Twitter uses visual identity signals like labels and badges on account profiles to help distinguish between various account types and to give more context about them. While some of these labels are generated by Twitter, others are the result of user activity. Here is a list of the labels and badges that are frequently seen on account profiles. Applied Profile labels by Twitter Checkmark in Blue The blue checkmark can indicate one of two things: either that a user's account has been verified according to Twitter's previous verification standards (active, notable, and authentic), or that the user has an active subscription to Twitter Blue, the company's new subscription service that launched on iOS on November 9, 2022. The active, notable, and authentic criteria that were applied in the previous process will not be reviewed for accounts that receive the blue checkmark as part of a Twitter Blue subscription. Here is more information about the blue checkmark. Gold Checkmark The
Users who are deciding which product to purchase can benefit from reading product reviews. Our study has shown that consumers frequently refer to lists of benefits and drawbacks in product reviews when deciding which products to buy. Google Search may emphasise advantages and disadvantages in the product review snippet in search results due of their significance to users.
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| Example Search Snippet Pros and Cons |
By including pros and cons structured data on editorial review sites, you may inform Google about your advantages and disadvantages. You can use Rich Results Test to verify that the structured data you're adding to your web pages is accurate and appropriate for Google Search. The tool has recently been expanded to examine the benefits and drawbacks of structured data in addition to the many forms of structured data that Google Search currently supports.
Google may attempt to automatically identify the advantages and negatives stated on the website if you do not submit structured data. Google will give your submitted structured data precedence over data that was automatically extracted. We put this to the test with website owners, and we got good feedback.
Here is an example webpage containing structured data that has been JSON-LD encoded that might be utilised for the search results experience mentioned above. Keep in mind that the text in the structured data and the text on your page must match.
Example:
<html>
<head>
<title>Cheese Knife Pro review</title>
<script type="application/ld+json">
{
"@context": "http://schema.org",
"@type": "Product",
"name": "Cheese Knife Pro",
"review": {
"@type": "Review",
"name": "Cheese Knife Pro review",
"author": {
"@type": "Person",
"name": "Pascal Van Cleeff"
},
"positiveNotes": {
"@type": "ItemList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Consistent results"
},
{
"@type": "ListItem",
"position": 2,
"name": "Still sharp after many uses"
}
]
},
"negativeNotes": {
"@type": "ItemList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "No child protection"
},
{
"@type": "ListItem",
"position": 2,
"name": "Lacking advanced features"
}
]
}
}
}
</script>
</head>
<body>
. . .
<p>Pros:</p>
<ul>
<li>Consistent results</li>
<li>Still sharp after many uses</li>
</ul>
<p>Cons:</p>
<ul>
<li>No child protection</li>
<li>Lacking advanced features</li>
</ul>
. . .
</body>
</html>Only editorial product review pages—not merchant product pages or customer product reviews—are currently qualified for the pros and cons upgrade in Search. In all nations where Google Search is available, the service is offered in Dutch, English, French, German, Italian, Japanese, Polish, Portuguese, Spanish, and Turkish.
Check out the Google Search Central page on Product structured data for further details on how to utilise the benefits and drawbacks of structured data. Please visit our public forum and the support pages for Google Search Central for more guidance.
Source: Google Search Central
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