[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-194719-105":53,"doc-detail-194719-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","news-sources-political-leaning-engagement-and-topic-slant-analysis","News Sources Political Leaning Engagement and Topic Slant Analysis","","Analysis of news publishers and their political leaning using counts of articles, tweets, and audience reactions. Evaluates slant orientation for sources such as CNN, The Washington Post, Business Insider, USA Today, Fox News, and Breitbart News, alongside aggregated engagement metrics. Examines how topic framing relates to moral and non-moral dimensions (e.g., Care, Harm, Authority, Subversion, Fairness, Cheating, Loyalty, Betrayal, Purity, Degradation) across selected political entities and issues, including BLM, Economy, Conspiracy Theory, Capitol, Riots, Impeachment, Healthcare, and Immigration.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/news-sources-political-leaning-engagement-and-topic-slant-analysis/194719/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/news-sources-political-leaning-engagement-and-topic-slant-analysis/194719.png","ImageObject",442,249,{"name":88,"@type":89},"Logic","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-20","2026-09-03",true,{"@type":98,"interactionType":99,"userInteractionCount":9},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"Which news sources and political leanings are compared in the analysis?","Question",{"text":108,"@type":109},"The analysis compares multiple publishers (e.g., CNN, The Washington Post, Business Insider, USA Today, Fox News, Breitbart News) labeled by political leaning categories such as LEFT, BALANCED, and RIGHT.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How are entities such as Biden and Trump measured?",{"text":113,"@type":109},"Entities are measured using headline and tweet scores across different source-leaning groupings, showing how their coverage varies by left, balanced, and right contexts.",{"name":115,"@type":106,"acceptedAnswer":116},"What does the topic slant table represent?",{"text":117,"@type":109},"The topic slant table links specific topics (e.g., BLM, Economy, Conspiracy Theory, Capitol, Riots, Impeachment, Healthcare, Immigration) to value dimensions like Care, Harm, Authority, and Subversion, with separate right-leaning and left-leaning patterns.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},194719,1788441988,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":9,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":20,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":125,"read_time":47},1099513958762,"https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253","| Publisher | Leaning | News | Tweets | Reactions |\n| --- | --- | --- | --- | --- |\n| CNN | LEFT | 6 485 | 6 108 | 1 704 194 |\n| The Washington Post | LEFT | 4 678 | 6 999 | 1 051 062 |\n| Business Insider | BALANCED | 4 803 | 3 872 | 41 731 |\n| USA Today | BALANCED | 4 216 | 3 490 | 119 377 |\n| Fox News | RIGHT | 8 327 | 872 | 648 719 |\n| Breitbart News | RIGHT | 7 377 | 3 243 | 474 525 |\n\n\n| Entity | Source | Source Leaning |  |  |\n| --- | --- | --- | --- | --- |\n|  |  | LEFT | BALANCED | RIGHT |\n| Biden | Headlines Tweets | 1.261\u003Cbr>1.428 | 1.210\u003Cbr>1.311 | 0.435\u003Cbr>0.393 |\n| Trump | Headlines Tweets | 0.194\u003Cbr>0.215 | 0.233\u003Cbr>0.242 | 0.322\u003Cbr>0.494 |\n\n| Topic | Slant | Non-Moral | Care | Harm | Authority | Subversion | Fairness | Cheating | Loyalty | Betrayal | Purity | Degradation |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BLM | LEFT | −5 | 10 | 47 | −2 | −3 | 20 | −4 | 2 | 22 | 0 | −3 |\n|  | RIGHT | 3 | 16 | 25 | −7 | −12 | −1 | −14 | 2 | −5 | 85 | 19 |\n| Economy | LEFT | −5 | −5 | −24 | 1 | 8 | −6 | 23 | 1 | 1 | −17 | −17 |\n|  | RIGHT | −13 | 22 | −5 | 14 | 18 | 1 | 24 | 1 | 14 | −12 | −15 |\n| Conspiracy | LEFT | −3 | −19 | −12 | −10 | −1 | −3 | 21 | −10 | −3 | 1 | 1 |\n| Theory | RIGHT | 5 | −5 | −9 | 20 | 0 | −14 | −14 | 1 | −9 | −5 | −4 |\n| Capitol | LEFT | −13 | 30 | 40 | 9 | 18 | 0 | −10 | 6 | 46 | −3 | 9 |\n| Riots | RIGHT | −13 | −3 | 65 | 0 | 16 | 12 | −5 | 0 | 55 | −10 | 2 |\n| Impeachment | LEFT | −7 | −12 | −18 | 24 | 23 | 4 | −7 | 0 | 6 | −2 | 15 |\n|  | RIGHT | −12 | −1 | 14 | 27 | 29 | 0 | −9 | 33 | 26 | −6 | 4 |\n| Healthcare | LEFT | −5 | 14 | 4 | 8 | 8 | 7 | 4 | −2 | −2 | −6 | −1 |\n|  | RIGHT | 4 | −1 | −2 | 1 | 0 | 12 | −2 | −2 | −3 | −26 | −30 |\n| Immigration | LEFT | 3 | 32 | 34 | −9 | −12 | 6 | −16 | −1 | −8 | 10 | 16 |\n|  | RIGHT | −7 | 76 | 21 | 20 | 16 | 10 | −13 | 25 | 21 | −17 | −10 |\n\n\n| User Engagement | Political Leaning\u003Cbr>Left Balanced Right |\n| --- | --- |\n|  | 210 21 272 |","cbCaik8oZd9E7BEA","https://ap.wps.com/l/cbCaik8oZd9E7BEA","pdf",1085810,"English","# Data Overview\n## News Publisher Leaning and Volume\n## Entity Alignment (Headlines and Tweets)\n## Topic Slant Across Moral Dimensions\n## User Engagement by Political Leaning","[{\"question\":\"Which news sources and political leanings are compared in the analysis?\",\"answer\":\"The analysis compares multiple publishers (e.g., CNN, The Washington Post, Business Insider, USA Today, Fox News, Breitbart News) labeled by political leaning categories such as LEFT, BALANCED, and RIGHT.\"},{\"question\":\"How are entities such as Biden and Trump measured?\",\"answer\":\"Entities are measured using headline and tweet scores across different source-leaning groupings, showing how their coverage varies by left, balanced, and right contexts.\"},{\"question\":\"What does the topic slant table represent?\",\"answer\":\"The topic slant table links specific topics (e.g., BLM, Economy, Conspiracy Theory, Capitol, Riots, Impeachment, Healthcare, Immigration) to value dimensions like Care, Harm, Authority, and Subversion, with separate right-leaning and left-leaning patterns.\"}]","News Sources Political Leaning Engagement and Topic Slant Analysis | PDF"]