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This report aims provides insight into the Banking Industry in Vietnam. We look into people's preferences into their customer experience; using either traditional or digital banks, we deep dive into the topics driving social conversations about the banking industry, and the top mentioned brands related to the banking industry in Vietnam.

We have explored the latest trends and unpacked the current situation faced by the digital banking industry in Vietnam.

Download the whitepaper and read more.

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Media Monitoring is more than just a buzz word 

There are many common misconceptions about media monitoring that need to be cleared up sooner rather than later to give your brand the best chance of positive PR. Rather than letting your company succumb to the myths and misinformation being spread around, here are three of the most prevalent misunderstandings and the fact behind the fiction:

There's more to media monitoring than the digital platforms.

Myth #1 - You only need digital

While digital platforms are becoming more important to media monitoring, this is by no means the only area you need to be covering. Tweets, online newspapers and blogs are of course crucial, but so too are traditional media options, like local newspapers, talkback radio and other offline sources.

In fact, the best way to approach your media monitoring strategy is to accept that digital and traditional media are commonly connected, rather than separate features. For instance, social is often used as an extension to broadcast offerings, according to a study from Nielsen.

Here at Isentia, we understand that all platforms are important. No matter how small. 

Myth #2 - Only the big publications matter

For many companies, getting the brand name or products mentioned on a national radio show or published in a country-wide newspaper can mean a big break. Alternatively, a negative story across these major platforms could result in a significant blow to your reputation and profitability.

It is clear, then, that keeping tabs on the big media players is crucial. However, while some media monitoring providers will focus on national newspapers, big brand radio shows and other major publications, these strategies could be missing an important element.

National publications can give you a clear picture of what millions of consumers are reading, thinking and discussing, but this is unlikely to give you much information on what the local people believe.

If your business operates in a rural or remote location, you need to be tracking the local publications.

If your business operates in a rural or remote location, you need to be tracking the local publications - no matter how small. Similarly, even newspapers circulating in smaller parts of big cities can provide a significant level of insight, if only you are aware of their readership and content.

Myth #3 - Listening is the most important part

While media monitoring is critical for business success, listening to the conversations about your brand and industry is far from the be-all and end-all to your strategies.

Once you have uncovered a relevant story or discussion, it's not enough to simply stand idly by and learn from the experience. Taking the next step involves getting an insightful and useable report, deciding on relevant and effective action and getting involved in the discussions.

Of course, this is all easier said than done, but with the right media monitoring tools, you can get started with your best foot forward. Click here to check out some of our services so that you can be on the right track! 

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A look into the changing consumption of news, and believability

It’s not a new statement to say we’ve shifted the way we consume or engage with news. However, it’s often forgotten that this shift isn’t occurring at a ‘moment in time’, it continues. While whether we click, scroll or turn a page, how we choose to consume our media is also more interesting when considering how this changes the behaviors or trust surrounding this activity.

‘When we are no longer able to change a situation- we are challenged to change ourselves ‘– Viktor E. Frankl

Much like the saying ‘you are what you read’, is our chosen method of consumption a reflection of our identity and which does our level trust in what we read, depend on the format.

While it may be easy to image an older generation still pouring over the news within a double page spread, every generation is playing its part in this shift. Looking at Australia specifically, the younger generation is still driving the most change but is this perhaps only a result of never relying on ‘one’ channel for news.

We look into how the landscape has changed, and what else can be unearthed.

Key findings in the shift of the media landscape   

• The growth of stories format and the shift to online videos, audios, images and live streams
• Digital rival’s TV for news consumption
• Social media has replaced ‘serious news’ with the trending, the viral and the buzzworthy
• The news cycle is now 24/7
• There has been a significant increase in fake news and a shift in the amount of trust people have in news
• Australians get their news from the following sources:

• Facebook 41%
• FB Messenger 11%
• WhatsApp 10%
• Instagram 9%
• Snapchat 5%
• 6 out of 10 New Zealanders read news content online and audiences spend almost 3 hours per watching broadcast TV

Trending news

With unlimited access to news and a 24/7 news cycle, people have to find a way to process the information. News happens instantaneously now and what happens today is often forgotten tomorrow.  In the world of social media, most scroll through their newsfeed and only stop to look at topics and buzzworthy or trending stories that are relevant to their current situation. Not only that, watching short video clips that provide main headlines and brief conclusions are on the rise.

Fake news

A recent study conducted by the News and Media Research Centre revealed that 73% of Australian news consumers have experience a range of fake news including:

• Poor journalism (40%).
• Politically or commercially fabricated news (25%)
• Stories pushing a political agenda (38%);
• Advertorial (33%);
• Satire (25%); and
• The use of the term ‘fake news’ to discredit the media (37%)

Those who mainly use online news as their news source were more susceptible to encountering fake news compared to print and TV and as a result, their trust in the news has diminished.

The number of stories labelled ‘fake news’ seems to be increasing almost as quickly as our concern about it. The term has been used for everything from hoaxes and satire, to contentious articles, and genuinely false information. After a data search was conducted for the number of fake news mentions across broadcast, press and online across ANZ, it was discovered Australia had a significantly higher mention rate over a 6-month period in comparison to New Zealand especially across broadcast. Over November, December and January we saw a large spike in fake news mentions across the ANZ region, especially across online - this could be as a result of Facebook being in the spotlight around fake news stories on their platform and several inquests happening during this time.

With this data it can be assumed that with so much fake news being reported, our trust in news will be affected.

Trust in news

'Trust in the news is up — but there's still only a 50-50 chance you'll trust me on that', ABC News Online

The trust in news on social media remains low however trust is highest in established news brands, public broadcasters and print newspapers. Consumers seek quality, credibility and reputation when seeking out the news and albeit its use has been declining since 2016, television is still the most popular platform for news consumption. Although there is mistrust, consumption of news on social media is very much on the rise and although there has been a steady hold with the decline in traditional formats, it could be considered ‘a new balancing act’ as it becomes the norm for digital news consumption behaviours to coexist alongside more traditional means.

Shift in demographics

A study conducted by Western Sydney University outlines younger Australians are the ones driving change in terms of news consumption and below are some interesting facts from the study:

• YouTube is their preferred social media platform (37 per cent), Facebook (15 per cent) Instagram (10 per cent) and Snapchat (6 per cent)
• They do not trust news organisations and are not reading print newspapers
• They engage with news stories as it makes them feel happy and motivated and knowledgeable
• They think news organisations don’t understand young people’s lives and don’t cover the issues that matter to them.
• Social media is a popular news source, but they are not confident about spotting fake news online

Paywalls

Trust leads to payment for news and those who pay for print newspapers or online news sources are much more likely to trust news than people who don’t pay for it. Australians remain overwhelmingly reluctant to pay for online news as there is so much information readily available for free. But when they do pay, they expect more than just the headlines – with trust in the brand and in-depth news analysis being the primary reasons that they would be willing to pay. Interestingly, although print runs are decreasing, their overall readership is not. The combined print and online readership of newspapers has been growing steadily over the past few years. One of the main reasons for the increased discussions around paywalls are due to businesses having a loss in net profit. As a result of this, businesses are introducing an online paywall, to “win back” their lost net profit. After some analysis, we found mentions around paywall to be increasing month on month in New Zealand as it is becoming more of a topical conversation in the land of the long white cloud. Comparatively, Australia are also discussing paywall however the more prominent conversations were earlier this year (February and March) and have been declining since. Could paywalls and digital subscription services be the future of receiving online content and news?

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AI has become a powerful stakeholder in its own right — from being just another ‘technological advancement’ to an active contributor to modern-day communications, that’s massively changed the media landscape today.

Isentia hosted an essential conversation with Lisa Main (Director, Main Bureau), Dr Nici Sweaney (Founder and Director, AI Her Way), Prashant Saxena (Isentia’s VP of Revenue and Insights, SEA), and Ngaire Crawford (Isentia’s Director of Insights, ANZ). Together, they explored how AI reshapes the world of communications and corporate affairs all the while figuring out how to manage and strategically engage with it.

In this session, we covered:

• Understanding AI’s behaviour and influence as a digital stakeholder.
• Navigating the unique challenges and opportunities AI presents as a new "audience."
• The long-term impact of AI and LLMs on the industries central to modern communicators.

Following the webinar, our panellists took the time to answer the most insightful questions from our attendees that we couldn't get to during the live session. Here are their expert perspectives.

Ethical governance and human-centric adoption: perspectives from Dr Nici Sweaney

As the Founder and Director of AI Her Way, Dr Nici Sweaney advocates for a strategic approach to AI that prioritises human intent over technical capability. The questions directed to her focused on the ethical foundations of AI, how organisations should structure their internal AI strategy, and practical ways to start using agents today.

Q: Could you please shed a little light on what ethical AI in your language means?

Ethical AI, to me, is about two things working together: avoiding harm and actively doing good. It’s not just “don’t break anything” — but genuinely asking, does this create value for the business, for the people using it, and for the broader world? Transparency, equity, and accountability are the pillars. Transparency means being honest with your audience and colleagues about when AI is involved. Equity means asking who this helps and who it leaves behind, as AI scales existing biases. Finally, accountability means humans stay in the loop. AI should inform decisions, not make them. When the "why" is clear — like saving a team time to focus on strategy — you are using AI with integrity.

Q: Should AI adoption be owned by IT or Internal Communications? I see staff intranets being overtaken by AI and this has implications for how employees are communicated with.

My answer is probably not what IT wants to hear. AI is part of your infrastructure, so IT must be involved for security and guardrails. However, the strategy behind adoption is fundamentally a human problem, not a technical one. I advocate for a cross-functional "coalition" that brings IT, HR, communications, and strategy to the same table. If you create a dedicated AI leadership role, that person should sit closer to human-centric functions like HR and communications. The hardest part of adoption isn’t the technology; it’s the people, the culture, and the narrative you build around it internally.

Q: What are the most effective ways to address colleagues' concerns about using AI agents in the workplace — particularly around trust, accuracy, and job security?

First, acknowledge that the fear is real; it is a biological response to an unprecedented rate of change. Trust is built through honesty. Pretending AI won’t displace roles destroys trust, so be honest about how the landscape is shifting. What actually moves people is showing, not telling. Show them how AI can solve their specific "pain points" — the tedious, joyless tasks that don't add value. When people see AI as an "empowered choice" that uplifts their work rather than replacing their judgment and strategic thinking, buy-in follows. Build confidence with small wins first.

Q: What are some simple AI agents that you would recommend communications professionals experiment with setting up?

Most professionals don’t need complex autonomous agents yet; they need custom bots and automated workflows. The magic is in understanding your process first. Some practical starting points include:

• Daily Briefings: A task that pulls from your calendar, email, and news to deliver a summary each morning.
• Meeting Prep: Automated notes that pull context and past correspondence before a meeting, and transcription tools that turn recordings into action items afterwards.
• Content Repurposing: A custom bot trained on your "voice" that can turn one talk or newsletter into 15+ social media assets and blog snippets.

Q: Our team members are using AI daily, but I know this is not safe as data is transferred back and forth. Should we create rules and ask people to sign IP protection?

Answer: Your instinct is right. If your team uses free consumer tools, your data may be used to train future models. You should move to enterprise-grade tools like Claude for Teams, Microsoft Copilot, or ChatGPT Enterprise, which offer contractual data protections. You should also build an AI Usage Policy that defines which data is public, internal, or restricted, and map AI rules to those classes. In Australia, we recommend aligning with the EU AI Act — the most comprehensive framework available — to future-proof your organisation.

Synthetic authenticity and the new media ecosystem: Perspectives from Prashant Saxena

Prashant Saxena, Isentia’s VP of Revenue and Insights for SEA, approaches AI through the lens of psychological bonding and media structural shifts. His insights address the changing role of media and the technical ways we must now communicate to satisfy AI as a new audience.

Q: Given that trust in media is dropping and media themselves are using AI more, what is the role or value media can have now?

Media's value is shifting from being the "trusted narrator" for humans to being the "training signal" for AI. When AI models generate answers, they weight authoritative media sources much more heavily than random web content. Even as human trust erodes, media’s structural influence on AI-generated information is growing. For communicators, "earned media" now serves two audiences simultaneously: the humans who read it and the machines that learn from it. Publications with strong editorial standards become more valuable because AI systems use domain authority and editorial signals as quality proxies.

Q: How does AI rank or prioritise its sources and how do you see this shaping the earned media strategy for brands?

AI models don't "rank" sources like Google does. They weight information based on source authority, recency, consistency, and structured data quality. If five credible outlets report the same fact, that fact becomes a "high-confidence training signal." This means volume across credible sources matters more than a single "big hit." For your strategy, consistency of messaging across all placements is vital because AI looks for corroboration. Factual, entity-rich statements will be picked up more reliably than narrative-heavy feature writing.

Q: With the question of trust — where does the psychology come into it when AI uses a cute nickname or 'remembers' your day? Is it harder to remain dispassionate?

This is the core of my PhD research. It is what I call "synthetic authenticity." AI systems deploy cues like warmth and memory that we evolved to interpret as human. These trigger "parasocial bonding" — the same mechanism that makes you trust a friend’s recommendation. The danger is that cognitive awareness (knowing it’s AI) doesn't override the emotional feeling. We need a new kind of literacy that teaches people to recognise when their "trust response" is being activated by design rather than by a genuine relationship.

Q: Should we be changing the format of communications to cater for AI as an audience, such as media releases in Q&A format?

Yes. This is a very practical move. AI models extract information more reliably from structured formats. A Q&A format gives the AI clear question-answer pairs that map to how people query systems. You should also focus on "AI-readable claims" — entity-rich, factual statements. Instead of saying "We are committed to sustainability," say "Our Singapore operations reduced carbon emissions by 34% between 2023 and 2025." The second version is a verifiable fact an AI can actually use and cite.

Q: PR professionals traditionally monitor media coverage through agencies like Isentia to gauge sentiment. With AI as a stakeholder, how do we monitor 'its sentiment'?

This is the new frontier. Traditional monitoring tracks what humans publish; AI sentiment monitoring tracks what AI systems say about your brand when asked. Since there is no single "AI sentiment" (ChatGPT, Grok, and Claude all give different answers based on their training), you need to monitor across platforms. We are developing capabilities to systematically query these platforms to see how their narratives change over time and identify which source materials are driving those answers.

Q: Regarding ethics and agendas in AI learning — what are the differences between models like ChatGPT and Grok, and how does this affect our brand narrative?

Every model reflects the values, training data choices, and alignment decisions of its creators. ChatGPT (OpenAI) tends towards cautious, balanced responses with strong content guardrails. Conversely, Grok (xAI) was explicitly designed to be less filtered, sometimes surfacing perspectives that other models suppress. Claude (Anthropic) prioritises honesty and nuance. For communicators, this means your brand's narrative varies by platform; you must monitor across multiple models because the same question about your brand will receive materially different answers depending on which tool is used.

Q: With many major news organisations blocking AI crawlers, how should we navigate content creation to ensure we still influence AI-generated answers?

Major publishers like the New York Times and Reuters have blocked AI crawlers, creating a gap in training data. When authoritative journalism is unavailable, AI models may fill that gap with lower-quality content or brand-owned content. For communicators, this means your "owned content" — such as your website, blog, and structured data — carries proportionally more weight in AI-generated answers. Your media targeting strategy now needs to account for which outlets are AI-accessible, as they will be disproportionately influential in shaping your narrative.

Analytical interrogation and the search for authority: Perspectives from Ngaire Crawford

Ngaire Crawford, Isentia’s Director of Insights for ANZ, emphasises the role of the analyst. Her approach is characterised by a "rhythm of interrogation," arguing that the most effective way to use AI is through constant questioning and a focus on high-authority inputs.

Q: Is AI already part of your daily work or habit? If so, how are you using it and what are your best practices?

I was initially very sceptical, but it is now part of my every day. I use models like Claude and Gemini to workshop conference outlines, plan education programmes, update code, and structure strategic thinking. My best practice advice is to develop a "rhythm of interrogation." Don't just accept the first answer; ask for evidence and challenge the output. While AI saves time on technical tasks like coding, for strategic work it simply shifts the "mental load." You spend the same amount of time, but the depth and quality are significantly improved because you aren't starting from a blank page.

Q. PR professionals traditionally monitor media coverage through agencies like Isentia to guage what stakeholders think about a brand. How do we monitor 'AI sentiment' and the information that feeds these models?

It's important to know that models are optimised to give the most useful answer, not necessarily the most accurate one. They are pattern-completing, not fact-checking. Because model responses are not fixed and change based on the conversation, I suggest focusing on the "controllable inputs" that feed them. This includes your own website, company material, Wikipedia data, and review sites (including employee reviews). Ensuring these bases are telling the intended story is the absolute best starting point for managing AI "sentiment."

Q: How does AI prioritise its sources and how does this shape earned media strategy?

There is no "PageRank" to reverse-engineer here. Models are shaped by what was prominent and widely cited in their training data. Practically, this means a shift from volume to authority. A hundred pieces of low-quality coverage do less work than ten pieces in genuinely credible outlets (major mastheads, industry publications, or your own well-structured site). The question for the modern communicator isn't "did we get coverage?", it's "does the coverage that exists, taken as a whole, tell a coherent and credible story?" AI reads the whole picture, not just the highlights reel.

Q: Now that OpenAI is opening up advertising, how much will it cost for a sentiment boost?

Honestly? We don’t know yet. The commercial layer of AI is being figured out in real time. The moment someone wonders if they are getting the "best" answer or a "sponsored" one, trust erodes. However, we still click Google ads, so it will likely happen. What's important is that organisations that "earned" their reputation through authoritative presence before the ad market caught up will be in a much stronger position than those trying to buy a shortcut later.

The path forward for the modern communicator

The insights from our panellists make one thing clear: AI is no longer a tool of the future; it is a stakeholder of the present. To lead with credibility in this new era, communicators must pivot from chasing volume to building authority. Whether it is through adopting a rigorous ethical framework, optimising content for AI readability, or maintaining a "rhythm of interrogation" with the tools we use, the goal remains the same: ensuring our brand narratives are coherent, credible, and human-led.

The tools have finally caught up to the ambitions of our industry. Now, it is up to us to provide the architect's blueprint for how they are used.

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Interested in viewing the whole recording? Watch our webinar here.

Alternatively, contact our team to learn more insights into meaningful measurement, KPIs and communicating using the right dataset.

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