Blog post
December 9, 2020

The regional comprehensive economic partnership through the eyes of AI

The media coverage of the regional comprehensive economic partnership (RCEP), a monumental deal among 15 Asia Pacific countries, has been interesting.

As media analysts, we looked into more than 800 articles and videos from the prominent news outlets across the 15 countries that signed the deal within the time period of 8 November to 20 November 2020.

Natural language processing uncovering the power dynamics in the region

We employed state of the art AI models specialising in natural language processing (NLP), and contextualised them with our strategic viewpoint.

Sharing more about the AI analysis, Joseff Ymanuel Tan, Jr, data scientist at Isentia, noted: “NLP models work well for key information retrieval, specifically identifying proper nouns (entities). The entities are classified into several categories by the AI/NLP model.”

The first category we were interested in was the most frequently mentioned location names (country names, city names, etc). The image below provides a glimpse of the NLP model identifying the entities from an excerpt of an article.
The word cloud here shows the countries identified by the AI/NLP model. The bigger the country name is, the more number of articles covered it. The US (appeared in 843 articles) & China (749 articles) were the top countries mentioned.

Sharing insights from the NLP analysis, Arisa Otsuka, Analyst at Isentia, said, “This deal was seen as a significant victory for China as it reduces the impact of the ensuing trade war between the US and China by reducing China’s reliance on US trade [1]. The articles also mentioned the waning influence of the US as many allies rethinking their economic ties with the US [2].”

One of those US allies being Japan (584) which was also the third most mentioned country. Some of the reasons why Japan was mentioned where their plan to sign military ties with Australia [3]; also Japan was covered as the one ensuring the protection of their local farmers by retaining tariffs on essential products like rice, wheat, dairy etc.[4]

Arun Elangovan, Regional Analytics Manager of Isentia Asia said, “At first glance of the country names, the AI is merely confirming the hypothesis that everyone would have regarding this deal, the 15 countries who signed the agreement are covered equally. But when we look at the results of the AI through a different lens, the message changes.”

While the previous word cloud shows how many articles the countries appeared in, the following word cloud demonstrates how many times the countries were mentioned across articles. This word cloud not only captures the essence of how prominently a country is covered but also uncovers subliminal messages or in other words, the unsaid.

The articles more prominently mentioned China (4324 times) than any other country. US (2171 times), Japan (1483) and Australia (1246) were some of the other countries also prominently mentioned. This could seed the idea that some countries are more influential than others, portraying the power dynamics in the region.

The media also extensively covered some countries that were not part of the deal. The first one being India (296 articles), as India was initially part of the RCEP and withdrew towards the end of last year. The coverage on India was mostly about how the countries (esp. Australia, Singapore & Vietnam) [5][6] are hopeful & keeping the door open for India to join the partnership in the future. Japan considers India’s presence necessary to counter China’s economic weight [7]. The other country was Taiwan (66 articles). Taiwan was reportedly underplaying the significance of RCEP by pointing out that 70% of it’s exports to RCEP is already tariff-free; instead, they were hopeful of joining the Trans-pacific Partnership (CPTPP).[8]

Video AI hints towards a hopeful & prosperous future

The subliminal messaging in video coverage are less subtle as compared to articles. This is due to a video having 2 components, the visuals and the audio/speech.

“Most of the news reporting on mainstream media state the facts through the audio/speech and show accompanying visuals. When we analysed the audio/speech, the narratives were very similar to the one we uncovered through the articles,” said Ma. Angelica Tatad, Data Scientist at Isentia.

But while analysing the visuals we found different narratives. Francis De Leon, Jr. Data Scientist at Isentia said the analysis of the video was “done through a state of the art neural network (AI) which can identify the objects shown in a video. Our analysts then group these object labels into relevant categories.”

Apart from the usual suspects with groups of objects detected like people (incl. audience, speaker, journalist etc.) & event-related labels (incl. conference, auditorium etc.).

The above image shows the AI (Google Video AI) identifying various objects shown in a video.

There were some interesting group of objects detected such as Buildings & Cityscape.

The above graph shows the various labels and the number of times they appeared in the videos.
The other group was Transport & Vehicles (as shown in above graph)

These groups of labels seem to indicate that the media is visually portraying this partnership as future-looking and opportunity for progress.

The other group of labels that were informative was the Food group (as shown in above graph)

The media also showed various parts of the food supply chain, touching on one of the top priorities for countries especially in the Southeast Asia region, food security. This deal brings could potentially ease the tariffs on food import and export amongst the countries that are part of the deal.

Analysing the coverage around RCEP through the eyes of the AI revealed that the media while largely emphasising the impact on the on-going power dynamics be it the dynamics between the US & its allies and China, also portrayed this deal as bringing a bright and prosperous future to the countries in the region. It also revealed that there are some subtle/subliminal messages that lie underneath the obvious.

Written by: Arun Elangovan, Regional Manager, Advance Analytics – Insights, Asia

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The Australian public’s reaction to government reforms and leaders was especially eventful. Debates about campus safety by the Royal Commission, a tax deal between Labor and the Greens unsettling the finance and property sectors, and a speech on “monoculture” by Pauline Hanson shifting opinion polls in an unexpected way; were three complex stories that saw audiences taking different sides, leading to many perspectives and angles.

We used Isentia's Lumina to track the different viewpoints, key people, and stories with the largest volume and audience. Over four weeks (22 June to 17 July), we found 62 unique perspectives and nearly 900 media items across these three stories.

Key Stories, Key Drivers

Here’s a quick overview:

The Royal Commission on campus anti-semitism

The Royal Commission on Antisemitism and Social Cohesion’s hearings on university campuses was the biggest story by far. In less than a week, it drew 33 perspectives and 453 media items, reaching over 628k audiences. The story’s size came from the many institutions involved—student groups, representative bodies, and the federal government—each offering their own view on the same testimony.

Pro-Palestinian advocacy groups had the widest reach, making up about a third of all coverage. Spokespeople like Yasmine Johnson from Students for Palestine and Nasser Mashni from the Australia Palestine Advocacy Network told the commission their campus protests are a legitimate justice movement. They also raised concerns that criticism of government policy is being confused with antisemitism, which they say limits open debate.

Jewish student and staff groups also received significant coverage, making up about a fifth of the total. The Australian Union of Jewish Students described campuses where some students feel hesitant to attend and highlighted gaps in how universities handle complaints and support those affected. Most of this coverage came from wire services and was widely shared across news outlets like The Australian or the Midwest Times.

The federal government provided a third perspective, with similar coverage. Education Minister Jason Clare said universities had been slow to act and announced plans to tighten governance standards. This includes clearer anti-racism policies covering both antisemitism and Islamophobia. Reports also noted that TEQSA, the regulator, warned universities about outside groups joining campus protests, and the government’s antisemitism envoy suggested universities could face funding cuts if they do not do enough.

The Labor-Greens Tax Deal

The second-biggest story was more focused but still managed to stir strong reactions. Labor’s deal with the Greens to close a borrowing loophole for self-managed super funds, in return for Greens support on capital gains tax and negative gearing changes, led to 22 perspectives and 232 media items, reaching nearly 177k audiences.

The government, supported by the Greens, presented the deal simply — it closed a loophole that allowed wealthy investors to use their super funds to compete with first-home buyers at auctions. Treasurer Jim Chalmers cited a 2014 recommendation to support the change, and Greens treasury spokesman Nick McKim called it a win against "wealthy property investors."

The Greens, however, took a tougher stance and received similar coverage for saying the deal was only a partial win. They argued that allowing existing arrangements to continue would let Labour protect wealthy investors rather than renters, and said the housing crisis would now be "squarely of Labor's design." This shows that support from a governing partner does not always mean they are satisfied, as Country News highlighted.

Finance and business groups pushed back with nearly as much coverage. The Self-Managed Super Fund Association and the Australian Finance Industry Association said the borrowing rules did not pose a systemic risk and argued that regulators should focus on "aggressive marketing" and property spruiking, not legitimate investors. The Australian Chamber of Commerce and Industry warned that the wider capital gains tax changes could hurt business investment. ABC News gave the most detailed account of this perspective, noting the sector was "surprised" by how the deal was made.

Pauline Hanson’s monoculture speech

This story had the fewest perspectives (just seven) but still reached nearly 236k people through 210 media items. That’s a bigger audience than the tax story, which had three times as many viewpoints.

The story began when Pauline Hanson used a National Press Club speech to argue that Australia should replace multiculturalism with a single "monoculture." She cited Paul Hogan and the Socceroos as examples. The backlash was quick and unexpected and Hogan himself called her a "pelican" and said her views were racist. His response ended up shaping the story more than her monoculture speech.

What makes this story notable is what happened afterward. Two polls, Newspoll and Redbridge, showed One Nation’s primary vote dropping by about two points (Dairy News Australia) and Hanson’s personal approval falling ten points into negative territory. Labor regained a narrow lead and Labor minister Murray Watt quickly described the numbers as a "reality check,". This framing spread almost as widely as the original speech, as the Bendigo Advertiser reported.

The speech and the poll results are really one story seen from three sides — Hanson’s message, her critics’ reactions, and Labor’s use of the polling. Each angle received similar coverage, showing that the speech missed its mark and gave the government a useful talking point.

How does this inform PR & Comms Strategy?

First, the number of perspectives in a story is important. A story with many viewpoints, like the antisemitism hearings, needs a different monitoring approach than one with just a few, because the loudest voices might not always be the most important.

Second, pay attention when several perspectives are about the same size, as in the tax deal. If no single viewpoint stands out, the issue is likely still being debated. It’s a good idea to check back after some time instead of treating the first coverage as the final answer.

Third, compare any polarising message to the Hanson example before recommending it to a client. The numbers show that a divisive message can get attention but still turn public opinion against the speaker.

Conclusion

What links these stories is how much is lost when they are reduced to just two sides. The antisemitism hearings, the tax deal, and Hanson’s polling drop were all more complex than their main headlines suggested.

That’s why it’s valuable to track a story by its different perspectives and key drivers. See what Lumina can reveal for your industry or clients, and check out more analysis like this on the Isentia blog


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Who really shaped Australia’s latest social cohesion debates?

See how Isentia’s Lumina tracked 62 perspectives across 3 major Australian stories, revealing how media coverage really spreads and who ends up controlling the narrative.

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Audiences have quietly moved from giving leaders — CEOs and operational leaders — the benefit of the doubt to actively scrutinising them. Smarter communication leaders have realised that content with proof and evidence, over anything performative, is much more valued by audiences.  

Our latest report analyses how top communications leaders are discussed by audiences online and reveals what actually earns trust and reputation in an age of scrutiny.

In the report, we unpack how:

  • Comms leaders' online presence is affected because of increased audience scrutiny
  • Operational leaders out-communicate CEOs and audiences read them as more authentic
  • Proof, people, and place are prioritised in comms leaders' posts — that in turn deepens trust the most
  • Isentia’s AI-built suite of tools can help uncover the right story for the comms leader of today

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

Discover our Lumina AI suite here.


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Blog
How can leaders communicate in an age of scrutiny?

This report analyses how comms leaders are constantly adapting their content online as a result of increased audience scrutiny – in order to earn trust and maintain reputation.

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There is a new frontier where public perception is shaped: Large Language Models. Right now, LLMs are answering critical questions about your organisation. What are they saying? And more importantly, which sources are shaping those answers?

To navigate this landscape, public relations professionals don't need generic tools, but rather technology that speaks their language, and addresses the realities of a changed media and informational landscape.

That is why we're unveiling Lumina AI View, the latest addition to our intelligent suite of AI tools from Isentia. Trained specifically on the workflows and challenges of modern PR & communications, Lumina AI View helps you understand exactly what AI knows about you, and how it learned it.

A new standard for AI visibility

AI View tracks your citation strength and source quality alongside those of your competitors, giving you a clear view of where you hold authority and where you have gaps.

Lumina AI View maps your AI reputation from the ground up, allowing you to:

  • See which sources matter: When tools such as ChatGPT or Gemini discuss your organisation, which outlets do they cite? Track your source footprint over time and view the impact of key target media on how you’re discussed. We measure your citation strength and source quality alongside those of competitors, giving you a clear view of where you have authority and where you have gaps.
  • Gain industry-specific insight: Your competitors get cited from Financial Times and Bloomberg. You get cited on Reddit. Each brings opportunity – and risk. Discover how you measure up against industry standards, and target the sources that actually influence how AI represents you.
  • Catch narrative shifts early: AI responses change when new sources appear, sentiment shifts, or old controversies resurface. Get alerts when citation patterns change suddenly, before they impact the way you’re perceived by stakeholders.

Measure your progress: From media monitoring to full media intelligence

Lumina AI View is built on the principle that insights get stronger with repeated measurement. To help you maintain a clear view of your reputation, our proprietary scoring system provides regular updates that show you:

  • Evolving trends in how sources cite your organisation
  • Competitive standing and benchmark metrics
  • Where models differ in information presented, and sources cited 

Whether you run it weekly, on-demand, or whenever you need a check-in, patterns will emerge, trends will become clear, and you will build a baseline that makes any sudden narrative changes both comprehensible and the prerequisite to action.

Lumina AI View is part of Lumina AI, a comprehensive suite of AI tools built specifically for communicators. Our Lumina suite evolves traditional media monitoring into narrative intelligence, enabling you to truly understand how perceptions form, evolve, and impact your reputation.


Get in touch to register your interest and see what Lumina AI View can do for you.

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Introducing Lumina AI View: AI Visibility Built for PR & Comms

Lumina AI View, the latest in Isentia’s AI suite, is trained on PR & comms workflows to help you understand what AI knows about you — and how it learned it.

Ready to get started?

Get in touch or request a demo.