{"id":157173,"date":"2019-01-17T09:58:08","date_gmt":"2019-01-17T17:58:08","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/navigation-patterns-from-and-to-social-media\/"},"modified":"2019-01-17T09:58:08","modified_gmt":"2019-01-17T17:58:08","slug":"navigation-patterns-from-and-to-social-media","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/navigation-patterns-from-and-to-social-media\/","title":{"rendered":"Navigation Patterns from and to Social Media"},"content":{"rendered":"<div class=\"asset-content\">\n<p>With the rapid rise of social media content, the question how people navigate to and from social media becomes important in order to understand what new tools and approaches are most beneficial to allow users to discover and interact with this social media data. In this study we analyze session log data to describe navigation patterns involving these sites. Our findings suggest that there are distinct patterns of insular navigation behavior around social media, with blogs being the most transitory in the way users interact with them.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>With the rapid rise of social media content, the question how people navigate to and from social media becomes important in order to understand what new tools and approaches are most beneficial to allow users to discover and interact with this social media data. In this study we analyze session log data to describe navigation [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13555],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-157173","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-search-information-retrieval","msr-locale-en_us"],"msr_publishername":"American Association for Artificial Intelligence","msr_edition":"3rd AAAI Conference on Weblogs and Social Media (ICWSM 2009)","msr_affiliation":"","msr_published_date":"2009-05-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"207698","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"GamonKonig.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/GamonKonig.pdf","id":207698,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":207698,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/GamonKonig.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"mgamon","user_id":32888,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=mgamon"},{"type":"user_nicename","value":"chrisko","user_id":31427,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=chrisko"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[144736,493619,957177],"msr_project":[169473],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":169473,"post_title":"BLEWS - What The Blogosphere Tells You About News","post_name":"blews-what-the-blogosphere-tells-you-about-news","post_type":"msr-project","post_date":"2008-02-18 15:41:48","post_modified":"2019-08-19 10:01:42","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/blews-what-the-blogosphere-tells-you-about-news\/","post_excerpt":"While typical news-aggregation sites do a good job of clustering news stories according to topic, they leave the reader without information about which stories figure prominently in political discourse. BLEWS uses political blogs to categorize news stories according to their reception in the conservative and liberal blogospheres. 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