{"id":168716,"date":"2015-09-01T00:00:00","date_gmt":"2015-09-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/tag-me-maybe-perceptions-public-targeted-sharing-on-facebook\/"},"modified":"2018-10-16T20:50:04","modified_gmt":"2018-10-17T03:50:04","slug":"tag-me-maybe-perceptions-public-targeted-sharing-on-facebook","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/tag-me-maybe-perceptions-public-targeted-sharing-on-facebook\/","title":{"rendered":"Tag Me Maybe: Perceptions Public Targeted Sharing on Facebook"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Social network sites allow users to publicly tag people in their posts. These tagged posts allow users to share to both the general public and a targeted audience, dynamically assembled via notifications that alert the people mentioned. We investigate people&#8217;s perceptions of this mixed sharing mode through a qualitative study with 120 participants. We found that individuals like this sharing modality as they believe it strengthens their relationships. Individuals also report using tags to have more control of Facebook\u2019s ranking algorithm, and to expose one another to novel information and people. This work helps us understand people\u2019s complex relationships with the algorithms that mediate their interactions with each another. We conclude by discussing the design implications of these findings.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Social network sites allow users to publicly tag people in their posts. These tagged posts allow users to share to both the general public and a targeted audience, dynamically assembled via notifications that alert the people mentioned. We investigate people&#8217;s perceptions of this mixed sharing mode through a qualitative study with 120 participants. We found [&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":"","msr-author-ordering":null,"msr_publishername":"ACM - Association for Computing Machinery","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"26th ACM Conference on Hypertext and Social Media","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. 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