Are Google's spam filters multi-lingual and how cautious should I be with different languages?

Email marketer from EmailGeek shares that Spam filters use machine learning to check for different things to determine if the email is spam or not, including but not limited to language.

Email marketer from Reddit mentions that most modern spam filters are indeed multilingual and can detect spam signals regardless of the language used. Caution is advised when using overly aggressive or 'spammy' language, even if translated accurately.

Email marketer from Campaign Monitor suggests that when sending emails to a global audience, including creating personalized content in different languages, it's essential to respect cultural differences and privacy regulations. Ignoring these factors could negatively impact email deliverability and engagement.

Email marketer from an Email Marketing Forum shares the idea that spam filters become more sensitive to certain words/phrases depending on the frequency that it has seen them before. Therefore it may be cautious to avoid direct translation as this might trigger it.

Marketer from Email Geeks explains that content for modern spam filters is mostly irrelevant. Issues are more likely caused by who you are sending to. The content mostly doesn't matter.

Email marketer from GMass explains that, even when dealing with multilingual content, personalization of emails significantly improves deliverability. Using the recipient's name and tailoring the message to their interests can decrease the likelihood of being marked as spam.

Email marketer from Litmus recommends testing emails for deliverability across different email clients and spam filters before sending them to your audience, regardless of the language used. This helps identify potential issues and ensure your emails reach the inbox.

Email marketer from HubSpot advises that regardless of the language used, best practices for email deliverability include using a dedicated IP address, authenticating your email (SPF, DKIM, DMARC), and maintaining a clean email list. These factors contribute significantly to whether your email lands in the inbox or spam folder.

Email marketer from Sender.net shares that to avoid spam filters when sending emails in different languages, one should focus on translating content accurately, segmenting audience based on language preferences, and providing an unsubscribe option in each language.

Marketer from Email Geeks references a Microsoft document stating senders should focus on email content, URLs, and HTML elements. Anti-spam systems and heuristics incorporate content filtering with authentication and reputation for a combined trustworthy score.

Email marketer from Mailjet explains that spam filters are becoming increasingly sophisticated and can analyze content in multiple languages, but that the key is to ensure your emails are relevant and engaging to your target audience, regardless of language.

Expert from Spam Resource explains that some spam traps are designed to target specific languages or regions. Be cautious when sending emails in different languages, especially if you are not familiar with the local spam landscape.

Expert from Email Geeks shares that one of Gmail's filters checks if a message is not in the usual language a user reads/writes in.

Expert from Word to the Wise responds that for best email deliverability practices always consider the language and cultural preferences of your recipients and to ensure your email content is relevant and engaging to avoid spam complaints. Use native speakers for translation.

Expert from Email Geeks says not to expect issues just from a word or two, even if they are unique loanwords, it is unlikely Gmail would mark the email as spam just based on that.

Documentation from Microsoft Learn explains that Exchange Online Protection uses content filtering to identify and block spam. It doesn't specify multilingual filtering, but it emphasizes analyzing email content and attachments for malicious or unwanted content, regardless of language.

Documentation from Cisco show Email Security Appliance offers options to configure language-specific settings for spam filtering, including language detection and content analysis. This allows you to customize spam filtering based on the language of the email.

Documentation from Google Support details that Gmail's spam filters use machine learning to analyze various signals, including content, sender reputation, and user feedback, to identify spam. It does not explicitly mention multilingual capabilities, but its machine learning approach implies language analysis.

Documentation from Apache SpamAssassin indicates that it uses a rule-based scoring system to identify spam. Some rules are language-specific, while others apply regardless of the language used. The overall score determines whether an email is marked as spam.