Tuesday, April 01, 2025

 

Words matter: How CEOs talk about the future can sway investors — but only if it’s written down



UNLV study shows that what corporate leaders say, and how they say it, can change how people invest their money.



University of Nevada, Las Vegas

UNLV Lee Business School professor Scott C. Jackson 

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UNLV Lee Business School professor Scott C. Jackson

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Credit: Josh Hawkins/UNLV




A new study offers a clear takeaway for CEOs and corporate leaders concerned with building trust with their investors: The wording they use to describe a company’s future plans and the format in which they are shared may actually shape investor decisions.

The research, recently published in Behavioral Research in Accounting, was co-authored by UNLV Lee Business School accounting professor Scott C. Jackson and colleagues from the University of Massachusetts Amherst. 

To understand how communications methods influence investor decisions, the researchers tracked how 250 past and would-be MBA student investors responded to the same CEO message. Some received it in writing, while others watched a video or listened to an audio clip. 

Researchers found that when CEOs and managers describe future events using certain types of language — like present tense or active voice — investors were more likely to see those events as real and likely. But here’s the catch: this only happens when the message is written.

For messages delivered through video or audio, the perceived likelihood of future events mostly disappears because people start processing voice and facial cues instead of words.

“Written communication holds more weight in this case,” said Jackson. “When people read about far-off plans discussed with immediate language, it brings the future closer in their minds and makes it seem more likely. But with video or audio, other things — like tone or body language — start to play a bigger role and dilute the message.”

The Bigger Picture

The study comes at a time when federal agencies like the U.S. Securities and Exchange Commission (SEC) and Federal Trade Commission are stepping up efforts to make financial and corporate communication more transparent — from cracking down on hidden fees to pushing for clearer risk disclosures. It also aligns with the SEC’s growing attention to the language and tone companies use in public disclosures. As companies increasingly share their vision across platforms like YouTube, LinkedIn, and earnings calls, the way those messages are delivered, and how they sound, is more important than ever.

“We’re used to thinking that video adds a sense of professionalism and credibility,” said Jackson. “But when it comes to shaping expectations about the future, written communication might actually have the stronger effect.”

How the Message Shapes a Moment

This doesn’t just matter to Wall Street. It has ripple effects across industries and cities.  

Las Vegas, for example, is no stranger to bold announcements for new casinos, sports arenas, and tech hubs. Behind every major development is a pitch to investors, city planners, and other stakeholders. This study suggests that how and where those plans are communicated could impact how real or risky they seem.

And it reflects a broader truth about human perception, Jackson said. He points to a historic example in the 1960 Kennedy-Nixon presidential debates. TV viewers favored the polished, confident image of JFK, while radio listeners focused only on words and believed Nixon came out ahead. The medium matters, and written communication may hold more sway than we think. 

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A new UNLV-led study examines how communication methods influence investor decisions.

Credit

Becca Schwartz/UNLV

About the Study

Does Temporal Immediacy Impact Investors’ Judgments? It Depends on Communication Mode" was published Feb. 27, 2025 in the journal Behavioral Research in Accounting. Jackson collaborated with Elaine Wang and David Piercey of the University of Massachusetts Amherst.

 

Study: People who identify as alt-right find security in the status quo



Alt-right supporters are “system justifiers” driven to maintain order




Binghamton University

USA American flag 

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New findings from a study including faculty at Binghamton University, State University of New York suggest that individuals who report higher levels of system-justifying beliefs are more likely to identify with the alt-right

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Credit: "USA American Flag." by JeepersMedia is licensed under CC BY 2.0.




BINGHAMTON, N.Y. -- Who are the alt-right, and what do they stand for? The term is broad — an alt-right supporter could be anyone from an armed insurrectionist to an armchair political pundit — but they tend to have one thing in common.

According to new research involving faculty at Binghamton University, State University of New York, people who identify as alt-right tend to be “system justifiers” who want to maintain the traditional status quo as an antidote to insecurity.

Alt-right means different things to different people, but the term is often used as a ‘catch-all’ for a variety of right-leaning, extremist, and reactionary ideologies in the American context, according to Kanisha Bond, an assistant professor of political science at Binghamton University and co-author of the new paper.

Bond and her colleagues were interested in understanding the social psychology that might underpin the attractiveness of an alt-right identity for everyday individuals. “All movements are very diverse; there's rarely only one single set of interests that might galvanize people into a community with each other,” said Bond. “But understanding more about folks’ underlying values or ways of seeing the world can be useful for explaining why some people are more or less likely to gravitate toward a particular collective identity.”

Specifically, they wanted to explore whether system justification theory – which holds that individuals vary in a psychological orientation to manage a sense of threat and distress by defending established systems – could explain that attractiveness. “System justification can be appealing to anybody who believes that traditionalism facilitates order, and particularly when they are experiencing some perceived or real insecurity,” said Bond. “System justifiers don't actually care who or what the specific authority is, but they care a lot about maintaining the safety that they assume comes with keeping stability in the status quo. They believe that the antidote to their insecurity is a traditionalist approach to order.”

Bond and her co-authors conducted two surveys of 4,700 Americans in June 2020 and January 2022. The surveys included self-identification questions, like “To what extent do you identify with the views of the ‘alternative right’ or ‘alt-right’?” and support questions, like a prompt asking respondents to indicate whether they are or are not a supporter of the alt-right movement. They didn’t define ‘alt-right’ for respondents ahead of time, to be sure that all self-identifications were based on respondents’ own ideas about what the term meant to them. 

The team used the average response on a question inventory developed by Aaron Kay and John Jost to determine the presence of system-justifying beliefs. They measured the strength of those beliefs on a seven-point scale, from strongly disagree to strongly agree. 

The new findings suggest that individuals who report higher levels of system-justifying beliefs are more likely to identify with the alt-right. Higher levels of system-justifying beliefs also appear to correlate with a delegitimation of protest activity that challenges existing social and racial inequality, such as by the Black Lives Matter movement. The authors also find meaningful racial and ethnic diversity among “system-justifiers.” Bond thinks this might help us understand more about the broadening appeal of alt-right ideological messaging.  

Bond and her colleagues are using the results of these surveys to study the anti-lockdown protests during the COVID-19 pandemic as well. They are specifically interested in probing the assumption that anti-lockdown protests served as a sort of “dry run” for the Jan. 6 insurrection at the U.S. Capitol.

Bond says it’s important to take people's beliefs about themselves and their understandings of the world seriously, especially in the face of ideologically extreme views. “I think a big part of this research is trying to make clear that there are real political consequences to interactions among those beliefs, particularly when it comes to understanding the quality of democracy and the possibilities of national unity in light of real and perceived inequalities of experience, access, and security” said Bond.

The paper was co-authored by Katherine Sawyer, an assistant professor in the Department of Political Science at Stony Brook University; and Hannah Ham, an assistant professor in the Department of Psychology at Brooklyn College.

“System justification and the American alt-right,” was published in Politics, Groups, & Identities.

 

Blockchain startups are failing – and it’s not because of the technology




Up to 90% of blockchain technology initiatives within startup businesses will inevitably fail, according to a new study from the University of Surrey. 




University of Surrey




Up to 90% of blockchain technology initiatives within startup businesses will inevitably fail, according to a new study from the University of Surrey.  

Researchers have exposed a fundamental truth about the technology that many have hailed as the future of business: without strong leadership and a clear vision, startups are likely to collapse under the weight of their own ambitions. 

The study, published in Operations Management, found that many founders at blockchain companies don't have the power or influence needed to successfully lead their projects. The research points out key problems in how decisions are made and how companies explore new ideas, which can lead to them getting stuck and ultimately failing. This challenges the common belief that adopting blockchain is just a technical problem, showing instead that the founder's influence is crucial in managing the complicated world of blockchain. 

Professor Yu Xiong, co-author of the study from the University of Surrey, said: 

"We discovered that the effectiveness of blockchain adoption is not just about technology but is deeply rooted in the management behaviours of founders. In short, blockchain companies may need its own “founder mode” moment to survive. 

"Strong leadership can transform a nascent idea into a thriving business, while weak governance can doom even the most innovative projects to failure. 

“The way decisions are made in these companies can be problematic. Some founders let everyone have a say, which sounds good, but it can lead to confusion and slow progress. For example, if a team can't agree on a new feature for their blockchain service, they might waste time debating instead of moving forward." 

The research examined five blockchain startups over a five-year period. By analysing interviews, internal documents, and direct observations, the study captured the dynamics of decision-making and management behaviours within these companies.  

The results indicate that successful founders actively seek inspiration beyond the blockchain ecosystem, adopting centralised decision-making styles that enable quick adaptations and innovation. In contrast, less effective startups often remain trapped in a cycle of within-blockchain exploration, leading to slow implementations and limited scalability. 

Professor Xiong continued: 

“By fostering a culture of creativity and encouraging cross-departmental collaboration, startups can effectively align their blockchain solutions with market demands. This approach not only enhances operational efficiency but also prevents the pitfalls of technology adoption that have plagued many firms in the industry. 

“There’s an urgent need for a paradigm shift in how blockchain technology is perceived and implemented. We call on entrepreneurs and investors to recognise the pivotal role of founder influence in the success of blockchain initiatives, moving away from a purely technical focus towards a more holistic view that encompasses leadership dynamics.” 

The project is a collaboration between Dr Yuanzhu Zhan of the University of Birmingham, Dr Xinjie Xing of the University of Liverpool, Professor Andy Yeung of the Hong Kong Polytech University, and Professor Kim Tan of Nottingham University. 

[ENDS]  

Notes to editors 

 

Artificial intelligence is an effective tool in exploring corporate reporting



A doctoral researcher from the University of Vaasa, Finland, has developed new machine learning-based methods that can be used to examine corporate reporting related to responsibility, innovation, and blockchain




University of Vaasa

Doctoral researcher Essi Nousiainen 

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Doctoral researcher Essi Nousiainen from the University of Vaasa, Finland

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Machine learning methods enable the efficient mining of large amounts of data from corporate reports. In her doctoral dissertation at the University of Vaasa, Finland, Essi Nousiainen presents how the new machine learning-based methods she has developed can be used to examine corporate reporting related to, among other things, responsibility, innovation, and blockchain.

Corporate accounting reports contain extensive data on various themes, and machine learning methods as well as AI-based language models offer entirely new possibilities for exploring this data. In her doctoral dissertation in Accounting, Essi Nousiainen illustrates what kind of information can be gathered about corporate responsibility, innovation, and blockchain-related trends using machine learning and AI-based text analysis. The analyses are based on measurement methods developed by Nousiainen.

– The text analyses revealed, for instance, that companies publicly seeking buyers report more on responsibility than their peers. However, the actual responsibility actions of these companies did not differ from the comparison group. This suggests an attempt to appear more responsible in sales situations and highlights the need for responsibility reporting regulation, says Nousiainen, who will defend her dissertation at the University of Vaasa on 4 April.

– The analyses also showed that companies are addressing topics related to cryptocurrencies more cautiously than before, while the trend was the opposite for other blockchain-related topics, she adds.

New metrics help with competitor and industry analyses

Nousiainen’s dissertation develops new machine learning and text-based metrics for measuring corporate innovation and responsibility from accounting reports.

– With the innovation metric, report topics can be mined and compared in a way that allows the level of corporate innovation to be identified without just examining patents. The responsibility metric, on the other hand, measures how much companies report on their responsibility based on keywords and contexts.

The dissertation also introduces a research method for analysing corporate blockchain and cryptocurrency reporting, where existing machine learning-based analysis techniques have been combined in a new way.

– These different metrics and methods can be utilised by companies, researchers, and anyone interested in financial statement data. For example, companies can use the methods in competitor and industry analyses, during mergers and acquisitions, and when seeking business partners, Nousiainen summarises.

As her research material, Nousiainen used 10-K and S-1 reports – that is, annual reports and listing particulars – from U.S. companies. Her research methods included Latent Dirichlet Allocation (LDA), sentiment analysis, and statistical modeling.

Doctoral dissertation

Nousiainen, Essi (2025) Essays on Corporate Textual Disclosure. Acta Wasaensia 552. Doctoral dissertation. University of Vaasa.

Publication pdf

Public defence

The public examination of M.Sc. Essi Nousiainen’s doctoral dissertation “Essays on Corporate Textual Disclosure” will be held on Friday 4 April 2025 at 12 (UCT + 3 / EEST) at the University of Vaasa, auditorium Nissi.

It is possible to participate in the defence also online https://uwasa.zoom.us/j/69389271340?pwd=FmudXpiMVxp5KKdySdVfOUbCRnHYFH.1

Password: 508857
Professor Seppo Ikäheimo (Aalto University) will act as opponent and Associate Professor Mikko Ranta as custos.

Further information

Essi Nousiainen, tel. +358 50 346 9780, essi.nousiainen@uwasa.fi

Essi Nousiainen was born in 1996 in Vantaa. In 2020, she earned a Master’s degree in Economic Sciences from the University of Vaasa. At the moment, Nousiainen works as Project Researcher at the University of Vaasa.

 

A classification of drugs based on their environmental impact



University of Lausanne

some drugs end up in lakes, rivers and streams, posing a risk to aquatic ecosystems 

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Scientists at the University of Lausanne (UNIL) and University center Unisanté classified 35 commonly used drugs in Switzerland based on their impact on the aquatic biodiversity.

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Credit: Fabrice Ducrest, UNIL




Scientists at the University of Lausanne (UNIL) and University center Unisanté classified 35 commonly used drugs in Switzerland based on their impact on the aquatic biodiversity. The aim of this research is to provide medical staff with a tool for considering the environmental risks associated with certain common drugs when prescribing them. The proposed list is subject to change when new data become available, their rarity being a limiting factor for classification.

Every day in Western countries, thousands of drugs are consumed, whether to relieve pain, regulate blood pressure or treat infections. But what happens after ingesting these products? Evacuated via urine, many substances end up in wastewater. They are only partially eliminated by these systems, and end up in lakes, rivers and streams, posing a risk to aquatic ecosystems. This risk is now recognized, but it is difficult for doctors to know how to integrate it into their practice.

At the University of Lausanne (UNIL), scientists from the Faculty of Biology and Medicine (FBM) and the Faculty of Geosciences and Environment (FGSE) have carried out a classification of widely-used drugs according to their ecotoxicity, i.e. their danger to the aquatic ecosystem. Published in the International Journal of Environmental Research and Public Health , the study reveals that drugs commonly prescribed in general medicine - to combat inflammation or infection, for example - have significant consequences for the health of fish, algae and bacteria essential to aquatic biodiversity. 

Painkillers and antibiotics among the most problematic

The researchers classified 35 drugs commonly consumed in Switzerland into categories ranging from low to high toxicity for aquatic ecosystems. To do this, they cross-referenced three pieces of information: the 50 most widely sold drugs in Switzerland (by weight), those for which ecotoxicity thresholds exist, and the concentration of those found in the rivers of Vaud and Lake Geneva (in the form of active ingredient).

Among the most problematic drugs are common painkillers and anti-inflammatories such as diclofenac, which is toxic to fish liver and can lead to fish death. There are also antibiotics such as ciprofloxacin, which can eliminate bacteria useful to the ecosystem's balance, and encourage the emergence of antibiotic-resistant bacteria. Mefenamic acid and paracetamol, on the other hand, are in the category with the lowest environmental risks. 

“This classification is far from complete, because of the lack of data. It does, however, give some initial indications for practitioners,” comments Nathalie Chèvre, ecotoxicologist at the FGSE and co-director of the study. “Of the 2000 or so drugs on the European market, we have only classified 35. This is a good start, but more ecotoxic thresholds need to be established and accepted to enable us to continue this kind of analysis”, adds Tiphaine Charmillot, a researcher at the FBM and Unisanté, and first author of the article.

In Switzerland, new treatments are being introduced at WWTPs, with promising results. “However, they are costly both economically and ecologically,” says Nathalie Chèvre. “Nor does it solve the problem of poor connections and wet-weather discharges. So it's always preferable to fight at source."

In the meantime, the scientists hope that this approach, which represents a first step, will encourage the integration of environmental considerations into therapeutic choices, as is already advocated within the framework of various initiatives such as “smarter medicine - Choosing Wisely Switzerland ”. The idea is to control the environmental impact of healthcare professionals' practices, while offering the best possible quality of care.

In practice, this could mean using this classification to prioritize the least harmful option when prescribing medication, in cases where two treatments have the same therapeutic efficacy - for example, favoring the use of mefenamic acid over diclofenac for the treatment of pain; avoiding unnecessary prescriptions, such as antibiotics for non-bacterial infections (e.g., colds); and finally, proposing non-pharmacological approaches where possible (treatment of chronic pain by physiotherapy or behavioral therapy; treatment of mild depression by phytotherapy, etc.). 

“The concept of health should encompass human health, the health of all living things and the health of the natural environment,” explains Nicolas Senn, a researcher at FBM and Unisanté, and co-director of the study. “Eco-responsible medicine also benefits patients directly, by avoiding over-medication, but also indirectly, by promoting a healthier environment, which is essential for well-being”. 

Source: T. Charmillot, N. Chèvre, N. Senn, Developing an Ecotoxicological Classification for Frequently Used Drugs in Primary Care, International Journal of Environmental Research and Public Health, 2025

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Drug classification*, overview of results:
*The word “drug” is used here to refer to the active ingredients of the drug.

High to very high-risk level for aquatic life and ecosystems:

  • Antibiotics (clarithromycin, azithromycin, ciprofloxacin, sulfamethoxazole)
  • Painkiller, anti-inflammatory (diclofenac, ibuprofen)
  • Antiepileptic, mood stabilizer (Carbamazepine)
  • Iodinated contrass agent (iopromide, iomeprol)

Moderate environmental for aquatic life and ecosystems:

  • Antibiotics (clindamycin, erythromycin, metronidazole, trimethoprim)
  • Antidepressant (venlafaxine)
  • Painkiller, anti-inflammatory (ketoprofen, mefenamic acid, naproxen)
  • Beta-blocker (metoprolol, propranolol, sotalol)

Low to Very Low Environmental Risk for aquatic life and ecosystems:

  • Antibiotics (ofloxacin, sulfadiazine)
  • Antidepressant (amisulpride, citalopram, mirtazapine)
  • Antidiabetic (metformine)
  • Painkiller (paracetamol, tramadol)
  • Antiepileptic (gabapentin, lamotrigin, primidone)
  • Anti-hypertensive (candesartan, irbesartan)
  • Betablocker (atenolol)
  • Diuretic (hydrochlorothiazid)

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