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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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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The advent of LLMs and AI search means that there has been a colossal shift in how audiences are consuming information today,  and a reciprocal shift in how all types of organisations, from government agencies to brands are responding . But while discussion amongst PR and comms pros tends to fall disproportionately on how brands are impacted, the needs of the former are just as keenly felt, and often quite distinctive.

So how can government agencies respond, especially in a time of global flux, when major policy changes need to be communicated and important stakeholders need to be managed? After all, government organisations do care about reputation, much as brands do, but have quite distinctive goals when it comes to ensuring accurate information reaches the right audiences.

There is a new entry point for stakeholders


The era of "Let me Google that" is rapidly fading. Instead of clicking through to official websites, people are asking chatbots for direct answers.  What’s striking is that government agencies often have no visibility on how they’re being talked about in the LLM space, even as it becomes a central channel for messaging and reputation. 

When AI models become the primary gatekeeper, audiences bypass official portals entirely — driving down site traffic and leaving agencies vulnerable to misinformation, negative sentiment, or worse, being left out of the conversation altogether. 

Therefore, the entry point is different. For commercial brands, this shift is profound but in some ways mediated – an FMCG brand, for instance, often discovered through third-party platforms in any case. But for government entities, the stakes are entirely different. As the sole, authoritative source for public information, they need citizens on their websites to get accurate details. Government agencies, especially if they are the authority or regulator in a particular industry or sector, need to make sure audiences know where to go to get the right information.

Different types of government agencies have different considerations

Not all government agencies are alike, and they all have different parameters that are quite non-negotiable for them, just by the way they function. 

  1. Service delivery agencies - these rely heavily on content freshness. They can’t risk outdated sources impacting eligibility or process changes not reaching audiences.
  2. Regulators - these need to transmit authority and trust. Regulators have to make it a priority that they’re amongst the first place audiences go to for information and that the industry they’re regulating does not put them in the shade on the channels stakeholders are actually using
  3. Policy departments - did the AI's account of a policy match what was actually announced? They want to be able to make sure the accuracy of a policy (and ideally, its effectiveness) is translated when audiences search through LLMs.
  4. Local and state authorities want to make sure the services they carry out on behalf of locals are visible too. Much like service providers, there is a question around access and awareness of programmes and regulations, but also an added consideration: not appearing on LLMs discontent amongst those wishing to see a return on taxation and electoral mandates, and give credence to bad actors.

What do government agencies want to get out of this new LLM-mediated landscape? 

Reputation is important, but that exists downstream from maintaining a flow of accurate information. It’s useful for communications teams in government organisations to self reflect and ask themselves the following questions:

  • Where are citizens going to find information about your services if not your website — and do you know what they're being told?
  • If there was a significant policy change or incident in the last twelve months, do you know how it's currently being characterised when someone asks an Al tool about your agency?
  • When you communicate a major service change or policy update, do you have any way of measuring whether it’s surfacing in searches about you?
  • How do you currently understand the gap between what your agency publishes and what citizens actually receive when they search for information?
  • Are there community groups, advocacy organisations, or media outlets shaping perception of your agency - and do you know if that's feeding into what Al models say?

These are gaps they already realise, but they don’t actually know what to do about it – how to manage or measure them. They need a tool that allows them to know this critical piece of information and make informed decisions. 

Lumina AI View: AI visibility for PR & Comms


Lumina AI view is built for communicators who want to understand how their organisation and their competitors are being talked about by various AI models – including ChatGPT, Gemini, and Claude. AI View users get an insight into which sources are being cited, and how they would need to respond as a way of protecting their reputation or making sure correct information about them is being disseminated. 

The tool provides an AI view score — a composite metric ranging from zero to 100, designed to help track brand performance over time and facilitate comparisons against competitors. It is calculated using five weighted factors — sentiment, visibility, authority, dominance and freshness. Beyond the overall score, the platform provides a summary of a brand's AI narrative based on four distinct reputation pillars — direction, performance, integrity and innovation. 

These pillars help users identify exactly which dimension of a brand's reputation is under pressure, offering specific, actionable insights for board presentations or reviews. Ultimately, while the AI view platform provides the necessary intelligence, the strategic decisions regarding how to respond to these insights remain with the organisation.

Spotlight: An Australian Council


This progressive local government council is located in Australia’s leading center for culture and sports.

The council earned an AI view score of 74 reflected by strong reach and authority. Publications like CBD News and its own website are the most cited by LLMs — interestingly, most of them being cited by Claude.

Content freshness scored lower at 48. Their website still carries error pages and annual reports from a few years ago. If a report — one that is seen as an organisation’s most comprehensive and authoritative content, is still being cited even if it’s older, might potentially be in the way of the organisation’s own perception. Which means more work is needed to prevent outdated content from still appearing.

What type of content is showing up?

Most citations for the council originate from government sources, followed by news outlets, reports, and blogs. The domain is evenly split between owned content and content earned from external sources media articles and independent authorities. 

While most are recent, some older articles from major outlets such as The BBC remain visible and may significantly influence how LLMs perceive the council. Owned content typically addresses last year’s budget plans and the council’s latest vision for the city, which LLMs are referencing. Government sources are the major content type, however, external sources have a greater impact on the council’s overall LLM score.

The stakes are higher for government agencies

When brands track LLM visibility, they often ask, "Are we shown in a positive light?" or "Are we cited accurately?" For the government, additional questions arise: "Is this information accurate enough for someone to act on?" and "Are we still viewed as more authoritative than what we oversee?" Mistakes can have serious consequences, such as individuals applying for ineligible programs or missing critical deadlines for new initiatives or elections. This can quickly lead to public frustration. It is essential for government communicators to recognize these risks.


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.

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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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Blog
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.