Blog post
June 24, 2019

TV News Network

Five Reasons why people trust TV News Network 

Whether we like it or not, news networks play a huge role in how we form opinions. In fact, the news can be so powerful, it can even shape other news networks’ perceptions of truth. For example, remember that time The Onion named Kim Jong-un the sexiest man alive for 2012, and the People’s Daily Online in China missed the satire and reported it as fact?


While this may make us laugh and may seem like a silly example, it illustrates an important point. People tend to trust what news networks are saying – and this trust doesn’t end with print news. It bleeds into every facet of news, especially televised news.

Here are the five reasons why…

1. Tradition

One of the top reasons people trust TV news networks, especially over newer sources of reporting, is tradition. TV news reporting has been around much longer than internet search and social media, making it more established. When it comes down to it, people are more likely to trust TV news networks because of their confidence in the institution.

2. Loyalty

Another reason for trusting TV news boils down to loyalty. When people have been watching their favourite anchors day-in and day-out for years, they develop a bond of familiarity. With familiarity comes loyalty, and loyalty breeds trust.

3. Communal reinforcement

It’s easy to have confidence in a TV network when the reporting supports your own belief system. In order to maintain trust, news networks tailor their stories to fall in line with the belief systems of their most loyal viewers.

4. Right from wrong

It’s a common theory that news anchors are obliged to shine light into dark places. The only way to accomplish this is by being an advocate of truth.

5. Controversial coverage

News networks also elicit trust from their audience by being the primary source of information about big and controversial stories that the public wouldn’t have much access to otherwise. When a small group of TV news anchors are the only people adequately telling a story, the viewers don’t have many other options for gathering information. As a result, most viewers will trust the story being told.

Whether or not you trust TV news networks over other sources of information, one thing is for certain – TV news networks have a powerful and influential effect on our society.

Share

Similar articles

object(WP_Post)#7543 (24) { ["ID"]=> int(30012) ["post_author"]=> string(2) "36" ["post_date"]=> string(19) "2024-02-21 21:57:40" ["post_date_gmt"]=> string(19) "2024-02-21 21:57:40" ["post_content"]=> string(10257) "

The story around supermarket prices has been evolving for a number of months, finally reaching an inflection point as the Woolworth’s CEO appeared in a challenging interview with Four Corners and then announced his upcoming retirement only two days later.This chain of events underscores the critical importance of understanding the connections made by broadcast media, as they can significantly influence public perceptions and shape the narrative surrounding key industry players.

https://www.reddit.com/r/PublicRelations/comments/1aukych/australia_woolies_ceo_interview_mishap/?share_id=S-JDSwqI-UlHg_mIeTlkg&utm_content=2&utm_medium=ios_app&utm_name=ioscss&utm_source=share&utm_term=1

It was only the latest in a series of media items to seize Australia’s attention, and cast the nation’s supermarkets into something of a PR and Comms crisis.

And yet, viewing events through this framing also only gives a partial picture. As the discussion surrounding the impact of supermarkets on the rising cost of living intensifies, we've observed a notable surge in the usage of terms such as 'shrinkflation' and 'skimpflation'. Reaching back even further, we can see how the topics attained a gradually greater place on Australian news and social channels. Shrinkflation and skimpflation are tactics employed by supermarkets during economic challenges. Shrinkflation involves reducing product sizes while maintaining prices, subtly passing on costs to consumers. Skimpflation maintains product sizes but compromises on quality to preserve profit margins. These strategies often frustrate supermarket shoppers, especially during economic strains like inflation.

Clearly, the topic has become ubiquitous. But if we want to understand how information and perceptions have been communicated to mainstream Australian audiences, then it becomes vitally important to pay particular attention to broadcast media. 

Broadcast media (which includes television, radio and podcasts)  plays a pivotal role in shaping public discourse and influencing perceptions, particularly on pressing issues such as the cost of living crisis. 

Using Isentia to monitor these data sources, we gain valuable insights into their contribution to consumer attitudes. From identifying which organisations are most associated with the issue to pinpointing key public figures and preferred channels within radio and TV, broadcast media monitoring allows us to understand the complex dynamics that shape public opinion.

It’s the oldest of these media types which accounts for the most mentions of the supermarket crisis. Beyond reporting updates on the senate inquiry and government actions, radio excels in facilitating in-depth conversations between hosts and listeners, which surfaces more individual consumer stories than television or podcasts can match.

ABC's predominant coverage of the topic corresponds with the network's content strategy. Major programs such as the Supermarket Four Corners special and podcasts like The Briefing attract substantial listenership and garner attention from other channels. Channel 7, in addition to delivering key news updates, focuses on the shopper experience within supermarkets, shedding light on everyday challenges faced by audiences, such as navigating shrinkflation and skimpflation tactics.

Understanding the majority share of broadcast channels within this topic is important as it reflects who has the loudest voice, and is most persistently advancing a certain narrative or way of framing the situation. 

Coles and Woolworths dominate the conversation, reflecting their prominent presence in the retail landscape. Their widespread accessibility and familiarity to consumers make them prime subjects for discussion in the context of rising costs and economic pressures. 

Conversely, Aldi and IGA, while still significant players in the grocery market, may receive comparatively less focus in these discussions. Aldi's reputation for offering lower-priced alternatives and IGA's decentralised business model, with independently owned stores, may also contribute to their reduced presence in conversations about supermarket practices during times of economic strain. 

Each channel and network approaches discussions about supermarket groups differently. While Coles and Woolworths understandably dominate each station's broadcasts, the precise balance (and the time afforded to Adi and IGA) is revealing.

For instance, 4BC has encouraged audiences to diversify their shopping habits, with one 4BC broadcaster highlighting that "Aldi and IGA are actually doing more than the other two to really help enormously with the cost of living."

In the discourse on supermarket practices during the cost of living crisis, a number key figures emerge across broadcast channels. Anthony Albanese, the Australian Prime Minister, is predictably prominent on just about every channel, particularly broadcaster 2SM. 

All of them, that is, apart from the Australian Broadcasting Corporation (ABC), which spotlights Allan Fels, an economist and former ACCC chair who has analysed price gouging by major corporations. Other notable politicians mentioned include Treasurer Jim Chalmers, Craig Emerson, Steven Miles, and David Littleproud. 

Media's focus on these figures is crucial for shaping public discourse and policy responses amid economic pressures. While supermarkets are often discussed as a key antagonist in the cost of living crisis, they are increasingly being viewed in the context of potential solutions, particularly regarding government policy to regulate supermarket giants.

At the same time, focus does not only fall on the prominent individuals driving business decisions and policymaking. Country Hour (NSW), for instance, focused a story on cherry grower Michael Cuneo, who ceased selling to supermarkets after he made a financial loss on a shipment of fruit. And it was this story that achieved the greatest media reach of any radio content on the topic.  

Clearly then, the topic has not played out in any one way across any one channel. The prominence of key figures and top broadcast channels in this conversation underscores the importance of understanding how media coverage impacts public discourse and regulatory decisions. Isentia's broadcast capabilities offer unparalleled insight into the role of broadcast media in shaping the narrative surrounding supermarket practices. By harnessing Isentia's monitoring and analysis tools, organisations can gain deep insights into how influential discourse and coverage can impact an industry. 

Interested in learning more? Email us at info@isentia.com

" ["post_title"]=> string(77) "How Australian broadcast media has shaped the cost of living crisis narrative" ["post_excerpt"]=> string(0) "" ["post_status"]=> string(7) "publish" ["comment_status"]=> string(6) "closed" ["ping_status"]=> string(4) "open" ["post_password"]=> string(0) "" ["post_name"]=> string(77) "how-australian-broadcast-media-has-shaped-the-cost-of-living-crisis-narrative" ["to_ping"]=> string(0) "" ["pinged"]=> string(0) "" ["post_modified"]=> string(19) "2025-02-11 23:49:38" ["post_modified_gmt"]=> string(19) "2025-02-11 23:49:38" ["post_content_filtered"]=> string(0) "" ["post_parent"]=> int(0) ["guid"]=> string(32) "https://www.isentia.com/?p=30012" ["menu_order"]=> int(0) ["post_type"]=> string(4) "post" ["post_mime_type"]=> string(0) "" ["comment_count"]=> string(1) "0" ["filter"]=> string(3) "raw" }
Blog
How Australian broadcast media has shaped the cost of living crisis narrative

The story around supermarket prices has been evolving for a number of months, finally reaching an inflection point as the Woolworth’s CEO appeared in a challenging interview with Four Corners and then announced his upcoming retirement only two days later.This chain of events underscores the critical importance of understanding the connections made by broadcast media, […]

object(WP_Post)#9095 (24) { ["ID"]=> int(49595) ["post_author"]=> string(2) "75" ["post_date"]=> string(19) "2026-08-26 03:39:30" ["post_date_gmt"]=> string(19) "2026-08-26 03:39:30" ["post_content"]=> string(3210) "

Would you trust a brand more if an AI model recommended it? For many, the answer is yes – and it’s changing the very nature of PR & Comms.

Our latest report digs into the changing nature of trust, as audiences turn to AI models for quick answers instead of going to organisations or media outlets directly, with AI fast becoming the final stop in the comms cycle. 

This report unpacks:

  • Why trust has shifted, and where audiences are having these conversations
  • Why AI has become the last stop in the comms cycle
  • Methods for staying on top of your brand trust and reputation

To access the full report, fill in the form below:

Discover our Lumina AI suite here.


" ["post_title"]=> string(63) "How AI is destabilising trust and reputation amongst audiences?" ["post_excerpt"]=> string(144) "Learn how LLMs reshape brand perception and actionable steps organisations can take to maintain trust and reputation in the new information era." ["post_status"]=> string(7) "publish" ["comment_status"]=> string(4) "open" ["ping_status"]=> string(4) "open" ["post_password"]=> string(0) "" ["post_name"]=> string(62) "how-ai-is-destabilising-trust-and-reputation-amongst-audiences" ["to_ping"]=> string(0) "" ["pinged"]=> string(0) "" ["post_modified"]=> string(19) "2026-08-26 03:46:01" ["post_modified_gmt"]=> string(19) "2026-08-26 03:46:01" ["post_content_filtered"]=> string(0) "" ["post_parent"]=> int(0) ["guid"]=> string(32) "https://www.isentia.com/?p=49595" ["menu_order"]=> int(0) ["post_type"]=> string(4) "post" ["post_mime_type"]=> string(0) "" ["comment_count"]=> string(1) "0" ["filter"]=> string(3) "raw" }
Blog
How AI is destabilising trust and reputation amongst audiences?

Learn how LLMs reshape brand perception and actionable steps organisations can take to maintain trust and reputation in the new information era.

object(WP_Post)#12068 (24) { ["ID"]=> int(49408) ["post_author"]=> string(2) "75" ["post_date"]=> string(19) "2026-08-20 02:44:11" ["post_date_gmt"]=> string(19) "2026-08-20 02:44:11" ["post_content"]=> string(16590) "

If you ask ChatGPT or Gemini about your organisation today, the answer won't come straight from your website. Instead, it uses sources the model already trusts, which are often months or years old. So if your last big mention was a crisis or a controversy from 2023, that's probably still how AI describes you.

This is the tough reality for anyone working in PR and communications today. More people are getting their first—and sometimes only—impression of your organisation from an AI-generated summary, not from search results or the homepage. And these summaries often rely on outdated information.

What does freshness actually mean?

Content freshness refers to how recent the sources are that an AI model uses when it talks about you. It might seem like a minor technical point, but it's actually very important.

Search engines have always valued fresh content, and they let you update information quickly. If you change a page, Google recrawls it, and rankings can shift in days. Large language models don't work like this. As Lisa Main, Director at Main Bureau, said on Isentia's "AI as a Stakeholder" panel,  "large language models are not databases of verified facts." These models are trained on a snapshot of the internet, updated only from time to time, and they rely on sources that were already prominent when they were trained. This means a past crisis or a controversy that is already resolved can keep showing up in AI answers long after it's no longer relevant.

She shared the example of how a day and a half after a notorious terror attack, she asked ChatGPT if the area had ever experienced a tragedy of that type. It replied that it had not." The model wasn't being careless, but it just hadn't updated to include the latest news. This gap between what reality is and what AI still believes is true sums up the content freshness problem.

Dr Nici Sweaney, founder of AI Her Way, explained on the same panel why this gap matters. She calls AI "an accidental narrator" — it shapes what people believe about your organisation just by repeating the latest information it received. The system simply uses what's available and is not trying to be harmful, so it's important to make sure that information is up to date.

How does this change the way organisations show up?

For PR and communications teams, this changes what "reputation management" means. Put simply, messaging that an LLM cites will remain relevant, no matter when it dates from. Messaging that has not been factored into the LLM’s answers, meanwhile, will have no discernible impact on an increasingly vital - even central - channel, regardless of how many other metrics it might win out on. 

This leads to two important things to consider:

  • First, the conditions that surround recent earned media, statements, and announcements determine whether an AI model updates its picture of the brand, or keeps running on an outdated one. Catherine Arrow of the PR Knowledge Hub made a related point on the "Inside the AI Shift" webinar: LLMs and the agents built on them are "often forbidden from going behind paywalls, from scraping particular sites," which she said creates a kind of "news vacuum." The same logic applies to the brand’s own newsroom or press page. If it isn't feeding the model something current, the model has nothing current to draw from.
  • Second, owned content—like blog posts, media releases, and website pages — are strategically important because they’re something the organisation in question can control , but only if they are updated. If a page hasn't changed in eighteen months, it's much more likely to disappear from AI results, making any reputation built on it unstable. If something is published once and not updated, the brand risks letting older, less positive stories take its place.

For public sector and government communicators, the stakes are more immediate again. When a government agency's guidance changes, whether that's eligibility criteria, compliance requirements, or a service update, and the fresh version doesn't make it into what AI models are citing, people will still get fed old information, with potentially devastating real-world implications. 

The evidence is already there

This is not just in theory. It's playing out in global research and in the day-to-day data right now.

  • AI is quietly replacing the front door to your content

The Reuters Institute's Digital News Report Australia 2026 confirms that many PR teams have noticed that Google organic search traffic to news sites dropped by a third worldwide between November 2024 and November 2025, and by 38% in the US, as AI Overviews and AI Mode launched. Publishers expect this traffic to nearly halve again in the next three years. Some now call this trend a move towards "Google Zero." For communications teams, this means people are increasingly less likely to  click through to your website to check if information is current. More often, they're trusting what the AI says: hence why it’s so important to monitor content freshness.

  • AI models are now web-enabled and they might not actually guarantee source accuracy

One challenge is that most major chatbots are now web-enabled. For example, ChatGPT can browse the internet, Gemini uses Google Search, and Perplexity has its own live index. This makes it easy to assume that AI always knows the latest information. However, this does not mean that they are always accurate when it comes to citations. A study from Columbia's Tow Center for Digital Journalism tested eight AI search tools with 1,600 queries. They found that these tools failed to correctly identify or cite the source article more than 60% of the time. Some tools were wrong on most tests and rarely showed any uncertainty. New information has not had time to be checked or confirmed like older stories have. This is the real risk of relying on the newest updates — a story that is fast moving and poorly sourced about your organisation might end up in an AI answer before it’s even verified or fact-checked. 

  • People are turning to AI chatbots specifically for what's new

The same report found that 35% of people who use AI chatbots for news do so to get the latest media updates. Dr Sora Park from the University of Canberra's News and Media Research Centre explained on the "Digital News Report Australia 2026" webinar that the main reason people use AI chatbots for news is that "AI collates stories from different news sources into a single response." People expect these tools to provide current information. If your organisation's newest content isn't included (and you have something current or novel to communicate) you miss the chance to reach audiences when they're most interested.

  • Fresh content doesn’t always equate to ‘new’ content

A notable example  of creating freshness that LLMs reward and prioritise comes from updating existing pages, rather from creating brand-new content. Republishing and refreshing current material is more effective than many communications teams realise, as long as one actually updates the content, not just the date.

  • Evergreen pages are the first casualties when AI overviews roll in

The DNR Australia 2026 report also notes that once someone is inside an AI chatbot conversation, they rarely leave it to check the source — only 4% of AI chatbot users say they always or often click through to the original article, compared with 19% for search and 17% for social media. The pages that used to earn traffic just by sitting there, permanent and useful, are now the ones most likely to lose visibility, because AI models favour what's recent over what's merely correct.

  • One fresh statement doesn't automatically undo a stale narrative

If an executive online, especially one who has a lot of weight to what they post online, says something controversial and it quickly spreads across media articles, social media and search — it will definitely be picked up by AI as well. There is a golden window of opportunity that they need to capitalise on to clarify what they said. If they don’t, the negative story that was already built into the data AI models use, will not be affected much by the executive’s clarification statement, which wasn’t that timely anyway. As Catherine Arrow of the PR Knowledge Hub said on the "Inside the AI Shift" webinar: "public relations and media relations are not the same thing," and relying on a single release misses the point. The real lesson is not to publish faster after a crisis, but to build a strong, up-to-date presence before you need it. In our latest report, “How can leaders communicate in an age of scrutiny”, we’ve outlined exactly how comms leaders can communicate by adapting their content to audiences exposed to the “AI way” of news dissemination. 

What PR & Comms teams should actually do?

The challenge is that organisations can't make an AI model update its answers whenever they want. What they can do is track whether recent work is actually being noticed, which is what  Lumina AI View can help with.

Lumina AI View monitors which sources AI models use when talking about your organisation, how strong and recent those sources are, and how you compare to competitors. Freshness is one of five key factors in the overall score. If your freshness score drops, it's an early warning that your latest campaign or announcement hasn't reached the AI ecosystem yet, and older stories are still dominating.

What’s important to note is that the tool provides a list of source citations, paired with reputation pillars like direction, integrity, performance and innovation — giving a comms professional a fully-rounded understanding of what they need to do. It’s not just the case of knowing source citations, but also of understanding your own AI perception and performance to make informed decisions — whether that’s for a brand,a government agency, a NFP or elsewhere.

This kind of tracking is even more important because it shifts by industry and by market, so "AI visibility" doesn't mean the same monitoring job for every organisation. AI answers for healthcare might draw from the smallest, highest-trust pool of sources (mostly clinical and government), but SaaS and fintech answers lean heavily on editorial reviews and comparison sites.  Ngaire Crawford made a similar point regionally on the "AI as a Stakeholder" panel. For the APAC region specifically, she pushed back on the assumption that editorial media dominates AI citations — "there are a lot of really massive claims about the impact of editorial media... some as high as 85, 88%. That's not what we're seeing." Instead, she found "a fairly even split between (editorial media) and company content," alongside a real presence for review sites, forums, and academic sources. For a comms team, that means the freshness strategy that works for a media-heavy consumer brand might not work for a government agency whose AI visibility is really riding on review sites, .gov pages, or industry forums instead.

By tracking regularly — weekly or as a routine check— you turn the vague concern of "what is AI saying about us" into something that is super clear. You can see if recent coverage changed your list of citations, or if your owned content is still being found, or where there are gaps that need to be filled because old stories still exist and are causing problems.

The opportunity in staying current

There's a real advantage here too. If old content keeps you tied to an outdated story, fresh content is a direct way for PR and communications teams to influence how AI presents them. Publishing regularly, keeping your own pages updated, and getting recent, credible coverage is not just for human audiences. It's how PR professionals can make sure the systems shaping first impressions have the right information.

Teams that make it an ongoing habit of checking in regularly, watching for changes, and keeping fresh, credible content flowing, will have more control over how AI describes their organisation.


If you would like to know more about our Lumina suite, please reach out here and our team will get in touch with for you a quick demo.

" ["post_title"]=> string(60) "Why is content freshness the new currency for AI visibility?" ["post_excerpt"]=> string(172) "AI summaries are replacing websites as your organisation's first impression. Here’s why content freshness—and the sources feeding these models—matters more than ever." ["post_status"]=> string(7) "publish" ["comment_status"]=> string(4) "open" ["ping_status"]=> string(4) "open" ["post_password"]=> string(0) "" ["post_name"]=> string(59) "why-is-content-freshness-the-new-currency-for-ai-visibility" ["to_ping"]=> string(0) "" ["pinged"]=> string(0) "" ["post_modified"]=> string(19) "2026-08-20 02:44:18" ["post_modified_gmt"]=> string(19) "2026-08-20 02:44:18" ["post_content_filtered"]=> string(0) "" ["post_parent"]=> int(0) ["guid"]=> string(32) "https://www.isentia.com/?p=49408" ["menu_order"]=> int(0) ["post_type"]=> string(4) "post" ["post_mime_type"]=> string(0) "" ["comment_count"]=> string(1) "0" ["filter"]=> string(3) "raw" }
Blog
Why is content freshness the new currency for AI visibility?

AI summaries are replacing websites as your organisation’s first impression. Here’s why content freshness—and the sources feeding these models—matters more than ever.

Ready to get started?

Get in touch or request a demo.