The hacking of culture and the creation of socio-technical debt
Algorithms shape culture, dividing it into niche groups. "A Hacker Manifesto" by McKenzie Wark discusses hackers' influence on power dynamics, emphasizing free information. Tech giants like Facebook and TikTok wield immense cultural influence, blurring propaganda and personalization boundaries. Corporate dominance in culture hacking alters global power structures, challenging governments' regulatory capacity.
Read original articleCulture is now heavily influenced by algorithms, leading to a fragmentation of cultural narratives into niche groups defined by ideology or aesthetics. McKenzie Wark's "A Hacker Manifesto" highlights the role of the hacker class in reshaping power dynamics, emphasizing the idea that "information wants to be free." This ethos has driven the rise of internet companies dominating public and private life by leveraging personal data for influence. Platforms like Facebook and TikTok have become cultural influencers, shaping societal norms and values. The manipulation of culture for data extraction and content delivery by tech companies has blurred the line between propaganda and personalization, creating filter bubbles that erode common cultural ground. The shift towards corporate dominance in culture hacking has significant implications for global power structures and social contracts. The intertwining of tech industry roots with counterculture ideals has transformed the internet from a space of connection and play to a tool for surveillance and control. As tech companies evolve into infrastructure businesses with immense power, governments struggle to keep up with the rapid pace of technological development, leading to a consolidation of economic and political power in the hands of a few transnational corporations. The lack of effective regulation further exacerbates this power shift from states to corporations, fundamentally altering societal dynamics.
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Great article, wish it talked about how we might address the issue.
A passing thought: the ethe of individuals in the 70s and 80s is important because of the people it informed in subsequent years. While many people still like to hack, code, etc., the relative proportion of people doing this and working in tech continues to diminish as the popularity and importance of the sector grows. I wonder if debt without values / a more cohered zeitgeist is better or worse?
Agree with others that I’m left wanting for solutions to the challenges he so clearly articulates.
In the vocabulary of Kurt Vonnegut, creating a "granfalloon".
Overview: Biological Sign Systems: 5.56% Genetic Sign Systems: 1.00% Cellular Sign Systems: 0.00% Ecological Sign Systems: 0.00% Evolutionary Sign Systems: 0.00% Human Sign Systems: 66.67% Linguistic Sign Systems: 0.00% Nonverbal Sign Systems: 0.00% Cultural Sign Systems: 2.00% Technological Sign Systems: 0.00% Animal Sign Systems: 0.00% Vocalizations: 0.00% Chemical Communication: 0.00% Visual Signals: 0.00% Tactile Signals: 0.00% Artificial Sign Systems: 23.15% Formal Languages: 0.00% Road Signs: 0.00% Maritime Signals: 0.00% Aviation Signals: 0.00% Semiotic Theories: 4.63% Structural Semiotics: 0.00% Peircean Semiotics: 0.00% Saussurean Semiotics: 0.00% Biosemiotics: 0.00% Cognitive Semiotics: 0.00% Cultural Semiotics: 0.00% Semiotic Anthropology: 0.00% Comics Semiotics: 0.00% Computational Semiotics: 0.00% Cultural and Literary Semiotics: 0.00% Cybersemiotics: 0.00% Design Semiotics: 0.00% Ethnosemiotics: 0.00% Film Semiotics: 0.00% Finite Semiotics: 0.00% Gregorian Chant Semiology: 0.00% Hylosemiotics: 0.00% Law and Semiotics: 0.00% Marketing Semiotics: 0.00% Music Semiotics: 0.00% Organizational Semiotics: 0.00% Pictorial Semiotics: 0.00% Semiotics of Music Videos: 0.00% Social Semiotics: 0.00% Structuralism and Post-Structuralism: 0.00% Theatre Semiotics: 0.00% Urban Semiotics: 0.00% Visual Semiotics: 0.00% Semiotics of Photography: 0.00% Artificial Intelligence Semiotics: 0.00% Semiotics of Mathematics: 0.00%
Detailed Descriptions:
Biological Sign Systems: 5.56% Genetic Sign Systems: The concept of "Genetic Sign Systems" from "Biological Sign Systems" can be related to this article in a variety of ways.
Firstly, Genetic Sign Systems refer to the information passed through genes in a biological system. This information is encoded and decoded through various biological processes, and this system of communication is vital for the survival and development of the organism. Similarly, the article discusses the information systems that exist within our modern digital society, and how these systems are manipulated and exploited by large tech companies for profit.
Secondly, just as genetic sign systems are critical for the survival of a species, the information systems discussed in the article are integral to the functioning of modern societies. However, just as genetic information can be manipulated (through genetic engineering, for instance), our digital information systems are being manipulated by tech companies, with profound impact on our societies and cultures.
Lastly, the concept of evolution in biological systems can also be related to this article. In biological systems, genetic sign systems evolve over time through natural selection, leading to the survival of the fittest. Similarly, our digital information systems are constantly evolving, driven by technological advancements and changes in societal norms. However, this evolution is often controlled and directed by powerful tech companies, leading to a variety of socio-cultural and ethical issues.
In conclusion, the concept of Genetic Sign Systems from Biological Sign Systems offers a useful lens through which to examine and understand the issues discussed in this article.
Human Sign Systems: 66.67% Cultural Sign Systems: The concept of 'Cultural Sign Systems' within 'Human Sign Systems' relates to the given blog post in numerous ways. Cultural sign systems refer to the ways in which societies create and interpret symbols and meanings within their shared cultural contexts. They are the sets of signs and symbols (including language, art, behaviors, rituals, norms, etc.) that a particular cultural group uses to create meaning and communicate with each other.
In the blog post, the writer discusses the hacking of culture by tech companies for data collection and the creation of socio-technical debt. This essentially represents a manipulation of cultural sign systems. The platforms these companies have created, such as Facebook, TikTok, and Instagram, have become cultural in nature. They dictate the circulation of customs, symbols, stories, values, and norms - all elements of a cultural sign system - that bind people together in shared identity.
The post also touches on how culture is now increasingly mediated through algorithms. These algorithms, which are determining what content a user would find most engaging, are in essence controlling the cultural signs and symbols that are being circulated and consumed. This is leading to a fragmentation of shared cultural identity, as instead of binding people through shared narratives (a key aspect of a cultural sign system), digital platforms are creating self-reinforcing filter bubbles.
Moreover, the text discusses how tech companies have effectively 'hacked' cultural sign systems to gather data. By rerouting the way information and value circulate, they are exploiting these sign systems for
Artificial Sign Systems: 23.15%
Semiotic Theories: 4.63%
Disclaimer: this is not an authoritative analysis. It’s generated using an experimental script (see former submission).
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