filter bubbles pros and cons

Online dating and book-recommendation and travel websites would not function without algorithms. Pros and cons of filter bubbles There are definite pros and cons of filters on social networking websites. Completely destroying filter bubble stands in opposition to the concept of the bubble itself. And how do we make sure we’re learning other viewpoints when we don’t even know what we’re missing? In the meantime, we honestly don’t know how well or safely it is being applied. Filter Bubbles Pros and Cons Positive From the user's point of view, personalization helps cut through content overload and it takes users right to content they're likely to want to consume. Experts in this canvassing noted that these algorithms are primarily written to optimize efficiency and profitability without much thought about the possible societal impacts of the data modeling and analysis. “Eli Pariser’s The Filter Bubble: Is Web personalization turning us into solipsistic twits?” Slate Magazine, 10 June 2011, www.slate.com/articles/news_and_politics/the_big_idea/2011/06/bubble_trouble.html. Becoming explicitly aware of our simplifying assumptions and heuristics is an important site at which our intellects and influence mature. HI ziggi, if you search the forum, you'll find many threads on the pro's and con's of various filters, and different canister brands. These algorithms give you content based on what they think you like, and they will continue to do so until they’re mainly showing you content you’ll likely consume. (+1) 202-419-4372 | Media Inquiries. The only way to address algorithmic discrimination in the future is to invest in the present. From a company's point of view, it increases the amount of time a user spends on a website, users return more often, and higher engagement levels . Online, people can find whatever they want to confirm their own bias. They will get smaller and more numerous, as more responsibility over individual lives moves away from faceless systems more interested in surveillance and advertising than actual service.”, Marc Rotenberg, executive director of the Electronic Privacy Information Center, observed, “The core problem with algorithmic-based decision-making is the lack of accountability. Democracy and the relationships individuals form with others will be affected if no action is taken. Moreover, as organizations and society get more experience with use of algorithms there will be natural forces toward improvement and limiting any potential problems.”, Judith Donath of Harvard Berkman Klein Center for Internet & Society, replied, “Data can be incomplete, or wrong, and algorithms can embed false assumptions. And more importantly, you don’t actually see what gets edited out.” (Pariser, 4:06). If you're, say, researching the newest Samsung smartphone, information about Samsung's equally new hair dryer will not help you much. Democracy is based on the entire population helping to make decisions, and it gives power to the people by emphasising the majority. Filter . They will forget to test their image recognition on dark skin or their medical diagnostic tools on Asian women or their transport models during major sporting events under heavy fog. It is widely known and acknowledged today by Search Engines Google and Yahoo, and related companies and competitors like Twitter and Facebook, among other sites offering similar services, that personalization leads to enhanced marketing capabilities. The people writing algorithms, even those grounded in data, are a non-representative subset of the population.”, “If you start at a place of inequality and you use algorithms to decide what is a likely outcome for a person/system, you inevitably reinforce inequalities.”, “We will all be mistreated as more homogenous than we are.”, “The result could be the institutionalization of biased and damaging decisions with the excuse of, ‘The computer made the decision, so we have to accept it.’”, “The algorithms will reflect the biased thinking of people. Filter Bubbles and Confirmation Bias - Untruths and Consequences ... Even datasets with billions of pieces of information do not capture the fullness of people’s lives and the diversity of their experiences. Were the right stakeholders involved, and did we learn from our mistakes? Canister Filters: Pros/Cons? | Aquarium Filter Forum The internet runs on algorithms and all online searching is accomplished through them. Consider and assess their assumptions? “The main positive result of this is better understanding of how to make rational decisions, and in this measure a better understanding of ourselves. Educate yourself about filter bubbles, internet tracking, and security. These findings do not represent all the points of view that are possible to a question like this, but they do reveal a wide range of valuable observations based on current trends. The more we click on certain links, the more priority they will have in our feeds. The rates of adoption and diffusion will be highly uneven, based on natural variables of geographies, the environment, economies, infrastructure, policies, sociologies, psychology, and – most importantly – education. From an academic standpoint, unwarranted filtration can prevent one from drawing connections between subjects that are not directly within their passionate subject but are still similar enough to spark interest. Among the many bloggers and speculators who have tried to list out Google’s personalization factors is Rene Pickhardt, a German blogger and Webscience researcher, who opines that seemingly arbid factors like the time we spend on search results, frequency of clicking on ads, time allocated between search mediums – video, news, general, our age and even the user’s frequency of searching for himself are factors that Google takes into consideration to personalize our results. Being in a filter bubble means these algorithms have isolated you from information and perspectives you haven’t already expressed an interest in, meaning you may miss out on important information. A highly personalized service that groups a users Likes and offers results might be okay, as far as certain searches are concerned, like  restaurant or shopping suggestions. Again, citing one of our past readings, I think that the example of Nike’s GreenXchange demonstrates how recognizing the overlaps of different subject matters can actually be mutually beneficial. In a technological recapitulation of what spiritual teachers have been saying for centuries, our things are demonstrating that everything is – or can be – connected to everything else. 554–559. This struggle to express their beliefs has potential to lead to violence, and the inability to have a civic discussion is an issue now that will continue to grow if filter bubbles continue to divide us. He discusses the effect of filter bubbles in his Facebook feed, and how though he is liberal he still likes learning about other points of view beyond his own. The algorithm is nothing without the data. An environment and especially an online environment in which people are exposed only to opinions and information that conform to their existing beliefs. Beware online "filter bubbles" As web companies strive to tailor their services (including news and search results) to our personal tastes, there's a dangerous unintended consequence: We get trapped in a "filter bubble" and don't get exposed to information that could challenge or broaden our worldview. So here’s the question: Can we put an end to the filter bubble? 1, Jan. 2018, pp. We need to ask them to think about their thinking – to look out for pitfalls and inherent biases before those are baked in and harder to remove. Easy Web Development with Bubble: Pros, Cons And Features Copyright © 2022 Research and Scientific Innovation Society, Filter Bubble and Fake News: Facebook and Journalist Ethics. But it doesn’t have to be that way. The right answer is, ‘If we use machine learning models rigorously, they will make things better; if we use them to paper over injustice with the veneer of machine empiricism, it will be worse.’ Amazon uses machine learning to optimize its sales strategies. There are definite pros and cons of filters on social networking websites. Algorithms are instructions for solving a problem or completing a task. Young adults in the U.S. are reaching key life milestones later than in the past, A majority of Americans have heard of ChatGPT, but few have tried it themselves, 5 things to keep in mind when you hear about Gen Z, Millennials, Boomers and other generations, Nearly half of states now recognize Juneteenth as an official holiday, Microsoft engineers created a Twitter bot named “Tay” this past spring in an attempt to chat with Millennials by responding to their prompts, but within hours, Facebook tried to create a feature to highlight Trending Topics from around the site in people’s feeds. In fact, everything people see and do on the web is a product of algorithms. Personalization is usually a good thing, but it can limit the type of information you’re exposed to. This creates an even deeper divide between the people. If people get a well rounded education, and learn to have meaningful, learning-oriented conversations the negative effects of filter bubbles will be greatly decreased. Filter Bubbles Pros and Cons Positive. It will be negative for the poor and the uneducated. Finally, he closes by saying if you’re worried about Google giving you a skewed worldview, turn the customization feature off. Aerators usually create a mixture of water and air, making the stream smoother. Filter bubbles, also known as echo chambers were defined in Pariser’s 2011 TED talk titled “Beware online filter bubbles”. Weisberg asked a Google for a response on this issue, and an employee commented, “We actually have algorithms in place designed specifically to limit personalization and promote variety in the results page” (Weisberg). However, positive effects for one person can be negative for another, and tracing causes and effects can be difficult, so we will have to continually work to understand and adjust the balance. Every time you design a human system optimized for efficiency or profitability you dehumanize the workforce. Deloitte Global predicted more than 80 of the world’s 100 largest enterprise software companies will have cognitive technologies – mediated by algorithms – integrated into their products by the end of 2016. (+1) 202-857-8562 | Fax A standard faucet aerator will limit the water flow to 1.8 or 2.2 GPM (gallons per minute) on average, though this . A significant proportion of government is based on regulation and monitoring, which will no longer be required with the deployment of automated production and transportation systems, along with sensor networks. He made no comment on how individuals build their own filter bubbles, thus these arguments don’t discredit the relevancy of filter bubbles in our society. And according to Eli, these results continue to be personalized even after we have logged out. The question now is, how to better understand and manage what we have done? In many areas, the input variables are either crude (and often proxies for race), such as home ZIP code, or extremely invasive, such as monitoring driving behavior minute-by-minute. The process should not be a black box into which we feed data and out comes an answer, but a transparent process designed not just to produce a result, but to explain how it came up with that result. Here’s why. Eli Pariser, a long-time internet activist, argues that these filtering algorithms are biased, and don’t show content that disagrees with the user. When you first think about algorithms personalizing and curating your online experience, it can sound like a good thing. A sampling of quote excerpts tied to this theme from other respondents (for details, read the fuller versions in the full report): One of the greatest challenges of the next era will be balancing protection of intellectual property in algorithms with protecting the subjects of those algorithms from unfair discrimination and social engineering. A sampling of excerpts tied to this theme from other respondents (for details, read the fuller versions in the full report): Algorithms have the capability to shape individuals’ decisions without them even knowing it, giving those who have control of the algorithms an unfair position of power. There is a larger problem with the increase of algorithm-based outcomes beyond the risk of error or discrimination – the increasing opacity of decision-making and the growing lack of human accountability. A filter bubble has pros and cons. Like fish in a tank, we can see them swimming around and keep an eye on them. And what’s in your filter bubble depends on who you are, and it depends on what you do. Worse, they repackage profit-seeking as a societal good. Pros Advertisers can show personalized products Can quickly find common results to previous ones Easier to find things for your "side" Pros and Cons of Filter Bubbles Cons Can't see needed information Harder to find other people's results Get's clouded from one person's. Get started for FREE Continue. Banks. And when the day comes, they must choose new hires both for their skills and their worldview. Moreover, with more data (and with a more interactive relationship between bank and client) banks can reduce their risk, thus providing more loans, while at the same time providing a range of services individually directed to actually help a person’s financial state. Experts on the Pros and Cons of Algorithms | Pew Research Center For example the search of a brownie recipe has an output of over forty billion search results. The real trick is to not add more car lanes but build a world in which fewer people need or want to drive. The Filter Bubble: Disadvantages and Advantages. Email knows where to go thanks to algorithms. In the future they will likely be evolved by intelligent/learning machines …. Eli Pariser: Beware online "filter bubbles" | TED Talk “The main negative changes come down to a simple but now quite difficult question: How can we see, and fully understand the implications of, the algorithms programmed into everyday actions and decisions? They pursued innovation and research. This reinforces the confirmation bias most of us unconsciously employ. What is different now is the increasing power to program these heuristics explicitly, to perform the simplification outside of the human mind and within the machines and platforms that deliver data to billions of individual lives. None of the efficiency gains brought about by technology has ever lead to more leisure or rest or happiness. Online, we need to cultivate a learning exchange, rather than promoting our own ideas. This will mean the algorithms only become more efficient to humanity’s desires as time progresses.”, “The potential for good is huge, but the potential for misuse and abuse – intentional, and inadvertent – may be greater.”, “Companies seek to maximize profit, not maximize societal good. Oversight will be very difficult or impossible.”, “Algorithms value efficiency over correctness or fairness, and over time their evolution will continue the same priorities that initially formulated them.”, “One of the greatest challenges of the next era will be balancing protection of intellectual property in algorithms with protecting the subjects of those algorithms from unfair discrimination and social engineering.”, “Algorithms purport to be fair, rational and unbiased but just enforce prejudices with no recourse.”, “Unless the algorithms are essentially open source and as such can be modified by user feedback in some fair fashion, the power that likely algorithm-producers (corporations and governments) have to make choices favorable to themselves, whether in internet terms of service or adhesion contracts or political biases, will inject both conscious and unconscious bias into algorithms.”, “If the current economic order remains in place, then I do not see the growth of data-driven algorithms providing much benefit to anyone outside of the richest in society.”, “Social inequalities will presumably become reified.”, “The major risk is that less-regular users, especially those who cluster on one or two sites or platforms, won’t develop that navigational and selection facility and will be at a disadvantage.”, “Algorithms make discrimination more efficient and sanitized. Does not require coding knowledge to use web development application. We all tend to read content that we agree with. These respondents argued that humans are considered to be an “input” to the process and they are not seen as real, thinking, feeling, changing beings. One person’s page contained results about riots in Egypt, while another was travel based. Del Vicario states, “Users tend to aggregate in communities of interest, which causes reinforcement and fosters confirmation bias, segregation, and polarization. It’s all hidden from view. /en/digital-media-literacy/what-is-an-echo-chamber/content/. After all, algorithms are generated by trial and error, by testing, by observing, and coming to certain mathematical formulae regarding choices that have been made again and again – and this can be used for difficult choices and problems, especially when intuitively we cannot readily see an answer or a way to resolve the problem. The other is that the datasets to which algorithms are applied have their own limits and deficiencies. https://btc.ctc.libguides.com/c.php?g=941027. Even if Google claims they have algorithms that encourage diversity, what about Facebook or news sites? It will be negative for the poor and the uneducated. “Algorithms are a useful artifact to begin discussing the larger issue of the effects of technology-enabled assists in our lives. We seclude ourselves from varying ideas by surrounding ourselves with online friends who share our opinions, and by subscribing to content that produces content that supports our beliefs. On the plus side, filter bubbles are great when you need to narrow your choices down to a few options. Given that these systems will be designed by demonstrably imperfect and biased human beings, we are likely to create new and far less visible forms of discrimination and oppression. 21, no. However, Eli Pariser has overlooked certain aspects of the Filter Bubble, among them is the quest for innovation. An internet slowdown, The White House released two reports in October 2016 detailing the, “Algorithms find knowledge in an automated way much faster than traditionally feasible.”, “Algorithms can crunch databases quickly enough to alleviate some of the red tape and bureaucracy that currently slows progress down.”, “We will see less pollution, improved human health, less economic waste.”, “Algorithms have the potential to equalize access to information.”, “The efficiencies of algorithms will lead to more creativity and self-expression.”, “Algorithms can diminish transportation issues; they can identify congestion and alternative times and paths.”, “Self-driving cars could dramatically reduce the number of accidents we have per year, as well as improve quality of life for most people.”, “Better-targeted delivery of news, services and advertising.”, “More evidence-based social science using algorithms to collect data from social media and click trails.”, “Improved and more proactive police work, targeting areas where crime can be prevented.”, “Fewer underdeveloped areas and more international commercial exchanges.”, “Algorithms ease the friction in decision-making, purchasing, transportation and a large number of other behaviors.”, “Bots will follow orders to buy your stocks. As the overall cost of health care declines, it becomes increasingly feasible to provide single-payer health insurance for the entire population, which has known beneficial health outcomes and efficiencies. Numbers, Facts and Trends Shaping Your World, Code-Dependent: Pros and Cons of the Algorithm Age, Self-learning and self-programming algorithms, dropped 6.1% in value in seconds on Oct. 7, it was spouting racist, sexist, Holocaust-denying, could not discern real news from fake news, pointed out that predictive analytics based on algorithms tend to punish the poor, “Someone Is Learning How to Take Down the Internet.”, 23 Principles for Beneficial Artificial Intelligence, five big tech trends will make this election look tame, much more in-depth look at respondents’ thoughts, Themes illuminating concerns and challenges, Key experts’ thinking about the future impacts of algorithms, Theme 1: Algorithms will continue to spread everywhere, Theme 3: Humanity and human judgment are lost when data and predictive modeling become paramount, Theme 4: Biases exist in algorithmically-organized systems, Theme 5: Algorithmic categorizations deepen divides, Theme 7: The need grows for algorithmic literacy, transparency and oversight, 5 key themes in Americans’ views about AI and human enhancement, AI and Human Enhancement: Americans’ Openness Is Tempered by a Range of Concerns, The Future of Digital Spaces and Their Role in Democracy. Not really. Besides, each of us has specific interests, so why not focus on content we’ll probably like? A representative statement of this view came from Barry Chudakov, founder and principal at Sertain Research and StreamFuzion Corp. At minimum, institutions that have broad societal impact would need to disclose the input variables used, how they influence the outcome and be subject to review, not just individual record corrections. From: merriam-webster.com. “To create oversight that would assess the impact of algorithms, first we need to see and understand them in the context for which they were developed. What is the supply chain for that information? Fact: We have already turned our world over to machine learning and algorithms. One of the biggest problems with filter bubbles is people don’t realize they are in them, thus if awareness can be brought to them through education that would help decrease filter bubbles negative effects. If everyone looked at different opinions on issues, and read about problems from multiple sources democracy wouldn’t be threatened like it is. Digital Media Literacy: How Filter Bubbles Isolate You - GCFGlobal.org Websites, online stores, and search engines monitor users’ activity with the goal of providing content that best meets that user’s needs. GPS mapping systems get people from point A to point B via algorithms. "Subscribe" to more than one news source, ideally covering local, national, and international news. Pariser makes a clever comparison saying, “The best editing gives us a bit of both … it gives us some information vegetables; it gives us some information dessert. The material people see on social media is brought to them by algorithms. He continues, saying these filter bubbles can and will negatively affect society, because algorithms are confining people to their small bubble of information, and polarizing our opinions. I foresee algorithms replacing almost all workers with no real options for the replaced humans. And most importantly for those who don’t create algorithms for a living – how do we educate ourselves about the way they work, where they are in operation, what assumptions and biases are inherent in them, and how to keep them transparent? Two connected ideas about societal divisions were evident in many respondents’ answers. However, Eli Pariser has overlooked certain aspects of the Filter Bubble, among them is the quest for . Read news sites and blogs that provide a wide range of perspectives. Following is a brief collection of comments by several of the many top analysts who participated in this canvassing: Vinton Cerf, Internet Hall of Fame member and vice president and chief internet evangelist at Google: “Algorithms are mostly intended to steer people to useful information and I see this as a net positive.”, Cory Doctorow, writer, computer science activist-in-residence at MIT Media Lab and co-owner of Boing Boing, responded, “The choices in this question are too limited. There are too many examples to cite, but I’ll list a few: would-be borrowers turned away from banks, individuals with black-identifying names seeing themselves in advertisements for criminal background searches, people being denied insurance and health care. Eli Pariser’s book explains succinctly, what has long been known about Search Engine giants like Google, that while promising democratization of information and proclaiming a motto like, ‘Do No Evil’, they seem to have changed their tack. They leak lots of private information and are disclosed, by intent or negligence, to entities that do not act in the best interest of the consumer. Today’s drivers will whine, but in 50 years no one will want to drive when they can use that transportation time to experience a reality-indistinguishable immersive virtual environment filled with a bunch of Beyoncé bots. When individuals are engrossed in their personal filter bubbles, negative results can occur. At an absolute minimum, we need to learn to form effective questions and tasks for machines, how to interpret responses and how to simply detect and repair a machine mistake.”, Ben Shneiderman, professor of computer science at the University of Maryland, wrote, “When well-designed, algorithms amplify human abilities, but they must be comprehensible, predictable and controllable.
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