{"id":1596,"date":"2024-10-10T16:59:29","date_gmt":"2024-10-10T14:59:29","guid":{"rendered":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/?p=1596"},"modified":"2024-10-21T17:06:29","modified_gmt":"2024-10-21T15:06:29","slug":"language-independent-massive-network-attitudinal-embedding","status":"publish","type":"post","link":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/language-independent-massive-network-attitudinal-embedding\/","title":{"rendered":"Language-Independent Massive Network Attitudinal Embedding"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;3.22&#8243;][et_pb_row _builder_version=&#8221;3.22&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;3.0.47&#8243;][et_pb_text _builder_version=&#8221;3.22.1&#8243; background_color=&#8221;#072c72&#8243; border_color_all=&#8221;#3255c9&#8243; text_orientation=&#8221;right&#8221; background_layout=&#8221;dark&#8221; custom_padding=&#8221;20px|15px|15px|&#8221; z_index_tablet=&#8221;500&#8243;]<\/p>\n<p><em>2022<\/em><\/p>\n<p><em>Strategic Projects<\/em><\/p>\n<p><span data-sheets-root=\"1\">@Computer Science<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;3.22.1&#8243; text_orientation=&#8221;right&#8221; z_index_tablet=&#8221;500&#8243;]<\/p>\n<p>+Political Science<\/p>\n<p>\u00a0<\/p>\n<p>#network embedding<\/p>\n<p>#sparse embedding ideological scaling<\/p>\n<p>#attitudinal data<\/p>\n<p>#ideologies<\/p>\n<p>#polarization<\/p>\n<p>#party systems<\/p>\n<p>\u00a0<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;3.0.47&#8243;][et_pb_text _builder_version=&#8221;3.22.1&#8243; z_index_tablet=&#8221;500&#8243;]<\/p>\n<h3><strong>Project Summary<\/strong><\/h3>\n<p>Public opinion on different issues of public debate is traditionally studied through polls and surveys. Recent advancements in network ideological scaling methods, however, show that digital behavioral traces in social platforms can be used to infer opinions at a massive scale. Current approaches allow to position social network users on ideological scales ranging extreme left- to extreme right-wing stances. This is suited for two-party systems and binary social divides, as the case of the US. However, no similar methodology exists for European (and other) settings, where public political debate is structured along several different issues and cleavages, and party systems impose a multi-polar landscape. To overcome this gap, we propose a novel approach that mixes ideological scaling of social graphs with external attitudinal data. The former uses social network structures to embed users in spaces where dimensions are informative of ideological traits. The latter provide stances for a few users on attitudinal scales (from most opposed to most favorable) for a range of well-identified issues of public debate: e.g., taxation, immigration, European integration, environmental protection, civil liberties. Mixing the two, we aim at embedding a massive number of users in attitudinal spaces where positions along several dimensions indicate opinions towards identifiable issues structuring public debate. Attitudinal embeddings finds numerous applications explored within the project, from recommendation algorithm audit and design, to the study of party systems and political competition online, polarization, and informational and media dynamics.<\/p>\n<p>\u00a0<\/p>\n<h5><strong>Pedro Ramaciotti-Morales <\/strong><\/h5>\n<p>\u00a0<\/p>\n<p>[\/et_pb_text][et_pb_image src=&#8221;https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-content\/uploads\/sites\/27\/2024\/10\/Language-Independent-Massive-Network-Attitudinal-Embedding-1-min-1-1-compressed-1.png&#8221; _builder_version=&#8221;3.22.1&#8243; z_index_tablet=&#8221;500&#8243;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=&#8221;120px||&#8221; _builder_version=&#8221;3.22.1&#8243; admin_label=&#8221;Row&#8221; locked=&#8221;off&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;3.22.1&#8243;][et_pb_divider _builder_version=&#8221;3.22.1&#8243;][\/et_pb_divider][et_pb_text admin_label=&#8221;\u00c0 lire aussi&#8221; _builder_version=&#8221;3.22.1&#8243; z_index_tablet=&#8221;500&#8243; locked=&#8221;off&#8221;]<\/p>\n<h2><span class=\"st\">Projects in the same discipline<br \/><\/span><\/h2>\n<p>[\/et_pb_text][et_pb_blog posts_number=&#8221;4&#8243; include_categories=&#8221;31&#8243; show_author=&#8221;off&#8221; show_date=&#8221;off&#8221; show_pagination=&#8221;off&#8221; module_id=&#8221;page_type_blog&#8221; _builder_version=&#8221;3.22.1&#8243; header_level=&#8221;h4&#8243; border_width_bottom_fullwidth=&#8221;1px&#8221; border_color_bottom_fullwidth=&#8221;rgba(51,51,51,0.18)&#8221; custom_padding=&#8221;||50px|&#8221; z_index_tablet=&#8221;500&#8243; locked=&#8221;off&#8221;][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>2022Strategic Projects@Computer Science +Political Science\u00a0#network embedding#sparse embedding ideological scaling#attitudinal data#ideologies#polarization#party systems\u00a0 Project SummaryPublic opinion on different issues of public debate is traditionally studied through polls and surveys. Recent advancements in network ideological scaling methods, however, show that digital behavioral traces in social platforms can be used to infer opinions at a massive scale. Current approaches&hellip; <a class=\"continue\" href=\"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/language-independent-massive-network-attitudinal-embedding\/\">Lire la suite<span> Language-Independent Massive Network Attitudinal Embedding<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":1598,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[55,31,1,26],"tags":[],"class_list":["post-1596","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-55","category-computer-science","category-diip","category-strategic-projects"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1596","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=1596"}],"version-history":[{"count":2,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1596\/revisions"}],"predecessor-version":[{"id":2328,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1596\/revisions\/2328"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/1598"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=1596"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=1596"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=1596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}