The macroeconomic environment is moving quickly—inflationary pressures, war in Europe, political instability, and plenty of other topics to make a trader's head spin. While there’s an abundance of structured macro data, it's much more difficult to extract value from unstructured text on the web.

However, with the right partner and the right tools, it doesn't need to be difficult to rein in this complexity. But more on that later.

More data, more problems

We're obviously in the information age; we have more data within reach than ever before. And you'd think that more data would make it easier to find consistent relationships between the macro economy and price returns. The hard truth is that it doesn't.

Of course, you have access to comprehensive historical information, but developing economically intuitive and worthwhile systematic strategies from historical data alone is challenging. Despite having this data, it could still be incomplete, missing that bit of nuance for a theme you're examining.

Nowcasting for more complete, current data

Nowcasting—a contraction of the words now and forecasting—is the prediction of the present and the near future using data from the recent past as an economic indicator. Nowcasting models can be applied in real time as a proxy for official measures, such as monitoring the state of the economy, themes, or sectors: food, transportation, energy, and so on.

For example, you could look into what's being said about supply chain disruption for semiconductors. How is the topic trending across industries or the broader public? And how positively or negatively is that topic perceived over time? This information helps give financial data context and direction, a way to predict what happens next.
So where do you turn to for reliable, timely nowcasting data?

Nowcast-enhancing platform

At SESAMm, we have a flexible, adaptable, and modular platform to nowcast pretty much any macroeconomic theme: inflation, supply chains, unemployment, and everything in between. If you can gauge it, we can find data on it.

How do we do this? Our natural language processing (NLP) platform makes sense of all available news, articles, and forums on the web. Currently, there are more than 20 billion articles in our data lake, and it's growing by millions daily. And because we update our data lake multiple times a day, you can read nowcast macroeconomic indicators in near real time.

This flexible approach to building themes goes way beyond off-the-shelf sentiment feeds, and you can adapt to new, emerging factors on the fly.

Use case: inflation insights

With the TextReveal® API and Dashboards, you can generate custom proprietary inflation requests—or pull existing queries by country and sector—and use this data in your nowcasting models (Figure 1).

In this example extracted from our API (Figure 2), the number of sources mentioning inflation is relatively stable until 2021, when it starts to increase rapidly, in anticipation of actual inflation readings.

As you can see, you can track a topic and map it to various segments, creating a signal that accurately follows that theme over time. But that's not all. Macro teams can inject their expertise into building these queries, too. So if they have specific ideas on keywords and themes to capture—for example, inflation in Brazil—they have complete control over them.

Ultimately, you can break down the data by volume, sentiment, sector, language, or country. Do you want to know what the Japanese market makes of rising inflation in the U.S.? With SESAMm's platform, you can slice the data in different ways to find out.

Results with transparency

All that inform the results of your queries are available for scrutiny. Say you want to understand why a topic or theme is trending one way or the other, or maybe the sentiment isn't what you expect. You can drill down to the source articles to see why (figure 3).

Use Case: predictive signals for macro factors and commodities

We worked with a client as part of an asset allocation strategy to build indicators reflecting the tone of the Fed fund rate to see what we could predict based on the indicators.

[figure 4]

In Figure 4, the language we uncover becomes increasingly dovish, as indicated by the blue line, the aggregate of the hawkish and dovish indicators. It's proceeded by the fall in interest rates, the start of covid, and the recent inflationary period. Then, the indicators spike way before interest rates move up. Of course, it isn't the only factor, and it's not 100% predictive, but it does reflect future movements. Inflation is at an eight-year high right now, so it's indicative of continuing inflation returns and continuing rising interest rates.

Nowcasting and forecasting with TextReveal

With TextReveal, you can nowcast any macro theme by building expert-driven queries and predictive forecasting signals to get insights into volume, sentiment, and more.

If you want to find data relationships that accurately reflect economic trends and macro themes to what's happening online in near real time with a high degree of control, reach out for a demo.

Sustainability trends have become ubiquitous in the business world, mainly due to the attention ESG is receiving. To state the obvious, this is a positive trend as it helps push companies to consider their impact on the environment, employees, and customers and ensure their governance practices are sound. However, it also incentivizes actors in the business world to try to game the system through marketing campaigns to improve their reputation.

Through the use of artificial intelligence and other technologies, we embarked on a mission to analyze the sentiment on the web and uncover to what extent companies are incurring reputational laundering techniques to deceive investors, customers, and other stakeholders but also to identify the ones that are actually performing actions to have a positive impact around them.

This analysis dives into the concept of greenwashing and reputational laundering. It reveals the nuanced interplay between genuine sustainability efforts and deceptive practices, offering a new lens to distinguish genuine from false corporate sustainability claims.

Beyond Greenwashing: Reputational Laundering

Let’s start with some definitions. Reputational laundering is deliberately hiding unethical behavior with highly visible positive actions. Greenwashing is just one component of reputational laundering. Another component is the social aspect of it, and it includes various forms of color washing such as purplewashing, pinkwashing, purpose washing, etc. So far, in 2023, greenwashing accounted for 55% of all the volume of reputational laundering mentions on the web. So, the remaining 45% represents color-washing.

TerraChoice defines greenwashing as “the act of misleading consumers regarding the environmental practices of a company or the environmental performance and positive communication about environmental performance."

Colorwashing, on the other hand, refers to a strategy used by organizations to create a positive public image by associating themselves with specific causes, ethics, or moral standpoints.

Beyond the conventional understanding of deliberate greenwashing, there’s a more nuanced concept and less discussed: unintentional greenwashing, where companies inadvertently convey misleading environmental claims. This can occur due to a lack of understanding of the true impact of their products or services, unverified claims, overlooking hidden consequences, unintentional confusion in marketing materials, or insufficient transparency. While these companies may not have malicious intent, their actions can inadvertently misrepresent their environmental efforts and mislead consumers about their commitment to sustainability.

Reputational laundering at a glance

Over the past eight years, reputational laundering mentions have increased steadily. However, from 2021 onwards, they’ve grown a staggering 3.3x. The mentions of reputational laundering are coming from different topics, from false advertising, and misleading practices to lawsuits regarding greenwashing. Furthermore, we have observed a growing number of references regarding the declining trust of the public in corporate pledges, such as those related to 'net-zero' climate goals.

This increase can be attributed to two main reasons: the actual increase in reputational laundering and, more interestingly, the growing awareness from stakeholders (i.e., Investors and eco-conscious consumer base).

According to a report published by the UN Environment Programme (UNEP), climate change lawsuits have continuously surged over the past five years.
Consequently, we analyze mentions of lawsuits related to environmental breaches and detect a significant increase in 2021 – which continues to the present day.

Lawsuit mentions have increased by more than 3x since 2020. These litigations span a spectrum of environmental issues, extending well beyond planned obsolescence practices by major consumer goods manufacturers. We also observe the rise of youth-led climate change lawsuits, instances of oil spills, wildfires, pollution-related legal actions, and the pervasive issue of PFAS contamination.

Breakdown by type of washing

While greenwashing often dominates the conversation around reputational risks, it's crucial not to overlook the social dimension, which tends to receive less attention from the public. Since 2020, we've observed a significant uptick in mentions of greenwashing and its less-discussed counterpart, colorwashing.

Historically, up until 2020, the distribution of mentions leaned toward one-third greenwashing compared to two-thirds colorwashing. However, post-2021, this pattern has shifted. We've witnessed a rise in the frequency of greenwashing mentions, surpassing those of colorwashing and signaling an evolution in the focus of reputational laundering concerns.

During the COP27 conference at the end of 2022, a call was made to verify carbon and other environmental claims and show zero greenwashing tolerance. As a result, there has been a rise in scrutiny, and data now shows an increase in the number of allegations related to greenwashing. Here are a few examples:

June 2022: Head of Deutsche Bank’s DWS stepping after ‘greenwashing’ raids,
October 2023: Suncor accused of greenwashing
September 2023: Greenwashing cases against airlines in Europe, the US,

In analyzing advertisements, we found instances of reputational laundering through various means. Some companies engaged in social washing, while others used sportwashing to bolster their reputation. The mining and energy industries were particularly guilty of this practice. Meanwhile, the communication industry, including companies such as Netflix and Disney, was associated with black and whitewashing.

Inspecting the Regulatory Landscape

To analyze the regulatory environment of reputational laundering, we studied the effects of different legal frameworks and government organizations on greenwashing and other forms of reputational laundering. We measured the influence of legal frameworks and regulatory bodies on greenwashing by analyzing the quarterly growth of greenwashing mentions over the study period.

In this analysis, we define the concept of legal frameworks by capturing references related to the 'Green Claims' directive, Sustainable Finance Disclosure Regulation, EU Taxonomy, Green Product Certification, Fair Labeling and Advertising Act, Non-Financial Reporting Directive, FTC Act, FTC Green Guides, etc.

Concepts of Regulation bodies are defined by references to governments and Supranational entities (i.e.,  US government, FTC, SEC, Chinese government, Japanese government, etc.) or regulatory agencies established to safeguard the environment (United Nations Environment Programme (UNEP), Environmental Protection Agency (EPA), European Environment Agency (EAA), Intergovernmental Panel on Climate Change (IPCC), etc.)

Over the past three years, mentions of frameworks and laws have grown substantially, with increasing ESG scrutiny, new green claims guidelines, and a focus on sustainability and ESG reporting.

There has been a slight increase in the mentions of regulatory bodies over the years, mainly due to the growing interest in greenwashing, which has peaked during events like COP26 and COP27. Legal frameworks and regulatory bodies have played a significant role in the fight against greenwashing. Although there is no decrease in the mentions of this topic, the growth rate has reduced significantly. In fact, the quarter-on-quarter growth for greenwashing web mentions has been decreasing lately.

The trends reveal an interesting fact that there is a negative correlation between the growth in mentions of frameworks, laws, and regulatory bodies and the growth in mentions of greenwashing. Though the mentions of greenwashing are still increasing, the growth rate has significantly decreased from a 75% quarterly growth rate to 10% in the last year (except for spikes related to controversial events such as Greta Thunberg labeling COP26 as a “greenwash festival,” and not attending COP27).

Conclusion

As we navigate the landscape of corporate sustainability, it becomes evident that distinguishing genuine efforts from greenwashing is not just a matter of skepticism but a necessity. This exploration underscores the importance of vigilant analysis and the role of AI in unmasking deceptive practices. It calls for a collective commitment to transparency and accountability, empowering stakeholders to make informed decisions and advocating for a future where corporate responsibility aligns authentically with sustainable development.

At SESAMm, we used AI to study billions of articles and analyze greenwashing trends. Download this comprehensive ebook for an in-depth understanding of the evolving landscape of reputational laundering, notably greenwashing, and dive into its trends in the corporate world.

SESAMm’s AI Technology Reveals ESG Insights

Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.

At the RBI Innovation Summit in November 2023, SESAMm's CEO, Sylvain Forté, and Suleiman Arabiat, Senior Investment Manager at Elevator Ventures, shared an interview about the intersection of artificial intelligence and ESG data analytics. This conversation highlighted SESAMm's commitment to revolutionizing how ESG data is analyzed and utilized in the financial sector.

Sylvain Forté, SESAMm's CEO and co-founder, illustrated the company's impact in detecting ESG controversies using advanced AI. By processing billions of documents, SESAMm offers a unique capability to identify environmental, social, and governance issues that influence companies. This cutting-edge approach is particularly important for private equity firms, asset managers, banks, and corporations, providing them with critical data for informed decision-making.

The interview dove into the essence of ESG – encompassing environmental, social, and governance topics – and its growing importance in regulatory frameworks worldwide. SESAMm’s AI-driven technology scans online content in over 100 languages, from major media publications to niche NGO websites, to detect and alert clients about potential controversies.

Forté shared the birth of SESAMm, tracing back to 2014 when the initial idea burgeoned from a passion for AI and its application in text analysis. This nascent idea evolved into a specialized focus on ESG controversy analysis, aligning with the increasing regulatory emphasis on sustainable investment strategies.

One of the major challenges SESAMm faced was maintaining focus while leveraging its complex technology platform for the right use cases. This journey led us to tailor our technology for end business users, aligning with the company's growth and scalability goals.
As we continue to expand, particularly in the US market and private equity sector, we remain committed to enhancing our offerings in asset management and exploring partnerships in the fintech space. This journey reflects a fusion of technological innovation and dedication to sustainable investment practices, signaling a transformative era in ESG data analytics powered by AI.

To gain deeper insights into how SESAMm is shaping the future of ESG data analytics with AI, watch the full interview between SESAMm's CEO, Sylvain Forté, and Suleiman Arabiat at the RBI Innovation Summit.

SESAMm’s AI Technology Reveals ESG Insights

Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.