Mr Branding
"Mr Branding" is a blog based on RSS for everything related to website branding and website design, it collects its posts from many sites in order to facilitate the updating to the latest technology.
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Wednesday, October 28, 2026
Same-Day Delivery Appeals to 36% of U.S. Online Shoppers, 30% in UK and 15% in Japan
Fact-Checked by Irfan Ahmad
As online retailers and delivery networks race to shorten transit times, investing heavily in micro-fulfillment centers and gig-economy courier fleets, speed remains a key battleground in e-commerce. Yet, despite the industry's push toward near-instant fulfillment, consumer demand for same-day delivery varies considerably and remains a minority preference in most major markets.
According to data from Statista Consumer Insights*, the United States leads other major markets in terms of consumer appetite for ultra-fast delivery, with 36 percent of online shoppers stating they want to receive their orders on the same day. Brazil, Australia, Canada and the UK follow closely behind, while urgency is notably lower in continental Europe and parts of Asia. Only 27 percent of shoppers in France, 22 percent in Germany and 15 percent in Japan consider same-day delivery an important factor when shopping online. While free and fast delivery remains a key priority for online shoppers, same-day turnarounds go beyond most consumers’ expectations.
*Note: Country samples ranged from 1,700 to 8,600 respondents aged 18–64, surveyed between October 2025 and September 2026.
Read next: AI Shaped Buying Decisions: 64% Bought From Unfamiliar Brands, While 68% Dropped Brands or Products They Considered
by External Contributor via Digital Information World
Tuesday, October 27, 2026
AI Shaped Buying Decisions: 64% Bought From Unfamiliar Brands, While 68% Dropped Brands or Products They Considered
Nearly two-thirds (64%) of AI users have bought from a brand they’d never heard of until an AI tool mentioned it, according to new research.
The findings emerged in a survey of 2,000 Americans who have used an AI tool or assistant for a personal task in the last three months, according to the data by We are Talker.
Seven in 10 (70%) said they have discovered a brand, product or service for the first time because an AI tool recommended or mentioned it. Of those, the majority (91%) went on to buy or use something from one of those brands.
That results in nearly two-thirds of all AI users (64%) having made a purchase from a brand AI first put on their radar, rising to 83% of Gen Z.
Those recommendations also stick. Two-thirds (66%) feel confident that they remember the brands AI recommends to them well afterwards.
Half (51%) would consider a brand they’d never heard of if AI strongly recommended it over one they already knew, rising to 64% for millennials. The results also suggest AI enters the buying journey early.
Asked when they first used AI during their most recent AI-assisted purchase, respondents most commonly said “learning about the topic” (19%), ahead of researching specific options (17%) and getting ideas or inspiration (16%).
Tim Haslam, CEO of We Are Talker, said: “AI isn’t just helping people find information. It’s starting to shape decisions and it’s doing that earlier than many brands recognize.
People are turning to it while they’re very much still learning about a topic and working out their options. That means AI can influence which brands make the cut before someone has even visited a website, read a review or even formed a shortlist.”
AI can just as easily de-influence or take a brand off the list. More than two-thirds (68%) said something they learned through AI caused them to rule out a brand or product they were considering, including 87% of Gen Z.
And more than two in five (44%) said information or a recommendation from AI had changed a decision they were originally planning to make, including 59% of Gen Z and 57% of millennials, compared with 25% of boomers.
Among those whose decisions changed, shopping and retail purchases topped the list (27%), followed by food and restaurant choices (24%), health and wellness decisions (24%) and financial choices (22%).
The effects can really show up at the checkout too. Because of AI, 18% said they spent less than they’d planned, and a similar number (17%) switched from one brand or product to another, while 14% decided not to buy anything at all. Meanwhile, 13% said they spent more, a figure that rises to 20% among Gen Z, compared with just 4% of boomers.
When AI does make a specific recommendation, most shoppers seem to end up going with it. Among those who had received one, 81% followed the recommended option at least in part.
Some took it outright (29%), while others partly followed it (24%). Three in 10 researched it further before choosing it anyway (28%) and just 6% ignored it entirely.
AI now sits alongside long-established influences on what people buy. Among respondents open to using AI in purchase decisions, 73% rated AI recommendations as very or somewhat influential. That’s close behind friends and family (76%) and customer reviews (78%), and ahead of social media influencers (63%) and Reddit or online forums (60%).
| Influence on purchase decisions | All | Gen Z |
|---|---|---|
| Google or search results | 81% | 74% |
| Customer reviews | 79% | 80% |
| Professional reviews | 78% | 78% |
| Recognized experts | 76% | 79% |
| Friends and family | 76% | 77% |
| Brand websites | 75% | 79% |
| AI recommendations | 73% | 80% |
| News and media | 69% | 80% |
| Social media influencers | 63% | 73% |
| Reddit or online forums | 60% | 74% |
When asked how often AI had played a role in their purchasing decisions in the last three months, 21% of AI users said every day, rising to nearly a third of millennials (32%) and 27% of Gen Z.
Nearly half of AI users (48%) turn to it several times a week or more when deciding what to buy, rising to almost two-thirds of Gen Z and millennial users (64% each). Just 17% said AI had played no part in their purchasing in the past three months.
The results form part of We are Talker’s ‘Consideration, Trust, Choice’ report examining how AI is impacting consumer decisions.
Tim Haslam, CEO of We Are Talker, added: “AI can introduce a brand someone has never heard of, move another out of consideration and influence which one gets chosen.
“That makes the challenge for businesses very different. It’s no longer enough simply to be visible. You need enough credible, independent evidence for AI to understand why your brand deserves to be considered and recommended. Brands that build that authority can win customers they may never previously have reached. The ones that don’t may never even know they were excluded from the decision.”
Read next:
• How Your Personal Data Is Collected and Used Online
• Big Tech Software Alternatives for Browsing, Email, Work and Design
• How to Add Automation to Candidate Sourcing Without Losing Human Review [Ad]
by External Contributor via Digital Information World
How to Add Automation to Candidate Sourcing Without Losing Human Review [Ad]
Recruiting teams can spend hours copying profile details, searching for contact information, and repeating follow-ups. Automation can reduce that repetitive work, but a faster list is not necessarily a better shortlist. Outdated profiles, narrow search criteria, and unreviewed messages can spread through the workflow just as quickly as accurate information.
The practical challenge is deciding where software helps and where a recruiter needs to check the evidence. Start with one vacancy, a small test group, and clear rules for what happens before a candidate receives a message. The following steps make that division easier to manage.
1. Define the task before choosing the tool
Separate discovery, contact research, screening, and communication. Each task has a different success measure. Finding more profiles may help discovery; it says little about whether those people meet the vacancy's requirements. Agree with the hiring manager on the experience the role needs and the evidence that would support it.
A platform for automated talent sourcing can help recruiters search professional profiles, find contact details, and organize candidate records. Those functions are useful inputs to a hiring workflow. They do not establish that someone is qualified, available, or interested. Write down which outputs require a person to check them before the next step starts.
2. Test the search on a small sample
Start with twenty or thirty results and read them before saving hundreds more. Check whether titles, skills, locations, and seniority match the brief. If a search for a security engineer mainly returns physical-security roles, revise the query. If relevant people use several different titles, add those alternatives rather than relying on one familiar label.
Also examine who the search may overlook. A degree requirement, exact employer list, or rigid tenure filter can exclude people with comparable experience. Ask the hiring manager which filters reflect actual job needs and which are convenient shortcuts. Keep a record of changes so another recruiter can understand why the pool widened or narrowed.
- Compare each result with the same written role criteria.
- Use job-title alternatives and adjacent experience where relevant.
- Remove duplicates before counting the size of the pool.
- Record unresolved questions instead of converting missing information into a rejection.
3. Check identity and employment before contact details
A profile database may contain a previous title or employer. Cross-check the person's current professional profile, company biography, or recent work history before contacting them. When sources disagree, mark the record for review. Do not assume the newest-looking interface contains the newest information.
A usable email address answers a different question from a relevant work history. One concerns the contact channel; the other concerns the person and role. Record the source and date for both. This distinction becomes particularly useful when data moves into an applicant tracking system, where an imported record can otherwise look more certain than the evidence supports.
4. Put review gates into the workflow
The Recruitment process covers more than discovering people: it also includes assessing applications, interviews, and hiring decisions. Define how sourced profiles enter that wider process. For example, require a recruiter to confirm role relevance before adding someone to an outreach list, then require a response or completed application before moving them into screening.
Use simple statuses such as Needs Review, Ready for Contact, Replied, and Closed. Give each record an owner and a next action. Avoid a rule that moves every new profile directly into a message sequence. A mistaken job match or stale employer reference is easier to correct before the candidate sees it.
- Review a small set of profiles against the vacancy criteria.
- Verify identity, current employment, and the intended professional contact channel.
- Approve the message and the reason for approaching each person.
- Assign replies to a recruiter who can answer questions.
- Close the thread when someone declines or asks for no further contact.
| Stage | Software contribution | Human check |
| Discovery | Search and organize profiles | Relevance to the role |
| Contact research | Find available channels | Identity and current employment |
| Outreach | Schedule approved messages | Accuracy and replies |
5. Keep automated messages specific and restrained
Draft the first message around the actual opportunity: responsibilities, location, working arrangement, and a brief reason the person's experience appears relevant. Check any statement about their work before sending it. An automatically generated compliment that misstates a project can damage trust before the role is even discussed.
For example, a recruiter hiring a logistics analyst could refer to verified experience in inventory reporting, share the role's scope, and ask whether the person wants the full brief. Avoid suggesting that software has already determined they are a perfect fit. Use a limited follow-up plan, and make sure replies pause further scheduled messages and reach a person.
6. Measure quality and correct the weak step
Track relevant profiles, qualified conversations, and progression to assessment alongside the time spent on research. A larger contact list or higher send count can hide weak targeting. Sample records regularly to check for stale employment details, duplicate messages, unsupported screening notes, and unresolved candidate questions.
Review problems at their source. Poor matches call for better search criteria; incorrect contact details call for fresh verification; unanswered replies call for clearer ownership. Change one part of the workflow at a time so the team can tell whether the adjustment helped. Automation earns its place when the resulting records and conversations are easier to trust, not simply when more steps run without a click.
Edited by Irfan Ahmad.
Read next: Study Finds 56% of AI Collaborations Consequential, 67% Involve Requests for AI to Explain or Teach
by Sponsored Content via Digital Information World
Monday, October 26, 2026
How Your Personal Data Is Collected and Used Online
You search for a hotel, explore an idea for a mobile app or ask ChatGPT a question. You might even save the idea in Gmail to share with your partner later. And then, you see a related ad on Facebook or YouTube. It can feel like digital companies are listening to your conversations.
Image: Zan Lazarevic - Unsplash
How Your Online Activity Becomes Valuable
Searches, website visits, purchases, location signals and app activity can reveal details about a person.
Trackers help in collecting this information. Cookies and tracking pixels can record website activity, while software development kits (SDKs) let apps send information to outside services. Browser fingerprinting can also help identify devices through details such as browser settings and screen characteristics. The US Federal Trade Commission (FTC) explains these methods in its guide to online tracking.
Companies can combine these signals to build profiles of people's interests and likely behavior. Someone who searches for flights and visits hotel websites may be classified as a potential traveler. Advertisers can use that profile to reach people who are more likely to buy their products.
Data brokers gather information from different sources and compile profiles for sale or sharing. In a 2024 enforcement case, the FTC alleged that a data broker used location histories to classify people into groups such as “parents of preschoolers” and “wealthy and not healthy”. This shows how location data collected through apps can reveal sensitive details about people's lives.
How Big Tech Uses the Data
For companies such as Google and Meta, personal data helps power targeted advertising. Advertisers pay to reach selected audiences, and platforms use their advertising systems to decide which ads to show. The platforms can earn revenue from this process without selling advertisers a person's name or complete personal profile.
Information can also move between services. A retailer using Meta Pixel, for example, may send website activity to Meta for advertising. Meta announced in June 2026 that it would also use activity businesses already shared with it to personalize Facebook and Instagram feeds and AI responses, extending its use beyond ads. Meta said the change involved using existing data for additional purposes, not collecting new data.
Google's privacy policy, effective October 16, 2026, offers another example. Users may allow services such as Search or Gemini to access information from Gmail, Drive and Google Photos to personalize their experience. Search may use permitted data to personalize content, including ads.
Google says it does not show personalized ads based on content from Gmail, Drive or Photos unless users choose to make data from those services available to other Google services that support personalized ads. Its Gmail help page also says Gmail does not scan or read messages to select ads shown inside Gmail.
These examples show how data shared across services can be used for purposes beyond the one for which people originally provided it.
What AI Adds to the Picture
People share more than browsing activity with AI tools. Depending on the product and its terms, companies may use submitted content to provide answers, improve services or train models.
Advertising is a separate use. OpenAI's privacy policy, updated in 2026, describes sharing limited information with selected marketing partners to promote its products on third-party websites and apps. Its explanation of this practice says partners may receive identifiers linked to a browser or device, an IP address or a hashed email or phone number, along with basic commercial or browsing information. OpenAI says it does not share conversations or uploaded content with those partners for this advertising purpose.
As AI becomes part of everyday life, users may need to consider not only what they share with these tools, but also how the companies behind them use data to reach and influence them.
What Can Users Do?
Read a service's privacy policy and terms before signing up, especially if you plan to share private conversations, documents, photos or location data. Check them again when the company changes its policy or introduces a new AI feature.
Look for sections on data collection, advertising, sharing, retention, AI training and account deletion. Ask practical questions: What information does the service collect? Why does it need it? Can it share that information with advertisers or other businesses? How long does it keep the data? Can you delete it?
Then compare the answers with your own expectations. If an app requests access to contacts, photos or location that it does not need for its main function, deny that permission where possible. If a company's data practices go beyond what you accept, consider limiting what you share, disconnecting linked services or switching to an alternative with clearer privacy practices. Before deleting an account, check what happens to stored content and retained data.
You can also reduce some forms of tracking with Privacy Badger which is a free browser extension that blocks many third-party trackers.
These measures have limits. Tracker blockers cannot prevent all data collection inside apps or accounts, and private browsing does not make you invisible to websites. Data brokers may also retain information gathered from other sources. Treat these tools as ways to reduce exposure, not erase your digital footprint.
Why This Is a Public Issue
Concern about these practices is widespread. In the US, a March 2026 Verasight survey found that 75% of 1,000 adults were concerned about their online activities being tracked, while a separate Pew Research Center survey found that 71% said increased AI use would make their personal information less secure. Similarly, in a survey of 2,074 UK adults conducted in May 2026, consumer group Which? found that 72% were worried about the security of their data, 71% about how businesses collect and use it, and 69% about how businesses use AI in ways that affect them.
Individual choices can reduce exposure, but they cannot solve every problem. People can share reliable privacy guidance, ask companies to explain unclear practices and raise concerns with consumer groups, regulators and policymakers. When a company's data practices affect large numbers of people, public pressure can help push for clearer rules and meaningful choices.
Personal data helps fund online services and can make products more useful. But people need to know what they are sharing, how companies use it and who else can access it. Without clear answers, they cannot make an informed choice about the services they use.
Read next: AI Chatbots Push Users to Share Sensitive Data During Tax Help, With ChatGPT Most Persistent, Analysis Finds
by AI Analysis via Digital Information World
Saturday, October 24, 2026
Big Tech Software Alternatives for Browsing, Email, Work and Design
Fact-Checked by Irfan Ahmad.
Big tech companies make the devices we use and the operating systems that come on them. They also make the bulk of the default software that comes packed into those operating systems. But spend even just a few moments of your time looking, and you’ll find a variety of other options out there.
Using software made by big tech companies means having to accept their decisions about subscription prices, features, and which apps they keep available. Subscription prices always seem to rise, new features often fail to solve the problems real users face, and companies may abandon your favorite small app/feature if it does not make enough money to justify keeping it. But you are not stuck with the default options: you can find and choose replacements that are more (or less) feature-rich, more privacy preserving, and developed by passionate individuals concerned with making good software, rather than just making money.
Here are some alternatives to consider, covering web browsers, search engines, email, office software, and design tools.
Browsers
Have you been using the default browser that came with your phone or laptop since you got it? Chrome, Safari, or Edge? There are plenty of alternatives, and many of them are just as good as the defaults, if not significantly better. Switching to a better, more trustworthy browser can give you improved privacy and usability settings right out of the box, without having to reconfigure everything yourself. The only thing you might need to do is transfer your bookmarks to the new browser. Most browsers make this easy with export and import options.
For a starting point, some browsers that focus on preserving privacy, to various degrees, include: Brave, DuckDuckGo, Firefox, and Vivaldi. And of course, the Tor Browser, which might not be an everyday browser for many people, but is always good to keep around. Remember, you can have multiple browsers installed! It can be helpful to use one browser for work and another for personal matters.
Image: DIWYou can also consider browser extensions such as Privacy Badger, which helps block trackers that follow your activity across websites.
Web Search
Google might be a verb for some age groups, but not for everyone. To further decouple the term from searching the web, you can start using another search engine. Yes, there are other ways to search the web beyond Google, and many of them are more privacy preserving, more customizable, and less ad-ridden. Many also give you more power over how AI features work or whether you use them at all.
DuckDuckGo is the most popular privacy-preserving alternative, but others, like Brave Search and Startpage may be worth checking out. If you’re willing to pay a subscription fee, Kagi is another option. Whichever you choose, be sure to take the time to change the default search option in the browser you just installed so it always uses your new choice.
While it dominates the email landscape nearly as much as its search engine, Google’s Gmail is not the only email provider out there. In fact, there are tons of options to choose from, many that’ll have special feature sets that better suit your needs. Leaving Gmail can be a tall order if you’ve had your account for decades, but other platforms might offer stronger privacy, fewer (or truly optional) AI features, and more powerful automation.
Proton Mail, Tuta, and Mailbox all offer some level of end-to-end encryption for your emails, at least with email sent between users of the service (like a Proton Mail user emailing another). They all also claim to provide additional privacy in one way or another, like blocking trackers and not including ads. If the security features aren’t interesting to you, other options, like Fastmail, provide powerful email tools outside of the big tech ecosystem.
Office Suites
Microsoft Office is a massive and expensive suite of software. Regardless of whether you pay for a subscription or just a one-time fee for one specific application, there may be free or cheaper one-time payment options that better suit your needs without draining your pocketbook.
If you’re looking for direct alternatives to Microsoft Office that work similarly, two of the more popular choices are both free and open-source: LibreOffice and OnlyOffice.
If you need something with more collaborative features, alternatives like Proton and CryptPad offer more private document collaboration across a series of different file types and formats. If it’s just text documents you collaborate on, others, like Ellipsus, try to replicate the feeling of Google Docs without the AI features and Big Tech surveillance apparatus.
If you just need a word processor, there’s a zillion to choose from, typically designed around different philosophies or use-cases. There are paid apps like Scrivener and Ulysses for authors, and iA writer or Calmly for those looking for something minimal without going fully over to a plain bones text editor.
As for notetaking, Obsidian is one of the most comprehensive apps out there and often suggested as a replacement for apps like OneNote. But if it doesn’t suit your needs, you have tons of alternatives, including end-to-end encrypted options like Standard Notes, NotesNook, and Joplin, and minimalist apps like Simplenote and Bear.
Design Software
Adobe’s Creative Suite is an expensive subscription, and one that not everyone really needs. Replacing Adobe’s suite of software can be difficult, but it’s not impossible. Some of the alternatives can be a little rough around the edges, but they can get the job done, and perhaps most importantly, they are often free to use.
Some free and open-source alternatives to various parts of Adobe’s suite include:
While not open-source, other free options include Davinci Resolve (Premier) and Fusion (After Effects). If you’re looking to replace a large chunk of software collection in one go, Affinity Suite (Canva) may also be worth a look. It’s not open-source, but it is free.
This is by no means an exhaustive list of every type of software that exists. There are many, many other available options. But this will hopefully be useful to start your journey. For more ideas, check out sites like Privacy Guides, The Verge, Wired, and just about every tech site out there. AlternativeTo can also be a useful place to start your search.
Note: Based on an article originally published by the Electronic Frontier Foundation (EFF) and republished under the Creative Commons Attribution (CC BY) license, with edits for clarity and readability.
Read next:
• Age Checks, AI Regulation and Censorship Put Internet Freedom Under Pressure
• Apple’s Siri AI Can Access More of Your iPhone. Here’s How to Limit It
by External Contributor via Digital Information World
Thursday, October 22, 2026
Age Checks, AI Regulation and Censorship Put Internet Freedom Under Pressure
Image: Jonathan Kemper - Unsplash
Since its launch, Tech Policy Press has covered the findings of the annual Freedom on the Net report from Freedom House, a nonprofit organization founded in 1941 to advance democracy and human rights. As TPP noted last year, it is typically grim reading, a chronicle of governments suppressing dissent, people arrested for nonviolent expression, tallies of those attacked or killed for their online activities, and other threats to internet freedom.
It should come as no surprise to our readers that the topline results in this year’s report correspond to more of the same, as authoritarianism continues its advance across the planet. Freedom House finds that “Global internet freedom declined for the 16th consecutive year.” Among the most significant developments was Iran, which, amid demonstrations that rocked the country earlier this year and the subsequent United States and Israeli military strikes on the country, “imposed the longest nationwide internet shutdown Freedom on the Net has ever recorded.” In Russia, the Putin regime “consolidated control over internet service providers (ISPs),” further restricting internet access and introducing new censorship measures.
But the problem goes far beyond these worst offenders: only 9.1% of the world’s internet users live in countries that Freedom on the Net considers “free.” The US remains in that increasingly lonely category, but it has seen its standings decline substantially over the years. Owing to mass surveillance of online activists by federal authorities, prosecution of journalists who reported on protests against immigration enforcement activity in Minnesota, and “steeper penalties on people for their online activities” in various parts of the country, the US scores 73 on the 100-point scale, just four points from the “partly free” category.
Age checks and AI raise new concerns
One prominent trend driving concern over internet freedom, according to Freedom on the Net, is the global proliferation of measures to restrict children and teens from accessing certain online content. (Tech Policy Press is tracking this trend in its Global Social Media Age Restriction Tracker.) These policies often come with requirements for age assurance, which the report says “has become a pressing rights and cybersecurity issue.” Pointing to Turkey and China, Freedom on the Net says these laws “open a new potential vector for abuse, with identification requirements enabling bad actors and repressive governments to create a footprint of people’s online activities.”The report warns that age checks relying on facial scans, government-issued identification or other sensitive personal data can threaten privacy and anonymity. It also points to evidence that children have continued to access social media despite new restrictions. Policymakers and technologists who seek to implement age assurance in a rights-respecting manner will need to work together to overcome technical obstacles and to mitigate the privacy and security risks, according to the report.
The report extends the focus from prior years on the threats that artificial intelligence — and often, attempts to regulate it — poses to internet freedom. Pointing to measures across multiple countries targeting the use of AI for online harassment and impersonation, as well as mitigation measures such as labeling AI-generated content, Freedom on the Net says some “raised concerns about overreach.”
India, for example, introduced rules requiring prominent labels on AI-generated content while shortening the period in which platforms must remove content flagged by authorities from 36 hours to three hours. Civil society groups warned that the shorter deadline could encourage platforms to remove legitimate journalism and satire rather than risk penalties. In Mexico, authorities arrested two online journalists under a law restricting certain uses of AI-generated images and voices, despite a carveout for journalism.
Where there is good news, it stems from “mass movements that overthrow repressive leaders,” such as in Bangladesh and The Gambia. Bangladesh’s status has steadily improved since a popular uprising led to the removal of Prime Minister Sheikh Hasina in 2024. It recorded the largest improvement for the second consecutive year and experienced its first year without an internet shutdown in a decade.
The Gambia continues to see improvement since it ousted Yahya Jammeh nearly a decade ago. The report credits reforms to censorship rules and the passage of a data protection law in December 2025. The report lauds the use of digital tools to mobilize pro-democracy movements in India, Iran, Hungary, Serbia, Kenya and Cuba, noting these movements are often met with state violence and retaliation.
Every year, the report comes with a list of policy recommendations. These are much the same as prior years, insofar as they address internet shutdowns, the need to instill “accountability mechanisms and normative frameworks to disincentivize the misuse of surveillance tools,” the need to improve digital security safeguards for journalists and human rights defenders. A new recommendation this year calls for support for satellite internet access.
The report also urges policymakers to put internet freedom at the center of decisions about agentic AI, systems that can carry out tasks with limited human intervention. As these systems become more widely adopted, societies will face choices about how to configure the internet around them. Freedom House says those decisions should preserve open exchange and free expression as fundamental values.
Freedom House adapts to a new funding reality
Close readers of our prior coverage of the report will know that, for years, Freedom on the Net was substantially funded by the United States government under its portfolio of projects to advance democracy and human rights. That portfolio was decimated in the first year of the Trump administration, and Freedom House suffered substantial layoffs after cuts to State Department-funded democracy and internet freedom projects “severely impacted” the organization. As we previously reported, the funding cuts affected Freedom House’s ability to produce the Freedom on the Net and sustain its network of more than 200 internet freedom defenders. The impact is evident in this year’s report, with the organization no longer able to work with researchers and local organizations across all the countries assessed, instead relying on staff-written summaries and consulting independent experts on only a subset of them.
This year’s report says it was funded by “the Dutch Ministry of Foreign Affairs, Google, Internet Society, and The New York Community Trust, as well as through Freedom House’s partnership with Rutgers Democracy Lab (RDL).” The methodology section of the report suggests this new constellation of supporters did not provide enough funding to sustain the same approach used in years past.
“We've made good progress to stabilize Freedom on the Net in this new funding environment, though it required the difficult decision to scale back the scope of the 2026 edition,” said Kian Vesteinsson, deputy director for research at Freedom House and one of the authors of Freedom on the Net. “As in previous years, our network of partners in the global digital rights community played an important role in informing and validating the findings. I'm optimistic that more donors with a strong commitment to the transformative power of the internet will step in to ensure the project's long-term health, particularly as agentic AI makes research on digital rights all the more urgent.”
Editor's note: Republished from TPP with minor updates to hyperlinks, source references, and wording for clarity. The original meaning and reporting have been preserved.
Read next: AI chatbots could help mental health but also reinforce harmful thinking
by External Contributor via Digital Information World
AI chatbots could help mental health but also reinforce harmful thinking
Image: Aerps.com - Unsplash
Artificial intelligence chatbots could help people better understand and manage their mental health, but they could also reinforce harmful thoughts and increase emotional dependence, a Curtin University researcher warns.
Published in Digital Health, the paper compares AI conversations that follow two possible paths: one that helps people explore their problems and consider new perspectives, and another that traps them in a cycle of repeated thoughts and reassurance.
Author and Professor of Mental Health Warren Mansell, from the Curtin School of Population Health, has proposed a new framework to explain why AI conversations can have very different effects on people depending on their emotional state, what they hope to gain from the interaction and how the chatbot responds. Professor Mansell was the first to evaluate a therapy chatbot, back in 2013, and his research has focused on trying to measure and understand how a person’s attention either narrows or broadens during a conversation.
Professor Mansell said chatbots could be helpful when they helped people to explore their feelings and question their assumptions, rather than simply agreeing with everything they said.
“AI conversations can move in very different directions depending on what a person brings to the interaction and how the chatbot responds,” Professor Mansell said.
“For some people, a chatbot may provide a space to express their feelings and explore problems without fear of judgement. For others, repeatedly receiving reassurance or having their existing beliefs confirmed could make it harder to see things differently.”
Research into AI and mental health has produced contrasting results. Some studies suggest chatbots can reduce symptoms of depression and anxiety, while others have raised concerns about harmful responses, emotional dependence and AI reinforcing users’ existing beliefs, even when those beliefs could be damaging.
Professor Mansell said the same chatbot could potentially help one person while having a negative effect on another or even affect the same person differently depending on how they use it over time.
For example, someone experiencing anxiety might use a chatbot to explore their worries and consider alternative ways of looking at a situation. However, if the conversation repeatedly focuses on seeking reassurance or confirming their fears, it could narrow their thinking rather than help them work through the problem.
The paper suggests the risks could be particularly concerning for people who are already vulnerable and most in need of psychological support.
While AI chatbots are often accessible, inexpensive and available at any time, Professor Mansell argues their benefits may depend on whether they encourage meaningful reflection or simply provide immediate reassurance to keep users engaged.
He said developers should design chatbots that encourage people to think through their problems, ask thoughtful questions and consider different perspectives, rather than simply telling users what they want to hear.
The proposed framework also highlights the importance of understanding how conversations develop over time, rather than judging a chatbot’s effectiveness solely on whether users feel better immediately after an interaction.
Professor Mansell recommends people approach AI conversations with a clear purpose and consider how their use of chatbots fits alongside other priorities and relationships in their lives.
The proposed framework is yet to be tested, and further research is needed to establish why some AI conversations may support mental health while others could increase psychological distress.
As AI becomes an increasingly accessible source of mental health support, Professor Mansell said understanding these differences would be important for developing safer and more effective technology.
The paper ‘Up the mountain or down the rabbit hole? A simple rubric to conceptualise the benefits and risks of AI conversations as dynamic changes in awareness’ was published in Digital Health.
Read next: EFF Calls for Digital Platforms to Balance Interoperability and Security
by External Contributor via Digital Information World






