Many people think that producing online pornography, such as creating sexual content at OnlyFans, is permissible. Many of the same people also think that creating deepfake pornography without or against the consent of the person is wrong. I argue that accepting online sex work is inconsistent with judging pornographic deepfakes as worse than non-pornographic deepfakes. This claim resembles similarity with a broader problem in sexual ethics raised by David Benatar. I apply Benatar’s argument in the context of online sexual activities (...) to highlight the ethical issues recent technological developments raise. I do this neither as a case against the permissibility of online sex work nor as a defense of pornographic deep fakes. The purpose is to point out the inconsistency. One could avoid the problem by extending or limiting the range of permissible sexual practices online. But if I am right, we cannot both accept OnlyFans and condemn non-consensual pornographic deep fakes. (shrink)

A novel deep learning architecture for deepfake detection was proposed that combines LSTM and CNN methods, implemented using Python on the Kaggle platform. The model was evaluated using two datasets: DFDC and Ciplab. Dataset preprocessing involved 19,148 real images and an equal number of fake images, with 80% allocated for training using 128 × 128 image sizes. Binary cross-entropy function 5.4 was used to calculate error rates during training iterations. The results demonstrated high accuracy rates of 97.32% and (...) 98.24%, with low error rates of 0.15% and 0.26% for the respective datasets. These results confirm the model's adaptability for accurate deepfake prediction. The effectiveness stems from the complementary strengths of both approaches: LSTMs effectively capture sequential temporal dependencies between frames to identify deepfake inconsistencies, while CNNs evaluate frame content to detect visual artifacts, inconsistencies, or unusual patterns indicating manipulation. The hybrid approach leverages the strengths of both methods, resulting in a more efficient and effective model capable of adapting to various deepfake generation techniques. By combining temporal analysis capabilities of LSTMs with the spatial feature extraction abilities of CNNs, the architecture achieves a more comprehensive deepfake detection system. (shrink)

Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. (...) Deep learning is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (shrink)

The ever-evolving ways attacker continues to improve their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to researchers in both industry and academia research due to the inability of current approaches to detect complex phishing attack. Thus, current anti-phishing methods remain vulnerable to complex phishing because of the increasingly sophistication tactics adopted by attacker coupled with the rate at which new tactics are being developed to evade detection. In this research, we proposed an adaptable (...) framework that combines Deep learning and Randon Forest to read images, synthesize speech from deep-fake videos, and natural language processing at various predictions layered to significantly increase the performance of machine learning models for phishing attack detection. (shrink)

Deep fakes, a technology enabling the creation of highly realistic fake images and videos through face-swapping, have sparked significant attention due to their potential for misuse. This paper explores the technologies behind deep fakes and categorizes them into four types: deep fake pornography, political campaigns, commercial uses, and creative content. The authors discuss the ethical and regulatory challenges associated with each category. Initially, deep fakes were used maliciously, such as in revenge porn and political (...) manipulation, which led to widespread fear. However, like many technologies before it, deep fakes may eventually become more widely accepted. The paper also examines the role of online platforms and governments in addressing these issues and offers an optimistic view of how the democratization of AI might help resolve the ethical concerns surrounding deep fakes. -/- . (shrink)

With the exponential growth of online social networks, now boasting over 4 billion active users, maintaining data integrity and ensuring user security has become increasingly challenging. Social media platforms face numerous security threats, including the creation of fake profiles by malicious users seeking to steal sensitive information, spread misinformation, or engage in fraudulent activities. Due to the anonymity afforded by these platforms, detecting such deceptive accounts manually is both difficult and inefficient. This project focuses on the detection of (...) class='Hi'>fake profiles using machine learning and deep learning techniques, trained on platform-specific datasets to improve accuracy. A web-based application has been developed featuring four core modules, each dedicated to a major social media platform experiencing rapid user growth. Each module integrates a trained model to assess and classify user profiles as real or fake. Currently, the system has been implemented for Instagram, with plans to expand to other platforms. This approach aims to provide a scalable and intelligent solution to enhance user trust and safety across social media environments. (shrink)

Social networking platforms play a vital role in global communication, but they are increasingly vulnerable to security threats due to the presence of fake profiles. Fraudulent accounts are often created for misinformation, cyber fraud, identity theft, cyberbullying, and unauthorized data harvesting, compromising user privacy and damaging the credibility of social media platforms. While existing security systems, such as Facebook's Immune System (FIS), attempt to detect fake accounts, they struggle against sophisticated fraudulent profiles. Traditional detection methods primarily rely on (...) static user data, making them less effective. To improve accuracy and efficiency, this study proposes an advanced machine learning (ML) and natural language processing (NLP)-based approach for fake account detection. The system analyzes both static and dynamic behavioral patterns to distinguish between real and fake accounts. NLP techniques, including tokenization, stemming, and stop-word removal, are applied to examine user-generated text, identifying inconsistencies and unnatural patterns commonly found in fake profiles. The study utilizes datasets from social media platforms like Instagram for training and evaluation. Performance is measured using metrics such as the confusion matrix, correlation heatmap, and classification reports. Results indicate that ML and NLP techniques significantly enhance fake profile detection accuracy compared to traditional methods. By leveraging AI-driven solutions, the system strengthens social media security, prevents misinformation, and protects users from fraudulent activities. Future work can focus on deep learning techniques, dataset expansion, and real-time detection to further improve accuracy and adaptability in fake profile detection. (shrink)

In this paper, a particular case of deceptive use of images – namely, misattributions – will be taken in consideration. An explicitly wrong attribution (“This is a picture of the event X”, this not being the case) is obviously a lie or a mistaken description. But there are less straightforward and more insidious cases in which a false attribution is held to be acceptable, in particular when pictures are also used in their exemplary, general meaning, opposed to their indexical function (...) in referring to a specific event. In fact, the boundary between referential use and symbolic-exemplificative use is not always clear-cut, and it often becomes the subject of ideological dispute. The main point that this paper would like to do is that in some circumstances there is a deep-seated belief that images that are clearly misattributed could still be legitimately used to refer to the fact, even if this is not the case. This twisted epistemological stance, that I will summarize under the oxymoronic concept of “emblematic evidence”, is both the product of political and tribal polarization in the ideological debate, and the result of a shift in our understanding of what photographic images should do. (shrink)

Deep fakes, a technology enabling the creation of highly realistic fake images and videos through face-swapping, have sparked significant attention due to their potential for misuse. This paper explores the technologies behind deep fakes and categorizes them into four types: deep fake pornography, political campaigns, commercial uses, and creative content. The authors discuss the ethical and regulatory challenges associated with each category. Initially, deep fakes were used maliciously, such as in revenge porn and political (...) manipulation, which led to widespread fear. However, like many technologies before it, deep fakes may eventually become more widely accepted. The paper also examines the role of online platforms and governments in addressing these issues and offers an optimistic view of how the democratization of AI might help resolve the ethical concerns surrounding deep fakes. (shrink)

In this paper we concur with Alfred North Whitehead that education with inert ideas is harmful and useless to the student and the society at large. Inert ideas constitute dead knowledge, that is, knowledge that does not relate to one’s day-to-day experiences nor to knowledge gained from other disciplines. Knowledge acquired by students should have an impact on their lived existential situatedness and it should have a link or correlation with knowledge gained from other disciplines. How do we avoid inert (...) ideas in education? Whitehead admonishes us to keep knowledge alive. This, to him, is the central problem of education. We argue in this paper that in an age dominated by fake news, alternative facts and deep fakes, critical thinking and self-examination are no longer options in the process of education. Thus, the traditional banking system of education is outmoded and should be replaced by the cultivation of critical thinking skills in the child. To do this we must take seriously Whitehead’s two commandments of education; the rhythm of education which implies giving the child knowledge appropriate to their age; and the trilogy of freedom-discipline-freedom. (shrink)

In recent years, a number of philosophers have turned their attention to developments in Artificial Intelligence, and in particular to deepfakes. A deepfake is a portmanteau of ‘deep learning' and ‘fake', and for the most part they are videos which depict people doing and saying things they never did. As a result, much of the emerging literature on deepfakes has turned on questions of trust, harms, and information-sharing. In this paper, I add to the emerging concerns around deepfakes (...) by drawing on resources from vice epistemology. As deepfakes become more sophisticated, I claim, they will develop to be a source of online epistemic corruption. More specifically, they will encourage consumers of digital online media to cultivate and manifest various epistemic vices. My immediate focus in this paper is on their propensity to encourage the development of what I call ‘intellectual cynicism'. After sketching a rough account of this epistemic vice, I go on to suggest that we can partially offset such cynicism – and fears around deceptive online media more generally – by encouraging the development what I term a trained ‘digital sensibility'. This, I contend, involves a calibrated sensitivity to the epistemic merits of online content. (shrink)

The design process in Kashmiri carpet weaving is distributed over a number of actors and artifacts and is mediated by a weaving notation called talim. The script encodes entire design in practice-specific symbols. This encoded script is decoded and interpreted via design-specific conventions by weavers to weave the design embedded in it. The cognitive properties of this notational system are described in the paper employing cognitive dimensions (CDs) framework of Green (People and computers, Cambridge University Press, Cambridge, 1989) and Blackwell (...) et al. (Cognitive technology: instruments of mind—CT 2001, LNAI 2117, Springer, Berlin, 2001). After introduction to the practice, the design process is described in ‘The design process’ section which includes coding and decoding of talim. In ‘Cognitive dimensions of talim’ section, after briefly discussing CDs framework, the specific cognitive dimensions possessed by talim are described in detail. (shrink)

The integration of Artificial Intelligence (AI) with Virtual Reality (VR) and Augmented Reality (AR) is revolutionizing interactive technology, making it more immersive, adaptive, and personalized. This paper explores the potential of AI in generating virtual and augmented experiences, discussing its applications in various industries such as gaming, education, healthcare, and retail. AI algorithms enhance user experiences through intelligent interactions, procedural content generation, and real-time environmental adaptation. The study also examines the challenges and ethical considerations in AI-driven AR and VR environments, (...) alongside the future prospects of these technologies. (shrink)

We present a geometric framework for holonomic quantum computing in which quantum gates arise from global properties of control manifolds rather than fine-tuned dynamical evolution. Quantum states are modeled as complex projective fibers over a classical control manifold, and adiabatic loops induce unitary gates through Berry and Wilczek-Zee holonomy. Within this setting, we introduce Quantum Inner State Manifolds (QISMs) as symplectic fiber bundles equipped with a natural unitary connection governed by the Fubini-Study form. Using the Ambrose-Singer theorem, we show that (...) generic QISMs generate holonomy groups dense in U(N), establishing universality. Fault tolerance emerges from global geometric features, providing a robust geometric foundation for quantum gate design. (shrink)

We present a geometric framework for holonomic quantum computing in which quantum gates arise from global properties of control manifolds rather than fine-tuned dynamical evolution. Quantum states are modeled as complex projective fibers over a classical control manifold, and adiabatic loops induce unitary gates through Berry and Wilczek-Zee holonomy. Within this setting, we introduce Quantum Inner State Manifolds (QISMs) as symplectic fiber bundles equipped with a natural unitary connection governed by the Fubini-Study form. Using the Ambrose--Singer theorem, we show that (...) generic QISMs generate holonomy groups dense in U(N), establishing universality. Fault tolerance emerges from global geometric features, providing a robust geometric foundation for quantum gate design. (shrink)

The increasing demand for portable, cost-effective, and energy-efficient computing solutions has led to the development of compact mini computers. In this paper, we’ve designed and built a compact mini computer using the BusyBirds chip. The system includes a built-in power bank for better portability, an HDMI port for connecting to high-definition displays, and Bluetooth 5.0 for reliable wireless communication. It’s developed as a simple, affordable computing option for students, developers, and professionals who need a small, efficient system for different tasks. (...) The BusyBirds Chip is used as the main processing unit, offering better performance while keeping power usage low. One of the standout features of this mini computer is that, unlike regular desktops or laptops that rely on being plugged in all the time, this one can run on battery power. That makes it a handy option for working in places where there’s no easy access to electricity. The in-built power bank helps keep the system running smoothly without interruptions, which makes it especially useful for learning activities and IoT projects. Modern systems need strong connectivity options, and this setup includes both HDMI and Bluetooth 5.0 to improve usability. The HDMI output lets you connect to highquality displays, while Bluetooth 5.0 makes it simple to pair devices like a mouse, keyboard, or speakers. After testing its performance, results showed that the mini computer works as expected offering a good mix of portability, efficiency, and low cost. (shrink)

Existing studies of the multi-group dynamics of prejudiced societies focus on the social- psychological knowledge behind the relevant processes. We instead create a multi-agent framework that simulates the propagation of prejudice and measures its tangible impact on prosperity. Levels of prosperity are tracked for individuals as well as larger social structures including groups and factions. We model social interactions using the Continuous Prisoner's Dilemma (CPD) and a new agent type called a prejudiced agent. Our simulations show that even modeling prejudice (...) as an exclusively out-group phenomenon nonetheless generates implicit in-group promotion, leading to higher relative prosperity of a prejudiced population. This skew in prosperity is seen to be correlated to factors such as size difference between groups, and the fraction of prejudiced agents in a group. Our model is a step towards a deeper understanding of the origins, propagation, and ramifications of prejudice through simulative studies grounded in apt theoretical backgrounds. (shrink)

If this can be seen as a long way from the beginning of the ancient history, where humans have envisioned different new things and then invented them to make their life’s working smoother and easier, then it can be found that they have attributed their discoveries to various aspects and names of Gods and tried to signify their belief in the form of portraying the God’s powers through the nature of their discovery. Rather, in much modern times, when humans have (...) developed the natural insights and prorated those in the form of a much more logically biased discovery, then, the atheists have started to dominate the scientific arena for their foreplay in the work of their discoveries. However, as time passes by, five special types of research communities have gathered to allocate their discovered data’s in the respective norms as such, i) Atheists to whom, there is in essence no God and nothing in this universe can be attributed to them. ii) Believer of only one God as a whole, where the principle of religious biasing is effluent and supreme in their regards of the physical laws associated with the life and stimuli, iii) Believer of multiple God’s as a whole which poses no such scientific evaluation but can be thought of as a conjugate mechanism for the creator of the universe, iv) A divine supreme, where there is exactly no God, but the whole universe is a manifestation of the nature, where nature indirectly focuses the presence of God’s or the supreme creator that maintains symmetry and working of the universe, v) The not-so-sure about mechanism of the God’s presence, where the researcher sometimes tends to belief in God when something magical happens and attribute all to their divine grace, or in times of failures where they accused them for not being philosophically intrinsic as to their own needs, and in times with the believe that, ‘we won’t believe what we can’t see!’, either in the middle of the good or bad moments or in general in a casual and carefree mode. But, this should be kept in mind, that, the Eastern mysticism has always signifies God’s action in terms of every scientific actions with a proper mythological essence which when accompanied by knowledge produces something so scientific in the ancient of the days, that modern day researchers also have had no options left than to attribute affirmation to the fantastic achievements in the ‘so’ ancient times discovery with a strict modern effluence. Therefore, to model this paper, I have gathered data’s and ideas from researchers of various fields mostly (PhDs) in their respective discipline, so as to emulate their minds in the norms of God and its associated beliefs. (shrink)

This article describes various ways actors in Kashmiri carpet weaving practice deploy a range of artifacts, from symbolic, to material, to hybrid, in order to achieve diverse cognitive accomplishments in their particular task domains: information representation, inter and intra-domain communication, distribution of cognitive labor across people and time, coordination of team activities, and carrying of cultural heritage. In this repertoire, some artifacts position themselves as naïve tools in the actors’ environment to the point of being ignored; however, their usage-in-context unfolds (...) their cognitive involvement in the tasks. These usages-in-context are shown through artifact analysis of their routine, improvised, and opportunistic uses, where cognitive artifacts like talim—the central artifact of this practice—are shown to play not only multifunctional roles beyond representation, but are also complemented by trade-specific skills bearing strong cognitive implications in a task. (shrink)

The design process in Kashmiri carpet weaving is a distributed process encompassing a number of actors and artifacts. These include a designer called naqash who creates the design on graphs, and a coder called talim-guru who encodes that design in a specific notation called talim which is deciphered and interpreted by the weavers to weave the design. The technological interventions over the years have influenced these artifacts considerably and triggered major changes in the practice, from heralding profound cognitive accomplishments in (...) manually driven design process causing major alterations in the overall structure of the practice. The recent intervention is by the digital technology: on the one hand, it has brought precision and speedy processing in the design process, and on the other, it has eliminated some of the crucial actors from the practice. This paper, which forms part of a larger study on the situated and distributed cognitive process in Kashmiri carpet-weaving practice, describes the technological makeover of the design artifacts involved in this practice over the years and their resultant cognitive impact on the design process as well as on the practice. (shrink)

This paper explores the complex relationship between propositions, meaning, and context, with special reference to both Western and Indian philosophical traditions. Beginning with classical definitions of propositions as truth-bearers, it examines cases where declarative sentences fail to yield determinate truth values, such as the liar paradox, empty definite descriptions, and category mistakes. The discussion extends to context-sensitive language, metonymy, and the implications of linguistic flexibility for logical analysis. Drawing parallels with Indian philosophical doctrines—especially Advaita Vedanta, Jainism’s Anekāntavāda, and the Dvaita-Advaita (...) debate—the paper argues that reality presents itself in layered forms, and language correspondingly functions at multiple levels. Furthermore, it examines how even scientific discourse, including quantum mechanics, confronts the inadequacy of rigid logical structures. The paper concludes by suggesting that strict adherence to primary meaning in logic overlooks the richness and flexibility inherent in human language and cognition. (shrink)

The topic of fake news has received increased attention from philosophers since the term became a favorite of politicians (Habgood-Coote 2016; Dentith 2016). Notably missing from the conversation, however, is a discussion of fake news and conspiracy theory media as a market. This paper will take as its starting point the account of noxious markets put forward by Debra Satz (2010), and will argue that there is a pro tanto moral reason to restrict the market for fake (...) news. Specifically, we begin with Satz’s argument that restricting a market may be required when i) that market inhibits citizens from being able to stand in an equal relationship with one another, and ii) this problem cannot be solved without such direct restrictions. Our own argument then proceeds in three parts: first, we argue that the market for fake news fits Satz’s description of a noxious market; second, we argue against explanations of the proliferation of fake news that are couched in terms of “epistemic vice”, and likewise argue against prescribing critical thinking education as a solution to the problem; finally, we conclude that, in the absence of other solutions to mitigate the noxious effects of the fake news market, we have a pro tanto moral reason to impose restrictions on this market. At the end of the paper, we consider one proposal to regulate the fake news market, which involves making social media outlets potentially liable in civil court for damages caused by the fake news hosted on their websites. (shrink)

This paper contributes to the growing literature in social epistemology of diagnosing the epistemically problematic features of fake news. I identify two novel problems: the problem of relevant alternatives; and the problem of the degradation of the epistemic environment. The former arises among individual epistemic transactions. By making salient, and thereby relevant, alternatives to knowledge claims, fake news stories threaten knowledge. The problem of the degradation of the epistemic environment arises at the level of entire epistemic communities. I (...) introduce the notion of an epistemic environment, roughly the totality of resources and circumstances relevant to assessing the epistemically interesting statuses, such as knowledge. Fake news degrades our epistemic environment by undermining confidence in epistemic institutions and altering epistemic habits, thereby making the environment less conducive to achieving positive epistemic statuses. This is problematic even if the decrease in confidence and the altering of habits are rational. I end by considering solutions to these problems, stressing the importance of reproaching each other for proliferating fake news. I argue that we should reproach even faultless purveyors of fake news. This is because fake news typically arises in abnormal epistemic contexts, where there is widespread ignorance of, and noncompliance with, correct epistemic norms. (shrink)

Across two studies, one of which was pre-registered, we find that a simple questionnaire that measures intellectual virtue and vice predicts how many fake news articles and conspiracy theories participants accept. This effect holds even when controlling for multiple demographic predictors, including age, household income, sex, education, ethnicity, political affiliation, religion, and news consumption. These results indicate that self-report is an adequate way to measure intellectual virtue and vice, which suggests that they are not fully immune to introspective awareness (...) or “stealthy” in the sense that Cassam (2015) argues. This is an important methodological result and may pave the way for future research on intellectual virtue and vice. (shrink)

In a recent contribution to conceptual ethics, Joshua Habgood-Coote argues that philosophers should refrain from using the term “fake news,” which is commonly employed in public discussions focusing on the epistemic health of democracies. In this short discussion note, I take issue with this claim, discussing each of the three arguments advanced by Coote to support the conclusion that we should abandon this concept. First, I contend that although “fake news” is a contested concept, there is significant agreement (...) among contemporary philosophers about its key feature. Second, I argue against the claim that “fake news” is an unnecessary concept by underlying that it is not reducible to other terms we customarily use to describe the epistemic dysfunctions of democracies. Lastly, I suggest that using the term “fake news” need not serve propagandistic aims, and that philosophers can use this concept without engaging in epistemic policing, that is, commanding their interlocutors not to believe specific news stories or sources. (shrink)

ABSTRACT In Habgood-Coote : 1033–1065) I argued that we should abandon ‘fake news’ and ‘post-truth’, on the grounds that these terms do not have stable public meanings, are unnecessary, and function as vehicles for propaganda. Jessica Pepp, Eliot Michaelson, and Rachel Sterken and Étienne Brown : 144–154) have raised worries about my case for abandonment, recommending that we continue using ‘fake news’. In this paper, I respond to these worries. I distinguish more clearly between theoretical and political reasons (...) for abandoning a term, assemble more evidence that ‘fake news’ is a nonsense term, and respond to the worries raised by Pepp, Michaelson and Sterken, and Brown. I close by considering the prospects for anti-fascist and anti-authoritarian conceptual engineering. (shrink)

Philosophers and social scientists largely agree that fake news is not just necessarily untruthful, but necessarily insincere: it’s produced either with the intention to deceive or an indifference toward its truth. Against this, I argue insincerity is neither a necessary nor obviously typical feature of fake news. The main argument proceeds in two stages. The first, methodological step develops classification criteria for identifying instances of fake news. By attending to expressed theoretical and practical interests, I observe how (...) our classification practices turn on worries about fake news’s unique political-epistemic risks. From this, I argue (i) theories of fake news should capture independent mechanisms that realise these risks and (ii) the manifestation of them suffices for classifying a news story as fake news. The second step applies the classification criteria to bad science journalism. I argue the systematic epistemic faults in bad science journalism manifest the same political-epistemic risks we see in fake news, which suffices to justify classifying it as fake news. But since such faults aren’t plausibly attributed to its propagators being insincere, insincerity doesn’t function independently as a mechanism for realising fake news’s political-epistemic risks. Thus, I conclude, we should exclude insincerity from our accounts of the phenomenon. (shrink)

Knowledge, like other things of value, can be faked. According to Hawley (2011), know-how is harder to fake than knowledge-that, given that merely apparent propositional knowledge is in general more resilient to our attempts at successful detection than are corresponding attempts to fake know-how. While Hawley's reasoning for a kind of detection resilience asymmetry between know-how and know-that looks initially plausible, it should ultimately be resisted. In showing why, we outline different ways in which know-how can be faked (...) even when a given performance is successful, and in doing so, we distinguish how know-how can be faked (no less than know-that) via upstream and downstream indicators of its presence, and within each of these categories, we'll distinguish (in connection with detection resilience) both faking symptoms and (various kinds of) criteria. The unappreciated resilience of faked knowledge-how to successful detection highlights a largely overlooked dimension of social-epistemic risk––risk we face not just in our capacity as recipients of testimony, but in our capacity as both (would-be) apprentices and clients of knowledge-how. (shrink)

This paper focuses on extant approaches to counteract the consumption of fake news online. Proponents of structural approaches suggest that our proneness to consuming fake news could only be reduced by reshaping the architecture of online environments. Proponents of educational approaches suggest that fake news consumers should be empowered to improve their epistemic agency. In this paper, we address a question that is relevant to this debate: namely, whether fake news consumers commit mistakes for which they (...) can be criticized and that they could easily avoid by reforming their doxastic conduct. Proponents of structural approaches, like R. Rini and B. Millar, have defended in different ways a negative answer to this question. In this paper, we criticize their views and suggest that individual users could improve on their epistemic practice by widening their information diet. (shrink)

Recently, the term «fake news» has become ubiquitous in political and public discourse and the media. Despite its omnipresence, however, it is anything but clear what fake news is. An adequate and comprehensive definition of fake news is called for. We take steps towards this goal by providing a systematic account of fake news that makes the phenomenon tangible, rehabilitates the use of the term, and helps us to set fake news apart from related phenomena. (...) (You can email us for a penultimate draft of this paper.). (shrink)

Since 2016, there has been an explosion of academic work and journalism that fixes its subject matter using the terms ‘fake news’ and ‘post-truth’. In this paper, I argue that this terminology is not up to scratch, and that academics and journalists ought to completely stop using the terms ‘fake news’ and ‘post-truth’. I set out three arguments for abandonment. First, that ‘fake news’ and ‘post-truth’ do not have stable public meanings, entailing that they are either nonsense, (...) context-sensitive, or contested. Secondly, that these terms are unnecessary, because we already have a rich vocabulary for thinking about epistemic dysfunction. Thirdly, I observe that ‘fake news’ and ‘post-truth’ have propagandistic uses, meaning that using them legitimates anti-democratic propaganda, and runs the risk of smuggling bad ideology into conversations. (shrink)

The term "fake news" ascended rapidly to prominence in 2016 and has become a fixture in academic and public discussions, as well as in political mud-slinging. In the flurry of discussion, the term has been applied so broadly as to threaten to render it meaningless. In an effort to rescue our ability to discuss—and combat—the underlying phenomenon that triggered the present use of the term, some philosophers have tried to characterize it more precisely. A common theme in this nascent (...) philosophical discussion is that contemporary fake news is not a new kind of phenomenon, but just the latest iteration of a broader kind of phenomenon that has played out in different ways across the history of human information-dissemination technologies. While we agree with this, we argue that newer sorts of fake news reveal substantial flaws in earlier understandings of this notion. In particular, we argue that no deceptive intentions are necessary for fake news to arise; rather, fake news arises when stories which were not produced via standard journalistic practice are treated as though they had been. Importantly, this revisionary understanding of fake news allows us to accommodate and understand the way that fake news is plausibly generated and spread in a contemporary setting, as much by non-human actors as by ordinary human beings. (shrink)

Recent develops in AI technology have led to increasingly sophisticated forms of video manipulation. One such form has been the advent of deepfakes. Deepfakes are AI-generated videos that typically depict people doing and saying things they never did. In this paper, I demonstrate that there is a close structural relationship between deepfakes and more traditional fake barn cases in epistemology. Specifically, I argue that deepfakes generate an analogous degree of epistemic risk to that which is found in traditional cases. (...) Given that barn cases have posed a long-standing challenge for virtue-theoretic accounts of knowledge, I consider whether a similar challenge extends to deepfakes. In doing so, I consider how Duncan Pritchard’s recent anti-risk virtue epistemology meets the challenge. While Pritchard’s account avoids problems in traditional barn cases, I claim that it leads to local scepticism about knowledge from online videos in the case of deepfakes. I end by considering how two alternative virtue-theoretic approaches might vindicate our epistemic dependence on videos in an increasingly digital world. (shrink)

Looking at the recent spate of claims about “fake news” which appear to be a new feature of political discourse, I argue that fake news presents an interesting problem in epistemology. Te phenomena of fake news trades upon tolerating a certain indiference towards truth, which is sometimes expressed insincerely by political actors. Tis indiference and insincerity, I argue, has been allowed to fourish due to the way in which we have set the terms of the “public” epistemology (...) that maintains what is considered “rational” public discourse. I argue one potential salve to the problem of fake news is to challenge this public epistemology by injecting a certain ethical consideration back into the discourse. (shrink)

Deliberative democracy is increasingly criticised as out of touch with the realities of partisan politics. This paper considers the rise of fake and hyperpartisan news as one source of this scepticism. While popular accounts often blame such content on citizens’ political biases and motivated reasoning, I survey the empirical evidence and argue that it does not support strong claims about the inability of citizens to live up to deliberative ideals. Instead, much of this research is shown to support the (...) deliberative capacities of citizens and points to their potential in helping to reduce the spread of false and misleading content. (shrink)

An important way in which philosophy can contribute to public discourse is by clarifying concepts that are central to it. This paper is a philosophical contribution in that spirit. It offers an account of fake news—a notion that has entered public debate following the 2016 US presidential election. On the view I defend, fake news is Frankfurtian bullshit that is asserted in the form of a news publication. According to Frankfurt’s famous account, bullshit has two characteristics. There is, (...) firstly, an “indifference to how things really are” on the part of the bullshitter. This does not mean that what a bullshitter says is always false. It might well be true. What it does mean, however, is that, unlike a liar, who tries to convince us that a given statement he believes to be false is true, a bullshitter simply does not care whether what he says is true. The same, I believe, is true of the publisher of fake news. Secondly, the bullshitter misrepresents “in a certain way … what he is up to”. Likewise, the publisher of fake news seems to misrepresent what he is up to. It appears that he wants to hide his actual motives. At any rate, so I will argue. (shrink)

In their recent paper, Esfe et al. present some criteria for fake journals and propose some ‘features’ to recognize them. While I share most of the authors’ concerns about this issue in general, some of the reported criteria are not fit to differentiate fake journals from genuine ones. Here are some examples derived from their list, which illustrate that such criteria are not necessarily specific to fake journals only, but they could also apply to well-established journals and, (...) therefore, should not be considered as is. (shrink)

Our current understanding of ‘fake news’ is not in good shape. On the one hand, this category seems to be urgently needed for an adequate understanding of the epistemology in the age of the internet. On the other hand, the term has an unstable ordinary meaning and the prevalent accounts which all relate fake news to epistemically bad attitudes of the producer lack theoretical unity, sufficient extensional adequacy, and epistemic fruitfulness. I will therefore suggest an alternative account of (...) fake news that is meant as an explication rather than a traditional conceptual analysis of the term and that understands fake news solely from the consumer’s perspective. I will argue that this new account has the required theoretical unity, that it is epistemically highly fruitful, and that it is still very close to the ordinary usage. I conclude with addressing some of the main objections to this view. (shrink)

The purpose of a study is to critically assess common presupposition, that fake news is a) a threat for civilization as we know it; b) something that appeared only recently or at least that recent examples present a more serious threat for civilization as those from the past. It looks like the fast and global spread of fake news widens the gap between objective reality and that reality asserted by fake news. It is thus accepted especially by (...) so-called liberal media but also a wider intellectual community that we are living in the post-truth era. Such shift is mainly attributed to a strong anti-scientific movement of which one of more important consequence is agnotology that is then understood as one of the major causes for the inefficiency of democracy, post-democracy. (shrink)

The problem of fake news and the spread of misinformation has garnered a lot of attention in recent years. The incentives and norms that give rise to the problem, however, are not unique to journalism. Insofar as academics and journalists are working towards the same goal, i.e., publication, they are both under pressures that pervert. This chapter has two aims. First, to integrate conversations in philosophy of science, epistemology, and metaphilosophy to draw out the publishing incentives that promote analogous (...) problems of fake news and misinformation in academic research communities more broadly. Second, to argue for a (partial) solution. This chapter argues that research communities benefit when authors believe what they argue for in print and it warns against attempts to loosen our publication norms to permit publishing without belief. (shrink)

This paper presents an NLP-driven approach to identifying fake statements made by public figures. The system employs natural language processing (NLP) techniques to analyze textual data and classify statements as true or false. Given the rise of digital media, misinformation has become a global challenge, influencing public opinion and political discourse. Fake news spreads rapidly through social and mainstream media, making fact-checking increasingly difficult. The proposed system processes statements independently, without relying on metadata, using techniques such as tokenization, (...) stemming, and stop-word removal. This method enhances the accuracy of classification by focusing on the linguistic features of statements. Future improvements may incorporate additional contextual data to refine detection accuracy further. Developed using Python and MySQL, this system provides a scalable and efficient solution to combat misinformation, contributing to more reliable information dissemination in the digital age. (shrink)

The growing importance of Social Networking Sites (SNS) in today's information economy has generated significant interest for understanding and managing shared fake news about brands on social media among academia and industry worldwide. In this context, we consider it is important to discuss the role of flow, also called optimal experience, in sharing fake news about brands on social media. Firstly, we will critically analyze the conceptualizations of the umbrella term „fake news‟ in the so-called „post-truth‟ era (...) and assume a narrow definition from literature. Secondly, we will review different theories from literature (i.e., selective exposure theory, uses and gratifications theory, social comparison theory, rational choice theory and self- determination theory) in order to explain why users share fake news. Furthermore, we will refer to flow theory proposed by Csikszentmihalyi (1975), which could be used as a framework to better the understanding of the user‟s behavior regarding the sharing of fake news about brands on social media. Flow is a hedonistic construct whose importance is widely recognized as having a major impact on the user's behavior in relation to information systems. According to Csikszentmihalyi (1975, 1988), flow is a “crucial component of enjoyment” and is “the holistic sensation that people feel when they act with total involvement”. In a flow state, the consumer perceives an effortless action, loss of time and a sense that the experience stands out as being exceptional compared to daily activities (Csikszentmihalyi 1997). Flow is a continuous variable that can occur on different levels, ranging from none to an intense (or complete) state (Csikszentmihalyi & Csikszentmihalyi 1988). Flow experience has been studied as an independent variable, as a dependent variable, and lately, as a mediator variable. In this paper we propose a new conceptual model containing 3 variables: (1) fake news spread about brands in SNS, (2) flow state experienced by SNS human users (i.e., optimal experience) and (3) sharing fake news about brands on social media by SNS human users (i.e., social media behavior). We conclude by outlining the need to empirically test the new conceptual model proposed in this paper. (shrink)

Talk of fake news is rife in contemporary politics, but what is fake news, and how, if anything, does it differ from news which is fake? I argue that in order to make sense of the phenomenon of fake news, it is necessary to first define it and then show what does and does not fall under the rubric of ‘fake news’. I then go on to argue that fake news is not a new (...) problem. Rather, if there is problem with fake news it is its centrality in contemporary public debate. (shrink)

Questo articolo prende in esame il fenomeno della proliferazione di fake news da un punto di vista filosofico—anzi, per meglio dire, prettamente epistemologico—con particolare attenzione a tre questioni fondamentali: cosa sono le fake news e come debbano essere definite; quali meccanismi ne favoriscono la proliferazione sui social media; chi debba essere ritenuto responsabile e degno di biasimo nel processo sotteso alla generazione, pubblicazione e diffusione di fake news. A partire dall'analisi dei principali lavori nella letteratura filosofica sul (...) tema, ci proponiamo di: offrire una definizione di fake news che eviti le obiezioni sollevate contro altre definizioni discusse dalla letteratura (§1); mettere in luce le principali cause della propagazione di fake news, con particolare riferimento ai bias cognitivi e alle strutture comunitarie in cui si organizzano gli utenti dei social media (§2); infine, presentare una analisi originale della responsabilità epistemica dei consumatori di fake news (§3). (shrink)

The complex issue of fake news has been approached extensively by many disciplines in academia. Despite this variety of approaches, the concept of fake news still lacks a reasonable degree of definitional unicity. This paper critically analyzes a sample of definitions from the current literature. By diving into the set of definitions, it will exhibited a total of ten necessary conditions that scholars generally consider: imitation, falsity, deception, bullshit, purpose, morality, assessability, virality, channel, and appeal. Current definitions of (...) fake news have certain blindspots and leave too much leeway for interpretation. This leeway is utterly problematic because it creates a grey zone in which articles are left stranded halfway between fake news and factual news articles. However, it has the crucial advantage of opening up new epistemic paths of inquiry regarding fake news. As a conclusion, we will summarize the conditions one can accept or reject to define fake news. (shrink)

Heute gibt es kaum jemanden mehr, der nicht mit Fake News und Verschwörungstheorien in Berührung gekommen wäre. Mit dem globalen Aufstieg des modernen Populismus und besonders seit Donald Trumps US-Präsidentschaft konnten sie von obskuren Internetfo-ren und dem Rand der Gesellschaft weiter als je zuvor in die öffentliche Debatte vordringen. Mit der zunehmenden Nutzung sozialer Medien und Messenger-Apps wie Telegram oder WhatsApp findet scheinbares Wissen ungehindert Verbreitung und direkten Zugang zu den Smartphones und Köpfen der Menschen. Vor diesem Hintergrund ist (...) es nicht verwunderlich, dass Verschwörungstheorien und Fake News auch Einzug ins Klassenzimmer halten. Dabei stehen Lehrer*innen vor vielen offenen Fragen. Wie sind diese Behauptungen im Einzelnen zu bewerten? Was zeichnet Fake News und Verschwörungstheorien aus und was genau macht sie problematisch? Wie, selbst wenn sie klarerweise falsch und unbegründet sind, sollte damit im Klassenzimmer umgegangen werden? Sollte man sie offen diskutieren? Oder sollte man die Diskussion darüber unterbinden? Hier werden grundlegende und komplexe Fragen der freien Meinungsbildung und -äußerung berührt, zu denen Grundgesetz, Beamten- und Schulrecht nur begrenzt Auskunft geben. In diesem Beitrag wollen uns zuerst ein klares Bild davon machen, was Fake News und Verschwörungstheorien eigentlich sind, warum manche Menschen sie für wahr halten und was daran problematisch ist. Vor diesem Hintergrund soll anschließend die Frage diskutiert werden, wie aus demokratie- und bildungstheoretischer Sicht mit Fake News und Verschwörungstheorien im Unterricht umgegangen werden sollte. (shrink)

Exposing Fake Logic by Avi Sion is a collection of essays written after publication of his book A Fortiori Logic, in which he critically responds to derivative work by other authors who claim to know better. This is more than just polemics; but allows further clarifications of a fortiori logic and of general logic. This collection includes essays on: a fortiori argument (in general and in Judaism); Luis Duarte D’Almeida; Mahmoud Zeraatpishe; Michael Avraham (et al.); an anonymous reviewer of (...) BDD (a Bar Ilan University journal); and self-publishing. (shrink)

The central thesis of robust virtue epistemology (RVE) is that the difference between knowledge and mere true belief is that knowledge involves success that is attributable to a subject's abilities. An influential objection to this approach is that RVE delivers the wrong verdicts in cases of environmental luck. Critics of RVE argue that the view needs to be supplemented with modal anti-luck condition. This particular criticism rests on a number of mistakes about the nature of ability that I shall try (...) to rectify here. (shrink)

In this paper, I offer a conceptual analysis of fake news. In essence, I suggest analysing this notion as a species of Frankfurtian bullshit. This construal, I argue, allows us to distinguish it from similar phenomena like bad or biased journalism and satire. First, I introduce four test cases. The first three are, intuitively, not cases of fake news, while the fourth one is. A correct conceptual analysis should, hence, exclude the first three while including the fourth. Next, (...) I go through some factors that could explain the difference between the first three cases and the fourth one before I offer my explanation. After that, I propose an analysis of fake news and show that it matches our intuitions about the four test cases. Finally, I consider a possible objection to my proposal. (shrink)

The proliferation of fake news in our time presents a major challenge to public discourse and informed decision-making. As social media platforms expose individuals to vast amounts of information, distinguishing between credible content and misinformation has become increasingly difficult. This paper examines the mechanisms that facilitate the spread of fake news, including clickbait headlines and emotional manipulation, which exploit cognitive biases and contribute to the virality of misleading narratives. Emphasizing the urgent need for enhanced media literacy, the study (...) advocates for educational initiatives that equip individuals with critical thinking skills to assess information sources effectively. By fostering media literacy, societies can strengthen resilience against misinformation, promote trust in reliable sources, and support evidence-based decision-making in an increasingly complex information landscape. (shrink)