L11 - Google Epistemology Flashcards
Explain what an epistemically hostile environment is and explain why the internet is such an environment.
- setting where the conditions for acquiring knowledge and forming beliefs are unfavorable, characterized by unreliable information, chaotic presentation, low-quality control, compromised trust relationships, and a lack of rigorous epistemic practices
- The internet embodies such hostility due to its vast and unregulated nature
- The abundance of information makes it challenging to distinguish reliable sources, leading to the proliferation of misinformation and fake news
- The chaotic presentation and low-quality control contribute to an environment where the credibility of information is compromised
- Trust relationships are weakened or broken, given the varying levels of reliability among information providers.
- Moreover, the internet fosters a deficiency in rigorous epistemic practices, such as closed-mindedness, prejudice, wishful thinking, overconfidence, and gullibility, further complicating the formation of beliefs.
- Navigating this complex online landscape demands a commitment to higher standards of belief-formation, including critical thinking, fact-checking, and media literacy.
Give two examples of ‘epistemically hostile’ online phenomena and explain how and why they are epistemically hostile.
- Deepfakes:
- How and Why:
Deepfakes are manipulated videos or audio recordings that use artificial intelligence to replace a person’s likeness with someone else’s, making it appear as if they are saying or doing something they never did. This is epistemically hostile as it deceives viewers, eroding trust in the authenticity of visual and auditory information. The ability to create highly convincing deepfakes challenges the reliability of visual and auditory cues, making it difficult for individuals to discern genuine content from manipulated ones. This undermines the epistemic foundation of trust and truthfulness, contributing to a hostile online environment.
- How and Why:
- Social Media Echo Chambers:
- How and Why:
Social media platforms often facilitate the formation of echo chambers, where users are predominantly exposed to information that aligns with their existing beliefs and opinions. This selective exposure limits the diversity of perspectives and information, creating a closed epistemic loop. This is epistemically hostile as it fosters confirmation bias, closed-mindedness, and a lack of exposure to alternative viewpoints. Users within echo chambers may become entrenched in their beliefs without critically evaluating opposing ideas, hindering the development of well-rounded and informed perspectives. The insular nature of these echo chambers contributes to a polarized and intellectually closed online environment.
- How and Why:
Describe two possible correctives to our epistemic practices when dealing with the hostile phenomena you described in the example
- Media Literacy Education:
Implementing comprehensive media literacy education programs can be a crucial corrective measure. These programs should equip individuals with the skills to critically evaluate information sources, discern between reliable and unreliable content, and identify common techniques used in misinformation, such as deepfakes. By enhancing the public’s media literacy, individuals can develop a more discerning and critical approach to the information they encounter online, reducing the impact of epistemically hostile phenomena. - Algorithmic Transparency and Regulation:
Addressing the issue of social media echo chambers and algorithmic biases requires increased transparency and regulation of online platforms. Implementing policies that promote transparency in algorithms and recommendation systems can help mitigate the formation of echo chambers. Additionally, regulatory measures can ensure that platforms prioritize diverse content and present users with a balanced range of perspectives. By holding online platforms accountable for the impact of their algorithms on information dissemination, these corrective measures can contribute to a more open and diverse epistemic environment.
“Our frequent and everyday relying on testimony is guided and supported by social norms.”
Explain what this means
A lot of our knowledge is testimonia, meaning it is acquired by listening to information that is conveyed to you by other people. Testimony can be spoken, written, gestured, recorded, drawn, etc. Socia and moral norms govern our testimonial practice. We hold each other accountable. We expect others to trust our testimony (and vice-versa). People are expected to feel embarrassed if their testimony is found to be wrong. We are usually in the right when blaming others for giving false testimony. Outrage is warranted if testifier intentionally misleads. These norms give us some comfort about relying on people’s testimony.
“Our frequent and everyday relying on testimony is guided and supported by social norms.” Explain why testimony online might not be subject to the same social norms.
Testimony online may not be subject to the same social norms as in face-to-face interactions for several reasons:
- Anonymity and Pseudonymity:
- Reduced Social Cues
- Information Overload and Desensitization
- Echo Chambers and Confirmation Bias
- Limited Real-world Consequences
Testimony online may diverge from traditional social norms due to factors such as anonymity, reduced social cues, information overload, and the prevalence of echo chambers. Anonymity and pseudonymity diminish personal accountability, while the absence of physical presence and social cues reduces the perceived consequences of spreading misinformation. The sheer volume of online information and the prevalence of like-minded communities can desensitize individuals to the importance of truthfulness. Additionally, the limited real-world consequences in digital interactions may lead to a lower sense of accountability for the accuracy of online testimony compared to face-to-face interactions. These factors collectively create an environment where social norms governing truthful testimony may have less sway online.
Explain what (local) reductionism and anti-reductionism respectively say about the trustworthiness of testimony.
(Local) Reductionist:
To trust a person’s testimony, we must have no reason to doubt the testimony and independent (non-testimonally based) positive reason e.g. perception, memory, inference. Testimonial justification can always be reduced to something else than testimony itself. There are different degrees of reductionism – global reductionism and local reductionism.
Global reductionism is finding reason why testimony in general is trustworthy to be able to state that it is trustworthy e.g. Testimony is reliable because people tend to tell the truth. Thus, believe your friend
Local reductionism explains that you must have reasons to trust particular testimony in order to call it trustworthy. E.g. Your friend is a good person, has never lied to you and has studies physics. Thus, believe your friend.
Anti-reductionist:
Believing testimony is justified by the mere fact of being the speech act of testimony. Someone asserts something, so they say it because they believe it and want you to believe it. Unless there is explicit reason to doubt a person’s testimony, you can accept it. No extra positive reasons are necessary.
They see testimony as just as basic as other epistemic sources like perception, inductive inference and memory.
What are possible reasons against taking an anti-reductionist stance towards internet testimony?
The possible problem we could encounter in taking the anti-reductionist stance is gullibility, meaning you are easily persuaded that something is real or true. In the internet sphere, it is questionable to have no reasons not to trust a random and anonymous blogger. Real-life social norms do not count (because of anonymity: no repercussions. Answers are not necessarily given based on truthfulness, but on popularity/entertainment. Algorithms favor showing what you already believe/what most people like/… Answers are also not necessarily given by Individual: sometimes community or non-human AI. Also the constant updating of our online literacy is needed, due to new technologies, memes, etc.
What problems are related to taking a (local) reductionist stance towards internet testimony?
The problems related to reductionism stance towards internet testimony are that there might be too high of a demand on info-checker, too high of a epistemic standard. Too much work and there is still the question we can truly trust anything. We oftentimes don’t know the source of information online or who the author is. We are usually given what we ourselves already believe (bias makes “checking” harder). There is also the issue of defining actually good, positive credibility markers.
On the exam, you might be given a specific description of information found online, and be asked to evaluate this information from a (local) reductionist/anti-reductionist perspective.
Local Reductionist Evaluation:
Look for Independent Reasons:
- Assess whether the information provides independent, non-testimonally based positive reasons for trust (e.g., factual evidence, expert opinions).
Examine Specific Testimonial Justification:
- Evaluate if the justification for trusting the online information can be broken down into specific reasons, such as the credibility of the source or supporting evidence.
Consider Degrees of Reductionism:
- Determine whether the evaluation falls under local reductionism by focusing on particular reasons to trust the information rather than a general assessment of testimony as reliable.
Local Anti-Reductionist Evaluation:
Inherent Justification:
- Assess whether the information is justified by the act of assertion itself, without the need for extra positive reasons.
Examine the Role of Doubt:
- Consider whether there are explicit reasons to doubt the information and whether these doubts are necessary for rejecting or accepting the testimony.
Equivalence to Other Epistemic Sources:
- Evaluate if the online information is treated as inherently trustworthy, similar to other basic epistemic sources like perception and memory.