[{"data":1,"prerenderedAt":6550},["ShallowReactive",2],{"topic-list-all-locales":3,"popular-tags-zh-hant":77,"blog-block-zh-hant":103},{"zh-hans":4,"zh-hant":41,"en":62,"ja":67,"ko":72},[5,9,12,15,19,23,26,29,33,37],{"slug":6,"title":7,"createdAt":8},"douyin-dingtalk-emoji-comparison","🙂 抖音表情、钉钉表情和 Emoji 对照表","2026-10-02",{"slug":10,"title":11,"createdAt":8},"wechat-dingtalk-emoji-comparison","😊 微信表情、钉钉表情和 Emoji 对照表",{"slug":13,"title":14,"createdAt":8},"wechat-douyin-dingtalk-emoji-comparison","🧩 微信表情、抖音表情、钉钉表情和 Emoji 对照表",{"slug":16,"title":17,"createdAt":18},"wechat-douyin-emoji-comparison","😀 微信表情、抖音表情和 Emoji 对照表","2026-09-27",{"slug":20,"title":21,"createdAt":22},"dingtalk-emoji-comparison","🪽 钉钉表情和 Emoji 对照表","2026-07-25",{"slug":24,"title":25,"createdAt":22},"douyin-emoji-comparison","🎵 抖音表情和 Emoji 对照表",{"slug":27,"title":28,"createdAt":22},"wechat-emoji-comparison","💬 微信表情和 Emoji 对照表",{"slug":30,"title":31,"createdAt":32},"xiaohongshu","📱 小红书常用 Emoji 速查表","2026-06-02",{"slug":34,"title":35,"createdAt":36},"e-commerce","🛒 电商常用 Emoji 速查表","2026-05-26",{"slug":38,"title":39,"createdAt":40},"docs","📑 文档常用 Emoji 速查表","2026-05-25",[42,44,46,48,50,52,54,56,58,60],{"slug":6,"title":43,"createdAt":8},"🙂 抖音表情、釘釘表情和 Emoji 對照表",{"slug":10,"title":45,"createdAt":8},"😊 微信表情、釘釘表情和 Emoji 對照表",{"slug":13,"title":47,"createdAt":8},"🧩 微信表情、抖音表情、釘釘表情和 Emoji 對照表",{"slug":16,"title":49,"createdAt":18},"😀 微信表情、抖音表情和 Emoji 對照表",{"slug":20,"title":51,"createdAt":22},"🪽 釘釘表情和 Emoji 對照表",{"slug":24,"title":53,"createdAt":22},"🎵 抖音表情和 Emoji 對照表",{"slug":27,"title":55,"createdAt":22},"💬 微信表情和 Emoji 對照表",{"slug":30,"title":57,"createdAt":32},"📱 小紅書常用 Emoji 速查表",{"slug":34,"title":59,"createdAt":36},"🛒 電商常用 Emoji 速查表",{"slug":38,"title":61,"createdAt":40},"📑 文件常用 Emoji 速查表",[63,65],{"slug":34,"title":64,"createdAt":36},"🛒 Common Emoji Cheat Sheet for E-commerce",{"slug":38,"title":66,"createdAt":40},"📑 Common Emoji Cheat Sheet for Documentation",[68,70],{"slug":34,"title":69,"createdAt":36},"🛒 eコマースでよく使う絵文字一覧",{"slug":38,"title":71,"createdAt":40},"📑 ドキュメントでよく使う絵文字早見表",[73,75],{"slug":34,"title":74,"createdAt":36},"🛒 이커머스에 자주 쓰는 이모지 치트시트",{"slug":38,"title":76,"createdAt":40},"📑 문서에 자주 쓰는 이모지 치트시트",{"tags":78},[79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102],"臉","動物","男","女","男人","運動","行動不便","人物","親子","食物","女人","家庭","球","手","水果","面右","人","男孩","方形","女孩","表情","天氣","按鈕","輪椅",[104,822,1120],{"id":105,"title":106,"author":107,"authorSlug":108,"body":109,"createdAt":809,"description":810,"extension":811,"meta":812,"navigation":813,"path":814,"seo":815,"slug":816,"stem":817,"summary":818,"tags":819,"updatedAt":809,"__hash__":821},"blog\u002Fzh-hant\u002Fblog\u002Femoji-history.md","從\":-)\"到\"😂\"：一文看懂Emoji的前世今生","Andy Wu","andy-wu",{"type":110,"value":111,"toc":777},"minimark",[112,117,126,131,143,147,151,158,167,177,180,194,197,200,203,289,300,304,313,316,335,339,350,357,360,379,383,386,401,405,408,414,418,421,434,444,447,462,465,469,472,482,495,503,507,510,513,620,624,628,635,638,641,652,656,663,671,681,685,689,696,700,707,710,713,717,723,734,737,742],[113,114,116],"h2",{"id":115},"引言一個改變人類表達方式的符號","引言：一個改變人類表達方式的符號",[118,119,120,121,125],"p",{},"2026年的今天，全球每天發送的 Emoji 超過",[122,123,124],"strong",{},"100 億次","。你在 WeChat 裡回一個「😂」，在郵件末尾加一個「🙏」，在 Slack 裡用「🚀」表示專案上線——這一切如此自然。我們在使用 Emoji 時很少會去想，這些像圖片一樣的符號是怎麼出現的？",[118,127,128],{},[122,129,130],{},"這些小小的彩色方塊，究竟是從哪裡來的？",[118,132,133,134,138,139,142],{},"它們的誕生，遠比大多數人想像的要曲折。今天，我們就來完整梳理這段從 ",[135,136,137],"code",{},":-)"," 到 ",[135,140,141],{},"😂"," 的 44 年旅程。",[113,144,146],{"id":145},"一史前時代當人類第一次想用文字表達笑1982","一、史前時代：當人類第一次想用文字表達「笑」（1982）",[148,149,150],"h3",{"id":150},"那個改變一切的冒號",[118,152,153,154,157],{},"1982 年 9 月 19 日，美國卡內基梅隆大學的計算機科學教授 ",[122,155,156],{},"Scott Fahlman"," 在校內 BBS 上發了一則貼文：",[159,160,161],"blockquote",{},[118,162,163,164,166],{},"I propose that the following character sequence for joke markers: ",[122,165,137],{},"\nRead it sideways.",[118,168,169,170,172,173,176],{},"他建議用 ",[135,171,137],{}," 表示「開心」，用 ",[135,174,175],{},":-("," 標記「難過」。",[118,178,179],{},"這個提議的初衷非常務實——在純文字的 BBS 裡，人們無法簡潔高效地傳遞情緒，分辨一句諷刺到底是開玩笑還是真生氣，很多玩笑被誤讀為嚴肅批評。",[118,181,182,183,185,186,189,190,193],{},"至此，一個新的事物正式誕生了，",[135,184,137],{}," 這種由 ASCII 符號組成表情被稱為",[122,187,188],{},"顏文字","或",[122,191,192],{},"Emoticon","。",[118,195,196],{},"Fahlman 教授大概沒想到，這串簡簡單單的三個字元，會成為一種全球性視覺語言的起點。",[148,198,199],{"id":199},"顏文字的野蠻生長",[118,201,202],{},"此後，顏文字的發展進入了快車道，各種新的表情被創造出來。例如：",[204,205,206,222],"table",{},[207,208,209],"thead",{},[210,211,212,216,219],"tr",{},[213,214,215],"th",{},"符號",[213,217,218],{},"含義",[213,220,221],{},"出現年代",[223,224,225,238,251,263,276],"tbody",{},[210,226,227,232,235],{},[228,229,230],"td",{},[135,231,137],{},[228,233,234],{},"微笑",[228,236,237],{},"1982",[210,239,240,245,248],{},[228,241,242],{},[135,243,244],{},";-)",[228,246,247],{},"眨眼",[228,249,250],{},"1980s",[210,252,253,258,261],{},[228,254,255],{},[135,256,257],{},":-D",[228,259,260],{},"大笑",[228,262,250],{},[210,264,265,270,273],{},[228,266,267],{},[135,268,269],{},">_\u003C",[228,271,272],{},"抓狂",[228,274,275],{},"1990s",[210,277,278,283,286],{},[228,279,280],{},[135,281,282],{},"(╯°□°）╯︵ ┻━┻",[228,284,285],{},"掀桌",[228,287,288],{},"2000s",[118,290,291,292,295,296,299],{},"日本使用者還發展出了獨立的顏文字體系（如 ",[135,293,294],{},"(^_^)","、",[135,297,298],{},"(；一_一)","），不需要歪頭看，正著就能讀懂——這為後來真正的「繪文字」埋下了伏筆。",[113,301,303],{"id":302},"二誕生1999-年日本繪文字元年","二、誕生：1999 年，日本「繪文字」元年",[118,305,306,307,309,310,193],{},"當西方世界還在歪著頭看 ",[135,308,137],{}," 時，日本網民創造了一種無需轉頭就能讀懂的表情符號—— ",[122,311,312],{},"顏文字（Kaomoji）",[118,314,315],{},"1986 年 6 月 20 日凌晨 00:28，若林泰志（Yasushi Wakabayashi）在日本 ASCII-NET 的 PC 網路公告板上發布了「(^_^)」。與西方的橫向表情不同，顏文字是縱向排列的，眼睛、嘴巴的位置更符合人臉的自然結構，因此無需將頭歪向左側就能讀懂。",[118,317,318,319,322,323,326,327,330,331,334],{},"「Kaomoji」由日語 ",[122,320,321],{},"顔（kao，臉）"," 和 ",[122,324,325],{},"文字（moji，字元）"," 組成。這種形式迅速在日本網路文化中流行開來，衍生出了花樣繁多的變體：開心 ",[135,328,329],{},"(≧▽≦)","、掀桌 ",[135,332,333],{},"(╯°□°)╯︵ ┻━┻"," 等等。它們比 ASCII 表情更生動、更富有表現力、更豐富多彩，也為後來 Emoji 的誕生奠定了基礎。",[148,336,338],{"id":337},"ntt-docomo-的-176-個像素畫","NTT DoCoMo 的 176 個像素畫",[118,340,341,342,345,346,349],{},"1999 年，日本電信營運商 NTT DoCoMo 推出了 i-mode 行動上網服務。為了讓簡訊和網頁更有表現力，設計師 ",[122,343,344],{},"栗田穰崇（Shigetaka Kurita）"," 在 12×12 像素的方格裡，畫出了 ",[122,347,348],{},"176 個"," 圖形符號。",[118,351,352,353,356],{},"他管這些東西叫 ",[122,354,355],{},"「繪文字」（えもじ \u002F Emoji）","——「繪」（e）是圖畫，「文字」（moji）是字元。這就是「Emoji」這個詞的來源。",[118,358,359],{},"這 176 個符號包括：",[361,362,363,367,370,373,376],"ul",{},[364,365,366],"li",{},"☀️🌧️❄️ 天氣",[364,368,369],{},"🚗🚃✈️ 交通",[364,371,372],{},"❤️💔 情感",[364,374,375],{},"📱💻 科技",[364,377,378],{},"🍔🍜 食物",[148,380,382],{"id":381},"為什麼是日本","為什麼是日本？",[118,384,385],{},"Emoji 誕生在日本絕非偶然：",[387,388,389,395],"ol",{},[364,390,391,394],{},[122,392,393],{},"漢字文化基礎","：日語本身就大量使用表意文字，使用者對「一個符號=一個含義」的接受度天然更高。",[364,396,397,400],{},[122,398,399],{},"呼叫器（Pager）時代","：1990 年代日本高中生用呼叫器互發訊息，已經流行用數字諧音（如「0840」=「おはよう」）和簡單符號傳情達意。",[148,402,404],{"id":403},"三足鼎立的混亂期19992010","三足鼎立的混亂期（1999–2010）",[118,406,407],{},"日本三大營運商各自為政，都各自搞了一套 Emoji 編碼，互不相容，加上後來 Apple 在 2008 年為日本市場 iPhone 加入 Emoji 支援，導致各種 Emoji 變得混亂，你從 DoCoMo 手機發一個😊，對方用 au 手機收到的可能是一團亂碼。",[118,409,410,411],{},"這種亂象之下， ",[122,412,413],{},"Emoji 迫切需要一套統一標準。",[113,415,417],{"id":416},"三正名unicode-收編-emoji2010","三、正名：Unicode 收編 Emoji（2010）",[148,419,420],{"id":420},"一封改變歷史的提案",[118,422,423,424,295,427,322,430,433],{},"2007 年，Google 的 ",[122,425,426],{},"Kat Momii",[122,428,429],{},"Mark Davis",[122,431,432],{},"Peter Edberg"," 向 Unicode 聯盟提交了一份提案，請求將 Emoji 納入 Unicode 標準。",[118,435,436,437,440,441,193],{},"經過三年討論，",[122,438,439],{},"2010 年 10 月，Unicode 6.0 正式發布","，收錄了",[122,442,443],{},"722 個 Emoji 字元",[118,445,446],{},"這意味著：",[361,448,449,456,459],{},[364,450,451,452,455],{},"✅ 每個 Emoji 有了唯一的碼位（如 😂 = ",[135,453,454],{},"U+1F602","）",[364,457,458],{},"✅ 跨平台、跨語言傳輸不再亂碼",[364,460,461],{},"✅ 任何作業系統、任何輸入法都可以實現自己的渲染",[118,463,464],{},"Emoji 終於從一個流行日本的次文化正式變身為國際標準。Unicode 的介入不僅解決了相容性問題，更重要的是賦予了 Emoji 標準化、可擴充性和跨平台一致性。從此，Emoji 不再依附於某一家公司的私有標準，而是像字母和數字一樣，成為了網際網路基礎設施的一部分。",[148,466,468],{"id":467},"編碼細節一個-emoji-在計算機裡長什麼樣","編碼細節：一個 Emoji 在計算機裡長什麼樣？",[118,470,471],{},"以 😂（Face with Tears of Joy）為例：",[473,474,479],"pre",{"className":475,"code":477,"language":478},[476],"language-text","Unicode碼位：  U+1F602\nUTF-8編碼：    F0 9F 98 82（4位元組）\nUTF-16編碼：   D83D DE02（代理對）\nHTML實體：     😂 或 😂\nCSS寫法：      content: \"\\1F602\";\n","text",[135,480,477],{"__ignoreMap":481},"",[159,483,484],{},[118,485,486,487,490,491,494],{},"📌 對開發者來說，Emoji 在 JavaScript 中是",[122,488,489],{},"代理對（Surrogate Pair）","，",[135,492,493],{},"\"😂\".length === 2","，這是很多字串處理 bug 的根源。在 Nuxt\u002FTypeScript 專案中處理使用者輸入時尤其要注意。",[118,496,497,498,193],{},"如果你想查閱某個 Emoji 的完整編碼資訊，以及 Emoji 是由哪些符號組成的，可以查看 ",[499,500,502],"a",{"href":501},"\u002Ftools\u002Femoji-splitter","Emoji 解碼器",[113,504,506],{"id":505},"四爆發從-722-到-370020112026","四、爆發：從 722 到 3700+（2011–2026）",[118,508,509],{},"Emoji 納入 Unicode 之後，從此開啟了 Emoji 在全球的風靡。\n雖然 Unicode 在 2010 年才正式收錄 Emoji，但 Apple 早在 2008 年就已經行動。在 iOS 2.2 的日本版本中，Apple 悄悄加入了對 Emoji 鍵盤的支援。這個決定看似只是針對日本市場的在地化功能，卻為 Emoji 的全球爆發埋下了種子。\n2011 年，隨著 iOS 5.0 的發布，Apple 終於向全球使用者開放了 Emoji 鍵盤。同年，Mac OS X 10.7 Lion 也加入了 Emoji 支援。幾乎在一夜之間，全球數億 iPhone 使用者發現他們的鍵盤裡藏著一整套可愛的表情圖示。Emoji 從日本的小眾功能，變成了全球社群媒體上的流行符號。\nAndroid 陣營也在 2013 年跟上了步伐，原生支援 Emoji。至此，全球兩大行動作業系統都已擁抱 Emoji，這種小小的像素圖示正式進入了主流數位通信的每一個角落。",[148,511,512],{"id":512},"關鍵里程碑",[204,514,515,528],{},[207,516,517],{},[210,518,519,522,525],{},[213,520,521],{},"年份",[213,523,524],{},"事件",[213,526,527],{},"Emoji數量（約）",[223,529,530,541,552,563,574,585,596,607],{},[210,531,532,535,538],{},[228,533,534],{},"2010",[228,536,537],{},"Unicode 6.0 首次收錄",[228,539,540],{},"722",[210,542,543,546,549],{},[228,544,545],{},"2015",[228,547,548],{},"😂 被《牛津詞典》選為「年度詞彙」",[228,550,551],{},"~1,800",[210,553,554,557,560],{},[228,555,556],{},"2016",[228,558,559],{},"引入膚色修飾符（Fitzpatrick 量表）",[228,561,562],{},"~2,200",[210,564,565,568,571],{},[228,566,567],{},"2017",[228,569,570],{},"性別中立職業 Emoji",[228,572,573],{},"~2,600",[210,575,576,579,582],{},[228,577,578],{},"2019",[228,580,581],{},"無障礙\u002F身心障礙相關 Emoji（🦻🦽🦾）",[228,583,584],{},"~3,000",[210,586,587,590,593],{},[228,588,589],{},"2021",[228,591,592],{},"心形手勢、融化臉🫠",[228,594,595],{},"~3,300",[210,597,598,601,604],{},[228,599,600],{},"2023",[228,602,603],{},"振翅🪽、驢🫏、薑🫚",[228,605,606],{},"~3,500",[210,608,609,612,615],{},[228,610,611],{},"2025–2026",[228,613,614],{},"Unicode 16.x，持續新增",[228,616,617],{},[122,618,619],{},"3,700+",[113,621,623],{"id":622},"六emoji-與文化不只是表情","六、Emoji 與文化：不只是「表情」",[148,625,627],{"id":626},"語言的補充而非替代","語言的補充，而非替代",[118,629,630,631,634],{},"語言學家認為，Emoji 並不是在「簡化」語言，而是在",[122,632,633],{},"恢復文字交流中丟失的副語言資訊","（語氣、表情、肢體語言）。一個「好的」和「好的😊」傳達的情緒溫度截然不同。",[148,636,637],{"id":637},"跨文化歧義",[118,639,640],{},"不過，Emoji 並非完全沒有文化壁壘：",[361,642,643,646,649],{},[364,644,645],{},"🙏 在日本是「請求\u002F感謝」，在西方常被理解為「祈禱\u002FHigh Five」",[364,647,648],{},"👍 在中東部分地區曾被視為冒犯手勢",[364,650,651],{},"🍑🍆 的隱喻早已偏離本意……",[148,653,655],{"id":654},"emoji-成語當表情遇上漢語","Emoji 成語：當表情遇上漢語",[118,657,658,659,662],{},"在中文網路上，還衍生出了一種獨特玩法——",[122,660,661],{},"Emoji 成語","，用 Emoji 組合來「猜」一個四字成語：",[361,664,665,668],{},[364,666,667],{},"🐅☀️🐉🕰️ = 老態龍鍾",[364,669,670],{},"🐔🐶🔝 = 雞飛狗跳（不太對）→ 雞犬升天",[159,672,673],{},[118,674,675,676,680],{},"🎮 我們在 ",[499,677,679],{"href":678},"\u002Fidiom\u002F","HaoEmoji.com 的 Emoji 成語頻道"," 整理了數百個 Emoji 成語謎題，適合親子互動、課堂遊戲和社群媒體傳播。歡迎來挑戰！",[113,682,684],{"id":683},"七未來emoji-的下一個十年","七、未來：Emoji 的下一個十年",[148,686,688],{"id":687},"動態-emojianimated-emoji","動態 Emoji（Animated Emoji）",[118,690,691,692,695],{},"Unicode 聯盟已在討論",[122,693,694],{},"動態 Emoji","標準。未來，一個 😂 可能不再只是靜態圖片，而是帶有微動畫的「活」符號。Telegram 和 iMessage 已經率先實驗。",[148,697,699],{"id":698},"ai-生成與個人化","AI 生成與個人化",[118,701,702,703,706],{},"隨著生成式 AI 的發展，使用者可能可以",[122,704,705],{},"自訂 Emoji 風格","——用同樣的碼位，但渲染成你喜歡的畫風。",[148,708,709],{"id":709},"更深的無障礙支援",[118,711,712],{},"螢幕閱讀器對 Emoji 的朗讀支援仍在完善中。未來的方向是讓視障使用者也能「聽到」Emoji 的情感色彩，而不僅僅是「笑臉，帶眼淚」這樣的機械描述。",[113,714,716],{"id":715},"結語一個小方塊的大故事","結語：一個小方塊的大故事",[118,718,719,720,722],{},"從 1982 年 Fahlman 教授在 BBS 上敲下 ",[135,721,137],{},"，到 2026 年全球每天百億次 Emoji 發送；從 12×12 像素的 176 個日本繪文字，到 Unicode 收錄的 3700+ 個全球通用符號——",[118,724,725,726,729,730,733],{},"Emoji 的故事，本質上是一個",[122,727,728],{},"技術標準化","與",[122,731,732],{},"人類表達欲","相互成就的故事。",[118,735,736],{},"下次你按下 😂 的時候，不妨想一想：你指尖觸碰的，是 44 年歷史、橫跨三大洲、涉及數十個技術委員會協同的結晶。",[118,738,739],{},[122,740,741],{},"📚 延伸閱讀 & 實用工具：",[361,743,744,752,760,768],{},[364,745,746,747,751],{},"🔍 ",[499,748,750],{"href":749},"\u002Fzh-hant\u002F","HaoEmoji.com — 全部 Emoji 一覽與搜尋","：支援按分類、關鍵字、Unicode 碼位檢索全部 3700+ 個 Emoji",[364,753,754,755,759],{},"📋 ",[499,756,758],{"href":757},"\u002Fzh-hant\u002Ftopic\u002Fdocs","文件常用 Emoji 速查表","：寫文件、寫 README、做簡報時最常用的 Emoji 分類速查",[364,761,762,763,767],{},"🧩 ",[499,764,766],{"href":765},"\u002Fzh-hant\u002Fidiom\u002F","Emoji 成語頻道","：用 Emoji 猜成語，好玩又長知識",[364,769,770,771],{},"📖 ",[499,772,776],{"href":773,"rel":774},"https:\u002F\u002Funicode.org\u002Femoji\u002Fcharts\u002Ffull-emoji-list.html",[775],"nofollow","Unicode Emoji 官方列表",{"title":481,"searchDepth":778,"depth":779,"links":780},2,3,[781,782,786,791,795,798,803,808],{"id":115,"depth":778,"text":116},{"id":145,"depth":778,"text":146,"children":783},[784,785],{"id":150,"depth":779,"text":150},{"id":199,"depth":779,"text":199},{"id":302,"depth":778,"text":303,"children":787},[788,789,790],{"id":337,"depth":779,"text":338},{"id":381,"depth":779,"text":382},{"id":403,"depth":779,"text":404},{"id":416,"depth":778,"text":417,"children":792},[793,794],{"id":420,"depth":779,"text":420},{"id":467,"depth":779,"text":468},{"id":505,"depth":778,"text":506,"children":796},[797],{"id":512,"depth":779,"text":512},{"id":622,"depth":778,"text":623,"children":799},[800,801,802],{"id":626,"depth":779,"text":627},{"id":637,"depth":779,"text":637},{"id":654,"depth":779,"text":655},{"id":683,"depth":778,"text":684,"children":804},[805,806,807],{"id":687,"depth":779,"text":688},{"id":698,"depth":779,"text":699},{"id":709,"depth":779,"text":709},{"id":715,"depth":778,"text":716},"2026-08-18",null,"md",{},true,"\u002Fzh-hant\u002Fblog\u002Femoji-history",{"title":106},"emoji-history","zh-hant\u002Fblog\u002Femoji-history","從1982年的\":-)\"到2026年的3700+個Unicode Emoji，一文梳理表情符號44年演變史。涵蓋ASCII顏文字、日本繪文字起源、Unicode標準化歷程，以及Emoji背後的技術原理。",[820],"Emoji歷史","w5S-Q_8fPFyAzb5cuByIV0h5LUSpeD6pXV5-ocfQ434",{"id":823,"title":824,"author":107,"authorSlug":108,"body":825,"createdAt":1110,"description":810,"extension":811,"meta":1111,"navigation":813,"path":1112,"seo":1113,"slug":1114,"stem":1115,"summary":1116,"tags":1117,"updatedAt":1110,"__hash__":1119},"blog\u002Fzh-hant\u002Fblog\u002Femoji-huan-fu.md","為什麼同一個 Emoji 能「換皮膚」？一文看懂膚色 Emoji 背後的魔法",{"type":110,"value":826,"toc":1100},[827,830,834,837,840,878,882,885,890,893,965,968,976,979,983,986,989,992,996,1000,1003,1063,1067,1070,1087,1090,1093,1096],[118,828,829],{},"你有沒有碰過這樣的情況：當你點選輸入法中的某些表情，居然還能選擇不同膚色——從淺膚色到深膚色，一共五種。\n但一個 Emoji 本質上是一個字元，它到底是怎麼實現「變色」的？難道是 Unicode 聯盟（負責制定 Emoji 標準的組織）為每個膚色都單獨創造了一個新符號嗎？\n今天我們就來揭開這個看起來簡單、實際設計很巧妙的機制。",[113,831,833],{"id":832},"一-核心原理不是新圖示而是組合鍵","一、 核心原理：不是新圖示，而是「組合鍵」",[118,835,836],{},"早期的 Emoji（如日本的原始版本）大多只有一種預設的亮黃色。這種顏色被設計為「非現實膚色」，意在避免代表任何特定種族。但隨著全球使用的普及，對多元膚色代表的需求日益強烈。Unicode 聯盟（負責制定 Emoji 標準的組織）並沒有為每種膚色創造成千上萬的新 Emoji 圖示，那會極其臃腫。他們想出了一個絕妙的「組合」方案。",[118,838,839],{},"這套方案的核心是引入五個特殊的「膚色修飾符」（Fitzpatrick Scale Modifiers）。它們本身不顯示為可見的 Emoji，而是像「染色劑」一樣，可以附加在代表人體部位的 Emoji（如手、臉、身體）後面。這五個修飾符分別對應菲茨帕特里克膚色量表（一種醫學上區分膚色的方法）中的六種類型（實際上，類型 I 和 II 共享最淺的修飾符）：",[361,841,842,848,854,860,866,872],{},[364,843,844,847],{},[122,845,846],{},"Type 1",": 最淺膚色（蒼白色）",[364,849,850,853],{},[122,851,852],{},"Type 2",": 淺膚色（白色）",[364,855,856,859],{},[122,857,858],{},"Type 3",": 中等膚色（淺棕色）",[364,861,862,865],{},[122,863,864],{},"Type 4",": 中等深膚色（橄欖色）",[364,867,868,871],{},[122,869,870],{},"Type 5",": 深膚色（棕色）",[364,873,874,877],{},[122,875,876],{},"Type 6",": 最深膚色（深棕色）",[113,879,881],{"id":880},"二-組合過程一個代碼公式","二、 組合過程：一個「代碼公式」",[118,883,884],{},"2015 年，Unicode 8.0 發布了五個特殊的 Emoji 字元，它們單獨顯示時就是顏色方塊，這就是膚色修飾符（Skin Tone Modifier）。",[159,886,887],{},[118,888,889],{},"膚色修飾符 ≠ 獨立的新 Emoji，而是緊跟在基礎 Emoji 後面的一個特殊字元，用於改變基礎 Emoji 的膚色。",[118,891,892],{},"膚色修飾符包括如下 5 個：",[204,894,895,908],{},[207,896,897],{},[210,898,899,902,905],{},[213,900,901],{},"修飾符",[213,903,904],{},"Unicode 編碼",[213,906,907],{},"膚色名稱",[223,909,910,921,932,943,954],{},[210,911,912,915,918],{},[228,913,914],{},"🏻",[228,916,917],{},"U+1F3FB",[228,919,920],{},"淺膚色（Light）",[210,922,923,926,929],{},[228,924,925],{},"🏼",[228,927,928],{},"U+1F3FC",[228,930,931],{},"中等偏淺膚色（Medium-Light）",[210,933,934,937,940],{},[228,935,936],{},"🏽",[228,938,939],{},"U+1F3FD",[228,941,942],{},"中等膚色（Medium）",[210,944,945,948,951],{},[228,946,947],{},"🏾",[228,949,950],{},"U+1F3FE",[228,952,953],{},"中等偏深膚色（Medium-Dark）",[210,955,956,959,962],{},[228,957,958],{},"🏿",[228,960,961],{},"U+1F3FF",[228,963,964],{},"深膚色（Dark）",[118,966,967],{},"簡單理解：基礎 Emoji 是「主體」，膚色修飾符是「顏料」，把顏料塗在主體上，就得到了帶膚色的 Emoji。比如：",[361,969,970,973],{},[364,971,972],{},"👍（基礎按讚）+ 🏽（中等膚色修飾符）= 👍🏽（中等膚色按讚）",[364,974,975],{},"🧑（基礎成年人）+ 🏿（深膚色修飾符）= 🧑🏿（深膚色成年人）",[118,977,978],{},"作業系統或應用程式的渲染引擎在偵測到這個「基礎 Emoji + 膚色修飾符」的組合時，就會去資源庫中尋找對應的、已經繪製好的「🙋🏻」圖片來顯示，而不是現場調色。這就是為什麼不同平台（蘋果、Google、三星等）的同一膚色 Emoji，其藝術風格（髮型、表情細節、陰影）可能不同，但膚色色調是遵循同一套標準的原因。",[113,980,982],{"id":981},"三為什麼同一串代碼在不同手機上長得不一樣","三、為什麼同一串代碼，在不同手機上長得不一樣？",[118,984,985],{},"你發 👋🏽 給用 iPhone 的朋友，他看到的是偏粉調的寫實皮膚；安卓使用者看到的是扁平幾何風；Windows 電腦可能顯示得像塗了層透明釉彩。",[118,987,988],{},"原因很簡單：Unicode 只負責「規定這是什麼字元」，不負責「畫成什麼樣」。",[118,990,991],{},"所以，「同一串代碼，千張面孔」是常態。這也是為什麼有時你精心挑選的膚色 Emoji，換台裝置就「變了樣」。不過不用擔心，基礎膚色層級（淺\u002F中\u002F深）在所有平台上都是對齊的，不會出現「淺膚變深膚」的誤判。",[113,993,995],{"id":994},"四技術細節如何實現","四、技術細節：如何實現",[148,997,999],{"id":998},"_41-字串表示","4.1 字串表示",[118,1001,1002],{},"在程式設計中，膚色 Emoji 實際上是普通的 Unicode 字串。例如（以 Python 為例）：",[473,1004,1008],{"className":1005,"code":1006,"language":1007,"meta":481,"style":481},"language-python shiki shiki-themes github-dark","# 基礎揮手 Emoji\nwave = \"👋\"\n\n# 添加深膚色\nwave_dark = \"👋🏿\"  # 實際上是兩個字元的組合\n\n# 列印字元數\nprint(len(wave))      # 輸出: 1\nprint(len(wave_dark)) # 輸出: 2\n","python",[135,1009,1010,1018,1023,1028,1034,1040,1045,1051,1057],{"__ignoreMap":481},[1011,1012,1015],"span",{"class":1013,"line":1014},"line",1,[1011,1016,1017],{},"# 基礎揮手 Emoji\n",[1011,1019,1020],{"class":1013,"line":778},[1011,1021,1022],{},"wave = \"👋\"\n",[1011,1024,1025],{"class":1013,"line":779},[1011,1026,1027],{"emptyLinePlaceholder":813},"\n",[1011,1029,1031],{"class":1013,"line":1030},4,[1011,1032,1033],{},"# 添加深膚色\n",[1011,1035,1037],{"class":1013,"line":1036},5,[1011,1038,1039],{},"wave_dark = \"👋🏿\"  # 實際上是兩個字元的組合\n",[1011,1041,1043],{"class":1013,"line":1042},6,[1011,1044,1027],{"emptyLinePlaceholder":813},[1011,1046,1048],{"class":1013,"line":1047},7,[1011,1049,1050],{},"# 列印字元數\n",[1011,1052,1054],{"class":1013,"line":1053},8,[1011,1055,1056],{},"print(len(wave))      # 輸出: 1\n",[1011,1058,1060],{"class":1013,"line":1059},9,[1011,1061,1062],{},"print(len(wave_dark)) # 輸出: 2\n",[148,1064,1066],{"id":1065},"_42-渲染過程","4.2 渲染過程",[118,1068,1069],{},"當你的裝置渲染 Emoji 時，會經歷以下步驟：",[387,1071,1072,1075,1078,1081,1084],{},[364,1073,1074],{},"接收文字序列：\"👋🏿\"",[364,1076,1077],{},"識別基礎 Emoji：\"👋\"",[364,1079,1080],{},"識別膚色修飾符：\"🏿\"",[364,1082,1083],{},"查找對應的帶膚色圖形資源",[364,1085,1086],{},"渲染最終圖像",[113,1088,1089],{"id":1089},"總結",[118,1091,1092],{},"Emoji 膚色的實現是一個完美的技術設計案例：它用簡單的修飾符系統解決了複雜的表達需求，既保持了向前相容性，又為使用者提供了豐富的選擇。更重要的是，它體現了科技對多樣性和包容性的追求。",[118,1094,1095],{},"下次你再從鍵盤上滑出那排膚色選項時，不妨多看一眼：\n那不僅是 U+1F3FB 到 U+1F3FF 的五個字元，而是編碼標準、色彩科學、字體工程與社會包容性的一次完美握手。\n心理學研究早已證實：使用與自身膚色匹配的 Emoji，能顯著提升表達認同感與溝通溫度。技術沒有立場，但設計可以有溫度。當一行行冷冰冰的字元學會「換膚」，數位世界終於真正長出了人類的模樣。",[1097,1098,1099],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}",{"title":481,"searchDepth":778,"depth":779,"links":1101},[1102,1103,1104,1105,1109],{"id":832,"depth":778,"text":833},{"id":880,"depth":778,"text":881},{"id":981,"depth":778,"text":982},{"id":994,"depth":778,"text":995,"children":1106},[1107,1108],{"id":998,"depth":779,"text":999},{"id":1065,"depth":779,"text":1066},{"id":1089,"depth":778,"text":1089},"2026-05-15",{},"\u002Fzh-hant\u002Fblog\u002Femoji-huan-fu",{"title":824},"emoji-huan-fu","zh-hant\u002Fblog\u002Femoji-huan-fu","你有沒有想過：為什麼同一個 👍 表情，在你手機上可以是黑皮膚、白皮膚、黃皮膚？這背後到底藏著什麼黑科技？今天這篇文章，用最通俗的方式，帶你徹底搞懂 Emoji 膚色的實現原理。",[1118],"Emoji換膚","U3yW24qz1XMgh7xmHElSFvWeLR34kdIM2uv8Hs7xXt0",{"id":1121,"title":1122,"author":107,"authorSlug":108,"body":1123,"createdAt":6541,"description":810,"extension":811,"meta":6542,"navigation":813,"path":6543,"seo":6544,"slug":6545,"stem":6546,"summary":1127,"tags":6547,"updatedAt":6541,"__hash__":6549},"blog\u002Fzh-hant\u002Fblog\u002Fcharacter-style.md","文字樣式與 Emoji 樣式：同一個字元為何有「兩幅面孔」？",{"type":110,"value":1124,"toc":6535},[1125,1128,1131,1134,1138,1141,1144,1165,1172,1224,1227,1230,1246,1320,1324,6532],[118,1126,1127],{},"你有沒有碰過一個問題，你複製了一個 Emoji，但貼出來卻變成了黑白的。同一個字元為什麼會有兩幅面孔，一個是黑白的，一個是彩色的。這裡面有什麼門道？",[113,1129,1130],{"id":1130},"字元怎麼顯示到底是由誰決定的",[118,1132,1133],{},"一個字元怎麼顯示是不確定的，可能顯示為黑白的普通字元，也可能顯示為彩色的 Emoji。這是由渲染引擎、當前字體以及字元在 Unicode 標準中的預設呈現屬性共同決定的。比如在純文字環境中，就會顯示為黑白的普通字元，而在聊天軟體中，就會顯示為彩色的 Emoji。\n為了消除這種不確定性，明確指定顯示哪種樣式，我們需要在字元後面增加一個特殊字元，告訴系統怎麼顯示。",[113,1135,1137],{"id":1136},"變體選擇符字元的樣式開關","變體選擇符：字元的「樣式開關」",[118,1139,1140],{},"這個能讓字元顯示不同樣式的特殊字元就是「變體選擇符」。變體選擇符通常是不可見的，你看不到它的存在。",[118,1142,1143],{},"變體選擇符包括兩個：",[361,1145,1146,1156],{},[364,1147,1148,1151,1152,1155],{},[135,1149,1150],{},"U+FE0E"," ",[122,1153,1154],{},"(變體選擇符-15 \u002F VS15)","：強制將字元顯示為文字樣式（通常是黑白、單一顏色）。",[364,1157,1158,1151,1161,1164],{},[135,1159,1160],{},"U+FE0F",[122,1162,1163],{},"(變體選擇符-16 \u002F VS16)","：強制將字元顯示為 Emoji 樣式（通常是彩色、圖像化）。",[118,1166,1167,1168,1171],{},"舉個例子，笑臉符號「☺」的編碼是 ",[135,1169,1170],{},"U+263A","。添加不同的變體選擇符後，顯示效果如下：",[204,1173,1174,1190],{},[207,1175,1176],{},[210,1177,1178,1181,1184,1187],{},[213,1179,1180],{},"基礎字元",[213,1182,1183],{},"變體選擇符",[213,1185,1186],{},"顯示效果",[213,1188,1189],{},"樣式說明",[223,1191,1192,1208],{},[210,1193,1194,1198,1202,1205],{},[228,1195,1196],{},[135,1197,1170],{},[228,1199,1200],{},[135,1201,1150],{},[228,1203,1204],{},"☺",[228,1206,1207],{},"文字樣式",[210,1209,1210,1214,1218,1221],{},[228,1211,1212],{},[135,1213,1170],{},[228,1215,1216],{},[135,1217,1160],{},[228,1219,1220],{},"☺️",[228,1222,1223],{},"Emoji樣式",[118,1225,1226],{},"在 Emoji 出現之前，Unicode 聯盟就已經收錄了大量的符號類字元（如：☹︎ ☺︎ ♠︎ ♣︎ ♥︎ ♦︎）。比如這個笑臉「☺」符號，跟後來的 Emoji ☺️撞臉了。所以 Unicode 聯盟在設計 Emoji 編碼的時候沒有重新設計一個，而是借用這個笑臉的編碼。方法就是增加一個特殊的字元來實現 Emoji。可以理解為在原來黑白的字元後面，增加一個修飾符，就變成了彩色的 Emoji。這樣做既保留了歷史資料的向下相容，又滿足了現代裝置的視覺表達需求，真是一個巧妙的設計。",[113,1228,1229],{"id":1229},"特殊情況",[118,1231,1232,1233,1235,1236,1238,1239,1242,1243,1245],{},"還有一類特殊字元：鍵帽符號，包括 #、* 以及數字 0–9。\n這類字元跟普通符號不一樣：只加 ",[135,1234,1160],{}," 只能變成彩色符號，不能變成 Emoji。\n想要顯示成 #️⃣、1️⃣ 這種鍵盤按鈕樣式，必須用三段組合：原始字元 + ",[135,1237,1160],{},"（強制 Emoji） + ",[135,1240,1241],{},"U+20E3","（結合用封閉鍵帽符）\n",[135,1244,1241],{}," 是一個專門的包裹型特殊字元，作用就是給前方字元套上方形按鍵邊框；它不能單獨顯示，只能依附在前一個字元上，這也是鍵帽 Emoji 必須多一個後綴的原因。",[204,1247,1248,1260],{},[207,1249,1250],{},[210,1251,1252,1255,1257],{},[213,1253,1254],{},"編碼序列",[213,1256,1186],{},[213,1258,1259],{},"說明",[223,1261,1262,1275,1290,1304],{},[210,1263,1264,1269,1272],{},[228,1265,1266],{},[135,1267,1268],{},"U+0023",[228,1270,1271],{},"#",[228,1273,1274],{},"普通文字字元",[210,1276,1277,1284,1287],{},[228,1278,1279,1281,1282],{},[135,1280,1268],{}," + ",[135,1283,1160],{},[228,1285,1286],{},"#️",[228,1288,1289],{},"強制 Emoji 樣式（無鍵帽，僅顏色變化）",[210,1291,1292,1298,1301],{},[228,1293,1294,1281,1296],{},[135,1295,1268],{},[135,1297,1241],{},[228,1299,1300],{},"#⃣",[228,1302,1303],{},"鍵帽效果，但可能是黑白\u002F單色",[210,1305,1306,1314,1317],{},[228,1307,1308,1281,1310,1281,1312],{},[135,1309,1268],{},[135,1311,1160],{},[135,1313,1241],{},[228,1315,1316],{},"#️⃣",[228,1318,1319],{},"完整的彩色鍵帽 Emoji",[113,1321,1323],{"id":1322},"普通字元和-emoji-對照表","普通字元和 Emoji 對照表",[204,1325,1326,1340],{},[207,1327,1328],{},[210,1329,1330,1333,1336,1338],{},[213,1331,1332],{},"編碼",[213,1334,1335],{},"字元",[213,1337,1207],{},[213,1339,1223],{},[223,1341,1342,1354,1368,1382,1396,1410,1424,1438,1452,1466,1480,1494,1508,1522,1536,1550,1564,1578,1592,1606,1620,1634,1648,1662,1676,1690,1704,1718,1732,1746,1760,1774,1788,1802,1816,1830,1844,1858,1872,1886,1900,1914,1928,1942,1956,1970,1984,1998,2012,2026,2040,2054,2068,2082,2096,2110,2124,2138,2152,2166,2180,2194,2208,2222,2236,2250,2264,2278,2292,2306,2320,2334,2348,2362,2374,2388,2402,2416,2430,2444,2458,2472,2486,2500,2514,2528,2542,2556,2570,2584,2598,2612,2626,2640,2654,2668,2682,2696,2710,2724,2738,2752,2766,2780,2794,2808,2822,2836,2850,2864,2878,2892,2906,2920,2934,2948,2962,2976,2990,3004,3018,3032,3046,3060,3074,3088,3102,3116,3130,3144,3158,3172,3186,3200,3214,3228,3242,3256,3270,3284,3298,3312,3326,3340,3354,3368,3382,3396,3410,3424,3438,3452,3466,3480,3494,3508,3522,3536,3550,3564,3578,3592,3606,3620,3634,3648,3662,3676,3690,3704,3718,3732,3746,3760,3774,3788,3802,3816,3830,3844,3858,3872,3886,3900,3914,3928,3942,3956,3970,3984,3998,4012,4026,4040,4054,4068,4082,4096,4110,4124,4138,4152,4166,4180,4194,4208,4222,4236,4250,4264,4278,4292,4306,4320,4334,4348,4362,4376,4390,4404,4418,4432,4446,4460,4474,4488,4502,4516,4530,4544,4558,4572,4586,4600,4614,4628,4642,4656,4670,4684,4698,4712,4726,4740,4754,4768,4782,4796,4810,4824,4838,4852,4866,4880,4894,4908,4922,4936,4950,4964,4978,4992,5006,5020,5034,5048,5062,5076,5090,5104,5118,5132,5146,5160,5174,5188,5202,5216,5230,5244,5258,5272,5286,5300,5314,5328,5342,5356,5370,5384,5398,5412,5426,5440,5454,5468,5482,5496,5510,5524,5538,5552,5566,5580,5594,5608,5622,5636,5650,5664,5678,5692,5706,5720,5734,5748,5762,5776,5790,5804,5818,5832,5846,5860,5874,5888,5902,5916,5930,5944,5958,5972,5986,6000,6014,6028,6042,6056,6070,6084,6098,6112,6126,6140,6154,6168,6182,6196,6210,6224,6238,6252,6266,6280,6294,6308,6322,6336,6350,6364,6378,6392,6406,6420,6434,6448,6462,6476,6490,6504,6518],{},[210,1343,1344,1347,1349,1352],{},[228,1345,1346],{},"0023",[228,1348,1271],{},[228,1350,1351],{},"#︎",[228,1353,1316],{},[210,1355,1356,1359,1362,1365],{},[228,1357,1358],{},"002A",[228,1360,1361],{},"*",[228,1363,1364],{},"*︎",[228,1366,1367],{},"*️⃣",[210,1369,1370,1373,1376,1379],{},[228,1371,1372],{},"0030",[228,1374,1375],{},"0",[228,1377,1378],{},"0︎",[228,1380,1381],{},"0️⃣",[210,1383,1384,1387,1390,1393],{},[228,1385,1386],{},"0031",[228,1388,1389],{},"1",[228,1391,1392],{},"1︎",[228,1394,1395],{},"1️⃣",[210,1397,1398,1401,1404,1407],{},[228,1399,1400],{},"0032",[228,1402,1403],{},"2",[228,1405,1406],{},"2︎",[228,1408,1409],{},"2️⃣",[210,1411,1412,1415,1418,1421],{},[228,1413,1414],{},"0033",[228,1416,1417],{},"3",[228,1419,1420],{},"3︎",[228,1422,1423],{},"3️⃣",[210,1425,1426,1429,1432,1435],{},[228,1427,1428],{},"0034",[228,1430,1431],{},"4",[228,1433,1434],{},"4︎",[228,1436,1437],{},"4️⃣",[210,1439,1440,1443,1446,1449],{},[228,1441,1442],{},"0035",[228,1444,1445],{},"5",[228,1447,1448],{},"5︎",[228,1450,1451],{},"5️⃣",[210,1453,1454,1457,1460,1463],{},[228,1455,1456],{},"0036",[228,1458,1459],{},"6",[228,1461,1462],{},"6︎",[228,1464,1465],{},"6️⃣",[210,1467,1468,1471,1474,1477],{},[228,1469,1470],{},"0037",[228,1472,1473],{},"7",[228,1475,1476],{},"7︎",[228,1478,1479],{},"7️⃣",[210,1481,1482,1485,1488,1491],{},[228,1483,1484],{},"0038",[228,1486,1487],{},"8",[228,1489,1490],{},"8︎",[228,1492,1493],{},"8️⃣",[210,1495,1496,1499,1502,1505],{},[228,1497,1498],{},"0039",[228,1500,1501],{},"9",[228,1503,1504],{},"9︎",[228,1506,1507],{},"9️⃣",[210,1509,1510,1513,1516,1519],{},[228,1511,1512],{},"00A9",[228,1514,1515],{},"©",[228,1517,1518],{},"©︎",[228,1520,1521],{},"©️",[210,1523,1524,1527,1530,1533],{},[228,1525,1526],{},"00AE",[228,1528,1529],{},"®",[228,1531,1532],{},"®︎",[228,1534,1535],{},"®️",[210,1537,1538,1541,1544,1547],{},[228,1539,1540],{},"203C",[228,1542,1543],{},"‼",[228,1545,1546],{},"‼︎",[228,1548,1549],{},"‼️",[210,1551,1552,1555,1558,1561],{},[228,1553,1554],{},"2049",[228,1556,1557],{},"⁉",[228,1559,1560],{},"⁉︎",[228,1562,1563],{},"⁉️",[210,1565,1566,1569,1572,1575],{},[228,1567,1568],{},"2122",[228,1570,1571],{},"™",[228,1573,1574],{},"™︎",[228,1576,1577],{},"™️",[210,1579,1580,1583,1586,1589],{},[228,1581,1582],{},"2139",[228,1584,1585],{},"ℹ",[228,1587,1588],{},"ℹ︎",[228,1590,1591],{},"ℹ️",[210,1593,1594,1597,1600,1603],{},[228,1595,1596],{},"2194",[228,1598,1599],{},"↔",[228,1601,1602],{},"↔︎",[228,1604,1605],{},"↔️",[210,1607,1608,1611,1614,1617],{},[228,1609,1610],{},"2195",[228,1612,1613],{},"↕",[228,1615,1616],{},"↕︎",[228,1618,1619],{},"↕️",[210,1621,1622,1625,1628,1631],{},[228,1623,1624],{},"2196",[228,1626,1627],{},"↖",[228,1629,1630],{},"↖︎",[228,1632,1633],{},"↖️",[210,1635,1636,1639,1642,1645],{},[228,1637,1638],{},"2197",[228,1640,1641],{},"↗",[228,1643,1644],{},"↗︎",[228,1646,1647],{},"↗️",[210,1649,1650,1653,1656,1659],{},[228,1651,1652],{},"2198",[228,1654,1655],{},"↘",[228,1657,1658],{},"↘︎",[228,1660,1661],{},"↘️",[210,1663,1664,1667,1670,1673],{},[228,1665,1666],{},"2199",[228,1668,1669],{},"↙",[228,1671,1672],{},"↙︎",[228,1674,1675],{},"↙️",[210,1677,1678,1681,1684,1687],{},[228,1679,1680],{},"21A9",[228,1682,1683],{},"↩",[228,1685,1686],{},"↩︎",[228,1688,1689],{},"↩️",[210,1691,1692,1695,1698,1701],{},[228,1693,1694],{},"21AA",[228,1696,1697],{},"↪",[228,1699,1700],{},"↪︎",[228,1702,1703],{},"↪️",[210,1705,1706,1709,1712,1715],{},[228,1707,1708],{},"231A",[228,1710,1711],{},"⌚",[228,1713,1714],{},"⌚︎",[228,1716,1717],{},"⌚️",[210,1719,1720,1723,1726,1729],{},[228,1721,1722],{},"231B",[228,1724,1725],{},"⌛",[228,1727,1728],{},"⌛︎",[228,1730,1731],{},"⌛️",[210,1733,1734,1737,1740,1743],{},[228,1735,1736],{},"2328",[228,1738,1739],{},"⌨",[228,1741,1742],{},"⌨︎",[228,1744,1745],{},"⌨️",[210,1747,1748,1751,1754,1757],{},[228,1749,1750],{},"23CF",[228,1752,1753],{},"⏏",[228,1755,1756],{},"⏏︎",[228,1758,1759],{},"⏏️",[210,1761,1762,1765,1768,1771],{},[228,1763,1764],{},"23E9",[228,1766,1767],{},"⏩",[228,1769,1770],{},"⏩︎",[228,1772,1773],{},"⏩️",[210,1775,1776,1779,1782,1785],{},[228,1777,1778],{},"23EA",[228,1780,1781],{},"⏪",[228,1783,1784],{},"⏪︎",[228,1786,1787],{},"⏪️",[210,1789,1790,1793,1796,1799],{},[228,1791,1792],{},"23EB",[228,1794,1795],{},"⏫",[228,1797,1798],{},"⏫︎",[228,1800,1801],{},"⏫️",[210,1803,1804,1807,1810,1813],{},[228,1805,1806],{},"23EC",[228,1808,1809],{},"⏬",[228,1811,1812],{},"⏬︎",[228,1814,1815],{},"⏬️",[210,1817,1818,1821,1824,1827],{},[228,1819,1820],{},"23ED",[228,1822,1823],{},"⏭",[228,1825,1826],{},"⏭︎",[228,1828,1829],{},"⏭️",[210,1831,1832,1835,1838,1841],{},[228,1833,1834],{},"23EE",[228,1836,1837],{},"⏮",[228,1839,1840],{},"⏮︎",[228,1842,1843],{},"⏮️",[210,1845,1846,1849,1852,1855],{},[228,1847,1848],{},"23EF",[228,1850,1851],{},"⏯",[228,1853,1854],{},"⏯︎",[228,1856,1857],{},"⏯️",[210,1859,1860,1863,1866,1869],{},[228,1861,1862],{},"23F0",[228,1864,1865],{},"⏰",[228,1867,1868],{},"⏰︎",[228,1870,1871],{},"⏰️",[210,1873,1874,1877,1880,1883],{},[228,1875,1876],{},"23F1",[228,1878,1879],{},"⏱",[228,1881,1882],{},"⏱︎",[228,1884,1885],{},"⏱️",[210,1887,1888,1891,1894,1897],{},[228,1889,1890],{},"23F2",[228,1892,1893],{},"⏲",[228,1895,1896],{},"⏲︎",[228,1898,1899],{},"⏲️",[210,1901,1902,1905,1908,1911],{},[228,1903,1904],{},"23F3",[228,1906,1907],{},"⏳",[228,1909,1910],{},"⏳︎",[228,1912,1913],{},"⏳️",[210,1915,1916,1919,1922,1925],{},[228,1917,1918],{},"23F8",[228,1920,1921],{},"⏸",[228,1923,1924],{},"⏸︎",[228,1926,1927],{},"⏸️",[210,1929,1930,1933,1936,1939],{},[228,1931,1932],{},"23F9",[228,1934,1935],{},"⏹",[228,1937,1938],{},"⏹︎",[228,1940,1941],{},"⏹️",[210,1943,1944,1947,1950,1953],{},[228,1945,1946],{},"23FA",[228,1948,1949],{},"⏺",[228,1951,1952],{},"⏺︎",[228,1954,1955],{},"⏺️",[210,1957,1958,1961,1964,1967],{},[228,1959,1960],{},"24C2",[228,1962,1963],{},"Ⓜ",[228,1965,1966],{},"Ⓜ︎",[228,1968,1969],{},"Ⓜ️",[210,1971,1972,1975,1978,1981],{},[228,1973,1974],{},"25AA",[228,1976,1977],{},"▪",[228,1979,1980],{},"▪︎",[228,1982,1983],{},"▪️",[210,1985,1986,1989,1992,1995],{},[228,1987,1988],{},"25AB",[228,1990,1991],{},"▫",[228,1993,1994],{},"▫︎",[228,1996,1997],{},"▫️",[210,1999,2000,2003,2006,2009],{},[228,2001,2002],{},"25B6",[228,2004,2005],{},"▶",[228,2007,2008],{},"▶︎",[228,2010,2011],{},"▶️",[210,2013,2014,2017,2020,2023],{},[228,2015,2016],{},"25C0",[228,2018,2019],{},"◀",[228,2021,2022],{},"◀︎",[228,2024,2025],{},"◀️",[210,2027,2028,2031,2034,2037],{},[228,2029,2030],{},"25FB",[228,2032,2033],{},"◻",[228,2035,2036],{},"◻︎",[228,2038,2039],{},"◻️",[210,2041,2042,2045,2048,2051],{},[228,2043,2044],{},"25FC",[228,2046,2047],{},"◼",[228,2049,2050],{},"◼︎",[228,2052,2053],{},"◼️",[210,2055,2056,2059,2062,2065],{},[228,2057,2058],{},"25FD",[228,2060,2061],{},"◽",[228,2063,2064],{},"◽︎",[228,2066,2067],{},"◽️",[210,2069,2070,2073,2076,2079],{},[228,2071,2072],{},"25FE",[228,2074,2075],{},"◾",[228,2077,2078],{},"◾︎",[228,2080,2081],{},"◾️",[210,2083,2084,2087,2090,2093],{},[228,2085,2086],{},"2600",[228,2088,2089],{},"☀",[228,2091,2092],{},"☀︎",[228,2094,2095],{},"☀️",[210,2097,2098,2101,2104,2107],{},[228,2099,2100],{},"2601",[228,2102,2103],{},"☁",[228,2105,2106],{},"☁︎",[228,2108,2109],{},"☁️",[210,2111,2112,2115,2118,2121],{},[228,2113,2114],{},"2602",[228,2116,2117],{},"☂",[228,2119,2120],{},"☂︎",[228,2122,2123],{},"☂️",[210,2125,2126,2129,2132,2135],{},[228,2127,2128],{},"2603",[228,2130,2131],{},"☃",[228,2133,2134],{},"☃︎",[228,2136,2137],{},"☃️",[210,2139,2140,2143,2146,2149],{},[228,2141,2142],{},"2604",[228,2144,2145],{},"☄",[228,2147,2148],{},"☄︎",[228,2150,2151],{},"☄️",[210,2153,2154,2157,2160,2163],{},[228,2155,2156],{},"260E",[228,2158,2159],{},"☎",[228,2161,2162],{},"☎︎",[228,2164,2165],{},"☎️",[210,2167,2168,2171,2174,2177],{},[228,2169,2170],{},"2611",[228,2172,2173],{},"☑",[228,2175,2176],{},"☑︎",[228,2178,2179],{},"☑️",[210,2181,2182,2185,2188,2191],{},[228,2183,2184],{},"2614",[228,2186,2187],{},"☔",[228,2189,2190],{}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