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Author Information: Claus-Christian Carbon, University of Bamberg,

Carbon, Claus-Christian. “A Conspiracy Theory is Not a Theory About a Conspiracy.” Social Epistemology Review and Reply Collective 7, no. 6 (2018): 22-25.

The pdf of the article gives specific page references. Shortlink:

See also:

  • Dentith, Matthew R. X. “Expertise and Conspiracy Theories.” Social Epistemology 32, no. 3 (2018), 196-208.

The power, creation, imagery, and proliferation of conspiracy theories are fascinating avenues to explore in the construction of public knowledge and the manipulation of the public for nefarious purposes. Their role in constituting our pop cultural imaginary and as central images in political propaganda are fertile ground for research.
Image by Neil Moralee via Flickr / Creative Commons


The simplest and most natural definition of a conspiracy theory is a theory about a conspiracy. Although this definition seems appealing due to its simplicity and straightforwardness, the problem is that most narratives about conspiracies do not fulfill the necessary requirements of being a theory. In everyday speech, mere descriptions, explanations, or even beliefs are often termed as “theories”—such repeated usage of this technical term is not useful in the context of scientific activities.

Here, a theory does not aim to explain one specific event in time, e.g. the moon landing of 1969 or the assassination of President Kennedy in 1963, but aims at explaining a phenomenon on a very general level; e.g. that things with mass as such gravitate toward one another—independently of the specific natures of such entities. Such an epistemological status is rarely achieved by conspiracy theories, especially the ones about specific events in time. Even more general claims that so-called chemtrails (i.e. long-lasting condensation trails) are initiated by omnipotent organizations across the planet, across time zones and altitudes, is at most a hypothesis – a rather narrow one – that specifically addresses one phenomenon but lacks the capability to make predictions about other phenomena.

Narratives that Shape Our Minds

So-called conspiracy theories have had a great impact on human history, on the social interaction between groups, the attitude towards minorities, and the trust in state institutions. There is very good reason to include “conspiracy theories” into the canon of influential narratives and so it is just logical to direct a lot of scientific effort into explaining and understand how they operate, how people believe in them and how humans pile up knowledge on the basis of these narratives.

A short view on publications registered by Clarivate Analytics’ Web of Science documents 605 records with “conspiracy theories” as the topic (effective date 7 May 2018). These contributions were mostly covered by psychological (n=91) and political (n=70) science articles, with a steep increase in recent years from about 2013 on, probably due to a special issue (“Research Topic”) in the journal Frontiers of Psychology organized in the years 2012 and 2013 by Viren Swami and Christopher Charles French.

As we have repeatedly argued (e.g., Raab, Carbon, & Muth, 2017), conspiracy theories are a very common phenomenon. Most people believe in at least some of them (Goertzel, 1994), which already indicates that believers in them do not belong to a minority group, but that it is more or less the conditio humana to include such narratives in the everyday belief system.

So first of all, we can state that most of such beliefs are neither pathological nor rare (see Raab, Ortlieb, Guthmann, Auer, & Carbon, 2013), but are largely caused by “good”[1] narratives triggered by context factors (Sapountzis & Condor, 2013) such as a distrusted society. The wide acceptance of many conspiracy theories can further explained by adaptation effects that bias the standard beliefs (Raab, Auer, Ortlieb, & Carbon, 2013). This view is not undisputed, as many authors identify specific pathological personality traits such as paranoia (Grzesiak-Feldman & Ejsmont, 2008; Pipes, 1997) which cause, enable or at least proliferate the belief in conspiracy theories.

In fact, in science we mostly encounter the pathological and pejorative view on conspiracy theories and their believers. This negative connotation, and hence the prejudice toward conspiracy theories, makes it hard to solidly test the stated facts, ideas or relationships proposed by such explanatory structures (Rankin, 2017). As especially conspiracy theories of so-called “type I” – where authorities (“the system”) are blamed of conspiracies (Wagner-Egger & Bangerter, 2007)—, such a prejudice can potentially jeopardize the democratic system (Bale, 2007).

Some of the conspiracies which are described in conspiracy theories that are taking place at top state levels could indeed be threatening people’s freedom, democracy and even people’s lives, especially if they turned out to be “true” (e.g. the case of the whistleblower and previously alleged conspiracist Edward Snowden, see Van Puyvelde, Coulthart, & Hossain, 2017).

Understanding What a Theory Genuinely Is

In the present paper, I will focus on another, yet highly important, point which is hardly addressed at all: Is the term “conspiracy theories” an adequate term at all? In fact, the suggestion of a conspiracy theory being a “theory about a conspiracy” (Dentith, 2014, p.30) is indeed the simplest and seemingly most straightforward definition of “conspiracy theory”. Although appealing and allegedly logical, the term conspiracy theory as such is ill-defined. Actually a “conspiracy theory” refers to a narrative which attributes an event to a group of conspirators. As such it is clear that it is justified to associate such a narrative with the term “conspiracy”, but does a conspiracy theory has the epistemological status of a theory?

The simplest definition of a “theory” is that it represents a bundle of hypotheses which can explain a wide range of phenomena. Theories have to integrate the contained hypotheses is a concise, coherent, and systematic way. They have to go beyond the mere piling up of several statements or unlinked hypotheses. The application of theories allows events or entities which are not explicitly described in the sum of the hypotheses to be generalized and hence to be predicted.

For instance, one of the most influential physical theories, the theory of special relativity (German original description “Zur Elektrodynamik bewegter Körper”), contains two hypotheses (Einstein, 1905) on whose basis in addition to already existing theories, we can predict important issues which are not explicitly stated in the theory. Most are well aware that mass and energy are equivalent. Whether we are analyzing the energy of a tossed ball or a static car, we can use the very same theory. Whether the ball is red or whether it is a blue ball thrown by Napoleon Bonaparte does not matter—we just need to refer to the mass of the ball, in fact we are only interested in the mass as such; the ball does not play a role anymore. Other theories show similar predictive power: for instance, they can predict (more or less precisely) events in the future, the location of various types of material in a magnetic field or the trajectory of objects of different speed due to gravitational power.

Most conspiracy theories, however, refer to one single historical event. Looking through the “most enduring conspiracy theories” compiled in 2009 by TIME magazine on the 40th anniversary of the moon landing, it is instantly clear that they have explanatory power for just the specific events on which they are based, e.g. the “JFK assassination” in 1963, the “9/11 cover-up” in 2001, the “moon landings were faked” idea from 1969 or the “Paul is dead” storyline about Paul McCartney’s alleged secret death in 1966. In fact, such theories are just singular explanations, mostly ignoring counter-facts, alternative explanations and already given replies (Votsis, 2004).

But what, then, is the epistemological status of such narratives? Clearly, they aim to explain – and sometimes the explanations are indeed compelling, even coherent. What they mostly cannot demonstrate, though, is the ability to predict other events in other contexts. If these narratives belong to this class of explanatory stories, we should be less liberal in calling them “theories”. Unfortunately, it was Karl Popper himself who coined the term “conspiracy theory” in the 1940s (Popper, 1949)—the same Popper who was advocating very strict criteria for scientific theories and in so became one of the most influential philosophers of science (Suppe, 1977). This imprecise terminology diluted the genuine meaning of (scientific) theories.

Stay Rigorous

From a language pragmatics perspective, it seems odd to abandon the term conspiracy theory as it is a widely introduced and frequently used term in everyday language around the globe. Substitutions like conspiracy narratives, conspiracy stories or conspiracy explanations would fit much better, but acceptance of such terms might be quite low. Nevertheless, we should at least bear in mind that most narratives of this kind cannot qualify as theories and so cannot lead to a wider research program; although their contents and implications are often far-reaching, potentially important for society and hence, in some cases, also worthy of checking.

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Bale, J. M. (2007). Political paranoia v. political realism: on distinguishing between bogus conspiracy theories and genuine conspiratorial politics. Patterns of Prejudice, 41(1), 45-60. doi:10.1080/00313220601118751

Dentith, M. R. X. (2014). The philosophy of conspiracy theories. New York: Palgrave.

Einstein, A. (1905). Zur Elektrodynamik bewegter Körper [On the electrodynamics of moving bodies]. Annalen der Physik und Chemie, 17, 891-921.

Goertzel, T. (1994). Belief in conspiracy theories. Political Psychology, 15(4), 731-742.

Grzesiak-Feldman, M., & Ejsmont, A. (2008). Paranoia and conspiracy thinking of Jews, Arabs, Germans and russians in a Polish sample. Psychological Reports, 102(3), 884.

Pipes, D. (1997). Conspiracy: How the paranoid style flourishes and where it comes from. New York: Simon & Schuster.

Popper, K. R. (1949). Prediction and prophecy and their significance for social theory. Paper presented at the Proceedings of the Tenth International Congress of Philosophy, Amsterdam.

Raab, M. H., Auer, N., Ortlieb, S. A., & Carbon, C. C. (2013). The Sarrazin effect: The presence of absurd statements in conspiracy theories makes canonical information less plausible. Frontiers in Personality Science and Individual Differences, 4(453), 1-8.

Raab, M. H., Carbon, C. C., & Muth, C. (2017). Am Anfang war die Verschwörungstheorie [In the beginning, there was the conspiracy theory]. Berlin: Springer.

Raab, M. H., Ortlieb, S. A., Guthmann, K., Auer, N., & Carbon, C. C. (2013). Thirty shades of truth: conspiracy theories as stories of individuation, not of pathological delusion. Frontiers in Personality Science and Individual Differences, 4(406).

Rankin, J. E. (2017). The conspiracy theory meme as a tool of cultural hegemony: A critical discourse analysis. (PhD), Fielding Graduate University, Santa Barbara, CA.

Sapountzis, A., & Condor, S. (2013). Conspiracy accounts as intergroup theories: Challenging dominant understandings of social power and political legitimacy. Political Psychology. doi:10.1111/pops.12015

Suppe, F. (Ed.) (1977). The structure of scientific theories (2nd ed.). Urbana: University of Illinois Press.

Van Puyvelde, D., Coulthart, S., & Hossain, M. S. (2017). Beyond the buzzword: Big data and national security decision-making. International Affairs, 93(6), 1397-1416. doi:10.1093/ia/iix184

Votsis, I. (2004). The epistemological status of scientific theories: An investigation of the structural realist account. (PhD), London School of Economics and Political Science, London. Retrieved from Z:\PAPER\Votsis2004.pdf

Wagner-Egger, P., & Bangerter, A. (2007). The truth lies elsewhere: Correlates of belief in conspiracy theories. Revue Internationale De Psychologie Sociale-International Review of Social Psychology, 20(4), 31-61.

[1] It is important to stress that a “good narrative” in this context means “an appealing story” in which people are interested; by no means does the author want to allow confusion by suggesting the meaning as being “positive”, “proper”, “adequate” or “true”.

Author Information: Paul R. Smart, University of Southampton,

Smart, Paul R. “(Fake?) News Alert: Intellectual Virtues Required for Online Knowledge!.” Social Epistemology Review and Reply Collective 7, no. 2 (2018): 45-55.

The pdf of the article gives specific page references. Shortlink:

Please refer to:

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Richard Heersmink’s (2018) article, A virtue epistemology of the Internet: Search engines, intellectual virtues, and education, provides an important and timely analysis of the Internet from the standpoint of virtue epistemology.[1] According to Richard, the Internet is an important epistemic resource, but it is one that comes with a range of epistemic hazards. Such hazards, he suggests, motivate a consideration of the ways in which individuals should interact with the Internet.

In particular, Richard appeals to a specific branch of virtue epistemology, known as virtue responsibilism, arguing that certain kinds of cognitive trait (e.g., curiosity and open-mindedness) are useful in helping us press maximal epistemic benefit from the Internet. Given the utility of such traits, coupled with the epistemic importance of the Internet, Richard suggests that educational policy should be adapted so as to equip would-be knowers with the cognitive wherewithal to cope with the epistemic challenges thrown up by the online environment.

There is, no doubt, something right about all this. Few would disagree with the claim that a certain level of discernment and discrimination is important when it comes to the evaluation of online content. Whether such ‘virtues’ are best understood from the perspective of virtue responsibilism or virtue reliabilism is, I think, a moot point, for I suspect that in the case of both virtue responsibilism and virtue reliabilism what matters is the way in which belief-forming informational circuits are subject to active configuration by processes that may be broadly construed as metacognitive in nature (Smart, in pressa). That, however, is a minor quibble, and it is one that is of little consequence to the issues raised in Richard’s paper.

For the most part, then, I find myself in agreement with many of the assumptions that motivate the target article. I agree that the Internet is an important epistemic resource that is unprecedented in terms of its scale, scope, and accessibility. I also agree that, at the present time, the Internet is far from an epistemically safe environment, and this raises issues regarding the epistemic standing of individual Internet users. In particular, it looks unlikely that the indiscriminate selection and endorsement of online information will do much to bolster one’s epistemic credentials.

We thus encounter something of a dilemma: As an epistemic resource, the Internet stands poised to elevate our epistemic standing, but as an open and public space the Internet provides ample opportunities for our doxastic systems to be led astray. The result is that we are obliged to divide the online informational cornucopia into a treasure trove of genuine facts and a ragbag collection of ‘false facts’ and ‘fake news.’ The information superhighway, it seems, promises to expand our epistemic power and potential, but the road ahead is one that is fraught with a dizzying array of epistemic perils, problems, and pitfalls. What ought we to do in response to such a situation?

It is at this point that I suspect my own views start to diverge with those of the target article. Richard’s response to the dilemma is to focus attention on the individual agent and consider the ways in which an agent’s cognitive character can be adapted to meet the challenges of the Internet. My own approach is somewhat different. It is borne out of three kinds of doubt: doubts about the feasibility (although not the value) of virtue-oriented educational policies, doubts about the basic validity of virtue theoretic conceptions of knowledge, and doubts about whether the aforementioned dilemma is best resolved by attempting to change the agent as opposed to the environment in which the agent is embedded. As always, space is limited and life is short, so I will restrict my discussion to issues that I deem to be of greatest interest to the epistemological community.

Reliable Technology

Inasmuch as intellectual virtues are required for online knowledge—i.e., knowledge that we possess as a result of our interactions and engagements with the Internet—they are surely only part of a much  broader (and richer) story that includes details about the environment in which our cognitive systems operate. In judging the role of intellectual virtue in shielding us from the epistemic hazards of the online environment, it therefore seems important to have some understanding of the actual technologies we interact with.

This is important because it helps us understand the kinds of intellectual virtue that might be required, as well as the efficacy of specific intellectual virtues in helping us believe the truth (and thus working as virtues in the first place). Internet technologies are, of course, many and varied, and it will not be possible to assess their general relevance to epistemological debates in the present commentary. For the sake of brevity, I will therefore restrict my attention to one particular technology: blockchain.

Blockchain is perhaps best known for its role in supporting the digital cryptocurrency, Bitcoin. It provides us with a means of storing data in a secure fashion, using a combination of data encryption and data linking techniques. For present purposes, we can think of a blockchain as a connected set of data records (or data blocks), each of which contains some body of encrypted data. In the case of Bitcoin, of course, the data blocks contain data of a particular kind, namely, data pertaining to financial transactions. But this is not the only kind of data that can be stored in a blockchain. In fact, blockchains can be used to store information about pretty much anything. This includes online voting records, news reports, sensor readings, personal health records, and so on.

Once data is recorded inside a blockchain, it is very difficult to modify. In essence, the data stored within a blockchain is immutable, in the sense that it cannot be changed without ‘breaking the chain’ of data blocks, and thereby invalidating the data contained within the blockchain. This property makes blockchains of considerable epistemic significance, because it speaks to some of the issues (e.g., concerns about data tampering and malign forms of information manipulation) that are likely to animate epistemological debates in this area.

This does not mean, of course, that the information stored within a blockchain is guaranteed to be factually correct, in the sense of being true and thus yielding improvements in epistemic standing. Nevertheless, there are, I think, reasons to regard blockchain as an important technology relative to efforts to make the online environment a somewhat safer place for would-be knowers. Consider, for example, the title of the present article. Suppose that we wanted to record the fact that a person known as Paul Smart—that’s me—wrote an article with the title:

(Fake?) News Alert: Intellectual Virtues Required for Online Knowledge!

We can incorporate this particular piece of information into a blockchain using something called a cryptographic hash function, which yields a unique identifier for the block and all of its contents. In the case of the aforementioned title, the cryptographic hash (as returned by the SHA256 algorithm[2]) is:


Now suppose that someone wants to alter the title, perhaps to garner support for an alternative argumentative position. In particular, let’s suppose they want to claim that the title of the article is:

Fake News Alert: Intellectual Virtues Required for Online Knowledge!

From an orthographic perspective, of course, not much has changed. But the subtlety of the alteration is not something that can be used to cause confusion about the actual wording of the original title—the title that I intended for the present article. (Neither can it be used to cast doubt about the provenance of the paper—the fact that the author of the paper was a person called Paul Smart.) To see this, note that the hash generated for the ‘fake’ title looks nothing like the original:


It is this property that, at least in part, makes blockchains useful for recording information that might otherwise be prone to epistemically malign forms of information manipulation. Imagine, for the sake of argument, that climatological data, as recorded by globally distributed sensors, was stored in a blockchain. The immutability of such data makes it extremely difficult for anyone to manipulate the data in such a way as to confirm or deny the reality of year-on-year changes in global temperature. Neither is it easy to alter information pertaining to the provenance of existing data records, i.e., information about when, where, and how such data was generated.

None of this should delude us into thinking that blockchain technology is a panacea for Internet-related epistemic problems—it isn’t! Neither does blockchain obviate the need for agents to exercise at least some degree of intellectual virtue when it comes to the selection and evaluation of competing data streams. Nevertheless, there is, I think, something that is of crucial epistemological interest and relevance here—something that makes blockchain and other cybersecurity technologies deserving of further epistemological attention. In particular, such technologies may be seen as enhancing the epistemic safety of the online environment, and thus perhaps reducing the need for intellectual virtue.

In this sense, the epistemological analysis of Internet technologies may be best approached from some variant of modal epistemology—e.g., epistemological approaches that emphasize the modal stability of true beliefs across close possible worlds (Pritchard, 2009, chap. 2). But even if we choose to countenance an approach that appeals to issues of intellectual virtue, there is still, I suggest, a need to broaden the analytic net to include technologies that (for the time being at least) lie beyond the bounds of the individual cognitive agent.

Safety in Numbers

“From an epistemic perspective,” Richard writes, “the most salient dimension of the Internet is that it is an information space” (Heersmink, 2018, p. 5). Somewhat surprisingly, I disagree. Although it is obviously true that the Internet is an information space, it is not clear that this is its most salient feature, at least from an epistemological standpoint. In particular, there is, I suggest, a sense in which the Internet is more than just an information space. As is clear from the explosive growth in all things social—social media, social networks, social bots, and so on—the Internet functions as a social technology, yielding all manner of opportunities for people to create, share and process information in a collaborative fashion. The result, I suggest, is that we should not simply think of the Internet as an information space (although it is surely that), we should also view it as a social space.

Viewing the Internet as a social space is important because it changes the way we think about the epistemic impact of the Internet, relative to the discovery, production, representation, acquisition, processing and utilization of knowledge. Smart (in pressb), for example, suggests that some online systems function as knowledge machines, which are systems in which some form of knowledge-relevant processing is realized by a socio-technical mechanism, i.e., a mechanism whose component elements are drawn from either the social (human) or the technological realm.

An interesting feature of many of these systems is the way in which the reliability (or truth-conducive) nature of the realized process is rooted in the socio-technical nature of the underlying (realizing) mechanism. When it comes to human computation or citizen science systems, for example, user contributions are typically solicited from multiple independent users as a means of improving the reliability of specific epistemic outputs (Smart, in pressb; Smart and Shadbolt, in press; Watson and Floridi, 2018). Such insights highlight the socially-distributed character of at least some forms of online knowledge production, thereby moving us beyond the realms of individual, agent-centric analyses.

On a not altogether unrelated note, it is important to appreciate the way in which social participation can itself be used to safeguard online systems from various forms of malign intervention. One example is provided by the Google PageRank algorithm. In this case, any attempt to ‘artificially’ elevate the ranking assigned to specific contributions (e.g., a user’s website) is offset by the globally-distributed nature of the linking effort, coupled with the fact that links to a specific resource are themselves weighted by the ranking of the resource from which the link originates. This makes it difficult for any single agent to subvert the operation of the PageRank algorithm.

Even ostensibly non-social technologies can be seen to rely on the distributed and decentralized nature of the Internet. In the case of blockchain, for example, multiple elements of a peer-to-peer network participate in the computational processes that make blockchain work. In this way, the integrity of the larger system is founded on the collaborative efforts of an array of otherwise independent computational elements. And it is this that (perhaps) allows us to think of blockchain’s epistemically-desirable features as being rooted in something of a ‘social’ substrate.

All of this, I suggest, speaks in favor of an approach that moves beyond a preoccupation with the properties of individual Internet users. In particular, there seems to be considerable merit in approaching the Internet from a more socially-oriented epistemological perspective. It is easy to see the social aspects of the Internet as lying at the root of a panoply of epistemic concerns, especially when it comes to the opportunities for misinformation, deception, and manipulation. But in light of the above discussion, perhaps an alternative, more positive, take on the Internet (qua social space) starts to come into sharper focus. This is a view that highlights the way in which certain kinds of online system can work to transform a ‘vice’ into a ‘virtue,’ exploiting the social properties of the Internet for the purposes of dealing with reliability-related concerns.

Image by Dariorug via Flickr / Creative Commons


Filter Bubblicious

Search engines form one of the focal points of Richard’s analysis, and, as with previous work in this area, Richard finds at least some aspects of their operation to be highly problematic. A particular issue surfaces in respect of personalized search. Here, Richard’s analysis echoes the sentiments expressed by other epistemologists who regard personalized search algorithms as of dubious epistemic value.

In fact, I suspect the consensus that has emerged in this area fails to tell the whole story about the epistemic consequences of personalized search. Indeed, from a virtue epistemological position, I worry that epistemologists are in danger of failing to heed their own advice—prematurely converging on a particular view without proper consideration of competing positions. In my new-found role as the virtue epistemologist’s guardian angel (or should that be devil’s advocate?), I will attempt to highlight a couple of reasons why I think more empirical research is required before we can say anything useful about the epistemological impact of personalized search algorithms.

My first worry is that our understanding about the extent to which search results and subsequent user behavior is affected by personalization is surprisingly poor. Consider, for example, the results of one study, which attempted to quantify the effect of personalization on search results (Hannak et al., 2013). Using an empirical approach, Hannak et al. (2013) report a demonstrable personalization effect, with 11.7% of search results exhibiting differences due to personalization. Interestingly, however, the effect of personalization appeared to be greater for search results with lower rankings; highly ranked results (i.e., those appearing at the top of a list of search results) appeared to be much less affected by personalization.

This result is interesting given the observation that college students “prefer to click on links in higher positions even when the abstracts are less relevant to the task at hand” (Heersmink, 2018, p. 6). From one perspective, of course, this tendency looks like a vice that jeopardizes the epistemic standing of the individual user. And yet, from another perspective, it looks like the preference for higher ranked search results is poised to negate (or at least reduce) the negative epistemological effects of personalized search. What we seem to have here, in essence, is a situation in which one kind of ‘intellectual vice’ (i.e., a tendency to select highly-ranked search results) is playing something of a more positive (virtuous?) role in mitigating the negative epistemological sequelae of a seemingly vicious technology (i.e., personalized search).

None of this means that the epistemic effects of personalized search are to the overall benefit of individual users; nevertheless, the aforementioned results do call for a more nuanced and empirically informed approach when considering the veritistic value of search engines, as well as other kinds of Internet-related technology.

A second worry relates to the scope of the epistemological analysis upon which judgements about the veritistic value of search engines are based. In this case, it is unclear whether analyses that focus their attention on individual agents are best placed to reveal the full gamut of epistemic costs and benefits associated with a particular technology, especially one that operates in the socio-technical ecology of the Internet. To help us understand this worry in a little more detail, it will be useful to introduce the notion of mandevillian intelligence (Smart, in pressc; Smart, in pressd).

Mandevillian intelligence is a specific form of collective intelligence in which the cognitive shortcomings and epistemic vices of the individual agent are seen to yield cognitive benefits and epistemic virtues at the collective or social level of analysis, e.g., at the level of collective doxastic agents (see Palermos, 2015) or socio-epistemic systems (see Goldman, 2011). According to this idea, personalized search systems may play a productive role in serving the collective cognitive good, providing a means by which individual vices (e.g., a tendency for confirmation bias) are translated into something that more closely resembles an epistemic virtue (e.g., greater cognitive coverage of a complex space of thoughts, ideas, opinions, and so on). Consider, for example, the way in which personalized search may help to focus individual attention on particular bodies of information, thereby restricting access to a larger space of ideas, opinions, and other information.

While such forms of ‘restricted access’ or ‘selective information exposure’ are unlikely to yield much in the way of an epistemic benefit for the individual agent, it is possible that by exploiting (and, indeed, accentuating!) an existing cognitive bias (e.g., confirmation bias), personalized search may work to promote cognitive diversity, helping to prevent precipitant forms of cognitive convergence (see Zollman, 2010) and assisting with the epistemically optimal division of cognitive labor (see Muldoon, 2013). This possibility reveals something of a tension in how we interpret or evaluate the veritistic value of a particular technology or epistemic practice. In particular, it seems that assessments of veritistic value may vary according to whether our epistemological gaze is directed towards individual epistemic agents or the collective ensembles in which those agents are situated.

The Necessity of Virtue

As Richard notes, virtue epistemology is characterized by a shift in emphasis, away from the traditional targets of epistemological analysis (e.g., truth, justification and belief) and towards the cognitive properties of would-be knowers. “Virtue epistemology,” Richard writes, “is less concerned with the nature of truth and more concerned with the cognitive character of agents” (Heersmink, 2018, p. 2). This is, no doubt, a refreshing change, relative to the intellectual orientation of traditional philosophical debates.

Nevertheless, I assume that virtue epistemologists still recognize the value and priority of truth when it comes to issues of epistemic evaluation. Someone who holds false beliefs is not the possessor of knowledge, and this remains the case irrespective of whatever vices and virtues the agent has. In other words, it does not matter how careful, attentive and assiduous an agent is in selecting and evaluating information, if what the agent believes is false, they simply do not know.

What seems to be important in the case of virtue epistemology is the role that intellectual virtue plays in securing the truth of an agent’s beliefs. In particular, the central feature of virtue epistemology (at least to my mind) is that the truth of an agent’s beliefs stem from the exercise of intellectual virtue. It is thus not the case that truth is unimportant (or less important) when it comes to issues of positive epistemic standing; rather, it is the role that intellectual virtue plays in establishing the truth of an agent’s beliefs. An agent is thus a bona fide knower when they believe the truth and the truth in question is attributable to some aspect of their cognitive character, specifically, a cognitive trait (virtue responsibilism) or cognitive faculty (virtue reliabilism).

What then makes something a vice or virtue seems to be tied to the reliability of token instantiations of processes that are consistent with an agent’s cognitive character. Intellectual virtues are thus “cognitive character traits that are truth-conducive and minimalise error” (Heersmink, 2018, p. 3), while intellectual vices are characterized as “cognitive character traits that are not truth-conducive and do not minimalise error” (Heersmink, 2018, p. 3). It is this feature of the intellectual virtues—the fact that they are, in general, reliable (or give rise to reliable belief-relevant processes)—that looks to be important when it comes to issues of epistemic evaluation.

So this is what I find problematic about virtue theoretic approaches to knowledge. (Note that I am not an epistemologist by training, so this will require a generous—and hopefully virtue-inspiring swig—of the ole intellectual courage.) Imagine a state-of-affairs in which the Internet was (contrary to the present state-of-affairs) a perfectly safe environment—one where the factive status of online information was guaranteed as a result of advances in cyber-security techniques and intelligent fact-checking services. Next, let us imagine that we have two individuals, Paul and Sophia, who differ with respect to their cognitive character. Paul is the least virtuous of the two, unreflectively and automatically accepting whatever the Internet tells him. Sophia is more circumspect, wary of being led astray by (the now non-existent) fake news.

Inasmuch as we see the exercise of intellectual virtue as necessary for online knowledge, it looks unlikely that poor old Paul can be said to know very much. This is because the truth of Paul’s beliefs are not the result of anything that warrants the label ‘intellectual virtue.’ Paul, of course, does have a lot of true beliefs, but the truth of these beliefs does not stem from the exercise of his intellectual virtues—if, indeed, he has any. In fact, inasmuch as there is any evidence of virtue in play here, it is probably best attributed to the technologies that work to ensure the safety of the online environment. The factive status of Paul’s beliefs thus has more to do with the reliability of the Internet than it does with the elements of his cognitive character.

But is it correct to say that Paul has no online knowledge in this situation? Personally, I do not have this intuition. In other words, in a perfectly safe environment, I can see no reason why we should restrict knowledge attributions to agents whose beliefs are true specifically as the result of intellectual virtue. My sense is that even the most unreflective of agents could be credited with knowledge in a situation where there was no possibility of them being wrong. And if that is indeed the case, then why insist that it is only the exercise of intellectual virtue that underwrites positive epistemic standing?

After all, it seems perfectly possible, to my mind, that Sophia’s epistemic caution contributes no more to the minimization of error in an epistemically benign (i.e., safe) environment than does Paul’s uncritical acceptance. (In fact, given the relative efficiency of their doxastic systems, it may very well be the case that Sophia ends up with fewer true beliefs than Paul.) It might be claimed that this case is invalidated by a failure to consider the modal stability of an agent’s beliefs relative to close possible worlds, as well as perhaps their sensitivity to counterfactual error possibilities. But given the way in which the case is characterized, I suggest that there are no close possible worlds that should worry us—the cybersecurity and fact checking technologies are, let us assume, sufficiently robust as to ensure the modal distance of those worrisome worlds.

One implication of all this is to raise doubts about the necessity of intellectual virtue, relative to our conceptual understanding of knowledge. If there are cases where intellectual virtue is not required for positive epistemic standing, then intellectual virtue cannot be a necessary condition for knowledge attribution. And if that is the case, then why should intellectual virtue form the basis of an approach that is intended to deal with the epistemic shortcomings of the (contemporary) Internet?

Part of the attraction of virtue epistemology, I suspect, is the way in which a suite of generally reliable processes are inextricably linked to the agent who is the ultimate target of epistemic evaluation. This linkage, which is established via the appeal to cognitive character, helps to ensure the portability of an agent’s truth-tracking capabilities—it helps to ensure, in other words, that wherever the agent goes their reliable truth-tracking capabilities are sure to follow.

However, in an era where our doxastic systems are more-or-less constantly plugged into a reliable and epistemically safe environment, it is not so clear that agential capabilities are relevant to epistemic standing. This, I suggest, raises doubts about the necessity of intellectual virtue in securing positive epistemic status, and it also (although this is perhaps less clear) encourages us to focus our attention on some of the engineering efforts (as opposed to agent-oriented educational programs) that might be required to make the online world an epistemically safer place.


What, then, should we make of the appeal to virtue epistemology in our attempt to deal with the  epistemic hazards of the Internet. My main concern is that the appeal to virtue epistemology (and the emphasis placed on intellectual virtue) risks an unproductive focus on individual human agents at the expense of both the technological and social features of the online world. This certainly does not rule out the relevance of virtue theoretic approaches as part of our attempt to understand the epistemic significance of the Internet, but other approaches (e.g., modal reliabilism, process reliabilism, distributed reliabilism, and systems-oriented social epistemology) also look to be important.

Personally, I remain agnostic with regard to the relevance of different epistemological approaches, although I worry about the extent to which virtue epistemology is best placed to inform policy-related decisions (e.g., those relating to education). In particular, I fear that by focusing our attention on individual agents and issues of intellectual virtue, we risk overlooking some of the socio-epistemic benefits of the Internet, denigrating a particular technology (e.g., personalized search) on account of its failure to enhance individual knowledge, while ignoring the way a technology contributes to more collective forms of epistemic success.

In concluding his thought-provoking paper on virtue epistemology and the Internet, Richard suggests that “there is an important role for educators to teach and assess [intellectual] virtues as part of formal school and university curricula, perhaps as part of critical thinking courses” (Heersmink, 2018, p. 10). I have said relatively little about this particular issue in the present paper. For what it’s worth, however, I can see no reason to object to the general idea of Internet-oriented educational policies. The only caveat, perhaps, concerns the relative emphasis that might be placed on the instillation of intellectual virtue as opposed to the inculcation of technical skills, especially those that enable future generations to make the online world a safer place.

No doubt there is room for both kinds of pedagogical program (assuming they can even be dissociated). At the very least, it seems to me that the effort to resolve a problem (i.e., engineer a safer Internet) is just as important as the effort to merely cope with it (i.e., acquire a virtuous cognitive character). But, in any case, when it comes to education and learning, we should not lose sight of the fact that the Internet is itself something that is used for educational purposes. Perhaps, then, the more important point about education and the Internet is not so much the precise details of what gets taught, so much as the issue of whether the Internet (with all its epistemic foibles) is really the best place to learn.

Contact details:


Goldman, A. I. (2011). A guide to social epistemology. In A. I. Goldman and D. Whitcomb (Eds.), Social Epistemology: Essential Readings, pp. 11–37. New York, New York, USA: Oxford University Press.

Hannak, A., P. Sapiezynski, A. Molavi Kakhki, B. Krishnamurthy, D. Lazer, A. Mislove, and C. Wilson (2013). Measuring personalization of Web search. In D. Schwabe, V. Almeida, H. Glaser, R. Baeza-Yates, and S. Moon (Eds.), Proceedings of the 22nd International Conference  on World Wide Web, Rio  de Janeiro, Brazil, pp. 527–538. ACM.

Heersmink, R. (2018). A virtue epistemology of the Internet: Search engines, intellectual virtues, and education. Social Epistemology 32 (1), 1–12.

Muldoon, R. (2013). Diversity and the division of cognitive labor. Philosophy Compass 8 (2), 117–125.

Palermos, S. O. (2015). Active externalism, virtue reliabilism and scientific knowledge. Synthese 192 (9), 2955–2986.

Pritchard, D. (2009). Knowledge. Basingstoke, England, UK: Palgrave Macmillan.

Smart, P. R. (in pressa). Emerging digital technologies: Implications for extended conceptions of cognition and knowledge. In A. J. Carter, A. Clark, J. Kallestrup, O. S. Palermos, and D. Pritchard (Eds.), Extended Epistemology. Oxford, UK: Oxford University Press.

Smart, P. R. (in pressb). Knowledge machines. The Knowledge Engineering Review.

Smart, P. R. (in pressc). Mandevillian intelligence. Synthese.

Smart, P. R. (in pressd). Mandevillian intelligence: From individual vice to collective virtue. In A. J. Carter, A. Clark, J. Kallestrup, O. S. Palermos, and D. Pritchard (Eds.), Socially Extended Epistemology. Oxford, UK: Oxford University Press.

Smart, P. R. and N. R. Shadbolt (in press). The World Wide Web. In J. Chase and D. Coady (Eds.), The Routledge Handbook of Applied Epistemology. New York, New York, USA: Routledge.

Watson, D. and L. Floridi (2018). Crowdsourced science: Sociotechnical epistemology in the e-research paradigm. Synthese 195 (2), 741–764.

Zollman, K. J. S. (2010). The epistemic benefit of transient diversity. Erkenntnis 72 (1), 17–35.

[1] This work is supported under SOCIAM: The Theory and Practice of Social Machines. The SOCIAM Project is funded by the UK Engineering and Physical Sciences Research Council (EPSRC) under grant number EP/J017728/1 and comprises the Universities of Southampton, Oxford and Edinburgh.

[2] See [accessed: 30th  January 2018].

Author Information: Simone Chambers, University of California – Irvine,

Chambers, Simone. “The Epistemic Ideal of Reason-Giving in Deliberative Democracy.” Social Epistemology Review and Reply Collective 6, no. 10 (2017): 59-64.

The pdf of the article includes specific page numbers. Shortlink:

Please refer to:

Image by Thierry Ehrman, via Flickr


As interest in deliberative democracy continues to grow, the term is becoming more umbrella-like encompassing different strands, orientations, and methodological proclivities. Helen Landemore in her essay “Beyond the Fact of Disagreement? The Epistemic Turn in Deliberative Democracy” traces one such strand. This strand has been influenced by John Rawls and begins from the fact of pluralism.  Navigating deep disagreements in a way that recognizes each person’s freedom and equality becomes the prime motivation in developing theories of deliberative democracy.

This in turn has led some to embrace a Rawlsian epistemological position of agnosticism with respect to the truth-value of moral and political claims. Epistemic abstinence then characterizes this strand of deliberative democracy.  I have no quarrel with Landemore’s description and criticism of epistemic abstinence. I have a quarrel with her claim that epistemic abstinence describes “most deliberative democrats” and such abstinence is part of the “mainstream version deliberative democracy.”[1]  In my essay I would like to trace a different strand of deliberative democracy one influenced by Jürgen Habermas’s work and which has in many ways been much more influential than Rawls.

The Heft of Deliberation

In this alternative origin story, deliberative democracy grows as a response to and criticism of two interconnected strands of democratic theory that had come to dominate certainly the empirical study of democracy but also many basic theories of democracy.  The first strand sees democracy as about the fair competition between fixed interests. Here voting is the central mechanism through which competing interests are mediated in a fair way that recognizes the equality of all citizens.

Deliberative democrats found this picture deeply inadequate on the twin grounds that it rested on an impoverished and indeed implausible view of legitimacy and two it presupposed a black box of fixed interests. Deliberative democracy shifts the focus from preference aggregation to the processes of opinion formation that precedes the vote. Aggregation often in the form of voting (and sometimes governed by majority rule) does not necessarily disappear. Whether we are talking about a citizen’s assembly, an informal public debate, a jury, everyday talk about a public issue, or a process of participatory budgeting, decision procedures are required in order to have an outcome.

But the question that motivated many deliberative democrats was how deliberation could carry the burden of democratic legitimacy in a way that aggregation could not).[2] For many theorists inspired by this alternative vision of democracy, Habermas offered a rich source of helpful theoretic insights to develop this talk centered view of democracy. Theorists drew primarily from two sources. First from his work on the public sphere which suggested that the essential relationship between the public and the state should be understood in terms of rational justification and discursive accountability. And second his work in communicative action and discourse ethics that offered a procedural ideal for the conditions of justification.

Landemore suggests that until recently this endorsement of deliberative democracy did not rely on an epistemic claim about outcomes but rather on a procedural claim about equality, respect and freedom of participants.  Because deliberation (ideally anyway) requires that participants take on attitudes of respect and open mindedness towards each other’s claims and grievances it is seen as a more satisfying instantiation of equal citizenship than one person one vote. This argument according to Landemore has dominated deliberative democracy (I agree) and it has no epistemic dimension (I disagree).

Here I come to the second strand in democratic theory and research against which deliberative democracy grew. That is the elitist view of democracy that is deeply suspect of ordinary citizen’s competency. Deliberative democracy has for the most part been a champion of the epistemic competency of citizens if given the chance to deliberative with each other under positive conditions. Even deliberative democrats who focus on middle democracy rather than mass democracy claim the deliberation is valued because it enhances epistemic competency of the participants. This epistemic competency is often discussed under the ubiquitous phrase (i.e. every deliberative democrat uses this formation almost without exception) reason-giving.  Before I elaborate the epistemic import of reason-giving I want to take a small detour into epistemic democracy and what it has come to mean in contemporary debates.

What Is Epistemic Democracy?

Epistemic democracy is the view that democracy is to be valued not simply for normative reasons but also (or sometimes exclusively) because it arrives at or can arrive at the right answers. Some (but not all) theories of epistemic democracy are also theories of deliberative democracy because they identify deliberation as the mechanism through which right outcomes are produced (Estlund 2008; Landemore 2013; Mizak 2008). Are all theories of deliberative democracy also theories of epistemic democracy? I want to say that almost all theories of deliberative democracy recognize and value an epistemic function of deliberation but not all of them have focused on developing a clear procedurally-independent standard of correct outcome.

If, as Landemore appears to imply, such a procedurally-independent standard is the defining feature of an epistemic theory of democracy then perhaps it is true that David Estlund has really inaugurated a new era of deliberative theory.  But if, as I would like to argue, deliberative democracy has always had a robust procedurally-dependent epistemological view of deliberation then deliberative democracy has always been a form of epistemic democracy or if one insists that that term must be reserved for theories that have procedurally-independent standards of right outcomes, then I would say that deliberative democracy has always valued democracy on epistemic as well as normative grounds.

The sine qua non of deliberation is reason-giving.  Now Landemore suggest that in early deliberative democracy reason-giving was tied to treating co-citizens with respect.  We each deserve justification for coercion or claims we make on each other. But there was always more to reason-giving than equal respect. Certainly its agonist and postmodern critics have always thought of deliberative democracy as containing over blown claims to rationality and reason. But what is the epistemic status of the ubiquitous reason-giving?

Landemore suggests that there are two minimum requirements in order to be able to talk about epistemic democracy. The first is to accept that political and normative questions are open to rational adjudication. She does not insist on a very high bar here. Accepting that there are “better or worse answers to at least some political questions” (290) is enough. The second is to accept that democratic procedures are a good way to generate that adjudication.

Both of these dimensions are explicitly present in Habermas’s work and both are explicitly or implicitly present in deliberative democracy theories that have been influenced by Habermas ideal of discourse. But, as I argue below, these dimensions can be present without a procedurally-independent standard of correct outcome. How do we know if the answers are better or worse? For public disputes that are predominantly normative, the Habermasian answer is to look to see to what extent the conditions of justification have been met in democratic procedures.

Its Roots in Habermas

People often note that Habermas’s discourse theory insists on a strong analogy between truth claims and normative claims of rightness. When reading Habermas as containing strong epistemic claims (as Landemore does) it is sometimes common to mistake analogy with identity. Landemore for example says that the distinction between truth and rightness is “purely semantic.” (285). But this is not entirely correct. In respect to truth Habermas makes a distinction between what the truth is (say correspondence) and how we arrive at the truth (discourse). No such distinction is possible with regard to normative questions. Therefore for Habermas there are procedurally-independent standards of truth but no procedurally-independent standards of rightness even though both truth and rightness are ‘established’ through discourse and as such open to rational adjudication.  Decisions facing a democratic polity will contain both elements.

The more a policy dispute centers on facts or established knowledge, the more it is truth apt.  Thus when Habermas talks about democracy’s truth-tracking potential he has procedurally-independent standards in mind which is why he appeals to empirical evidence to assess whether citizens have basic knowledge, are likely to get the science right, or make basic errors in judgements (2006 414).  But here too Rawls is not agnostic nor does he advocate abstinence.  Rawls suggests that public reason rely on established truth of science and common sense for example (2005 223-227).  Rawls’s abstinence enters when we turn to deep moral and normative questions.  Here Rawls insists that, on the one hand, participants in debate exercise self-restraint and refrain from claiming truth or objective status for their normative positions and, on the other hand, no strong truth claim should be made regarding the outcomes of public justification.

Habermas makes neither of these claims.  Citizens can bring up any and all claims certainly in the broad public sphere.[3] Furthermore, Habermas thinks that properly structured democracies will be able to claim a rational status, fallible and corrigible to be sure, for outcomes. But the epistemic claim tied to normative rightness is a procedural not a procedurally-independent claim.  Now Landemore might say that any claim that outcomes are better is a procedurally-independent standard even if the assessment is exclusively tied to whether the procedures are good. Outcomes are not procedures; to value outcomes is to value something more than mere procedure.

But if this is what she means then she is operating with a very narrow view of procedural theory in which democracy is valued for entirely outcome-independent reasons. On this reading of proceduralism then democracy might very well fair poorly on all epistemic measures but that is not why one endorses democracy; one endorses it because it treats people equally not because it arrives at better outcomes. But ‘procedurally-independent standard of correct outcome” implies that there is a standard that is independent of the procedure not just that we value outcome and not just procedure.  It is this idea of independent standard that Habermas has explicitly questioned in his procedural theory of democracy and which as a result was never been a focus of the epistemic claims inherent in deliberative democracy from the beginning.

There are two reasons why Habermas’s strong epistemic claims about discourse are procedural claims. The first is that Habermas’s epistemology is parasitic on his linguistic theory that reconstructs the conditions of justification. Rational outcomes are the outcomes that would be justified in a discourse of all those affected.  But no thought experiment can produce this outcome independently. So we are thrown back on trying to approximate the procedural conditions of justification: “The unity of a completely proceduralized reason then retreats into the discursive structure of public communication” (1996, 186). But there is a second and I think more interesting reason why procedures and not outcomes are the focus of epistemic assessment.

Habermas is fully committed to the idea that democracy if properly structured results in better, more epistemically sound, and more rational outcomes than other regime types.  But he often sees epistemic gains in the long term using the language of “learning” for example. Whereas Rawls thought we should exercise self-restraint for the sake of getting along under conditions of pluralism, Habermas sees unrestrained pluralism under democratic rules as the condition for epistemic advancement. The wild and anarchic nature of the informal public sphere allows for new claims to emerge, hidden injustices to be unmasked, received truth to be questioned, and new forms of political participation to be tested. This lack of Rawlsian restraint plays an important discursive and epistemic function by holding out the possibility of learning, revision, correction, and change through criticism of and opposition to stands taken and claims made especially by those who rule. This is a Kantian/pragmatist view of the way reason works: epistemic gains come through public criticism and demands for rational justification.

A Tradition of Reason

Few deliberative democrats have adopted the full Habermasian discourse theoretic edifice of his political theory. But many have embraced the Habermasian intuition that giving each other reasons, listening to each other’s claims, and being committed to collective problem solving, leads to improved epistemic competence and better outcomes. Not just better in the sense that the outcomes are more legitimate but also better because outcomes are more in line with reason.

Here we see the Kantian idea that reason arrives at the right answers through criticism, argument and persuasion. In a very famous passage from The Critique of Pure Reason Kant says: “Reason must subject itself to critique in all its undertakings, and cannot restrict the freedom of critique through any prohibition…The very existence of reason depends upon this freedom, which has no dictatorial authority, but whose claim is never anything more than the agreement of free citizens, each of whom must be able to express his reservations, indeed even veto, without holding back” (Kant 1998, p. 643 [A738/B767]).

This view is echoed in Mill as well as Dewey and has been, I would argue, a central aspirational ideal of deliberative democracy from its inception. But it is an ideal that resides in the process of reason-giving and in maintaining the procedural conditions conducive to that reason-giving. Thus the evaluation of the epistemic value of the outcome will be invested in how well the procedures approximate good procedures.

I have tried to make two arguments. The first is that because reason-giving has been at the center of deliberative democracy from the start and because many theorists of deliberative democracy have been influenced by Habermas in thinking about how reason-giving works, there has always been an epistemic dimension to deliberative democracy. The second argument I have made is that criterion of procedurally-independent standard of correct outcome is not the best way to conceptualize that epistemic dimension of much of deliberative democracy because so much of that dimension is invested in good procedures.

Contact details:


Bohman, J. “Survey Article: The Coming Age of Deliberative Democracy”. The Journal of Political Philosophy: 6, no. 4 (1998): 400-25.

Chambers, S. “Deliberative Democracy Theory.” Annual Review of Politics 6 (2003): 307-26.

Estlund, D. Democratic Authority: A Philosophical Framework. Princeton, NJ: Princeton University Press, 2008.

Elstub, Stephen and McLaverty. Deliberative Democracy: Issues and Cases. Edinburgh: Edinburgh University Press, 2014.

Habermas, J. Between Facts and Norms. Contributions to a Discourse Theory of Law and Democracy, translated by William Rheg, Cambridge: MIT Press, 1996.

Habermas, J. “Political communication in media society: does democracy still enjoy an epistemic dimension? The impact of normative theory on empirical research.” Communication Theory 16 (2006): 411-426.

Habermas, J. Between Naturalism and Religion, translated by Ciaran Cronin, Cambridge: MIT Press, 2008.

Kant, I. Critique of Pure Reason. The Cambridge Edition of the Works of Immanuel Kant, eds. Paul Guyer and Allen W. Wood. Cambridge, UK: Cambridge University Press, 1998.

Landemore, H. Democratic Reason: Politics, Collective Intelligence and the Rule of the Many. Princeton, NJ: Princeton University Press, 2013.

Manin, B. “On Legitimacy and Political Deliberation.” The Journal of Political Philosophy 15, no. 3 (2016): 338-368.

Mizak, C.J. “A Culture of Justification: The Pragmatist’s Epistemic Argument for Democracy.” Episteme (2008): 94-105

Rawls, J. Political Liberalism. Expanded Edition. New York, NY: Columbia University Press, 2005.


[1] Gutmann and Thompson, a central exemplar for Landemore, are indeed very mainstream and do follow Rawls in some form of abstinence.  But I would not call Jeremy Waldron, a second example appealed to by Landemore, a deliberative democrat at all precisely because he objects to some epistemic assumptions of most deliberative democracy theory and also because he has more faith in majority voting than deliberation.

[2] See Bernard Manin (1987) for an early articulation of this view. But the contrast with aggregative pictures of democracy can be found in almost all the “narratives” of deliberative democracy. (Bohman 19989; Chambers 2003; Elstub and McLaverty 2014).

[3] While it is true that Habermas insists that religious claims should be excluded from debates in Parliament, this is not a form epistemic abstinence.  On the contrary, religious claims are excluded because Habermas wants to make a strong epistemic claim about the discursive process and such a claims would be undermined, he thinks, if religious claims were allowed to enter the debate (Habermas 2008).

Author Information: Richard W. Moodey, Gannon University,

Moodey, Richard W. “Models of Face-to-Face Interaction and the Epistemic Significance of Other Minds.” Social Epistemology Review and Reply Collective 3, no. 7 (2014): 19-28.

The PDF of the article gives specific page numbers. Shortlink:

Please refer to:

Steve Fuller attacked ‘analytic social epistemology’ in 2012, and in 2013 Sanford Goldberg counter-attacked. Goldberg also prescribes a way of moving beyond the kind of conflicts exemplified by his exchange with Fuller. He says that social epistemologists should study the epistemic significance of other minds. I argue that constructing models of face-to-face interaction, specifically, models of cooperation, competition, and conflict, can be useful in implementing Goldberg’s prescription. Such models can help generate the propositions that must be the result of systematic study of a topic. I modify Goldberg’s image of epistemic communities as a result of including competition and conflict, as well as cooperation among the members.

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