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This is a list of emoticons or textual portrayals of a writer's moods or facial expressions in the form of icons. Originally, these icons consisted of ASCII art, and later, Shift JIS art and Unicode art. In recent times, graphical icons, both static and animated, have joined the traditional text-based emoticons; these are commonly known as ...
Meaning 😀 Grinning Face U+1F600: Emoji 1.0 in 2015 Emoticons: Grinning: 😂 Face with Tears of Joy U+1F602: Emoji 1.0 in 2015 Emoticons see Face with Tears of Joy emoji: 😍 Smiling Face with Heart-Shaped Eyes U+1F60D: Emoji 1.0 in 2015 Emoticons see Face with Heart Eyes emoji: 🕴️ Man in Business Suit Levitating U+1F574: Unicode 7.0 ...
Emoji became increasingly popular worldwide in the 2010s after Unicode began encoding emoji into the Unicode Standard. [7] [8] [9] They are now considered to be a large part of popular culture in the West and around the world. [10] [11] In 2015, Oxford Dictionaries named the Face with Tears of Joy emoji (😂) the word of the year. [12] [13]
10 of the most misunderstood emojis. Here, we break down 10 of the most commonly used emojis. Their real meanings might surprise you! 1. 😤 Face blowing steam from its nose
Print/export Download as PDF; Printable version; In other projects ... Unicode chart Emoticons}} provides a list of Unicode code points in the Emoticons block.
If a picture paints a thousand words, heart emojis can pretty much do the same, getting your message of love across quickly and easily. That is, as long as you're up on all the various heart emoji ...
Emojipedia is an emoji reference website [1] which documents the meaning and common usage of emoji characters [2] in the Unicode Standard.Most commonly described as an emoji encyclopedia [3] or emoji dictionary, [4] Emojipedia also publishes articles and provides tools for tracking new emoji characters, design changes [5] and usage trends.
Brown Heart. This was the least used heart emoji on Twitter in 2021, per Emojipedia. That said, it does have its own unique purposes: Emojipedia's data shows that words like "skin" and "Black" are ...