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CBP Announces Plan to Look at Foreign Tourists’ Social Media Activity Prior to U.S. Entry

CBP Announces Plan to Look at Foreign Tourists’ Social Media Activity Prior to U.S. Entry

For months now, foreigners and even dual citizens have been worried about how their social media histories might affect their ability to travel freely to and from the U.S. It’s increasingly clear that the answer is a lot.

On Tuesday at the Federal Register, U.S. Customs and Border Patrol posted a proposed policy tweak: It now plans to dig around in tourists’ social media histories before letting them enter, even if they’re coming from some of the least scrutinized countries in the world.

According to its statement CBP “invites the public to comment” on a series of newly proposed
changes. Here’s number 3:

“3. Mandatory Social Media:

In order to comply with the January 2025 Executive Order 14161 (Protecting the United States From Foreign Terrorists and Other National Security and Public Safety Threats), CBP is adding social media as a mandatory data element for an ESTA application. The data element will require ESTA applicants to provide their social media from the last 5 years.”

Note that this is for “ESTA” applicants meaning the Electronic System for Travel Authorization. This isn’t some additional crackdown on people, say, affiliated with countries covered by Trump’s travel ban—places like Afghanistan, Myanmar, Somalia, Sudan and Yemen. This is aimed at travelers from visa waiver countries, places whose citizens are theoretically welcomed with open arms. Once they obtain a $40 authorization through ESTA—which, funnily enough, has an app—people from visa waiver countries like Australia, Japan, France, Iceland, the United Kingdom and South Korea are normally able to travel around the U.S. freely for 90 days.

C.B.P. also plans to require other personal information, such as email addresses from the last ten years, and the addresses, birth dates, and other identifying details of all family members of ESTA applicants.

This isn’t the first such social media crackdown. Earlier this month, the State Department announced a an expansion of the screening process for people applying for H-1B and Dependent H-4 visas—people who plan to move to the U.S. for work reasons. If you’re in this group, you’re told to “adjust the privacy settings on all of [your] social media profiles to ‘public,’” as part of the application process, and there’s no mention of only checking what you’ve posted in the past five years.

Speaking to the New York Times, Bo Cooper, a representative of the immigration firm Fragomen said of the checks on tourists’ social media posts that since the process “involves looking at online speech, and then denying travel based on discretion and policy” about what people have expressed, “It’ll be interesting to watch the tourism numbers.”

A June study from the World Travel and Tourism Council (as cited by Forbes) found that among the 184 countries it analyzed, the U.S. was the only one expected to see declining tourism numbers in 2025.

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#CBP #Announces #Plan #Foreign #Tourists #Social #Media #Activity #Prior #U.S #Entry

Snapchat is officially joining the race to clean AI slop out of social media.

The company announced July 31 that wholly AI-generated videos will no longer be eligible for recommendation in Spotlight, Snapchat’s discovery feed for trending videos from creators across the platform in order to “reward authentic creativity.”

The policy does not prevent users from posting AI-generated videos elsewhere on Snapchat. It also does not disqualify every video that involves AI. Creators can continue using Snapchat’s AI tools to edit or enhance their original footage, and those videos will remain eligible for Spotlight recommendations with transparency indicators.

The line Snapchat is drawing comes down to who, or what, created the underlying video. AI can help a person make something. It cannot make the entire thing and still expect Snapchat’s recommendation system to distribute it.

“As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company wrote in a blog post.

Keeping entirely generated videos out of Spotlight matters on the platform because recommendation is what allow a creator’s work to reach people who do not already follow them. Removing that distribution makes Spotlight far less valuable as a growth channel for automated content farms that can produce synthetic videos at scale.

It also protects a part of Snapchat that has been attracting more creators. Snap said the number of unique people contributing to Spotlight globally has increased by more than 120 percent over the past year.

Exactly how Snapchat will identify wholly AI-generated videos is less clear. The company has not explained what level of human involvement would make a video eligible or how it will distinguish an AI-enhanced recording from a generated video that received a few human edits.

Snap acknowledged that challenge in its announcement, saying that “no detection system is perfect.”

Social platforms are reconsidering AI slop

Snapchat isn’t the first platform to decide that the flood of repetitive AI content is becoming a problem for its users.

LinkedIn began expanding tools in July that allow members to report posts and comments that “seem like AI slop.” The company is also introducing classifiers intended to reduce low-quality AI content in recommendations and replacing its “enhance your post” writing feature with a more limited proofreading tool.

LinkedIn Chief Product Officer Hari Srinivasan emphasized that the company does not consider all AI-assisted work to be slop. The concern is content that feels automated, generic, or disconnected from the person publishing it.

Substack has taken a transparency-focused approach. On July 21, the newsletter platform introduced an optional AI-detection feature built with Pangram. Readers can scan posts, notes, replies, and comments longer than 100 words to receive an estimate of how much of the text was written by a person or with AI assistance.

YouTube’s current policies similarly make repetitive or mass-produced “inauthentic content” ineligible for monetization. Its spam rules also prohibit creators from using automated or synthetic tools to flood the platform with large volumes of nearly identical videos.

TikTok has also put more of the decision in viewers’ hands. The platform began testing a setting in November that lets users increase or decrease the amount of AI-generated content that appears in their For You feeds.

Snapchat’s decision also arrives as Meta imagines a very different future for social media.

In its latest earnings remarks on July 29, Meta said its Muse image and video models would create a “nearly infinite universe of personalized content” across its platforms. That AI-generated material would become another source of recommendations alongside posts from friends and established creators.

Snapchat is making a different bet for Spotlight. As synthetic video becomes easier to produce and harder to distinguish from recorded footage, the platform is reserving its most valuable discovery space for content that begins with a person.

Drawing that line may be easier than enforcing it. Still, Snapchat has made its preference clear: AI can stay behind the scenes. Spotlight belongs to the humans.

#Snapchat #bans #fully #AIgenerated #videos #Spotlight #recommendations">Snapchat bans fully AI-generated videos from Spotlight recommendations
                                                            Snapchat is officially joining the race to clean AI slop out of social media.The company announced July 31 that wholly AI-generated videos will no longer be eligible for recommendation in Spotlight, Snapchat’s discovery feed for trending videos from creators across the platform in order to “reward authentic creativity.”The policy does not prevent users from posting AI-generated videos elsewhere on Snapchat. It also does not disqualify every video that involves AI. Creators can continue using Snapchat’s AI tools to edit or enhance their original footage, and those videos will remain eligible for Spotlight recommendations with transparency indicators.

        SEE ALSO:
        
            New safety rules for under-16 Snapchat users
            
        
    
The line Snapchat is drawing comes down to who, or what, created the underlying video. AI can help a person make something. It cannot make the entire thing and still expect Snapchat’s recommendation system to distribute it.“As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company wrote in a blog post.Keeping entirely generated videos out of Spotlight matters on the platform because recommendation is what allow a creator’s work to reach people who do not already follow them. Removing that distribution makes Spotlight far less valuable as a growth channel for automated content farms that can produce synthetic videos at scale.It also protects a part of Snapchat that has been attracting more creators. Snap said the number of unique people contributing to Spotlight globally has increased by more than 120 percent over the past year.Exactly how Snapchat will identify wholly AI-generated videos is less clear. The company has not explained what level of human involvement would make a video eligible or how it will distinguish an AI-enhanced recording from a generated video that received a few human edits.
        
            Mashable Trend Report
        
        
    
Snap acknowledged that challenge in its announcement, saying that “no detection system is perfect.”Social platforms are reconsidering AI slopSnapchat isn’t the first platform to decide that the flood of repetitive AI content is becoming a problem for its users.LinkedIn began expanding tools in July that allow members to report posts and comments that “seem like AI slop.” The company is also introducing classifiers intended to reduce low-quality AI content in recommendations and replacing its “enhance your post” writing feature with a more limited proofreading tool.LinkedIn Chief Product Officer Hari Srinivasan emphasized that the company does not consider all AI-assisted work to be slop. The concern is content that feels automated, generic, or disconnected from the person publishing it.Substack has taken a transparency-focused approach. On July 21, the newsletter platform introduced an optional AI-detection feature built with Pangram. Readers can scan posts, notes, replies, and comments longer than 100 words to receive an estimate of how much of the text was written by a person or with AI assistance.
YouTube’s current policies similarly make repetitive or mass-produced “inauthentic content” ineligible for monetization. Its spam rules also prohibit creators from using automated or synthetic tools to flood the platform with large volumes of nearly identical videos.TikTok has also put more of the decision in viewers’ hands. The platform began testing a setting in November that lets users increase or decrease the amount of AI-generated content that appears in their For You feeds.Snapchat’s decision also arrives as Meta imagines a very different future for social media.In its latest earnings remarks on July 29, Meta said its Muse image and video models would create a “nearly infinite universe of personalized content” across its platforms. That AI-generated material would become another source of recommendations alongside posts from friends and established creators.Snapchat is making a different bet for Spotlight. As synthetic video becomes easier to produce and harder to distinguish from recorded footage, the platform is reserving its most valuable discovery space for content that begins with a person.Drawing that line may be easier than enforcing it. Still, Snapchat has made its preference clear: AI can stay behind the scenes. Spotlight belongs to the humans.

                    
                                            
                            
    
        Topics
                    Artificial Intelligence
                    Snapchat
            

                        
                                    #Snapchat #bans #fully #AIgenerated #videos #Spotlight #recommendations

AI slop out of social media.

The company announced July 31 that wholly AI-generated videos will no longer be eligible for recommendation in Spotlight, Snapchat’s discovery feed for trending videos from creators across the platform in order to “reward authentic creativity.”

The policy does not prevent users from posting AI-generated videos elsewhere on Snapchat. It also does not disqualify every video that involves AI. Creators can continue using Snapchat’s AI tools to edit or enhance their original footage, and those videos will remain eligible for Spotlight recommendations with transparency indicators.

The line Snapchat is drawing comes down to who, or what, created the underlying video. AI can help a person make something. It cannot make the entire thing and still expect Snapchat’s recommendation system to distribute it.

“As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company wrote in a blog post.

Keeping entirely generated videos out of Spotlight matters on the platform because recommendation is what allow a creator’s work to reach people who do not already follow them. Removing that distribution makes Spotlight far less valuable as a growth channel for automated content farms that can produce synthetic videos at scale.

It also protects a part of Snapchat that has been attracting more creators. Snap said the number of unique people contributing to Spotlight globally has increased by more than 120 percent over the past year.

Exactly how Snapchat will identify wholly AI-generated videos is less clear. The company has not explained what level of human involvement would make a video eligible or how it will distinguish an AI-enhanced recording from a generated video that received a few human edits.

Snap acknowledged that challenge in its announcement, saying that “no detection system is perfect.”

Social platforms are reconsidering AI slop

Snapchat isn’t the first platform to decide that the flood of repetitive AI content is becoming a problem for its users.

LinkedIn began expanding tools in July that allow members to report posts and comments that “seem like AI slop.” The company is also introducing classifiers intended to reduce low-quality AI content in recommendations and replacing its “enhance your post” writing feature with a more limited proofreading tool.

LinkedIn Chief Product Officer Hari Srinivasan emphasized that the company does not consider all AI-assisted work to be slop. The concern is content that feels automated, generic, or disconnected from the person publishing it.

Substack has taken a transparency-focused approach. On July 21, the newsletter platform introduced an optional AI-detection feature built with Pangram. Readers can scan posts, notes, replies, and comments longer than 100 words to receive an estimate of how much of the text was written by a person or with AI assistance.

YouTube’s current policies similarly make repetitive or mass-produced “inauthentic content” ineligible for monetization. Its spam rules also prohibit creators from using automated or synthetic tools to flood the platform with large volumes of nearly identical videos.

TikTok has also put more of the decision in viewers’ hands. The platform began testing a setting in November that lets users increase or decrease the amount of AI-generated content that appears in their For You feeds.

Snapchat’s decision also arrives as Meta imagines a very different future for social media.

In its latest earnings remarks on July 29, Meta said its Muse image and video models would create a “nearly infinite universe of personalized content” across its platforms. That AI-generated material would become another source of recommendations alongside posts from friends and established creators.

Snapchat is making a different bet for Spotlight. As synthetic video becomes easier to produce and harder to distinguish from recorded footage, the platform is reserving its most valuable discovery space for content that begins with a person.

Drawing that line may be easier than enforcing it. Still, Snapchat has made its preference clear: AI can stay behind the scenes. Spotlight belongs to the humans.

#Snapchat #bans #fully #AIgenerated #videos #Spotlight #recommendations">Snapchat bans fully AI-generated videos from Spotlight recommendations

Snapchat is officially joining the race to clean AI slop out of social media.

The company announced July 31 that wholly AI-generated videos will no longer be eligible for recommendation in Spotlight, Snapchat’s discovery feed for trending videos from creators across the platform in order to “reward authentic creativity.”

The policy does not prevent users from posting AI-generated videos elsewhere on Snapchat. It also does not disqualify every video that involves AI. Creators can continue using Snapchat’s AI tools to edit or enhance their original footage, and those videos will remain eligible for Spotlight recommendations with transparency indicators.

The line Snapchat is drawing comes down to who, or what, created the underlying video. AI can help a person make something. It cannot make the entire thing and still expect Snapchat’s recommendation system to distribute it.

“As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company wrote in a blog post.

Keeping entirely generated videos out of Spotlight matters on the platform because recommendation is what allow a creator’s work to reach people who do not already follow them. Removing that distribution makes Spotlight far less valuable as a growth channel for automated content farms that can produce synthetic videos at scale.

It also protects a part of Snapchat that has been attracting more creators. Snap said the number of unique people contributing to Spotlight globally has increased by more than 120 percent over the past year.

Exactly how Snapchat will identify wholly AI-generated videos is less clear. The company has not explained what level of human involvement would make a video eligible or how it will distinguish an AI-enhanced recording from a generated video that received a few human edits.

Snap acknowledged that challenge in its announcement, saying that “no detection system is perfect.”

Social platforms are reconsidering AI slop

Snapchat isn’t the first platform to decide that the flood of repetitive AI content is becoming a problem for its users.

LinkedIn began expanding tools in July that allow members to report posts and comments that “seem like AI slop.” The company is also introducing classifiers intended to reduce low-quality AI content in recommendations and replacing its “enhance your post” writing feature with a more limited proofreading tool.

LinkedIn Chief Product Officer Hari Srinivasan emphasized that the company does not consider all AI-assisted work to be slop. The concern is content that feels automated, generic, or disconnected from the person publishing it.

Substack has taken a transparency-focused approach. On July 21, the newsletter platform introduced an optional AI-detection feature built with Pangram. Readers can scan posts, notes, replies, and comments longer than 100 words to receive an estimate of how much of the text was written by a person or with AI assistance.

YouTube’s current policies similarly make repetitive or mass-produced “inauthentic content” ineligible for monetization. Its spam rules also prohibit creators from using automated or synthetic tools to flood the platform with large volumes of nearly identical videos.

TikTok has also put more of the decision in viewers’ hands. The platform began testing a setting in November that lets users increase or decrease the amount of AI-generated content that appears in their For You feeds.

Snapchat’s decision also arrives as Meta imagines a very different future for social media.

In its latest earnings remarks on July 29, Meta said its Muse image and video models would create a “nearly infinite universe of personalized content” across its platforms. That AI-generated material would become another source of recommendations alongside posts from friends and established creators.

Snapchat is making a different bet for Spotlight. As synthetic video becomes easier to produce and harder to distinguish from recorded footage, the platform is reserving its most valuable discovery space for content that begins with a person.

Drawing that line may be easier than enforcing it. Still, Snapchat has made its preference clear: AI can stay behind the scenes. Spotlight belongs to the humans.

#Snapchat #bans #fully #AIgenerated #videos #Spotlight #recommendations

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