Thursday, November 27, 2025

EU Member States Agree on Draft Online Child Protection Rules Without Mandatory CSAM Scanning

European Union member states have reached a common position on draft legislation aimed at strengthening online child protection, stopping short of requiring global technology companies to identify or remove child sexual abuse material. As per Reuters, the announcement was made Wednesday by the European Council.

The new Council text differs from a 2023 European Parliament proposal, which would have mandated that messaging services, app stores, and internet providers report and remove known and newly detected abusive content, including grooming materials. Under the Council’s draft, providers are now required to assess the risks of their services being used to disseminate such material and implement preventive measures where necessary. Enforcement is delegated to national authorities rather than the EU.

Companies could still voluntarily check for abusive content "beyond April next year", when current online privacy exemptions expire. The legislation also establishes an EU Centre on Child Sexual Abuse, designed to support member states in compliance and provide assistance for victims.

The Council’s approach has been described as less prescriptive than earlier proposals, focusing on risk assessment rather than compulsory monitoring or scanning. Some critics have raised concerns that allowing companies to self-assess could have implications for privacy and encrypted communications.

The European Parliament has separately called for minimum ages for children accessing social media, but no binding legislation on this issue currently exists.

EU member states must now finalize details with the European Parliament before the regulation can become law.


Notes: This post was drafted with the assistance of AI tools and reviewed, edited, and published by human. Image: DIW-AIgen

Read next: Gen Z Eschews Career Advisors as ChatGPT Becomes Their Go-To for Academic Advice, Study Shows
by Asim BN via Digital Information World

Wednesday, November 26, 2025

Research Across Retailers Confirms Holiday Tactics Often Fail, Highlighting Evidence-Based Engagement Strategies

Marketing conventions are comfortable things. Marketers hold onto them - fall into well-worn grooves - especially when there’s money on the line. During busy periods, when every decision carries more weight, it can be comforting for everyone involved to opt for the familiar, proven choice. During Black Friday, brands can offer deeper discounts to drive sales. To grab attention, brands can add more urgent language. And to stand out, brands can use customers' names to stand out from the crowd. Marketers have spent so long deploying these tactics that they’ve stopped questioning their efficacy - and whether they actually work anymore.

Jacquard, a London-headquartered marketing platform, recently analysed over 200 billion email sends from major retailers over the past decade - looking specifically at campaigns during Black Friday, Cyber Monday and Christmas - to find out if these conventions really did work, or if the marketing world was barking up the wrong tree.

Perhaps one of their most significant discoveries was that their findings challenged accepted wisdom around discounts. In retail, and more broadly, the standard logic tells you that if a 40% discount performs well, then a 70% discount must perform even better. It’s understood that the more money the consumer saves, the more likely they are to purchase the item in question.

However, Jacquard’s findings suggested that this belief was mistaken. Their research found, in fact, that discounts above 60% show basically no benefit compared to offers in the 30-50% range. In fact, the best performing discount range is 40-49% off, with 30-39% also doing well. If you go higher than 60%, you won’t see any additional lift in engagement.

This is partially due to increasingly savvy consumers. A huge discount - say, 75% - suggests that there might be an issue with the item, and that the retailer might be trying to clear stock for a multitude of reasons (none of them good). There are a dozen more questions as to why there might be such an extreme discount on offer, but by the time anyone’s pondered these, their thumbs have already taken them way past your email.

On the flip side, however, any discount under 10% actually hurts engagement during the holidays. It can seem insulting. Again, savvy shoppers know that bigger discounts lie in wait at other retailers and will be prepared to go searching. Offering a discount that’s less than 10% is patronising: it reads like you don’t understand the financial pressure people are under.

Another convention Jacquard’s findings challenged was the notion of ‘personalisation’ as a panacea. It’s long been held to be true in marketing circles that personalising an email - adding customer first names, and phrases like ‘for you’ - is a surefire way to ensure your subject line cuts through the noise. Jacquard’s study suggested that actually wasn’t the case, and that, in fact, personalisation of this nature can actually reduce engagement during the holidays.

This doesn’t, however, mean that personalisation is entirely dead. Instead, it suggests that lazy, shallow personalisation now reads as transparently robotic. Consumers are familiar with filling out forms for most retailers they engage with - having a first name on file isn’t going to impress anyone. And so when brands appear after years of radio silence, to send emails that name old customers, it feels distinctly like you’ve been plucked from a database compiled by an impersonal algorithm.

Actual personalisation is more than just a name. It’s context. Building an actual relationship with a customer, or offering meaningful personalisation beyond the purely cosmetic - suggestions that are genuinely helpful, an understanding of the customer’s profile - will always be valuable. Jamming a first name into a subject line and praying for the best, won’t.

During the holidays - November and December namely - urgency tactics take a huge 75% dip in effectiveness, according to the data. Every brand is using them, so they just become meaningless. If everything’s urgent, then nothing can be. Besides, it’s obvious that things are urgent. It’s Christmas - just stepping into any shop will tell you that time is running out. There are enough reminders that the holiday season is upon us: long queues of grumpy shoppers on the weekend; glassy-eyed, overworked staff behind cash registers; public transport packed with holiday shoppers clutching oversized plastic bags. Adding urgent language on top of all this just adds to the needless stress.

The Jacquard study also discovered some fun linguistic quirks in holiday email subject lines. A single question mark was found to drive engagement four times higher than an exclamation mark during the holidays.

Question marks feel like conversation. They’re dynamic: they force the reader to respond, even if it’s just mentally formulating an answer. Exclamation marks, on the other hand, just add to the general frenetic noise of a holiday-season inbox. In the same way reading a subject line in all caps can feel as if you’re being screamed at, too-liberal use of exclamation marks can feel shouty and annoying. Especially in the context of other brands using exclamation marks - the noise only builds, and digital migraines aren’t far away.

Emoji use was also found to be vital. The Christmas tree emoji is the single most effective tactic Jacquard measured in their entire study. It outperforms the exclamation mark by 13 times. However, on the other hand, the snowflake emoji actively hurt engagement.

The difference is about specificity and emotional resonance. The meaning of a Christmas tree is clear: it’s festive, familiar, and nostalgic. It conjures images of families huddled on couches or gathered around crackling fireplaces. A snowflake just refers to a season. It’s vague, and unclear. Instead of cultivating a hit of Yuletide warmth, the snowflake just reads as cold and impersonal.

The real conclusions from Jacquard’s study are twofold. Marketers need to be more rigorous in challenging accepted conventions around holiday marketing - simply falling back into playing the hits can actively damage outreach towards the end of the year. Secondly, marketers should be cautious not to underestimate the consumer. Around Black Friday and Christmas, more than any other period, consumers are subjected to a blizzard of marketing efforts that try everything: tugging at heartstrings, impressing urgency, and calling them by name.

The inbox is a conversation. Brands that treat it as such will still be able to iterate and adapt in ten years time. The ones that don’t may find themselves just adding to the noise - and fading to static.


Image: Justin Lim / Unsplash

Read next: From Google to Chat: The Shift in Online Searching Habits
by Web Desk via Digital Information World

Tuesday, November 25, 2025

From Google to Chat: The Shift in Online Searching Habits

Three years ago, if someone needed to fix a leaky faucet or understand inflation, they usually did one of three things: typed the question into Google, searched YouTube for a how-to video or shouted desperately at Alexa for help.

Today, millions of people start with a different approach: They open ChatGPT and just ask.


I’m a professor and director of research impact and AI strategy at Mississippi State University Libraries. As a scholar who studies information retrieval, I see that this shift of the tool people reach for first for finding information is at the heart of how ChatGPT has changed everyday technology use.

Change in searching

The biggest change isn’t that other tools have vanished. It’s that ChatGPT has become the new front door to information. Within months of its introduction on Nov. 30, 2022, ChatGPT had 100 million weekly users. By late 2025, that figure had grown to 800 million. That makes it one of the most widely used consumer technologies on the planet.

Surveys show that this use isn’t just curiosity – it reflects a real change in behavior. A 2025 Pew Research Center study found that 34% of U.S. adults have used ChatGPT, roughly double the share found in 2023. Among adults under 30, a clear majority (58%) have tried it. An AP-NORC poll reports that about 60% of U.S. adults who use AI say they use it to search for information, making this the most common AI use case. The number rises to 74% for the under-30 crowd.

Traditional search engines are still the backbone of the online information ecosystem, but the kind of searching people do has shifted in measurable ways since ChatGPT entered the scene. People are changing which tool they reach for first.

For years, Google was the default for everything from “how to reset my router” to “explain the debt ceiling.” These basic informational queries made up a huge portion of search traffic. But these quick, clarifying, everyday “what does this mean” questions are the ones ChatGPT now answers faster and more cleanly than a page of links.

And people have noticed. A 2025 U.S. consumer survey found that 55% of respondents now use OpenAI’s ChatGPT or Google’s Gemini AI chatbots about tasks they previously would have asked Google search to help them with, with even higher usage figures for the U.K. Another analysis of more than 1 billion search sessions found that traffic from generative AI platforms is growing 165 times faster than traditional searches, and about 13 million U.S. adults have already made generative AI their go-to tool for online discovery.

This doesn’t mean people have stopped “Googling,” but it means ChatGPT has peeled off the kinds of questions for which users want a direct explanation instead of a list of links. Curious about a policy update? Need a definition? Want a polite way to respond to an uncomfortable email? ChatGPT is faster, feels more conversational and feels more definitive.

At the same time, Google isn’t standing still. Its search results look different than they did three years ago because Google started weaving its AI system Gemini directly into the top of the page. The “AI Overview” summaries that appear above traditional search links now instantly answer many simple questions – sometimes accurately, sometimes less so.

But either way, many people never scroll past that AI-generated snapshot. This fact combined with the impact of ChatGPT are the reasons the number of “zero-click” searches has surged. One report using Similarweb data found that traffic from Google to news sites fell from over 2.3 billion visits in mid-2024 to under 1.7 billion in May 2025, while the share of news-related searches ending in zero clicks jumped from 56% to 69% in one year.

Google search excels at pointing to a wide range of sources and perspectives, but the results can feel cluttered and designed more for clicks than clarity. ChatGPT, by contract, delivers a more focused and conversational response that prioritizes explanation over ranking. The ChatGPT response can lack the source transparency and multiple viewpoints often found in a Google search.

In terms of accuracy, both tools can occasionally get it wrong. Google’s strength lies in letting users cross-check multiple sources, while ChatGPT’s accuracy depends heavily on the quality of the prompt and the user’s ability to recognize when a response should be verified elsewhere.

OpenAI is aiming to make it even more appealing to turn to ChatPGT first for search by trying to get people to use a browser with ChatGPT built in.

Smart speakers and YouTube

The impact of ChatGPT has reverberated beyond search engines. Voice assistants, such as Alexa speakers and Google Home, continue to report high ownership, but that number is down slightly. One 2025 summary of voice-search statistics estimates that about 34% of people ages 12 and up own a smart speaker, down from 35% in 2023. This is not a dramatic decline, but the lack of growth may indicate a shift of more complex queries to ChatGPT or similar tools. When people want a detailed explanation, a step-by-step plan or help drafting something, a voice assistant that answers in a short sentence suddenly feels limited.

By contrast, YouTube remains a giant. As of 2024, it had approximately 2.74 billion users, with that number increasing steadily since 2010. Among U.S. teens, about 90% say they use YouTube, making it the most widely used platform in that age group. But what kind of videos people are looking for is changing.

People now tend to start with ChatGPT and then move to YouTube if they need the additional information a how-to video conveys. For many everyday tasks, such as “explain my health benefits” or “help me write a complaint email,” people ask ChatGPT for a summary, script or checklist. They head to YouTube only if they need to see a physical process.

You can see a similar pattern in more specialized spaces. Software engineers, for instance, have long relied on sites such as Stack Overflow for tips and pieces of software code. But question volume there began dropping sharply after ChatGPT’s release, and one analysis suggests overall traffic fell by about 50% between 2022 and 2024. When a chatbot can generate a code snippet and an explanation on demand, fewer people bother typing a question into a public forum.

So where does that leave us?

Three years in, ChatGPT hasn’t replaced the rest of the tech stack; it’s reordered it. The default search has shifted. Search engines are still for deep dives and complex comparisons. YouTube is still for seeing real people do real things. Smart speakers are still for hands-free convenience.

But when people need to figure something out, many now start with a chat conversation, not a search box. That’s the real ChatGPT effect: It didn’t just add another app to our phones – it quietly changed how we look things up in the first place.The Conversation

Deborah Lee, Professor and Director of Research Impact and AI Strategy, Mississippi State University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Read next:

• New Report Ranks the Most Invasive Shopping Apps of 2025

Young Adults Left Social Media for a Week and Ended Up Using Their Phones the Same Way


by Web Desk via Digital Information World

New Report Ranks the Most Invasive Shopping Apps of 2025

A new review of data practices across the most downloaded shopping apps in the United States shows how sharply companies differ in the way they handle user information. Tenscope examined the top one hundred shopping apps on the Apple App Store in November 2025 and scored each one on how much data it collects, shares with advertisers, or uses for its own promotions. The result is a ranking that places some major brands at the very top of the invasiveness scale while others collect almost nothing.

Foot Locker leads the list with a score of one hundred. It gathers nine types of information for cross platform tracking and sends thirteen categories of user data to advertising partners. It also uses fifteen types of data for its own marketing. The gap becomes clear when Foot Locker is compared with Dick’s Sporting Goods. Both operate under the same parent company, yet Dick’s scores only three and collects nothing for tracking across outside apps or sites.

The study shows that popularity does not predict how aggressively an app collects information. Temu is the second most popular shopping app in the country and has a score of two. Shop by Shopify is the third most popular and has a score of zero. These two apps collect only limited data and avoid the tracking practices seen in many higher scoring apps. Meanwhile Foot Locker ranks eighty five in popularity despite the highest score in the review. Nordstrom Rack and AE + Aerie also sit outside the top fifty while holding scores well into the nineties. Tenscope points to a growing trend where heavy data collection may push users away rather than strengthen engagement.

The analysis highlights how often user information is shared with outside advertisers. Twenty four apps share purchase history. This includes Depop, eBay, Macy’s, Mercari, and Etsy. Nineteen apps share email addresses with advertising networks. Ten share physical addresses. Only one app sends user photos to advertisers and that is AE + Aerie. Tenscope also found that twenty nine apps use location data for their own marketing and eight share location with external partners.

Cross platform tracking continues to play a major role in how apps build user profiles. Nine apps collect browsing history across outside websites and apps. Seventeen collect search history. These practices expand each app’s view far beyond what happens within its own interface. Foot Locker stands out again. The app collects browsing history, search details, address information, purchase activity, and usage data, then pushes much of this to advertisers.

Some of the lowest scoring apps show that a full shopping experience does not require invasive behavior. Four, Elfster, Hobby Lobby, Craigslist, and Shop by Shopify score zero. LTK follows with one. Temu, Best Buy, and Lowe’s sit at two. Dick’s Sporting Goods holds a score of three. These results show that many brands are able to run core features without building extensive data profiles.

Full list:
App Name Tracking Data 3rd Party Data 1st Party Data Score
Foot Locker 9 13 15 100
Nordstrom Rack 8 13 22 96
AE + Aerie 9 11 19 95
Kohl's 6 17 18 95
Nordstrom 7 13 23 90
Ace Hardware 9 8 17 85
Depop 10 7 7 85
Walgreens 8 8 8 76
eBay 5 10 12 65
Cars.com 5 10 10 65
Mercari 6 8 6 63
ALO 7 5 8 61
OfferUp 5 8 8 58
Ibotta 5 7 13 56
ALDI USA 4 9 10 55
Macy's 3 9 14 51
Etsy 4 8 2 50
Target 3 8 12 47
Bath & Body Works 4 6 11 47
Kroger 3 7 13 44
adidas 6 1 11 43
Sephora US 4 5 11 43
StockX 4 5 7 42
PetSmart 3 6 11 40
Victoria's Secret PINK Apparel 4 3 13 38
Victoria's Secret 4 3 12 38
Ulta Beauty 6 0 0 37
Gymshark 5 1 7 36
CarGurus 2 6 16 36
Chewy 5 0 13 35
GOAT 5 0 9 34
H&M 5 0 2 31
Alibaba 3 3 11 31
Harbor Freight Tools 5 0 0 31
Groupon 1 7 8 30
Walmart 3 3 4 29
Nike 2 4 12 28
Klarna 2 4 11 28
Quince 4 0 10 28
Poshmark 4 0 10 28
Fabletics 4 0 7 27
Fashion Nova 3 2 0 25
Bed Bath & Beyond 3 1 9 24
Aritzia 3 0 14 23
CARFAX 3 1 2 22
Official Pandora KR 3 0 6 20
T.J.Maxx 3 0 3 19
Whatnot 2 1 13 19
Sezzle 3 0 2 19
Capital One Shopping 2 1 10 19
Ralph Lauren 2 1 3 16
Safeway Deals & Delivery 1 3 2 16
Wayfare 2 0 10 15
Afterpay 2 0 10 15
lululemon 0 4 9 15
Affirm 2 0 8 15
UNIQLO 1 2 7 15
Sam's Club 1 1 14 14
Phia 2 0 3 13
Gap 1 1 12 13
Aeropostale 2 0 1 13
Athleta 1 1 11 13
Old Navy 1 1 11 13
IKEA 1 1 7 11
SKIMS 1 0 15 11
Vinted 1 1 4 11
Babylist Baby Registry 1 0 12 10
Costco 1 1 2 10
Crocs 1 1 1 10
Amazon 0 2 11 10
Abercrombie & Fitch 1 0 10 9
DHgate 1 1 0 9
Hollister 1 0 10 9
The Home Depot 1 0 10 9
Nespresso Store 1 0 8 9
Taobao 1 0 6 8
Publix 1 0 6 8
Carvana 1 0 5 8
Zara 1 0 5 8
Fetch 1 0 3 7
SHEIN 1 0 3 7
Michaels Store 1 0 2 7
BJs Wholesale Club 1 0 1 7
Carter's 1 0 0 6
Circle K 1 0 0 6
Dollar General 1 0 0 6
KashKick 1 0 0 6
AliExpress 1 0 0 6
Zip 0 0 11 3
Rakuten 0 0 11 3
Dick's Sporting Goods 0 0 9 3
Lowe's 0 0 6 2
Best Buy 0 0 6 2
Temu 0 0 5 2
LTK 0 0 4 1
Shop 0 0 1 0
craigslist 0 0 0 0
Hobby Lobby 0 0 0 0
Elfster 0 0 0 0
Four 0 0 0 0
New Report Ranks the Most Invasive Shopping Apps of 2025

Tenscope based its scoring on Apple’s privacy labels. These disclosures require developers to report the types of data they collect and how that data is used. Each data point was weighted based on how intrusive the practice is. Cross platform tracking carried the highest weight. Scores were then normalized to produce final results on a scale from zero to one hundred. All data reflects disclosures made in November 2025.

Key Questions Raised by the Findings:

The report also prompted DIW to reach out for expert context. Jovan, the co-founder of Tenscope, shared additional insight on how these findings fit into the wider privacy landscape.

One focuses on how a high invasiveness score may influence customer loyalty, install rates, or the general trust people place in a brand. Another asks why some companies continue to rely on heavy data collection even when most users show a clear preference for apps that gather less information. In response, Jovan explained that: "The core problem is consumer awareness: most people know apps collect data, but few understand the true scope. This lack of awareness is the same reason why companies follow these practices - they don't have to change since they are not receiving pushback from the customers. That was one of the reasons we did this study - to shed light on all the unnecessary (and invasive) data that shopping apps collect in the peak shopping season." 

DIW also asked about the study’s limits, noting that an app can look less invasive in this ranking because of how data is reported while still collecting information through channels not reflected here. For example, the picture may also change on Android or other platforms, which creates possible blind spots. In response, Jovan explained that "The primary limitation of this study is that it only examines apps found on the App Store, and Apple's privacy standards are much higher than Google's or those of other platforms. This means the same app could potentially collect significantly more data on the Google Play Store."

Lastly, DIW also asked how companies should prepare for upcoming changes in privacy rules and rising user expectations in the year ahead. And the cofounder explained that, "The data economy has grown faster than the older laws anticipated (new technologies often advance more quickly than safeguards, e.g. AI), so regulators are taking a more active role. If changes are coming anyway, it makes sense for companies to get ahead of these and use this as a marketing advantage, for example, by positioning themselves as “data responsible”. For consumers, the best defense is to be vigilant. Check app permissions, turn off anything you don’t need (especially location), and in general go for brands which are transparent about their data practices."

Notes: This post was edited/created using GenAI tools with human oversight.

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by Irfan Ahmad via Digital Information World

Heavy Short Video Use Shows Clear Links to Weaker Focus and Higher Anxiety, Large Review Finds

A recent review published in Psychological Bulletin brings a clearer picture of how short video habits relate to attention and mood. The paper pulls together results from 71 studies and nearly one hundred thousand participants, making it one of the largest examinations of TikTok, Reels, and similar short-video formats so far.

The researchers found a moderate link between heavier short video use and weaker cognitive performance. Attention and inhibitory control showed the sharpest drops, with correlations reaching roughly the high thirties on the negative side. These patterns appeared across age groups.

Mental health outcomes also showed a smaller but meaningful negative association. The strongest links were seen in anxiety and stress. Sleep quality, loneliness, and overall well-being also showed mild negative relationships. The pooled results did not show a connection with body image or general self-esteem, which pushes back on a common assumption that short video apps consistently worsen those measures.

The review notes that how usage is measured matters. Studies that looked at problematic or addiction-style behavior found stronger negative links than studies that measured simple viewing time. That suggests compulsive patterns may carry more risk than casual use.

The authors also point out a major limitation. Most of the underlying studies were cross-sectional, which means the data capture a snapshot. Heavier viewing could contribute to attention problems, but it is also possible that people who already struggle with focus turn to quick, low-effort content. More long-term and experimental work will be needed to sort the direction of these effects.

Even so, the combined evidence provides a clearer baseline. Short videos are widely used for entertainment and learning, but the review shows consistent associations between heavier engagement and issues tied to attention, mood, and stress. The authors encourage future work on healthier engagement patterns and practical guidance that helps people manage their habits without overreacting to the technology itself.


Notes: This post was edited/created using GenAI tools with human oversight. Image: DIW-Aigen

Read next: Global App Trends October 2025: Revenue Leaders, Download Shifts, and the AI Apps Pushing New Records
by Web Desk via Digital Information World

Global App Trends October 2025: Revenue Leaders, Download Shifts, and the AI Apps Pushing New Records

October delivered another steady month in the global app market with revenue holding strong and downloads rising across most major platforms. The data from AppFigures points to a market that is still moving toward AI, yet traditional entertainment and utility apps continue to secure large audiences. Three sets of figures define the month. Earnings at the top of the charts, download activity across both major stores, and the performance of the main AI apps that now shape much of the industry.

Top Earners in October

TikTok led global revenue once again. Appfigures Intelligence estimates it generated 316 million dollars after platform fees, slightly up from September. It remains far ahead of the rest of the field. ChatGPT held the second position with 187 million dollars in net revenue, an increase of roughly 13 million from the previous month. While not a record, the gain shows consistent demand during a period of heavy competition.


Rank iOS App Store Revenue (Millions) Google Play Revenue (Millions) Combined Total Revenue (Millions)
1 TikTok* $220M Google One $109M TikTok* $316M
2 YouTube $137M TikTok* $96M ChatGPT $187M
3 ChatGPT $133M ChatGPT $54M YouTube $137M
4 CapCut* $89M Amazon Shopping... $40M Tinder $115M
5 Tinder $85M Disney+ $31M Google One $109M
6 Disney+ $73M Spotify $31M Disney+ $104M
7 HBO Max* $70M Tinder $30M CapCut* $104M
8 Snapchat $54M HBO Max* $26M HBO Max* $96M
9 Peacock TV $54M Crunchyroll $21M Peacock TV $67M
10 Tencent Video $53M Prime Video $17M Crunchyroll $63M

YouTube, Tinder, Google One, Disney Plus, CapCut, HBO Max, Peacock TV, and Tencent Video filled out the rest of the revenue chart. Among them, Google One stood out with an all-time high of 109 million dollars, driven mostly by Google Play purchases. Its steady climb shows continued interest in storage and subscription services despite a market dominated by AI tools. When combined, the ten highest earning apps collected about 1.3 billion dollars in net revenue. The figure is close to September’s total, which indicates a stable month rather than a major surge.

Most Downloaded Apps Worldwide

ChatGPT remained the most downloaded app in the world. It reached 43.1 million installs across iOS and Android in October. Most downloads came from Google Play. This continues a streak that began earlier in the year when ChatGPT overtook TikTok. The gap narrowed slightly, but no competitor has matched its scale yet.


Rank iOS App Store Downloads (Millions) Google Play Downloads (Millions) Combined Total Downloads (Millions)
1 Google Gemini 11.8M ChatGPT 33M ChatGPT 43.1M
2 ChatGPT 10.5M TikTok* 29.1M TikTok* 35.5M
3 Threads 9.2M Instagram* 28.9M Google Gemini 34.3M
4 CapCut* 7.9M Facebook* 23.3M Instagram* 33.3M
5 Google Maps 7.0M Google Gemini 22.5M Facebook* 27.2M
6 Google 6.6M WhatsApp 19.4M WhatsApp 24.0M
7 Temu 6.1M CapCut* 15.0M CapCut* 23.0M
8 Telegram 5.3M Snapchat 14.6M Temu 19.0M
9 Google Chrome 5.0M Telegram 13.3M Telegram 18.6M
10 Gmail 4.8M PerplexityAI 13.2M Snapchat 17.8M

TikTok returned to the second spot with 35.5 million downloads after Gemini’s volume dropped from September. Gemini still ranked high at 34.3 million downloads and held third place. Instagram and Facebook kept their usual strength and finished within the top five. CapCut also climbed in demand and remained one of the stronger non AI tools on the list.

Temu also showed a noticeable gain. After a period of weaker demand, it reached 19 million downloads and moved ahead of Telegram. Another development came from Perplexity, which entered the Google Play chart for the first time with 13.2 million downloads. Across the board, the ten most downloaded apps reached about 276 million installs, slightly higher than September.

AI Apps Reach a New Revenue Peak

AI apps continued to pull more attention in October, and the five leading platforms reached their strongest revenue month so far. ChatGPT, Grok, Claude, Gemini, and Perplexity reached a combined 206 million dollars in net revenue during October. This is the highest figure the group has posted to date. ChatGPT generated most of it with 187 million dollars. Grok followed with 8.7 million dollars, which marked a fifty percent rise from September. Claude earned an estimated 5 million dollars. Perplexity reached 3.1 million dollars. Gemini closed the list with 1.7 million dollars, though its Android version does not use in-app billing, so the figure only reflects iOS transactions.


The trend shows users continue to explore multiple AI apps rather than favor a single platform. Growth patterns also resemble the early rise of streaming services where several strong players expanded at once. October’s numbers suggest this phase is still building.

Notes: This post was edited/created using GenAI tools with human oversight.

Read next: OpenAI Expands ChatGPT with Shopping Research and Richer Visual Answers
by Asim BN via Digital Information World

OpenAI Expands ChatGPT with Shopping Research and Richer Visual Answers

OpenAI is releasing two upgrades that improve product research and visual information inside ChatGPT. The first is a shopping research tool that builds a detailed guide for users who want help comparing items. The second adds more images from the web to regular answers when visuals can make information easier to understand. Both updates work across all ChatGPT plans on mobile and web.

The shopping feature creates a guided research flow. A user begins by describing the item they want, and ChatGPT then asks follow up questions about budget, features, or other limits that matter. It gathers information from publicly accessible retail sites and checks details such as price, availability, reviews, specifications, and images. It then organizes the results into a personalized buyer’s guide. OpenAI is offering nearly unlimited usage of this feature during the holiday period.

The tool supports a wide range of product tasks. It can search for items that match specific requirements and can also find similar or lookalike products. It supports side by side comparisons and can surface deals such as Black Friday discounts. It can help with gift suggestions as well. Users can upload an image to look for matching or similar items, which is useful for clothing and accessories. As the research progresses, ChatGPT displays product cards that users can mark as interesting or not. This feedback adjusts the recommendations and shapes the final guide.


A version of GPT 5 mini powers the experience. OpenAI trained it for shopping tasks so it can read trusted sources, cite reliable pages, and combine information from multiple sites. Internal testing showed higher product accuracy compared with GPT 5 Thinking, GPT 5 Thinking mini, and ChatGPT Search. OpenAI notes that price and availability may still be incorrect at times and recommends checking the retailer page before purchasing. The company also states that chats are not shared with retailers. Merchants that want to appear in results need to allow OpenAI’s crawler to access their pages.

Testing from ZDNET found that the interface feels quick and easy to use. The reviewer said the swiping style feedback system made it simple to sort through clothing, pet items, and gift ideas. When a prompt contained many different details, some recommendations aligned well while others did not, but the guide still served as a practical starting point.

OpenAI is also improving how information appears in everyday answers. ChatGPT will now show more inline images from the web when pictures can help explain something. The images appear beside the related text and can be opened to display the full size and source attribution. This update is rolling out globally for all ChatGPT plans on web, iOS, and Android for responses produced with GPT 5.1.

These changes strengthen ChatGPT’s ability to support product research and general understanding by combining structured guides with clearer visual information.

Notes: This post was edited/created using GenAI tools with human oversight.

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