Blog post
March 23, 2021

How social media conversation influences the market

An analysis of the finance industry post-GameStop

There’s no doubt the GameStop saga caused quite a stir within the finance industry and beyond. From a communications perspective, I’d like to reflect on the reputation of the finance industry and what’s changed as a result of the incident. I’d also like to explore the sentiment towards different financial institutions.

It’s important to delineate between investment banks, hedge funds (including HFTs and other obscure finance organisations) and commercial banks. For all the flak that commercial banks get, on the whole, individual banks are pretty good at communicating with consumers, maintaining their reputation and avoiding healthy skepticism turning into outright criticism. 

The sentiment around GameStop

Both professionally and personally I am compelled to regularly read the comments under breaking news articles shared on social media, and no matter what the cause or issues, I cannot recall a single story’s response being so absolutely one-sided.

When Isentia did an analysis of social media conversation relating to the GameStop saga, it found 88% of comments expressed an opinion about the topic supported the insurgent Wall Street Bets group. Approximately 50% of comments expressed a clear statement that hedge funds were losing at their own game and deserved no sympathy. The positively gleeful schadenfreude at the losses sustained by the hedge funds unified groups that in any other contexts would be building strawmen to attack each other in a never-ending battle of replies. Commenters in support of Wall St Bets floated conspiracy theories of the Democratic Party’s and Joe Biden’s personal involvement, while others called for the beginning of a socialist revolution. Robinhood closing positions and restricting trading in GME united such disparate voices as Alexandria Ocasio-Cortez, Ted Cruz and Donald Trump Jr., a potential dinner party for the ages that was cut short by AOC reminding Cruz of his role in the January 6th Capitol storming.

This reaction shouldn’t be surprising to anyone. Recent real-life examples, like the GFC have built up doubt in financial institutions like hedge funds and investment banks, and cultural representations of these organisations tend to be negative.

Opinions of Wall Street

Looking at Hollywood films about investment bankers and hedge funds, we see a list of negative depictions; The Big Short, Wall Street: Greed is Good, Wolf of Wall Street, Margin Call and American Psycho. Indeed, it’s hard to find a positive depiction of Wall Street and high finance with the possible exception of the Pursuit of Happyness. 

Opinions of ‘Wall Street’ in the 2017 US YouGov survey, found that 77% of people believed that “most people on Wall Street would be willing to harm consumers if they believed they could make a lot of money and get away with it”, 72% believed Wall St financiers were more greedy and selfish than regular people. By contrast, in 2018, only 66% of 18-24 year olds and 76% of 25-34 year olds said they have always believed the earth was round. Put another way, you would possibly have more success on social media, arguing for a theory of a flat earth, than you would for the idea that there are ethics on Wall Street. 

But none of this is new, those surveys are years old, people still talk about the open wounds of the GFC in 2008 and American Psycho was released in 2000. It may have ebbed and flowed at times, but movements like Occupy Wall Street didn’t feel like a response a single moment, but looked to address long-standing grievances. People have long been cynical about hedge funds and investment banks, and it doesn’t appear much has been done by the industry to improve the situation. Thought pieces on public relations and branding express exasperation with the financial services sector, generally acknowledging early in the text; ‘we know you don’t like it but here’s why you need it’, much like a dentist explaining flossing. 

And who could blame hedge funds and investment banks for being ignorant in the modern world of communications? They are non-consumer facing businesses. They don’t have issues like other non-consumer-facing businesses (mining companies) that regularly seek community and environmental project approvals and face a highly organised and powerful climate change movement. They also don’t have an easy story to tell. The mining sector’s blue-collar jobs and regional economies have a more convincing message than providing liquidity to financial markets and diversifying risk.

The power of social media conversation

So if the reputation hasn’t changed why would we suddenly talk about it from a communications perspective? Because the consequences have changed. The power of social media conversation and accessible trading platforms has meant that suddenly the poor reputation of these firms not only makes them a target for activist financial consequences, but also an entirely unsympathetic one (again, 88% of commenters on social media supported the actions of Wall Street Bets, and celebrated hedge fund losses). The question of regulating future market distortions such as GameStop is made politically complicated by this sentiment.

The other thing that’s changed; the messaging is clearer. People often distrusted Wall Street, but the usual attacks of income inequality and regulation tend to be murky and complicated. The frequent usage of the word democratisation is probably the most interesting development in the entire GameStop saga from a communication perspective.

What about regulation?

Anyone who has studied or read about behavioural economics and knows about experiments in the Dictator Game will readily understand there is an innate drive towards fairness in our dealings with others, and perceptions of unfairness encourage us to punish the perpetrators, even if it’s to our own detriment. Thus, generating a clear narrative of unfairness is a powerful tool to generate support for a cause. The traditional attacks of income inequality are often the flagship of anti-Wall Street or anti-finance messaging and are often blurred enough to create a reasonable level of debate. Even if everyone agrees that regulation isn’t working, surveys in the US show deep divides between whether people believe the problem is about not enough regulation, not adequate enforcement of existing regulation, or if it’s the wrong type of regulation. This disagreement makes it difficult to build a clear policy of reform.

Democratisation, however, feels like it is a more powerful and clearer message. Propelled into the limelight most clearly by the actions of Robinhood, it asks a question of fairness that is far harder to obscure or dispute. We can argue whether or not the game is rigged, but no one can deny it’s unfair if you’re not allowed to play.

What’s next for investment banks and hedge funds?

As a communications professional I am interested in the development of the narrative of democratisation and accessibility, and how those who support regulation in the post-GameStop era find ways to attack this sentiment. I am also interested to see how investment banks and hedge funds respond. They’re clearly starting with a difficult story to tell. While none of this has been a problem before, they now need to find a way to communicate with the wider public, particularly young people. They also need to shift a narrative that has existed for decades if not longer. In this partisan era one might avoid consequences from the antipathy of either progressives or conservatives, but the concentrated and focused antipathy of both, united by a simple and powerful message, is something to be concerned about.

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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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Why PR and comms teams need to take LLM visibility seriously — and what to do about it

The next time a journalist, investor or potential customer wants to know about your organisation, it’s now increasingly likely they won’t Google you. They'll ask an AI.

They'll type a question into ChatGPT, Claude or Gemini, something like "Who are the leading renewable energy companies in Australia?" or "What's the best PR agency for healthcare in Singapore?" and the AI will give them an answer. The question is whether your own organisation shows up in that answer.

The implications are significant for communications professionals, whether they’re in the agency-side working with clients or in-house managing a brand. The rules of reputation and discovery are being rewritten, and there’s a new kind of playbook that we all need to adapt to. That’s what’s going to take us forward.

The shift no one saw coming, but perhaps should have

For decades, earned media has been the backbone of credibility. A strong piece in a respected outlet signalled trust, authority and relevance. This hasn't particularly changed, but the way that coverage gets used has.

Large language models (LLMs) are trained on vast amounts of publicly available content - news articles, company websites, industry reports, social media, expert commentary. When someone asks an AI a question, it synthesises all of that material into a single answer. If an organisation has a strong, consistent, well-sourced presence across those channels, it is more likely to show up. If it doesn't, it becomes invisible and is absent from the conversation entirely.

Gartner's latest predictions for Chief Communications Officers underline how serious this shift is. They forecast that as LLMs increasingly replace traditional search, PR and earned media budgets will double by 2027. What they say is that this is a communications challenge, one that requires PR expertise to build trust, secure quality coverage, and maintain consistent messaging across stakeholders.

Their research also predicts that by 2029, 45% of CCOs will be using narrative intelligence technologies to monitor reputation amid rising disinformation, a recognition that the old keyword-based approach to media monitoring simply can't keep up with the way stories now form, spread and multiply. 

The AI-generated content loop and why it matters

One of the less obvious risks in this new landscape is what happens when AI starts feeding on itself.

Catherine Arrow, Executive Director of the PR Knowledge Hub, raised this point during Isentia's recent Inside the AI Shift webinar. As she explained, "AI can identify and interpret some publicly available commentary. The difficulty is that we have to be careful about what it is actually reading. You can already see this in AI overviews where the system may refer to online discussion without digging deeply enough into whether the original sources are genuine, reliable or themselves AI-generated. So we end up with AI nested inside AI, nested inside AI."

That creates a real problem for anyone in communications. If the content landscape is increasingly populated by AI-generated material which is optimised to be found by algorithms rather than to inform real people, then the signals that LLMs rely on to build their answers become less trustworthy. Human judgement, original thinking and genuine expertise become harder for these systems to find, precisely because they're being drowned out by content that was designed to game them.

Catherine puts it simply, "People can become immune to this kind of content because it does not sound like the way we speak to each other, nor does it reflect the way genuine relationships are built. Then, when conflict or outrage is layered on top, the environment becomes even harder to interpret."

For PR and comms teams, it's not enough to produce more content. The right content needs to be produced, one that is original, expert-led, and well-placed in the channels and formats that LLMs are most likely to surface.

What this means in practice

So what does it actually look like to build LLM visibility into your communications strategy? It starts with the fundamentals, but applied with new intent:

  • Expert commentary placed in credible publications. 
  • Thought leadership that's genuinely distinctive, not a rehash of what everyone else is saying. 
  • Consistent messaging across channels. 
  • Media coverage that's authoritative enough for an AI system to treat it as a reliable source.

This is where the gap between media monitoring and media intelligence becomes critical. Monitoring tells you what's been said. Intelligence tells you how stories are forming, which perspectives are shaping them, and where your organisation sits within those narratives — including how AI systems are representing you.

Dr Nici Sweaney, Founder and Director of AI Her Way, made this distinction sharply during Isentia's AI as a New Stakeholder webinar. "What will set people apart, and what AI cannot replicate is the human lens. The judgment, the relationships, the institutional knowledge, the strategic read of a room. The organisations that lean into supporting their people to harness these tools, rather than just deploying the tools, will be the ones best placed.”

That's an important framing. The answer to AI disruption is to get clear on what only humans can do and then make sure the tools we’re using actually support that.

Staying credible when the noise is deafening

There's a temptation, when faced with a challenge like this, to throw more content at the problem – more posts, more articles, more releases. But Catherine Arrow points out the risks of that approach.

"Maintaining credibility and authenticity means being yourself and not allowing AI to suffocate your identity. That will become harder to do as digital twins, synthetic voices and other tools make it easier for organisations to use it as a mask. The real challenge is not so much maintaining credibility. It is about maintaining humanity, empathy, kindness and a genuine wish to connect with others beyond the AI-intermediated space.”

That advice matters just as much for organisations as it does for individuals. Brands that let AI do their thinking, generating bland, interchangeable content at scale, will find themselves blending into the noise rather than cutting through it. The brands that show up in LLM answers will be the ones with a clear, consistent, well-evidenced point of view.

Dr Nici Sweaney reinforced this from the operational side. "Ethical use is not about not using AI. It’s about using it with intention, honesty, and a clear sense of what good looks like on the other side.”
She was also direct about the risks of rushing in, "Don’t add new shiny AI projects on top of already overloaded teams. That creates resentment, not buy-in. Start by solving the problems people already have."

The cultural dimension

There's another layer to this that often gets overlooked and that’s the cultural one.

Catherine Arrow raised important concerns about how different AI systems can distort or flatten cultural context. Many of the most widely used models are shaped by US language, commercial assumptions and social norms. Chinese models operate within a different political and cultural framework. For organisations working across the Asia-Pacific region, it directly affects how the brand, messaging and the market are understood and represented by AI.

"Different AI systems may distort cultural context by privileging dominant languages, simplifying complex meanings, mistranslating concepts, omitting local histories or reproducing the worldview of their developers and training environments. They may flatten culture by making everything sound the same.”

For communicators operating across diverse markets, this means paying close attention to where content sits, who produced it, and whether the AI systems the audiences are using can actually interpret it with the nuance it deserves.

Where Isentia's platform fits with its new toolkit for AI visibility

This is precisely the challenge that Isentia's Lumina suite was built to address. Lumina is an intelligent suite of AI tools trained on the language, workflows and realities of modern public relations and communications, designed to empower, not replace, the human element of communications strategy.

Isentia's Lumina AI View feature will allow organisations to track how their brand, competitors and key topics are described by leading LLMs, with auditable claims, citations and transparency with regards to the sources. It's the difference between wondering whether AI is getting your story right and actually being able to see for yourself. These aren't generic AI features bolted onto a monitoring tool. They're intelligence systems built for the way communicators actually work.

The bottom line

The communications landscape has shifted. AI isn't just a tool the team might use, it's a stakeholder in its own right, actively shaping how an organisation is discovered, understood and evaluated.

For PR and comms professionals, the priorities are to ensure experts, commentary and evidence are placed widely enough for LLMs to find them and include them in their answers. Intelligence is imperative and required to how narratives are forming across both traditional media and AI platforms. All of this needs to be done without losing the human credibility that makes communications worth paying attention to in the first place.

As Dr Nici Sweaney put it, "The people who get the most from AI aren’t the ones who use the most tools, they’re the ones who understand their work deeply enough to know exactly where AI can add the most leverage."

That's the opportunity. The question is whether we’re set up to take it.


To explore how Isentia's Lumina suite can help your team navigate AI visibility, get in touch or discover Lumina.

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Blog
If AI can’t find you, neither can your stakeholders

We explore why LLM visibility should be a priority for PR and comms teams — and why harnessing AI, not just deploying it, is what matters.

Ready to get started?

Get in touch or request a demo.