Proxy Culture

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"Proxy culture" refers to the reliance on documented experiences (signifiers) in place of first-hand experiences (the signified). Proxy culture has roots in the intersection of philosophy and technology and may manifest in many ways, including through the use of Yelp business reviews, Amazon product reviews, and Google Maps to understand businesses, services, products, and more.[1] This potentially allows individuals to have experiences that would be otherwise difficult to access, although accuracy of these representations through signifiers can be disputed.

Wikipedia is a classic example of proxy culture in practice.

History

Proxy culture is a relatively new and modern term. It was first used widespread by Luciano Floridi in his paper titled "A Proxy Culture"[1] in 2015 to describe the phenomena where people are increasingly more likely to depend on the infosphere to make decisions.

Luciano Floridi

Luciano Floridi is a Professor of Philosophy and Ethics of Information at the University of Oxford. He has several recognitions and awards for his work relating to information ethics.[2]

Luciano Floridi

Definition and Etymology

Proxy by itself is primarily defined as "the agency, function, or office of a deputy who acts as a substitute for another."[3] The first known use of the term with in the 15th century and has some roots in Latin.

According to Floridi in his aforementioned paper, the concept and idea of a proxy is different but similar. The concept is rooted religiously, while the idea is political.

Today, a proxy itself is mostly related to technology instead. The purely technical term is related to systems where different signals and requests are used, such as a website interacting with the internet.[1] Proxy culture looks at the human component and how they interact with signifiers to better understand the signified.

Degenerate Proxies

Proxies are epistemologically separate from degenerate proxies because the interactions with a proxy is similar to interacting with the signified. Degenerate proxies fulfill some definitions of a full proxy, but are missing some parts. These degenerate proxies can be categorized in three forms: icons, indexes, and symbols. They are not full proxies because they are merely a standby.[1]

Icons

Icons resemble in appearance to what they represent. For example, a photograph of a dog is an icon for a dog. This is not a full proxy because what happens to the photograph of the dog doesn't directly effect the dog.

Indexes

Indexes are correlational, meaning a given index is often associated with what they represent. An example of this is how dark clouds are an index for rain because those often follow.

Symbols

Symbols represent a category they're typically associated with. A drop of water is a symbol for liquids, for example.

Ethics

Monopolies

Powerful entities who are in charge of information dissemination thus have control over proxy culture by curating content. Thus, these entities could unfairly demote or promote products that would benefit themselves. For example, Microsoft was accused and prosecuted by the U.S. Justice Department of creating a monopoly for internet browsers by not allowing its operating system users to download the competing internet browsers Netscape and Opera.[4] Due to being rules as breaking antitrust law, this resulted in Microsoft being broken up into separate software and hardware units.

Monopolies in proxy culture are ethically concerning because they do not promote healthy competition, innovation, and fairness. In the extreme case where there is only one entity in control of an entire market because all other competitors are blocked out, there would be no challenges from competition for them--effectively allowing that entity to raise their prices and lower the quality of their products without any threats. The producer has no incentive to innovate and this forces consumers who rely on these monopolistic market to likely use or pay more for subpar products. Without a monopoly, the consumer would have more choice to pick the best product and entities continually compete to create quality products.

Mitigation

Despite how monopolies may utilize proxy culture to damage rivals, studies have shown that this may be difficult due to the collective action nature of proxy culture. Any user may contribute to proxy culture, yet more credible and frequent editors often reduce potential damage caused by negative competition. [5]

Credibility

Bias

There are also several concerns over bias in proxy culture. People who have particularly negative or positive experiences are more likely to contribute over neutral ones, and not all cases are represented. This means a product that is otherwise fine may be skewed to be seen over negatively or positively due to proxy culture contributions.

Furthermore, there can be more issues when more groups participating than others. This creates barriers for these other groups with additional point-of-views and pieces of information to contributing to proxy culture's ideal of accurate representations. For example, only about 10-15% of Wikipedia contributions come from women.[6] Despite how men and women have approximately the same number of articles on Wikipedia, men are either writing about women from the point of view of men or a small group of women must stretch their smaller group to cover a large amount of information. This means that women have less opportunities to have information that represents themselves in a manner suited to themselves or have men's perspectives imposed on their information.

Anonymity

Reviewers are often anonymous, allowing participants to be anonymized and feel more comfortable--they feel less obligations to use a filter on their opinions because their words stand on their own, rather than being attached to their gender, race, and income level.[5] This is positive because people with limited information on others may use those indicators to determine trustworthiness.[7] It may also facilitate more vulnerability and honesty since participants would be difficult to track and thus can worry less about repercussions.

This can be detrimental when that anonymity is abused to harass others or feign credibility. Because participants' identities are difficult to discover, they have less fears about verbally abusing or threatening others. This can create apathy within a community and scare or hurt people unfairly. The quality of the content they contribute to proxy culture doesn't have large stakes, so they may give inaccurate representations that do not represent their experiences.

Falsification

Competitors may often sabotage others in order to gain an upper hand. For example, mobile developers post falsified negative ratings on rival apps. This not only damages a competitors reputation, but makes themselves look better.

On the other hand, many commit fraud by inflating app sales or posting falsified app ratings for themselves.[8] To try to pin blame on competitors, a group may post several positive reviews on a competitor's product to get them flagged for fraudulent behavior.

Ethically, this poses issues since these competitors abusing review systems by not using them how they're intended (by consumers who used a product and provide honest feedback) are given advantages outside of innovation within a market. Furthermore, having some dishonest reviews in the system may breaks trust in those systems overall even if they have honest reviews as the majority. This damages an otherwise effective way to use proxy culture to understand a given product.

Bots

Reddit often employs bots to moderate their forums, and users can develop their own for other purposes.

Proxy culture involves a ton of data that needs to be vetted, which is often difficult to do with humans alone. On open-source knowledge bases, they're often employed to combat an influx of malicious attacks--using machine learning and artificial intelligence have been developed to monitor quality of crowd sourced content or remove questionable posts. More convincing but still questionable content may pass a bot, but still need to bypass a human moderator to become published. These bots are often non-intrusive, and also serve other functions such as language translation[9]. Overall, they reduce the burden on manual labor and improve efficiency for large-scale sites.

However, they can also make mistakes if they aren't trained for a certain case. Proxy culture involves using a corpus of information to create representations, but machine learning may generate inaccurate ones; this happens when representations are created from biased data and causes ethical issues. For example, Amazon attempted to create a recruiting tool to rate employee applicants using old data to create proxy culture representations of these people.[10] This tool ended up unfairly flagging certain characteristics on resumes as less employable, such as enrollment at a female university or being involved in all female activities, despite unfound correlations. This may have caused well-qualified candidates to miss out on opportunities they would've otherwise had and elevated less qualified candidates.

References

  1. 1.0 1.1 1.2 1.3 Floridi, Luciano. “A Proxy Culture.” SpringerLink, Springer Netherlands, 21 Oct. 2015, link.springer.com/article/10.1007/s13347-015-0209-8.
  2. Oxford Internet Institute. “Professor Luciano Floridi — Oxford Internet Institute”, https://www.oii.ox.ac.uk/people/luciano-floridi/.
  3. “Proxy.” Merriam-Webster, Merriam-Webster, www.merriam-webster.com/dictionary/proxy.
  4. “Digital wars: Apple, Google, Microsoft and the battle for the Internet..” Arthur, Charles. Kogan Page Publishers, 2014. https://books.google.com/books?hl=en&lr=&id=YlZpAwAAQBAJ&oi=fnd&pg=PR5&dq=internet+monopoly+google&ots=AomNG3vOL8&sig=wKAqj5MjQriX4raGRhwvIAjKwZQ#v=onepage&q=microsoft%20monopoly&f=false.
  5. 5.0 5.1 Priedhorsky, Reid, et al. 2007. "Creating, Destroying, and Restoring Value in Wikipedia." Group’07 November 4-7, Sanibel Island, Florida.
  6. https://hbr.org/2016/06/why-do-so-few-women-edit-wikipedia
  7. Stanley, Damian A., et al. "Race and reputation: perceived racial group trustworthiness influences the neural correlates of trust decisions." Philosophical Transactions of the Royal Society B: Biological Sciences 367.1589 (2012): 744-753.
  8. Zhu, Hengshu, et al. "Discovery of ranking fraud for mobile apps." IEEE Transactions on knowledge and data engineering 27.1 (2015): 74-87.
  9. Nasaw, Daniel. [www.bbc.com/news/magazine-18892510/ “Meet the 'Bots' That Edit Wikipedia.”] BBC News, BBC, 25 July 2012, www.bbc.com/news/magazine-18892510.
  10. https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G