{"id":89731,"date":"2010-11-05T00:00:01","date_gmt":"2010-11-05T05:00:01","guid":{"rendered":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/2010\/11\/05\/parsing-election-day-media-how-midterms-message-varied-platform\/"},"modified":"2024-04-14T04:18:20","modified_gmt":"2024-04-14T09:18:20","slug":"parsing-election-day-media-how-midterms-message-varied-platform","status":"publish","type":"post","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/parsing-election-day-media-how-midterms-message-varied-platform\/","title":{"rendered":"Parsing Election Day Media \u2013 How the Midterms Message Varied by Platform"},"content":{"rendered":"<p class=\"wp-block-paragraph\">The media serve several functions when it comes to coverage of election results, whether it is the mainstream press engaged in reporting news or citizens using technology to share and participate in it. The most basic function is to report the vote. Another more complex task is to assign some meaning to those results, to fashion a narrative that resets the political landscape and leans forward toward the next election cycle.<\/p>\n\n<p class=\"wp-block-paragraph\">A new study finds that no single unifying 2010 election-day message reverberated through the news ecosystem\u2014even with results as decisive as those on Nov. 2.\nRather, the media conversation was more diffuse than it might have been in a simpler, more homogenized, media era and it varied substantially depending on what media one looked at.<\/p>\n\n<p class=\"wp-block-paragraph\">These are among the findings of a new report by the Pew Research Center\u2019s Project for Excellence in Journalism of election coverage on four distinct media platforms, produced in conjunction with social media analysis technology from <a href=\"http:\/\/www.crimsonhexagon.com\" target=\"_blank\" rel=\"noopener noreferrer\">Crimson Hexagon<\/a>.<\/p>\n\n<p class=\"wp-block-paragraph\">A basic narrative of historic Republican gains and the voters\u2019 rebuke to Democrats certainly gained traction in the press. To some extent, however, that GOP romp theme was balanced by projections about future politics and policy debates, a focus on the electoral process itself, and grassroots calls to action.<\/p>\n\n<p class=\"wp-block-paragraph\">To some degree, different sectors performed differing functions: Newspapers, particularly on their front pages, offered synthesis and unified verdicts (GOP triumph). Television leaned more toward speculation and differing narratives (coming from talking heads). Blogs offered more ideologically oriented commentary and scrutiny of the process, while Twitter functioned largely as a clarion call to citizen activism and participation.<\/p>\n\n<p class=\"wp-block-paragraph\">The findings also offer significant evidence that social media aren\u2019t necessarily derivative of and dependent on the mainstream media. In this case, bloggers and Twitterers clearly went their own way, focusing on elements of the election that were largely missing in the mainstream narrative.\nAmong the findings:<\/p>\n\n<ul class=\"wp-block-list\">\n<li>Probably nothing in media comes closer to a simpler and more singular narrative than the headlines on the front pages of newspapers. These offered the broadest, boldest snapshot of the voter\u2019s verdict the day before.\u00a0 And they overwhelmingly drove home one unadulterated message, that of a Republican triumph, even as Democrats held the Senate. \u201cGOP Tidal Wave,\u201d declared the St. Paul (Minnesota) Pioneer Press. \u201cGOP Gallops\u201d echoed the Austin American-Statesman.<\/li>\n<\/ul>\n\n<ul class=\"wp-block-list\">\n<li>On network and cable television, a key factor in that Republican showing\u2014the role of the tea parties\u2014was a major topic, receiving 364 mentions across the six networks during the course of their election night programming. That ranked behind only attention to Barack Obama (473 mentions). That coverage also quickly pivoted from reporting the results to speculating on everything from the future of the Obama health care law to the political fortunes of such key Republican players such as Sarah Palin and John Boehner.<\/li>\n<\/ul>\n\n<ul class=\"wp-block-list\">\n<li>Bloggers offered a more mixed election verdict than much of the rest of the media. While the themes of GOP and tea party victories accounted for about 42% of the conversation, the competing idea of a mixed result or a setback for the tea party accounted for about one-quarter of the discussion. And the second-biggest election theme among bloggers (at 18%) was allegations of, and concerns about, possible voter fraud.<\/li>\n<\/ul>\n\n<ul class=\"wp-block-list\">\n<li>Twitter users demonstrated their platform\u2019s function as an organizing and galvanizing tool. About two-thirds (64%) of the Twitter conversation monitored by PEJ focused on calls to action, on encouraging people to vote. And most of that (41%) came in the form of non-partisan appeals. One other theme to emerge on Twitter was that people were tired of what they perceived as a nasty and negative campaign season (9%).<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\">To do the study PEJ used three different methods to analyze four different media: newspapers, television, blogs, and Twitter.\u00a0 For newspapers, researchers looked at front page headlines from November 3rd, 2010 archived on \u201cToday\u2019s Front Pages\u201d section of the <a href=\"http:\/\/www.newseum.org\/todaysfrontpages\/default.asp\" target=\"_blank\" rel=\"noopener noreferrer\">Newseum website<\/a>.\u00a0 For television, researchers conducted keyword frequency search using a software called Snapstream that recorded the three major cable news networks between 6 p.m. November 2 and 2 a.m. on November 3 and the three major commercial broadcast networks between 9 p.m. and 2 a.m. Finally, for blogs and Twitter PEJ used another technology provided by the social analytics firm Crimson Hexagon. The technology analyzes online media by identifying statistical patterns in the words used to express opinions on different topics.\u00a0 For this analysis PEJ looked at blog posts and Twitter on November 2nd and November 3rd.\u00a0 For a full methodology of the study <a href=\"\/analysis_report\/about_study_0\">click here<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>In today&rsquo;s news landscape, both mainstream and new media sources shape the narrative. A new PEJ study finds that no single unified message reverberated throughout the media universe in the wake of the November 2 voting and what one learned depended largely on where one got the news.&nbsp; How did the post election-day narrative differ from the front pages to the television studies and from bloggers to Twitterers?<\/p>\n","protected":false},"author":180,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sub_headline":"","sub_title":"","_prc_public_revisions":[],"_ppp_expiration_hours":0,"_ppp_enabled":false,"ai_generated_summary":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"apple_news_api_id":"","apple_news_api_revision":"","apple_news_api_created_at":"","apple_news_api_modified_at":"","apple_news_api_share_url":"","apple_news_api_pending":"","apple_news_is_preview":false,"apple_news_is_hidden":false,"relatedPosts":[],"reportMaterials":[],"multiSectionReport":[{"key":"_migrate_0","postId":89739},{"key":"_migrate_1","postId":89748},{"key":"_migrate_2","postId":89754},{"key":"_migrate_3","postId":89761},{"key":"_migrate_4","postId":89768}],"package_parts__enabled":false,"package_parts":[],"datacite_doi":"","datacite_doi_citation":"","_prc_seo_qr_attachment_id":0,"spoken_article_player_enabled":true,"displayBylines":true,"footnotes":"","prc_watchers":[],"_prc_fork_parent":0,"_prc_fork_status":"","_prc_active_fork":0,"jetpack_post_was_ever_published":false},"categories":[],"tags":[],"bylines":[2199],"collection":[],"datasets":[],"level_of_effort":[],"primary_audience":[],"information_type":[],"_post_visibility":[],"formats":[458],"_fund_pool":[],"languages":[],"regions-countries":[],"research-teams":[527],"workflow-status":[],"class_list":["post-89731","post","type-post","status-publish","format-standard","hentry","bylines-pew-research-center-journalism-media-staff","formats-report","research-teams-journalism"],"label":false,"post_parent":0,"word_count":750,"canonical_url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/parsing-election-day-media-how-midterms-message-varied-platform\/","art_direction":false,"_embeds":[],"watchers":[],"table_of_contents":[{"id":89731,"title":"Parsing Election Day Media \u2013 How the Midterms Message Varied by Platform","slug":"parsing-election-day-media-how-midterms-message-varied-platform","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/parsing-election-day-media-how-midterms-message-varied-platform\/","is_active":true},{"id":89739,"title":"Newspaper Headlines \u2013 A Republican Romp","slug":"newspaper-headlines-republican-romp","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/newspaper-headlines-republican-romp\/","is_active":false},{"id":89748,"title":"Television \u2013 Tea Party and Tea Leaves","slug":"television-tea-party-and-tea-leaves","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/television-tea-party-and-tea-leaves\/","is_active":false},{"id":89754,"title":"Blogs \u2013 Commentary and Conspiracies","slug":"blogs-commentary-and-conspiracies","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/blogs-commentary-and-conspiracies\/","is_active":false},{"id":89761,"title":"Twitter \u2013 a Call to Action","slug":"twitter-call-action","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/twitter-call-action\/","is_active":false},{"id":89768,"title":"About this Study","slug":"about-study-0","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/about-study-0\/","is_active":false}],"report_materials":"","report_pagination":{"current_post":{"id":89731,"title":"Parsing Election Day Media \u2013 How the Midterms Message Varied by Platform","slug":"parsing-election-day-media-how-midterms-message-varied-platform","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/parsing-election-day-media-how-midterms-message-varied-platform\/","is_active":true,"page_num":1},"next_post":{"id":89739,"title":"Newspaper Headlines \u2013 A Republican Romp","slug":"newspaper-headlines-republican-romp","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/newspaper-headlines-republican-romp\/","is_active":false,"page_num":2},"previous_post":null,"pagination_items":[{"id":89731,"title":"Parsing Election Day Media \u2013 How the Midterms Message Varied by Platform","slug":"parsing-election-day-media-how-midterms-message-varied-platform","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/parsing-election-day-media-how-midterms-message-varied-platform\/","is_active":true,"page_num":1},{"id":89739,"title":"Newspaper Headlines \u2013 A Republican Romp","slug":"newspaper-headlines-republican-romp","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/newspaper-headlines-republican-romp\/","is_active":false,"page_num":2},{"id":89748,"title":"Television \u2013 Tea Party and Tea Leaves","slug":"television-tea-party-and-tea-leaves","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/television-tea-party-and-tea-leaves\/","is_active":false,"page_num":3},{"id":89754,"title":"Blogs \u2013 Commentary and Conspiracies","slug":"blogs-commentary-and-conspiracies","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/blogs-commentary-and-conspiracies\/","is_active":false,"page_num":4},{"id":89761,"title":"Twitter \u2013 a Call to Action","slug":"twitter-call-action","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/twitter-call-action\/","is_active":false,"page_num":5},{"id":89768,"title":"About this Study","slug":"about-study-0","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/journalism\/2010\/11\/05\/about-study-0\/","is_active":false,"page_num":6}]},"parent_info":{"parent_title":"Parsing Election Day Media \u2013 How the Midterms Message Varied by Platform","parent_id":89731},"materialsOrdered":[],"chaptersOrdered":[{"key":"_migrate_0","postId":89739},{"key":"_migrate_1","postId":89748},{"key":"_migrate_2","postId":89754},{"key":"_migrate_3","postId":89761},{"key":"_migrate_4","postId":89768}],"partsOrdered":[],"partsEnabled":false,"datacite_doi":"","prc_seo_data":{"title":"Parsing Election Day Media \u2013 How the Midterms Message Varied by Platform","description":"In today&rsquo;s news landscape, both mainstream and new media sources shape the narrative. A new PEJ study finds that no single unified message reverberated throughout the media universe in the wake of the November 2 voting and what one learned depended largely on where one got the news.&nbsp; How did the post election-day narrative differ from the front pages to the television studies and from bloggers to Twitterers?","og_title":"Parsing Election Day Media \u2013 How the Midterms Message Varied by Platform","og_description":"In today&rsquo;s news landscape, both mainstream and new media sources shape the narrative. A new PEJ study finds that no single unified message reverberated throughout the media universe in the wake of the November 2 voting and what one learned depended largely on where one got the news.&nbsp; How did the post election-day narrative differ from the front pages to the television studies and from bloggers to Twitterers?","schema_type":"Article","noindex":false,"canonical_url":"","primary_terms":[],"custom_schema":[],"og_image":0,"indexnow_submitted_at":null,"gsc_index_status":null},"prepublish_checks":{"prc-image-alt-text":{"status":"complete","message":"No image blocks in content.","data":null},"prc-about-this-research":{"status":"incomplete","message":"Add an \"About this research\" details block.","data":null},"prc-paragraph-count":{"status":"complete","message":"Found 7 paragraphs.","data":{"count":7}},"prc-internal-link":{"status":"complete","message":"Found 1 internal link.","data":{"count":1}}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"relatedPostsOrdered":[],"bylinesOrdered":[{"key":"57ce5b14-86fe-4ee6-9b32-76fbb3e0959a","termId":2199}],"acknowledgementsOrdered":[],"_links":{"self":[{"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/posts\/89731","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/users\/180"}],"replies":[{"embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/comments?post=89731"}],"version-history":[{"count":1,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/posts\/89731\/revisions"}],"predecessor-version":[{"id":137739,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/posts\/89731\/revisions\/137739"}],"wp:attachment":[{"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/media?parent=89731"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/categories?post=89731"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/tags?post=89731"},{"taxonomy":"bylines","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/bylines?post=89731"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/collection?post=89731"},{"taxonomy":"datasets","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/datasets?post=89731"},{"taxonomy":"level_of_effort","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/level_of_effort?post=89731"},{"taxonomy":"primary_audience","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/primary_audience?post=89731"},{"taxonomy":"information_type","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/information_type?post=89731"},{"taxonomy":"_post_visibility","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/_post_visibility?post=89731"},{"taxonomy":"formats","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/formats?post=89731"},{"taxonomy":"_fund_pool","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/_fund_pool?post=89731"},{"taxonomy":"languages","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/languages?post=89731"},{"taxonomy":"regions-countries","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/regions-countries?post=89731"},{"taxonomy":"research-teams","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/research-teams?post=89731"},{"taxonomy":"workflow-status","embeddable":true,"href":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-json\/wp\/v2\/workflow-status?post=89731"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}