201,317 research outputs found

    Liar, Liar: Micro-expression Application to Detect Deception

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    This study focused on nonverbal mirco-expressions using the deception detection method to shed light on the effectiveness of such a tool for use in detecting liars. Five examples of videos depicting instances in which individuals who were later proven to be lying were analyzed in order to assess the reliability of such a tool in an area of interest to both communication and psychology. This study suggested that the theory provides a reliable tool for assessing the use of deception by a variety of people in different situations. The paper upon which this poster was based was written for the Senior Seminar course in Communication Arts

    The Generalised Liar Paradox: A Quantum Model and Interpretation

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    The formalism of abstracted quantum mechanics is applied in a model of the generalized Liar Paradox. Here, the Liar Paradox, a consistently testable configuration of logical truth properties, is considered a dynamic conceptual entity in the cognitive sphere. Basically, the intrinsic contextuality of the truth-value of the Liar Paradox is appropriately covered by the abstracted quantum mechanical approach. The formal details of the model are explicited here for the generalized case. We prove the possibility of constructing a quantum model of the m-sentence generalizations of the Liar Paradox. This includes (i) the truth-falsehood state of the m-Liar Paradox can be represented by an embedded 2m-dimensional quantum vector in a (2m)^m dimensional complex Hilbert space, with cognitive interactions corresponding to projections, (ii) the construction of a continuous 'time' dynamics is possible: typical truth and falsehood value oscillations are described by Schrodinger evolution, (iii) Kirchoff and von Neumann axioms are satisfied by introduction of 'truth-value by inference' projectors, (iv) time invariance of unmeasured state.Comment: 13 pages, to be published in Foundations of Scienc

    Liar, liar

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    Liar, liar (1997, USA) by Tom Shadyac Main Cast: Jim Carrey, Maura Tierney, Justin Cooper Company: Imagine Entertainment Fletcher Reed is a successful lawyer, who spends more time at work than with his son Max. Scene: male adults work Fletcher is late, when he picks up his son from his ex-wife. Clip: 23 (Addictions 3

    Liar, liar

    Get PDF
    Liar, liar (1997, USA) by Tom Shadyac Main Cast: Jim Carrey, Maura Tierney, Justin Cooper Company: Imagine Entertainment Fletcher Reed is a successful lawyer, who spends more time at work than with his son Max. Scene: male adults work Fletcher is late, when he picks up his son from his ex-wife. Clip: 23 (Addictions 3

    Liar, liar

    Get PDF
    Liar, liar (1997, USA) by Tom Shadyac Main Cast: Jim Carrey, Maura Tierney, Justin Cooper Company: Imagine Entertainment Fletcher Reed is a successful lawyer, who spends more time at work than with his son Max. Scene: male adults work Fletcher gets more work tasks and he has to cancel the evening with Max. Clip: 24 (Addictions 3

    How to find an attractive solution to the liar paradox

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    The general thesis of this paper is that metasemantic theories can play a central role in determining the correct solution to the liar paradox. I argue for the thesis by providing a specific example. I show how Lewis’s reference-magnetic metasemantic theory may decide between two of the most influential solutions to the liar paradox: Kripke’s minimal fixed point theory of truth and Gupta and Belnap’s revision theory of truth. In particular, I suggest that Lewis’s metasemantic theory favours Kripke’s solution to the paradox over Gupta and Belnap’s. I then sketch how other standard criteria for assessing solutions to the liar paradox, such as whether a solution faces a so-called revenge paradox, fit into this picture. While the discussion of the specific example is itself important, the underlying lesson is that we have an unused strategy for resolving one of the hardest problems in philosophy

    "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

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    Automatic fake news detection is a challenging problem in deception detection, and it has tremendous real-world political and social impacts. However, statistical approaches to combating fake news has been dramatically limited by the lack of labeled benchmark datasets. In this paper, we present liar: a new, publicly available dataset for fake news detection. We collected a decade-long, 12.8K manually labeled short statements in various contexts from PolitiFact.com, which provides detailed analysis report and links to source documents for each case. This dataset can be used for fact-checking research as well. Notably, this new dataset is an order of magnitude larger than previously largest public fake news datasets of similar type. Empirically, we investigate automatic fake news detection based on surface-level linguistic patterns. We have designed a novel, hybrid convolutional neural network to integrate meta-data with text. We show that this hybrid approach can improve a text-only deep learning model.Comment: ACL 201

    Refuting Incompleteness and Undefinability

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    Within the (Haskell Curry) notion of a formal system we complete Tarski's formal correctness: ∀x True(x) ↔ ⊱ x and use this finally formalized notion of Truth to refute his own Undefinability Theorem (based on the Liar Paradox), the Liar Paradox, and the (Panu Raatikainen) essence of the conclusion of the 1931 Incompleteness Theorem
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