Amelia, L., & Balqis, N. (2023). Changes in communication patterns in the digital age. ARRUS Journal of Social Sciences and Humanities.  https://doi.org/10.35877/soshum1992

    These authors examine how social media has fundamentally influenced human interaction, showing that new media has established new ways of social interaction and has increased global connectivity. The study also notes resulting challenges, including changing norms and privacy issues. This source looks at cultural shifts in digital media and technology by focusing on changes to everyday social interaction and communication norms. It provides the perspective that social media has disrupted core human communication patterns.

Amoore, L. (2022). Machine learning political orders. Review of International Studies. https://www.cambridge.org/core/journ als/review-of-international- studies/article/machine- learning-politicalorders/E10088513299784A34BB6EA4204E8B07    

Amoore argues that deep network algorithms used in the media have created a new machine learning political order by reconfiguring complex societal and political issues and treating them as purely abstract, quantifiable machine learning problems. He warns that this system will harm communities. The importance here is that algorithmic design as used in social media and elsewhere is not a neutral tool, but is a system that can manipulate societal instability for both profit and power.

Chan, M., & Yi, J. (2024). Social media use and political engagement in polarized times: Political Communication. https://www.tandfonline.com/doi/abs/10.1080/10584609.2024.2325423

Chan examines polarization in democracies caused by new technology applied to social media. In particular his finding that the adoption of Artificial Intelligence (AI) profoundly transforms society. This new technology forces democratic institutions to adopt specific values .This source expands analysis of technology to the organizational and corporate sphere. It demonstrates that technological tools (AI) are not just used by culture but actively act as an independent force that imposes cultural requirements onto human institutions via social media.   

Dinh, T., & Lee, Y.  (2025). Understanding the psychological drivers of online self-presentation: a survey study on social media exposure, social comparison, social network type and FOMO. BMC Psychol. https://pmc.ncbi.nlm.nih.gov/articles/PMC12255000/

This study examines how individuals use self-presentation strategies to construct and manage their online identities. It notes that the composition of the user’s social network is a key factor influencing effective online impression management and identity construction.  It also identifies and discussed key digital concepts like FOMO (fear of missing out) and CFA (confirmatory factor analysis). This source is important for analyzing how social media affects modern culture and identity. It offers a psychological framework to explain shifts in online behavior, self-concept, and the pressure to maintain a positive public image. 

McQuail, D., & Deuze, M. (2020). McQuail's Media & Mass Communication Theory (7th ed.). Sage. http://pure.uva.nl/ws/files/53580792/2020_Deuze_in_CT_media_and_mass_comm.pdf   

McQuaid and Deuze address communications theory for the digital era, specifically dealing with new issues such as big data, algorithmic culture, AI, platform governance, streaming services, and mass self-communication. It introduces the concept of mass self-communication, which describes networked, decentralized communication environments that deviate from traditional centralized media models. This source provides the theoretical vocabulary and historical context for defining the subject matter. It traces the evolution of mass media from a centralized system to a networked one.

Murire, O. T. (2024). Artificial Intelligence and Its Role in Shaping Organizational Work Practices and Culture. Administrative Sciences. https://doi.org/10.3390/admsci14120316

This article investigates the overall impact of the adoption of Artificial Intelligence (AI). It takes the position that AI will transform organizations resulting in cultural shifts. AI will be a driver of innovation across all aspects of business. In this way it is demonstrated that technology can force change on how our society and culture functions. While AI will result in greater and innovation, it also raises serious issues of bias, ethics, and privacy.

Wolfs, W., & Veldhuis, J. J. (2023). Regulating social media through self-regulation: A process-

tracing case study of the European Commission and Facebook. International Communication Gazette, 85(2), 170–190. https://www.tandfonline.com/doi/full/10.1080/2474736X.2023.2182696  

This study investigates the lack of regulation of online political advertising in the media and finds that the model of self-regulation has failed. Lack of monitoring and accountability is blamed . This prevents regulatory bodies from effectively online political advertisements.   This source provides information on the lack of governance and ethics of technology and social media. It demonstrates the policy failures that highlight urgent need to address social media platforms that can influence political outcomes. 

Don't End Up Like This

Sure a Court appointed receiver may get your money one day - maybe about 3 cents on the dollar after expenses that is:

http://www.cash4titles.com/Receiver_Reports/Receiver_Report__7/receiver_report__7.html

Hedge Fund Jurisdictions

Many of the hedgers are ostensibly based offshore with little or no meaningful recognition.

Places like:

St. Vincent
British Virgin Islands
Turks and Caicos islands
St. Lucia
Cayman Islands

In reality the hedgers use bank accounts in Lichtenstein, Luxembourg, Switzerland, and Gibraltar while claiming legal domicile elsewhere.

However - it is possible to recover assets - the one thing the hedge funds fear is exposure to an accounting.

Merrill doled out multi-billion bonuses before BofA takeover

Merrill Lynch, in an unusual move, expedited bonus payouts by a month last year, doling out billions of dollars to staff just three days before the completion of its takeover by Bank of America, according to report in the Financial Times.
Merrills compensation committee endorsed the bonuses on December 8, three days after the deal was given the go-ahead by Merrill and BofA shareholders. The payments happened on December 29 - far earlier than previous years, sources said, as cited in the FT report.
http://www.ft.com/cms/s/0/378a38d4-e814-11dd-b2a5-0000779fd2ac.html?nclick_check=1>
Merrill Lynch took the unusual step of accelerating bonus payments by a month last year, doling out billions of dollars to employees just three days before the closing of its sale to Bank of America.
The timing is notable because the money was paid as Merrills losses were mounting and Ken Lewis, BofAs chief executive, was seeking additional funds from the governments troubled asset recovery programme to help close the deal.
Merrill and BofA shareholders voted to approve the takeover on December 5. Three days later, Merrills compensation committee approved the bonuses, which were paid on December 29. In past years, Merrill had paid bonuses later usually late January or early February, according to company officials.
Within days of the compensation committee meeting, BofA officials said they became aware that Merrills fourth-quarter losses would be greater than expected and began talks with the US Treasury on securing additional Tarp money.
Last week, BofA said it would be receiving $20bn in Tarp money, in addition to the $25bn that had been earmarked for it and Merrill last year. It was then revealed that Merrill had suffered a $21.5bn operating loss in the fourth quarter.
Despite the magnitude of the losses, Merrill had set aside $15bn for 2008 compensation, a sum that was only 6 per cent lower than the total in 2007, when the investment banks losses were smaller.
The bulk of $15bn in compensation was paid out as salary and benefits throughout the course of the year. A person familiar with the matter estimated that about $3bn to $4bn was paid out in bonuses in December.
Nancy Bush, an analyst with NAB Research, described the size of the 2008 Merrill bonus payments as ridiculous.
BofA said: Merrill Lynch was an independent company until January 1 2009. John Thain (Merrills chief executive) decided to pay year-end incentives in December as opposed to their normal date in January. BofA was informed of his decision.
BofA declined to specify when Mr Thain informed the bank of his decision.
A source familiar with the matter says Mr Thain, in the weeks leading up to the December 8 compensation committee meeting, had been weighing the possibility of requesting a bonus of at least $10m for himself before ultimately deciding against such a move.

Hedge Fund Losses?

Hedge Fund investors worldwide that have suffered losses due to hedge fund misrepresentations about risk and other matters may have a remedy.

The current financial crisis has revealed fraud, corruption, manipulation, and rampant misrepresentation in the hedge fund industry.

These silk stocking grifters must disgorge their ill gotten gains.