{"id":5446,"date":"2026-01-05T20:19:43","date_gmt":"2026-01-05T20:19:43","guid":{"rendered":"https:\/\/blog.truthscan.com\/?p=5446"},"modified":"2026-03-07T00:33:44","modified_gmt":"2026-03-07T00:33:44","slug":"deepfakes-are-destroying-arizona-new-study","status":"publish","type":"post","link":"https:\/\/blog.truthscan.com\/fr\/deepfakes-are-destroying-arizona-new-study\/","title":{"rendered":"Les deepfakes d\u00e9truisent-ils l'Arizona ? Nouvelle \u00e9tude"},"content":{"rendered":"<!DOCTYPE html>\n<html>\n  <head>\n    <meta charset=\"UTF-8\" \/>\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\" \/>\n    <meta property=\"og:type\" content=\"article\" \/>\n\n    <!-- Fonts & Chart.js -->\n    <link rel=\"preconnect\" href=\"https:\/\/fonts.googleapis.com\" \/>\n    <link rel=\"preconnect\" href=\"https:\/\/fonts.gstatic.com\" crossorigin \/>\n    <link\n      href=\"https:\/\/fonts.googleapis.com\/css2?family=Inter:wght@300;400;500;600;700&#038;display=swap\"\n      rel=\"stylesheet\"\n    \/>\n    <script src=\"https:\/\/cdn.jsdelivr.net\/npm\/chart.js\"><\/script>\n\n    <style>\n      :root {\n        --bg: #f3f4f6;\n        --bg-soft: #e5f0ff;\n        --card-bg: #ffffff;\n        --card-overlay: rgba(255, 255, 255, 0.9);\n        --accent: #2563eb; \/* blue *\/\n        --accent-soft: rgba(37, 99, 235, 0.08);\n        --accent-2: #0ea5e9; \/* light cyan *\/\n        --text: #0f172a; \/* 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class=\"hero-inner\">\n          <div class=\"hero-left\">\n            <div class=\"eyebrow\">\n              <span class=\"eyebrow-dot\"><\/span>\n              Arizona voters &#038; AI-generated content\n            <\/div>\n            <h2 class=\"hero-title\">\n              How Arizonans feel about deepfakes, news, and AI in politics\n            <\/h2>\n            <p class=\"hero-subtitle\">\n              A statewide online survey of 500 Arizona adults on awareness of\n              AI-generated content, trust in news, perceived personal risk, and\n              support for regulating deepfakes.\n            <\/p>\n\n            <div class=\"hero-meta\">\n              <div class=\"pill\">\n                <strong>Sample<\/strong> 500 AZ adults (weighted)\n              <\/div>\n              <div class=\"pill\"><strong>Fieldwork<\/strong> Nov 17\u201318, 2025<\/div>\n              <div class=\"pill\">\n                <strong>Margin of error<\/strong> \u2248 \u00b14.4 pts\n              <\/div>\n            <\/div>\n\n            <nav class=\"pill-nav\">\n              <a href=\"#overview\" class=\"active\">Overview<\/a>\n              <a href=\"#news-trust\">News &#038; AI<\/a>\n              <a href=\"#politics\">AI in politics<\/a>\n              <a href=\"#risk\">Risk &#038; consent<\/a>\n              <a href=\"#demographics\">Demographics<\/a>\n            <\/nav>\n          <\/div>\n\n          <div class=\"hero-right\">\n            <div class=\"hero-card\">\n              <div class=\"hero-card-header\">\n                <div>\n                  <div class=\"hero-card-title\">Topline signal<\/div>\n                <\/div>\n                <div class=\"hero-chip\">\ud83d\udc40 High awareness, low trust<\/div>\n              <\/div>\n\n              <div class=\"key-metrics\">\n                <div class=\"metric\">\n                  <div class=\"metric-label\">\n                    Have seen AI-generated content online\n                  <\/div>\n                  <div class=\"metric-value\">93%<\/div>\n                <\/div>\n                <div class=\"metric\">\n                  <div class=\"metric-label\">\n                    Lose trust if news used AI visuals\n                  <\/div>\n                  <div class=\"metric-value\">61%<\/div>\n                <\/div>\n                <div class=\"metric\">\n                  <div class=\"metric-label\">\n                    Want deepfakes labeled as artificial\n                  <\/div>\n                  <div class=\"metric-value\">91%<\/div>\n                <\/div>\n              <\/div>\n\n              <div class=\"metric-footnote\">\n                Figures shown are weighted percentages from the survey you\n                provided. Hover over the charts below for precise values and\n                breakdowns.\n              <\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/header>\n\n      <!-- OVERVIEW -->\n      <section id=\"overview\" class=\"section\">\n        <div class=\"section-inner\">\n          <div class=\"section-header\">\n            <div class=\"section-title\">\n              <span class=\"section-kicker\">Section 01<\/span>\n              <h2>Overview &#038; key takeaways<\/h2>\n            <\/div>\n            <p>\n              Arizonans have already internalized AI and deepfakes as a\n              real-world risk. Awareness is high, tolerance for personal misuse\n              is low, and there is broad appetite for labeling and regulation.\n            <\/p>\n          <\/div>\n\n          <div>\n            <div class=\"card\">\n              <h3>What stands out at a glance<\/h3>\n              <ul class=\"key-list\">\n                <li>\n                  <strong>AI is already mainstream:<\/strong> 93% say they&#8217;ve\n                  seen AI-generated content online.\n                <\/li>\n                <li>\n                  <strong>News credibility is fragile:<\/strong> 61% would\n                  <em>lose trust in the news<\/em> if they found out images or\n                  videos used were AI-generated; only 39% say their trust\n                  wouldn&#8217;t change.\n                <\/li>\n                <li>\n                  <strong>Personal boundaries are clear:<\/strong> 87% say they\n                  would <em>pas<\/em> be okay with AI creating compromising fake\n                  images or videos of them.\n                <\/li>\n                <li>\n                  <strong>Labeling is a near-consensus:<\/strong> 91% believe\n                  realistic deepfakes should <em>always<\/em> be clearly labeled\n                  as artificial.\n                <\/li>\n                <li>\n                  <strong>Little patience for AI in campaigns:<\/strong> 66% say\n                  AI deepfakes in political campaigns should be banned; another\n                  29% only support them if clearly labeled. Just 5% say they\n                  should be freely allowed.\n                <\/li>\n                <li>\n                  <strong\n                    >People worry about the whole ecosystem, not a single\n                    format:<\/strong\n>\n                  77% say <em>all forms<\/em> of deepfakes worry them, not just\n                  images or video.\n                <\/li>\n              <\/ul>\n              <p class=\"tagline\">\n                All statistics are percentages of Arizona adults, weighted by\n                age and gender to match the state population profile.\n              <\/p>\n            <\/div>\n\n            <div class=\"card\" style=\"margin-top: 16px\">\n              <h3>Why this matters<\/h3>\n              <p>\n                For policymakers, platforms, and campaigns, this dataset shows\n                extremely low tolerance for deceptive AI \u2014 particularly when it\n                touches news or politics.\n              <\/p>\n              <div class=\"chip-row\">\n                <span class=\"chip\">\ud83d\udd12 Strong support for safeguards<\/span>\n                <span class=\"chip\">\ud83e\uddfe People want clear labels<\/span>\n                <span class=\"chip\">\u2696\ufe0f Preference for legal solutions<\/span>\n              <\/div>\n              <p class=\"tagline\">\n                Use the navigation chips at the top of the page to jump into\n                specific themes:\n                <strong>news &#038; trust<\/strong>, <strong>AI in campaigns<\/strong>,\n                <strong>personal risk<\/strong>et\n                <strong>demographics<\/strong>.\n              <\/p>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/section>\n\n      <!-- NEWS & TRUST -->\n      <section id=\"news-trust\" class=\"section\">\n        <div class=\"section-inner\">\n          <div class=\"section-header\">\n            <div class=\"section-title\">\n              <span class=\"section-kicker\">Section 02<\/span>\n              <h2>News, AI visuals &#038; trust<\/h2>\n            <\/div>\n            <p>\n              AI-generated content is already part of everyday online life in\n              Arizona, and it has a direct impact on whether people trust what\n              they see in the news.\n            <\/p>\n          <\/div>\n\n          <div class=\"content-grid\">\n            <div>\n              <div class=\"card\">\n                <h3>AI is already everywhere<\/h3>\n                <p>\n                  Nearly every respondent has already encountered AI-generated\n                  content online.\n                <\/p>\n                <div class=\"chart-wrapper\">\n                  <canvas id=\"q1Chart\"><\/canvas>\n                  <div class=\"chart-caption\">\n                    <strong>Q1.<\/strong> &#8220;Have you ever seen AI-generated\n                    content online?&#8221;\n                  <\/div>\n                <\/div>\n              <\/div>\n            <\/div>\n\n            <div>\n              <div class=\"card\">\n                <h3>AI in the news undermines trust<\/h3>\n                <p>\n                  Most Arizonans say discovering that news images or video were\n                  AI-generated would make them trust the news less \u2014 especially\n                  younger adults.\n                <\/p>\n\n                <div class=\"chart-wrapper\">\n                  <div class=\"control-row\">\n                    <label for=\"q2Breakdown\">\n                      View trust impact\n                      <span style=\"opacity: 0.7\">(overall or by age)<\/span>\n                    <\/label>\n                    <select id=\"q2Breakdown\" class=\"select\">\n                      <option value=\"overall\">Overall<\/option>\n                      <option value=\"age\">By age group<\/option>\n                    <\/select>\n                  <\/div>\n                  <canvas id=\"q2Chart\"><\/canvas>\n                  <div class=\"chart-caption\">\n                    <strong>Q2.<\/strong> &#8220;How would you react if you found out\n                    images or videos on the news were AI-generated?&#8221;\n                  <\/div>\n                <\/div>\n\n                <p class=\"tagline\">\n                  Among 18\u201329 year-olds, about <strong>68%<\/strong> say they\n                  would lose trust in the news if they learned visuals were\n                  AI-generated, compared to 56\u201359% among older age groups.\n                <\/p>\n              <\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/section>\n\n      <!-- AI IN POLITICS -->\n      <section id=\"politics\" class=\"section\">\n        <div class=\"section-inner\">\n          <div class=\"section-header\">\n            <div class=\"section-title\">\n              <span class=\"section-kicker\">Section 03<\/span>\n              <h2>AI &#038; deepfakes in political campaigns<\/h2>\n            <\/div>\n            <p>\n              AI-generated attack ads and fake endorsements are deeply unpopular\n              in Arizona, and voters want legal guardrails and labels for this\n              kind of content.\n            <\/p>\n            <div class=\"section-badge\">\n              94% say harmful political deepfakes should be banned or clearly\n              labeled\n            <\/div>\n          <\/div>\n\n          <div class=\"content-grid\">\n            <div>\n              <div class=\"card\">\n                <h3>Little tolerance for AI in campaigns<\/h3>\n                <p>\n                  Two-thirds want AI deepfakes in campaigns banned outright, and\n                  another third would only accept them with clear labeling.\n                  Gender differences are small but real.\n                <\/p>\n\n                <div class=\"chart-wrapper\">\n                  <div class=\"control-row\">\n                    <label for=\"q5Mode\">View responses<\/label>\n                    <select id=\"q5Mode\" class=\"select\">\n                      <option value=\"overall\">Overall<\/option>\n                      <option value=\"gender\">By gender<\/option>\n                    <\/select>\n                  <\/div>\n                  <canvas id=\"q5Chart\"><\/canvas>\n                  <div class=\"chart-caption\">\n                    <strong>Q5.<\/strong> &#8220;Should political campaigns in Arizona\n                    be allowed to use AI-generated content, such as videos\n                    mocking their opponents or fake endorsements?&#8221;\n                  <\/div>\n                <\/div>\n\n                <p class=\"tagline\">\n                  Overall, <strong>65.9%<\/strong> say AI deepfakes in campaigns\n                  should be banned, <strong>28.7%<\/strong> would only allow them\n                  if clearly labeled, and just <strong>5.4%<\/strong> think they\n                  should be allowed without restrictions.\n                <\/p>\n              <\/div>\n            <\/div>\n\n            <div>\n              <div class=\"card\">\n                <h3>Voters prefer laws + technology<\/h3>\n                <p>\n                  When asked how harmful deepfakes should be addressed,\n                  Arizonans see this as both a legal and technological problem.\n                <\/p>\n\n                <div class=\"chart-wrapper\">\n                  <canvas id=\"q7Chart\"><\/canvas>\n                  <div class=\"chart-caption\">\n                    <strong>Q7.<\/strong> &#8220;What do you think is the best way to\n                    address harmful deepfake material (like scams, fake\n                    pornography, or impersonation)?&#8221;\n                  <\/div>\n                <\/div>\n\n                <ul class=\"key-list\">\n                  <li>\n                    <strong>65%<\/strong> want both new laws\n                    <em>et<\/em> investments in detection technology.\n                  <\/li>\n                  <li>\n                    <strong>24%<\/strong> focus primarily on legal regulation and\n                    criminalization.\n                  <\/li>\n                  <li>\n                    Seulement <strong>11%<\/strong> prefer to leave rules to private\n                    companies alone.\n                  <\/li>\n                <\/ul>\n                <p class=\"tagline\">\n                  For policymakers, the clear signal is that voters expect\n                  public-sector action, not just platform policies.\n                <\/p>\n              <\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/section>\n\n      <!-- PERSONAL RISK & CONSENT -->\n      <section id=\"risk\" class=\"section\">\n        <div class=\"section-inner\">\n          <div class=\"section-header\">\n            <div class=\"section-title\">\n              <span class=\"section-kicker\">Section 04<\/span>\n              <h2>Personal risk &#038; consent<\/h2>\n            <\/div>\n            <p>\n              People are overwhelmingly uncomfortable with their own likeness\n              being cloned or manipulated, and they see deepfakes as a broad\n              ecosystem risk rather than a narrow technical issue.\n            <\/p>\n          <\/div>\n\n          <div class=\"content-grid\">\n            <div>\n              <div class=\"card\">\n                <h3>Almost no one is okay with personal deepfakes<\/h3>\n                <p>\n                  When asked whether they would be comfortable with AI creating\n                  fake compromising content of themselves, opposition is nearly\n                  unanimous.\n                <\/p>\n                <div class=\"chart-wrapper\">\n                  <canvas id=\"q3Chart\"><\/canvas>\n                  <div class=\"chart-caption\">\n                    <strong>Q3.<\/strong> &#8220;Would you be comfortable with AI\n                    technology creating fake images or videos of you in\n                    compromising or inappropriate situations?&#8221;\n                  <\/div>\n                <\/div>\n                <p class=\"tagline\">\n                  <strong>87.2%<\/strong> say they would <em>pas<\/em> be okay\n                  with that. Only <strong>12.8%<\/strong> say they &#8220;wouldn&#8217;t\n                  mind&#8221; their likeness being cloned by AI.\n                <\/p>\n              <\/div>\n            <\/div>\n\n            <div>\n              <div class=\"card\">\n                <h3>People worry about deepfakes in every format<\/h3>\n                <p>\n                  When asked which type of deepfake worries them most, most\n                  Arizonans don&#8217;t single out one format \u2014 they&#8217;re concerned\n                  about all of them.\n                <\/p>\n                <div class=\"chart-wrapper\">\n                  <canvas id=\"q6Chart\"><\/canvas>\n                  <div class=\"chart-caption\">\n                    <strong>Q6.<\/strong> &#8220;Which type of deepfake worries you the\n                    most?&#8221;\n                  <\/div>\n                <\/div>\n                <ul class=\"key-list\">\n                  <li>\n                    <strong>76.5%<\/strong> say\n                    <em>all forms of AI-generated deepfakes<\/em> worry them.\n                  <\/li>\n                  <li>\n                    <strong>10.6%<\/strong> are most worried about AI-generated\n                    voice\/audio.\n                  <\/li>\n                  <li>\n                    <strong>7.6%<\/strong> about AI-generated videos, and\n                    <strong>5.3%<\/strong> about images.\n                  <\/li>\n                <\/ul>\n                <p class=\"tagline\">\n                  This suggests communications and policy should treat deepfakes\n                  as a broad trust problem, not just an image or video issue.\n                <\/p>\n              <\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/section>\n\n      <!-- DEMOGRAPHICS & METHODOLOGY -->\n      <section id=\"demographics\" class=\"section\">\n        <div class=\"section-inner\">\n          <div class=\"section-header\">\n            <div class=\"section-title\">\n              <span class=\"section-kicker\">Section 05<\/span>\n              <h2>Who we heard from<\/h2>\n            <\/div>\n            <p>\n              The survey is a weighted sample of 500 adults living in Arizona,\n              with respondents drawn primarily from the Phoenix and Tucson media\n              markets.\n            <\/p>\n          <\/div>\n\n          <div class=\"content-grid\">\n            <div>\n              <div class=\"card\">\n                <h3>Sample profile (weighted)<\/h3>\n\n                <div class=\"two-col-small\">\n                  <div>\n                    <div class=\"muted-label\">Gender<\/div>\n                    <div class=\"chart-wrapper\">\n                      <canvas id=\"genderChart\"><\/canvas>\n                      <div class=\"chart-caption\">\n                        Approximately <strong>50%<\/strong> female and\n                        <strong>50%<\/strong> male after weighting.\n                      <\/div>\n                    <\/div>\n                  <\/div>\n                  <div>\n                    <div class=\"muted-label\">Age<\/div>\n                    <div class=\"chart-wrapper\">\n                      <canvas id=\"ageChart\"><\/canvas>\n                      <div class=\"chart-caption\">\n                        Age 18\u201329 (<strong>34%<\/strong>), 30\u201344\n                        (<strong>29%<\/strong>), 45\u201364 (<strong>37%<\/strong>).\n                      <\/div>\n                    <\/div>\n                  <\/div>\n                <\/div>\n\n                <p class=\"tagline\">\n                  Weights are applied so that the sample matches Arizona&#8217;s adult\n                  population on age and gender.\n                <\/p>\n              <\/div>\n            <\/div>\n\n            <div>\n              <div class=\"card\">\n                <h3>Geography &#038; methodology<\/h3>\n                <p>\n                  The survey was fielded via online respondents in Arizona on\n                  November 17\u201318, 2025.\n                <\/p>\n                <ul class=\"key-list\">\n                  <li>\n                    <strong>Media markets:<\/strong> Roughly\n                    <strong>83%<\/strong> from the Phoenix DMA,\n                    <strong>15%<\/strong> from Tucson, and the remainder from\n                    Yuma or overlapping markets.\n                  <\/li>\n                  <li>\n                    <strong>Mode:<\/strong> Online survey of adults living in\n                    Arizona, using quotas and weighting.\n                  <\/li>\n                  <li>\n                    <strong>Weights:<\/strong> Post-stratification weights align\n                    the sample to the Arizona adult population on age and\n                    gender.\n                  <\/li>\n                <\/ul>\n\n                <div class=\"footnote\">\n                  Margin of sampling error is approximately \u00b14.4 percentage\n                  points at the 95% confidence level for findings near 50%.\n                  Actual uncertainty may be larger for subgroups and rare\n                  responses.\n                <\/div>\n              <\/div>\n            <\/div>\n          <\/div>\n        <\/div>\n      <\/section>\n    <\/div>\n\n    <script>\n      document.addEventListener(\"DOMContentLoaded\", function () {\n        \/\/ Global Chart.js styling for light theme\n        Chart.defaults.font.family =\n          \"'Inter', system-ui, -apple-system, BlinkMacSystemFont, sans-serif\";\n        Chart.defaults.color = \"#0f172a\";\n\n        const axisGridColor = \"rgba(209,213,219,0.8)\";\n        const axisTickColor = \"#6b7280\";\n\n        const baseColors = [\n          \"#2563eb\", \/\/ blue\n          \"#0ea5e9\", \/\/ cyan\n          \"#22c55e\", \/\/ green\n          \"#f97316\", \/\/ orange\n          \"#facc15\", \/\/ amber\n          \"#ef4444\", \/\/ red\n          \"#6366f1\", \/\/ indigo\n          \"#14b8a6\", \/\/ teal\n        ];\n\n        function percentAxisOptions() {\n          return {\n            beginAtZero: true,\n            suggestedMax: 100,\n            ticks: {\n              color: axisTickColor,\n              callback: (value) => value + \"%\",\n            },\n            grid: {\n              color: axisGridColor,\n              drawBorder: false,\n            },\n          };\n        }\n\n        function tooltipPercentCallback(context) {\n          const label = context.dataset.label || \"\";\n          const value = context.parsed.y ?? context.parsed;\n          const suffix =\n            typeof value === \"number\" ? value.toFixed(1) + \"%\" : \"\";\n          if (!label) return suffix;\n          return label + \": \" + suffix;\n        }\n\n        \/\/ Q1: Have you seen AI content online? 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