{"id":2819,"date":"2026-06-10T20:54:00","date_gmt":"2026-06-10T20:54:00","guid":{"rendered":"https:\/\/hicup.famnit.upr.si\/?p=2819"},"modified":"2026-06-15T11:34:55","modified_gmt":"2026-06-15T11:34:55","slug":"best-lbr-award-at-umap-2026","status":"publish","type":"post","link":"https:\/\/hicup.famnit.upr.si\/index.php\/2026\/06\/10\/best-lbr-award-at-umap-2026\/","title":{"rendered":"Best LBR Award at UMAP 2026"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The paper <em>\u201cProgress Feedback for Countering Selective Exposure: When Visualisation<\/em> Can Backfire\u201d received the Best Late-Breaking Results (LBR) Award at <a href=\"https:\/\/www.um.org\/umap2026\/\">UMAP 2026<\/a>. Two HICUP Lab members, <a href=\"https:\/\/markotkalcic.com\/\">Marko Tkal\u010di\u010d<\/a> and <a href=\"https:\/\/scholar.google.com\/citations?user=zVJwPHIAAAAJ&amp;hl=sl\">Uro\u0161 Serga\u0161<\/a> co-authored the paper together with Janine Riemann, Jasmin Alt, and <a href=\"https:\/\/scholar.google.com\/citations?user=dMHif84AAAAJ&amp;hl=en\">Bruce Ferwerda<\/a>. The award recognises the contribution of the work within the field of user modelling, adaptation, and personalisation, and highlights research connected to HICUP Lab and its international collaborators.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/hicup.famnit.upr.si\/wp-content\/uploads\/2026\/06\/photo_2026-06-10_20-35-13-2-1024x768.jpg\" alt=\"\" class=\"wp-image-2821\" srcset=\"https:\/\/hicup.famnit.upr.si\/wp-content\/uploads\/2026\/06\/photo_2026-06-10_20-35-13-2-1024x768.jpg 1024w, https:\/\/hicup.famnit.upr.si\/wp-content\/uploads\/2026\/06\/photo_2026-06-10_20-35-13-2-300x225.jpg 300w, https:\/\/hicup.famnit.upr.si\/wp-content\/uploads\/2026\/06\/photo_2026-06-10_20-35-13-2-768x576.jpg 768w, https:\/\/hicup.famnit.upr.si\/wp-content\/uploads\/2026\/06\/photo_2026-06-10_20-35-13-2.jpg 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">This study investigates whether different types of visual feedback about news consumption can reduce selective exposure, i.e., the tendency to favour information that confirms one\u2019s existing beliefs. The authors compared an analytical display of viewpoint balance, which used two separate bars to show how much of each side participants consumed, with a metaphorical &#8220;growth&#8221; display that framed exposure to opposing views as personal development. In a controlled experiment with 84 participants, neither approach significantly increased engagement with counter-attitudinal content compared to a control group. The findings suggest that visual balance feedback alone, without personalisation or algorithmic adjustments, may be insufficient for mitigating selective exposure in a single session.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">More details about this news can be found on the faculty website:\u00a0<a href=\"https:\/\/www.famnit.upr.si\/en\/news\/best-paper-award-at\" target=\"_blank\" rel=\"noreferrer noopener\">UP FAMNIT News<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Follow HICUP Lab in its official channels for more updates:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/x.com\/HicupLab\">X<\/a><br><a href=\"https:\/\/hicup.famnit.upr.si\">Website<\/a><br><a href=\"https:\/\/www.youtube.com\/channel\/UCBY8PSOvo2ssWAPFJ2DBLtQ\">Youtube<\/a><br><a href=\"https:\/\/www.linkedin.com\/school\/hicuplab\">Linkedin<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For feedback regarding our media content, you may contact our&nbsp;<a href=\"mailto:michelle.fernando@famnit.upr.si\">Social media and web manager<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The paper \u201cProgress Feedback for Countering Selective Exposure: When Visualisation Can Backfire\u201d received the Best Late-Breaking Results (LBR) Award at&hellip;<\/p>\n","protected":false},"author":5,"featured_media":2820,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,10,5],"tags":[],"class_list":["post-2819","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-awards","category-media","category-news"],"_links":{"self":[{"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/posts\/2819","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/comments?post=2819"}],"version-history":[{"count":2,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/posts\/2819\/revisions"}],"predecessor-version":[{"id":2823,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/posts\/2819\/revisions\/2823"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/media\/2820"}],"wp:attachment":[{"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/media?parent=2819"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/categories?post=2819"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/tags?post=2819"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}