style>.ugb-e29d879 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-e29d879 .ugb-icon__icon .ugb-icon-inner-svg svg{width:60px !important;height:60px !important}.ugb-e29d879 .ugb-icon__icon .ugb-icon-inner-svg{color:var(--stk-global-color-71449,#ffffff) !important;transform:rotate(350deg) !important}.ugb-e29d879 .ugb-icon__icon .ugb-icon-inner-svg,.ugb-e29d879 .ugb-icon__icon .ugb-icon-inner-svg svg *{color:var(--stk-global-color-71449,#ffffff) !important;fill:var(--stk-global-color-71449,#ffffff) !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-icon__content-wrapper\"><div class=\"ugb-icon__item ugb-icon__item1\"><div class=\"ugb-icon__icon\"><div class=\"ugb-icon-inner-svg\"><svg data-prefix=\"fas\" data-icon=\"globe-americas\" class=\"svg-inline--fa fa-globe-americas fa-w-16\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 496 512\"><path fill=\"currentColor\" d=\"M248 8C111.03 8 0 119.03 0 256s111.03 248 248 248 248-111.03 248-248S384.97 8 248 8zm82.29 357.6c-3.9 3.88-7.99 7.95-11.31 11.28-2.99 3-5.1 6.7-6.17 10.71-1.51 5.66-2.73 11.38-4.77 16.87l-17.39 46.85c-13.76 3-28 4.69-42.65 4.69v-27.38c1.69-12.62-7.64-36.26-22.63-51.25-6-6-9.37-14.14-9.37-22.63v-32.01c0-11.64-6.27-22.34-16.46-27.97-14.37-7.95-34.81-19.06-48.81-26.11-11.48-5.78-22.1-13.14-31.65-21.75l-.8-.72a114.792 114.792 0 0 1-18.06-20.74c-9.38-13.77-24.66-36.42-34.59-51.14 20.47-45.5 57.36-82.04 103.2-101.89l24.01 12.01C203.48 89.74 216 82.01 216 70.11v-11.3c7.99-1.29 16.12-2.11 24.39-2.42l28.3 28.3c6.25 6.25 6.25 16.38 0 22.63L264 112l-10.34 10.34c-3.12 3.12-3.12 8.19 0 11.31l4.69 4.69c3.12 3.12 3.12 8.19 0 11.31l-8 8a8.008 8.008 0 0 1-5.66 2.34h-8.99c-2.08 0-4.08.81-5.58 2.27l-9.92 9.65a8.008 8.008 0 0 0-1.58 9.31l15.59 31.19c2.66 5.32-1.21 11.58-7.15 11.58h-5.64c-1.93 0-3.79-.7-5.24-1.96l-9.28-8.06a16.017 16.017 0 0 0-15.55-3.1l-31.17 10.39a11.95 11.95 0 0 0-8.17 11.34c0 4.53 2.56 8.66 6.61 10.69l11.08 5.54c9.41 4.71 19.79 7.16 30.31 7.16s22.59 27.29 32 32h66.75c8.49 0 16.62 3.37 22.63 9.37l13.69 13.69a30.503 30.503 0 0 1 8.93 21.57 46.536 46.536 0 0 1-13.72 32.98zM417 274.25c-5.79-1.45-10.84-5-14.15-9.97l-17.98-26.97a23.97 23.97 0 0 1 0-26.62l19.59-29.38c2.32-3.47 5.5-6.29 9.24-8.15l12.98-6.49C440.2 193.59 448 223.87 448 256c0 8.67-.74 17.16-1.82 25.54L417 274.25z\"><\/path><\/svg><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n\n\n\n<h3 class=\"has-text-align-center has-white-color has-text-color\"><strong>Future Directions<\/strong><\/h3>\n\n\n\n<p class=\"has-text-align-left has-white-color has-text-color\">We plan to investigate the role of disinformation and fake news in Twitter French discourse. Ultimately, we would like to conduct a cultural analysis that takes a longer and broader historical perspective, incorporating analysis of massive data into the established methods of inquiry in the field of cultural studies. <\/p>\n<\/div>\n<\/div><\/section>\n<\/div>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"featured_image_urls":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","post-slider-thumb-size":"","1536x1536":"","2048x2048":"","ect-jetpack-portfolio-featured":"","ect-featured-content":"","ect-service":"","post-thumbnail":"","signify-slider":"","signify-featured-content":"","jetpack-portfolio-admin-thumb":"","featured-content-admin-thumb":"","service-admin-thumb":""},"post_excerpt_stackable":"<p>Using social media data to reveal elements of French political discourse Big Data To date, we have collected over a hundred and fifty million tweets related to Macron, Marine Le Pen, Brexit, Covid-19, and many other noteworthy phenomena and individuals using a curated list of hashtags.&nbsp; Sentiment Analysis We measure sentiment of the French and English tweets using machine-learning models that are trained on tweets for which we have manually determined the tone.\u00a0 Future Directions We plan to investigate the role of disinformation and fake news in Twitter French discourse. Ultimately, we would like to conduct a cultural analysis that&hellip;<\/p>\n","category_list":"","author_info":{"name":"admin","url":"http:\/\/rv444.georgetown.domains\/author\/admin\/"},"comments_num":"0 comments","_links":{"self":[{"href":"http:\/\/rv444.georgetown.domains\/wp-json\/wp\/v2\/pages\/458"}],"collection":[{"href":"http:\/\/rv444.georgetown.domains\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/rv444.georgetown.domains\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/rv444.georgetown.domains\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/rv444.georgetown.domains\/wp-json\/wp\/v2\/comments?post=458"}],"version-history":[{"count":21,"href":"http:\/\/rv444.georgetown.domains\/wp-json\/wp\/v2\/pages\/458\/revisions"}],"predecessor-version":[{"id":554,"href":"http:\/\/rv444.georgetown.domains\/wp-json\/wp\/v2\/pages\/458\/revisions\/554"}],"wp:attachment":[{"href":"http:\/\/rv444.georgetown.domains\/wp-json\/wp\/v2\/media?parent=458"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}