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Meta Plans A Less Punitive AI-Generated Content Policy

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Meta announced an update to its AI labeling policy, expanding its definition of “manipulated media” to go beyond AI-generated videos, to now include deceptive audio and images on Facebook, Instagram and Threads.

An important feature of the new policy is it’s sensitivity on being perceived as being restrictive of freedom of expression. Rather than adopt the approach of removing problematic content Meta is instead simply labeling it. Meta introduced two labels, “Made with AI” and “Imagined with AI,” to make clear what content was created or altered with AI.

New Warning Labels

The AI-generated content will rely on identifying the signals of AI-authorship and self-reporting:

“Our ‘Made with AI’ labels on AI-generated video, audio, and images will be based on our detection of industry-shared signals of AI images or people self-disclosing that they’re uploading AI-generated content”

Content that is significantly misleading may receive more prominent labels so that users can get a better understanding.

Harmful content that violates the Community Standards, such as content that incites violence, election interference, bullying or harassments will qualify for removal, regardless if it is human or AI generated.

Reason For Meta’s Updated Policy

The original AI labeling policy was created in 2020 and because of the state of the technology it was narrowly defined confined to addressing deceptive videos (the kind that depicted public figures saying things they never did). Meta’s Oversight Board recognized that technology has progressed to the point that a new policy was needed. The new policy accordingly expands to now address AI-generated audio and images, in addition to videos.

Based On User Feedback

Meta’s process for updating their rules appear to have anticipated pushback from all sides. Their new policy is based on extensive feedback from from a wide range of stakeholder and input from the general public. The new policy also has the flexibility to bend if needed.

Meta explains:

“In Spring 2023, we began reevaluating our policies to see if we needed a new approach to keep pace with rapid advances… We completed consultations with over 120 stakeholders in 34 countries in every major region of the world. Overall, we heard broad support for labeling AI-generated content and strong support for a more prominent label in high-risk scenarios. Many stakeholders were receptive to the concept of people self-disclosing content as AI-generated.

…We also conducted public opinion research with more than 23,000 respondents in 13 countries and asked people how social media companies, such as Meta, should approach AI-generated content on their platforms. A large majority (82%) favor warning labels for AI-generated content that depicts people saying things they did not say.

…And the Oversight Board noted their recommendations were informed by consultations with civil-society organizations, academics, inter-governmental organizations and other experts.”

Collaboration And Consensus

Meta’s announcement explains that they plan for the policies to keep up with the pace of technology by revisiting it with organizations like the Partnership on AI, governments and non-governmental organizations.

Meta’s revised policy emphasizes the need for transparency and context for AI-generated content, that removal of content will be based on violations of their community standards and that the preferred response will be to label potentially problematic content.

Read Meta’s announcement

Our Approach to Labeling AI-Generated Content and Manipulated Media

Featured Image by Shutterstock/Boumen Japet

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Google Rolls Out New ‘Web’ Filter For Search Results

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Google logo inside the Google Indonesia office in Jakarta

Google is introducing a filter that allows you to view only text-based webpages in search results.

The “Web” filter, rolling out globally over the next two days, addresses demand from searchers who prefer a stripped-down, simplified view of search results.

Danny Sullivan, Google’s Search Liaison, states in an announcement:

“We’ve added this after hearing from some that there are times when they’d prefer to just see links to web pages in their search results, such as if they’re looking for longer-form text documents, using a device with limited internet access, or those who just prefer text-based results shown separately from search features.”

The new functionality is a throwback to when search results were more straightforward. Now, they often combine rich media like images, videos, and shopping ads alongside the traditional list of web links.

How It Works

On mobile devices, the “Web” filter will be displayed alongside other filter options like “Images” and “News.”

Screenshot from: twitter.com/GoogleSearchLiaison, May 2024.

If Google’s systems don’t automatically surface it based on the search query, desktop users may need to select “More” to access it.

1715727362 7 Google Rolls Out New Web Filter For Search ResultsScreenshot from: twitter.com/GoogleSearchLiaison, May 2024.

More About Google Search Filters

Google’s search filters allow you to narrow results by type. The options displayed are dynamically generated based on your search query and what Google’s systems determine could be most relevant.

The “All Filters” option provides access to filters that are not shown automatically.

Alongside filters, Google also displays “Topics” – suggested related terms that can further refine or expand a user’s original query into new areas of exploration.

For more about Google’s search filters, see its official help page.


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Why Google Can’t Tell You About Every Ranking Drop

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Why Google Can't Tell You About Every Ranking Drop

In a recent Twitter exchange, Google’s Search Liaison, Danny Sullivan, provided insight into how the search engine handles algorithmic spam actions and ranking drops.

The discussion was sparked by a website owner’s complaint about a significant traffic loss and the inability to request a manual review.

Sullivan clarified that a site could be affected by an algorithmic spam action or simply not ranking well due to other factors.

He emphasized that many sites experiencing ranking drops mistakenly attribute it to an algorithmic spam action when that may not be the case.

“I’ve looked at many sites where people have complained about losing rankings and decide they have a algorithmic spam action against them, but they don’t. “

Sullivan’s full statement will help you understand Google’s transparency challenges.

Additionally, he explains why the desire for manual review to override automated rankings may be misguided.

Challenges In Transparency & Manual Intervention

Sullivan acknowledged the idea of providing more transparency in Search Console, potentially notifying site owners of algorithmic actions similar to manual actions.

However, he highlighted two key challenges:

  1. Revealing algorithmic spam indicators could allow bad actors to game the system.
  2. Algorithmic actions are not site-specific and cannot be manually lifted.

Sullivan expressed sympathy for the frustration of not knowing the cause of a traffic drop and the inability to communicate with someone about it.

However, he cautioned against the desire for a manual intervention to override the automated systems’ rankings.

Sullivan states:

“…you don’t really want to think “Oh, I just wish I had a manual action, that would be so much easier.” You really don’t want your individual site coming the attention of our spam analysts. First, it’s not like manual actions are somehow instantly processed. Second, it’s just something we know about a site going forward, especially if it says it has change but hasn’t really.”

Determining Content Helpfulness & Reliability

Moving beyond spam, Sullivan discussed various systems that assess the helpfulness, usefulness, and reliability of individual content and sites.

He acknowledged that these systems are imperfect and some high-quality sites may not be recognized as well as they should be.

“Some of them ranking really well. But they’ve moved down a bit in small positions enough that the traffic drop is notable. They assume they have fundamental issues but don’t, really — which is why we added a whole section about this to our debugging traffic drops page.”

Sullivan revealed ongoing discussions about providing more indicators in Search Console to help creators understand their content’s performance.

“Another thing I’ve been discussing, and I’m not alone in this, is could we do more in Search Console to show some of these indicators. This is all challenging similar to all the stuff I said about spam, about how not wanting to let the systems get gamed, and also how there’s then no button we would push that’s like “actually more useful than our automated systems think — rank it better!” But maybe there’s a way we can find to share more, in a way that helps everyone and coupled with better guidance, would help creators.”

Advocacy For Small Publishers & Positive Progress

In response to a suggestion from Brandon Saltalamacchia, founder of RetroDodo, about manually reviewing “good” sites and providing guidance, Sullivan shared his thoughts on potential solutions.

He mentioned exploring ideas such as self-declaration through structured data for small publishers and learning from that information to make positive changes.

“I have some thoughts I’ve been exploring and proposing on what we might do with small publishers and self-declaring with structured data and how we might learn from that and use that in various ways. Which is getting way ahead of myself and the usual no promises but yes, I think and hope for ways to move ahead more positively.”

Sullivan said he can’t make promises or implement changes overnight, but he expressed hope for finding ways to move forward positively.


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56 Google Search Statistics to Bookmark for 2024

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56 Google Search Statistics to Bookmark for 2024

If you’re curious about the state of Google search in 2024, look no further.

Each year we pick, vet, and categorize a list of up-to-date statistics to give you insights from trusted sources on Google search trends.

  1. Google has a web index of “about 400 billion documents”. (The Capitol Forum)
  2. Google’s search index is over 100 million gigabytes in size. (Google)
  3. There are an estimated 3.5 billion searches on Google each day. (Internet Live Stats)
  4. 61.5% of desktop searches and 34.4% of mobile searches result in no clicks. (SparkToro)
  5. 15% of all Google searches have never been searched before. (Google)
  6. 94.74% of keywords get 10 monthly searches or fewer. (Ahrefs)
  7. The most searched keyword in the US and globally is “YouTube,” and youtube.com gets the most traffic from Google. (Ahrefs)
  8. 96.55% of all pages get zero search traffic from Google. (Ahrefs)
  9. 50-65% of all number-one spots are dominated by featured snippets. (Authority Hacker)
  10. Reddit is the most popular domain for product review queries. (Detailed)

  1. Google is the most used search engine in the world, with a mobile market share of 95.32% and a desktop market share of 81.95%. (Statista)
    63.41% of all US web traffic referrals come from Google.63.41% of all US web traffic referrals come from Google.
  2. Google.com generated 84.2 billion visits a month in 2023. (Statista)
  3. Google generated $307.4 billion in revenue in 2023. (Alphabet Investor Relations)
  4. 63.41% of all US web traffic referrals come from Google. (SparkToro)
  5. 92.96% of global traffic comes from Google Search, Google Images, and Google Maps. (SparkToro)
  6. Only 49% of Gen Z women use Google as their search engine. The rest use TikTok. (Search Engine Land)

  1. 58.67% of all website traffic worldwide comes from mobile phones. (Statista)
  2. 57% of local search queries are submitted using a mobile device or tablet. (ReviewTrackers)
    57% of local search queries are submitted using a mobile device or tablet. 57% of local search queries are submitted using a mobile device or tablet.
  3. 51% of smartphone users have discovered a new company or product when conducting a search on their smartphones. (Think With Google)
  4. 54% of smartphone users search for business hours, and 53% search for directions to local stores. (Think With Google)
  5. 18% of local searches on smartphones lead to a purchase within a day vs. 7% of non-local searches. (Think With Google)
  6. 56% of in-store shoppers used their smartphones to shop or research items while they were in-store. (Think With Google)
  7. 60% of smartphone users have contacted a business directly using the search results (e.g., “click to call” option). (Think With Google)
  8. 63.6% of consumers say they are likely to check reviews on Google before visiting a business location. (ReviewTrackers)
  9. 88% of consumers would use a business that replies to all of its reviews. (BrightLocal)
  10. Customers are 2.7 times more likely to consider a business reputable if they find a complete Business Profile on Google Search and Maps. (Google)
  11. Customers are 70% more likely to visit and 50% more likely to consider purchasing from businesses with a complete Business Profile. (Google)
  12. 76% of people who search on their smartphones for something nearby visit a business within a day. (Think With Google)
  13. 28% of searches for something nearby result in a purchase. (Think With Google)
  14. Mobile searches for “store open near me” (such as, “grocery store open near me” have grown by over 250% in the last two years. (Think With Google)

  1. People use Google Lens for 12 billion visual searches a month. (Google)
  2. 50% of online shoppers say images helped them decide what to buy. (Think With Google)
  3. There are an estimated 136 billion indexed images on Google Image Search. (Photutorial)
  4. 15.8% of Google SERPs show images. (Moz)
  5. People click on 3D images almost 50% more than static ones. (Google)

  1. More than 800 million people use Google Discover monthly to stay updated on their interests. (Google)
  2. 46% of Google Discover URLs are news sites, 44% e-commerce, 7% entertainment, and 2% travel. (Search Engine Journal)
  3. Even though news sites accounted for under 50% of Google Discover URLs, they received 99% of Discover clicks. (Search Engine Journal)
    Even though news sites accounted for under 50% of Google Discover URLs, they received 99% of Discover clicks.Even though news sites accounted for under 50% of Google Discover URLs, they received 99% of Discover clicks.
  4. Most Google Discover URLs only receive traffic for three to four days, with most of that traffic occurring one to two days after publishing. (Search Engine Journal)
  5. The clickthrough rate (CTR) for Google Discover is 11%. (Search Engine Journal)
  1. 91.45% of search volumes in Google Ads Keyword Planner are overestimates. (Ahrefs)
  2. For every $1 a business spends on Google Ads, they receive $8 in profit through Google Search and Ads. (Google)
  3. Google removed 5.5 billion ads, suspended 12.7 million advertiser accounts, restricted over 6.9 billion ads, and restricted ads from showing up on 2.1 billion publisher pages in 2023. (Google)
  4. The average shopping click-through rate (CTR) across all industries is 0.86% for Google Ads. (Wordstream)
  5. The average shopping cost per click (CPC) across all industries is $0.66 for Google Ads. (Wordstream)
  6. The average shopping conversion rate (CVR) across all industries is 1.91% for Google Ads. (Wordstream)

  1. 58% of consumers ages 25-34 use voice search daily. (UpCity)
  2. 16% of people use voice search for local “near me” searches. (UpCity)
  3. 67% of consumers say they’re very likely to use voice search when seeking information. (UpCity)
  4. Active users of the Google Assistant grew 4X over the past year, as of 2019. (Think With Google)
  5. Google Assistant hit 1 billion app installs. (Android Police)

  1. AI-generated answers from SGE were available for 91% of entertainment queries but only 17% of healthcare queries. (Statista)
  2. The AI-generated answers in Google’s Search Generative Experience (SGE) do not match any links from the top 10 Google organic search results 93.8% of the time. (Search Engine Journal)
  3. Google displays a Search Generative element for 86.8% of all search queries. (Authoritas)
    Google displays a Search Generative element for 86.8% of all search queries. Google displays a Search Generative element for 86.8% of all search queries.
  4. 62% of generative links came from sources outside the top 10 ranking organic domains. Only 20.1% of generative URLs directly match an organic URL ranking on page one. (Authoritas)
  5. 70% of SEOs said that they were worried about the impact of SGE on organic search (Aira)

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