{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T16:00:41Z","timestamp":1792166441562,"version":"4.4.0"},"reference-count":77,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:00:00Z","timestamp":1781222400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:00:00Z","timestamp":1781222400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["acsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer"],"published-print":{"date-parts":[[2026,6,15]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Alcohol is a group 1 carcinogen linked to seven cancers, yet awareness of this risk remains low in the United State. Identifying effective alcohol\u2013cancer communication strategies is a public health priority. The objective of this study was to test the effects of message specificity (general vs. cancer\u2010specific) and visual intensity (text\u2010only, neutral pictorial, graphic pictorial) on message receptivity (attention, emotional reactions) and precursors of behavior (harm perception; intentions to reduce, limit, or stop drinking) among moderate and heavy alcohol consumers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Eight evidence\u2010based text messages were created across two topics: general and cancer\u2010specific harm. Artificial intelligence was used to generate pictorial versions at two intensities: neutral (symbolic, no visible disease) and graphic (explicit health consequences). In a 2025 online within\u2010subject\/between\u2010subject crossover experiment, 639 US adult consumers (aged 21 years and older; 49.3% female) each viewed two randomly selected messages (one general, one cancer\u2010specific) presented in three formats (text\u2010only, neutral, and graphic; for six total formats), with counterbalanced order. Linear mixed\u2010effects models were used to estimate differences by intensity, specificity, and drinking levels, reporting regression coefficients (\u03b2, 95% confidence intervals).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Cancer\u2010specific messages produced greater attention, emotional reactions, and intentions to reduce drinking than general messages (\u03b2\u00a0=\u00a00.10\u20130.19;\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a0.05). Graphic pictorials outperformed neutral images on emotional and behavioral outcomes (\u03b2\u00a0=\u00a00.19\u20130.22;\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a0.05). Moderate consumers showed stronger perceived harm and message responsiveness than heavy consumers (\u03b2\u00a0=\u00a00.29\u20130.77;\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a0.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Artificial intelligence\u2013generated alcohol\u2013cancer messages are feasible and effective in strengthening precursors to behavior change. Cancer\u2010specific content and higher visual intensity enhance impact, particularly among moderate consumers, highlighting the importance of tailoring alcohol\u2013cancer communication strategies to different audience characteristics.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cncr.70491","type":"journal-article","created":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T11:28:49Z","timestamp":1781263729000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Alcohol consumers\u2019 receptivity to artificial intelligence\u2013generated alcohol\u2013cancer risk messages: An\u00a0experimental study"],"prefix":"10.1002","volume":"132","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1133-9723","authenticated-orcid":false,"given":"Taghrid","family":"Asfar","sequence":"first","affiliation":[{"name":"Department of Public Health Sciences Miller\u00a0School of Medicine University of Miami  Miami Florida 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