{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T21:57:26Z","timestamp":1782856646287,"version":"3.54.5"},"reference-count":60,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100007710","name":"University of Connecticut Scholarship Facilitation Fund","doi-asserted-by":"publisher","award":["SFF-0000000640"],"award-info":[{"award-number":["SFF-0000000640"]}],"id":[{"id":"10.13039\/100007710","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["New Media &amp; Society"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:p>\n                    All mainstream social media platforms now use algorithms to display recommended content, and some (e.g. Instagram, LinkedIn) have started showing what we call\n                    <jats:italic toggle=\"yes\">algorithmic transparency cues<\/jats:italic>\n                    about why certain posts are recommended. However, little is known about what cues users see on their own feeds and how they experience them. Thus, using an online survey (\n                    <jats:italic toggle=\"yes\">N<\/jats:italic>\n                    \u2009=\u2009515) of adult U.S. social media users, we gathered data about two research questions: (1) What types of algorithmic cues users find in their own feeds, and (2) their experiences with algorithms and their transparency. Content analysis of user-submitted screenshots and cue descriptions shows that most transparency cues refer to users\u2019 behaviors, behaviors of others in their network, and sponsored posts. Furthermore, open-ended responses indicate that users have critical opinions about algorithms, calling for greater algorithmic transparency on social media, and offering suggestions for researchers and platform designers moving forward.\n                  <\/jats:p>","DOI":"10.1177\/14614448251339493","type":"journal-article","created":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T07:46:03Z","timestamp":1747640763000},"page":"2570-2591","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Exploring social media users\u2019 experiences with algorithmic transparency cues"],"prefix":"10.1177","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3961-3766","authenticated-orcid":false,"given":"Anne","family":"Oeldorf-Hirsch","sequence":"first","affiliation":[{"name":"University of Connecticut, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4524-998X","authenticated-orcid":false,"given":"Lili R","family":"Romann","sequence":"additional","affiliation":[{"name":"University of Connecticut, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isabella","family":"Witkowich","sequence":"additional","affiliation":[{"name":"University of Connecticut, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5556-0365","authenticated-orcid":false,"given":"Jiayi","family":"Chen","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,5,19]]},"reference":[{"key":"e_1_3_5_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"e_1_3_5_3_1","unstructured":"Adisa D (2023) Everything you need to know about social media algorithms. 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