Relevant bibliographies by topics / INSINCERE

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'INSINCERE'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "INSINCERE"

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Bezugla, Liliia Rostyslavivna. "Insincere speech acts and insincere speech genres." International Journal “Speech Genres” 11, no. 1 (2015): 30–37. http://dx.doi.org/10.18500/2311-0740-2015-1-11-30-37.

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Student. "INSINCERE RESEARCH." Pediatrics 84, no. 2 (August 1, 1989): A90. http://dx.doi.org/10.1542/peds.84.2.a90.

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My personal experience suggests that achievement in research correlates only poorly with both clinical skills and teaching ability. One way of reducing fraud in science is to stop blackmailing people into undertaking research to which they are not intellectually committed and to give to those who are considerably improved facilities.
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Kondruk, Alina, and Elina Koliada. "PERSUASIVE STRATEGIES IN INSINCERE DISCOURSE." Naukovì zapiski Nacìonalʹnogo unìversitetu «Ostrozʹka akademìâ». Serìâ «Fìlologìâ» 1, no. 15(83) (November 24, 2022): 17–20. http://dx.doi.org/10.25264/2519-2558-2022-15(83)-17-20.

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The article focuses on the strategies of persuasiveness in insincere discourse, based on material from modern English fiction. In insincere discourse, deceit, hypocrisy, and manipulation are foregrounded. The semantic basis of insincere discourse is an expression of mentality inherent in an insincere linguistic personality. With the help of persuasive strategies, the speaker influences the interlocutor through appeals to their consciousness, inviting them to their own critical judgment. In order to convince a communicative partner, the speaker provides them with logically ordered information. An insincere speaker convinces their interlocutor by deliberate use of false information. The concept “to speak truth” is opposed to the concept “to speak un-truth.” These concepts are interrelated, they are always evaluated from a moral point of view and are of great importance both in everyday communication and in literature. The truth is connected not only with the correspondence of an utterance to the real world, but with sincerity, that is, with the intentions of a person. In contrast, un-truth is associated with insincerity. I-utterances, which are used by an insincere speaker, convey the meaning of confidence, which reflects a subjective sense of truth of the expressed proposition. The utterances, manifested by type II conditional sentences, expressing an unreal condition related to the moment of speech, convey the meaning of condition in combination with the meanings of rational and emotional evaluation. Emotional evaluation is realized as a positive attitude of the speaker to the object of speech. An insincere speaker is able to flexibly use verbal and non-verbal means. An insincere speaker can use various techniques, such as “unexpectedness”, “appeal to authority”, and understatement, in order to incline a communicative partner finally to make a definite decision.
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Ferzan, Kimberly Kessler. "THE BLUFF: THE POWER OF INSINCERE ACTIONS." Legal Theory 23, no. 3 (September 2017): 168–202. http://dx.doi.org/10.1017/s135232521700026x.

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ABSTRACTIn addition to normative powers by which we alter our rights and duties, we can also forfeit rights. Culpable aggression forfeits the aggressor's right against the victim's use of defensive force. So, what happens when an aggressor “fakes it”? If a culpable aggressor is simply bluffing, has he still forfeited his rights? Because there is no threat, leading accounts of self-defense deny that there is forfeiture.This paper argues that individuals alter their rights and duties through insincere acts. Specifically, when one person culpably causes another person to believe that a normative power has been exercised or a right forfeited, that normative power is in fact exercised or the right is forfeited. An insincere promise counts as a promise; insincere consent counts as consent; and insincere abandonment counts as abandonment. And, the insincere threat forfeits the bluffer's rights to the same extent as a real threat would.
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Kuran, Timur. "Insincere deliberation and democratic failure." Critical Review 12, no. 4 (September 1998): 529–44. http://dx.doi.org/10.1080/08913819808443515.

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Andryukhina, Nataliya Valer'evna. "VIOLATION OF PROPOSITIONS IN INSINCERE DISCOURSE." Philological Sciences. Issues of Theory and Practice, no. 4-1 (April 2018): 52–56. http://dx.doi.org/10.30853/filnauki.2018-4-1.12.

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Subramani, K. "On memoryless provers and insincere verifiers." Journal of Experimental & Theoretical Artificial Intelligence 21, no. 3 (September 2009): 217–31. http://dx.doi.org/10.1080/09528130903119328.

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Rasch, Bjørn Erik. "Insincere voting under the successive procedure." Public Choice 158, no. 3-4 (January 15, 2013): 499–511. http://dx.doi.org/10.1007/s11127-012-0054-6.

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Kondruk, A. Yu, and E. K. Koliada. "INSINCERE ADVICE AS A MANIPULATION AMPLIFIER." "Scientific notes of V. I. Vernadsky Taurida National University", Series: "Philology. Journalism" 1, no. 5 (2022): 187–93. http://dx.doi.org/10.32782/2710-4656/2022.5.1/32.

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Chan, Timothy, and Guy Kahane. "The Trouble with Being Sincere." Canadian Journal of Philosophy 41, no. 2 (June 2011): 215–34. http://dx.doi.org/10.1353/cjp.2011.0013.

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Questions about sincerity play a central role in our lives. But what makes an assertion insincere? In this paper we argue that the answer to this question is not as straightforward as it has sometimes been taken to be. Until recently the dominant answer has been that a speaker makes an insincere assertion if and only if he does not believe the proposition asserted. There are, however, persuasive counterexamples to this simple account. It has been proposed instead that an insincere assertion that p is one made by a speaker who (a) does not express his belief that p; or (b) does not believe that he believes that p; (c) does not assent to p; or (d) does not express any of these cognitive states. We show that these alternative accounts also face counterexamples.
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Dissertations / Theses on the topic "INSINCERE"

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SINGH, MONA. "QUORA INSINCERE QUESTIONS CLASSIFICATION." Thesis, 2019. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16736.

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The competence of any online website surely depends on the kind of experience it gives to its users which depends by and large on the content they put up on their website. Hence, the content which is being put online should be really taken care of. There are many websites which provide content to their user in terms of questions and answers for example the online website Quora, which has large scale of data in terms of questions and answers of users. Users are the ones who put up questions and also provide answers to those questions. Most people on Quora are well-meaning and are genuinely interested in asking questions. Less often, in a way that is deliberately provocative, somebody will ask a question where the wording is intended to make its own statement. This may include framing or calls for hateful stereotypes to be confirmed. These questions are harmful to our community, and we remove or hide them whenever we become aware of them. In this paper a system is proposed that will take significant amount of data from quora and use that data for different approaches to predict if the question is insincere. This project aims to develop models that take the text of a question as an input in English and produce a o or 1 that corresponds to whether the question should be approved as “sincere” or flagged as “insincere”.
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lin, HungYu, and 林宏諭. "“Metamorphoses,”an Insincere Confession to reveal the inner self within Fashion Design-Visual experiments in media (video and still photography) to interplay the self and Fashion." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/65112758808992115601.

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碩士
實踐大學
時尚與媒體設計研究所
99
What is a metamorphosis? Why do I transform myself? and to fit into the society, swinging between ego and nonego? In this thesis, borrowing the spirit of “performance” from Yukio Mishima's semi-autobiography, Confessions of a Mask, I attempt to illustrate my motivation of self-transformation and self-confession. Sociologically speaking, visual images have become creators’ important reference to viewing the world and to construct their identity in this generation. By discussion the narrative ability of images, I try to decipher the visual “real world.” There are lots of ways to interpret and represent the fictional and real aspects of those images. Mainly following the concept of surrealism’s “psychic space,” I would like to expose the connotation when I use my mental scenery in my creation. This project starts from a series of images, videos and experiments that represent the psychic space of mine. I embark on my adventure of self-explosion by exhibiting the 3-dimensionalized clothing and by the rite performance of self-confession. Those videos and images provides the evidence of “my own existence,” and those recordings somewhat freeze and preserve the key element of transformation— “time.” I carefully collect every moment of “emotional shift” and “emotional chaos” and make the collage for the external silhouette of garments and self-image. Following the development of my visual concept clothing, I gradually figure out the action list of metamorphosis of “me.” In this way, by borrowing the connotation and denotation of images, I practice my metamorphosis and create my garments that are probably 3D, semi-3D or 2D. Therefore, those garments and self construct an “imaginary shelter.” I attempt to use the recording of gradual transformation to interpret the “perfect progressive tense” of the transformed fact. The creating process of metamorphosis is a sincere self-confession, a dialogue between my ego and alterego, and a reminder of “who I am.” The process of confession is also the exhibition. The “watched” confessor is wearing a “mask.” The dynamic process of “Metamorphasis” and multiple ways of deciphering is what this thesis mainly concerns.
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Books on the topic "INSINCERE"

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Insincere commitments: Human rights treaties, abusive states, and citizen activism. Washington D.C: Georgetown University Press, 2012.

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Cleary, Brian P. Dearly, nearly, insincerely: What is an adverb? Minneapolis: Carolrhoda Books, 2003.

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Ayres, Ian, and Gregory Klass. Insincere Promises. Yale University Press, 2017. http://dx.doi.org/10.12987/9780300127133.

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Gardner, Donald M. Mentor Insincere. Xlibris Corporation LLC, 2010.

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Klass, Gregory, and Ian Ayres. Insincere Promises: The Law of Misrepresented Intent. Yale University Press, 2005.

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Klass, Gregory, and Ian Ayres. Insincere Promises: The Law of Misrepresented Intent. Yale University Press, 2008.

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Klass, Gregory, and Ian Ayres. Insincere Promises: The Law of Misrepresented Intent. Yale University Press, 2010.

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Stokke, Andreas. Lying and Insincerity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825968.001.0001.

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This book is a comprehensive study of lying and insincere language use. Part I is dedicated to developing an account of insincerity qua linguistic phenomenon. It provides a detailed theory of the distinction between lying and ways of speaking insincerely without lying, as well as accounting for the relation between lying and deceiving. A novel theory of assertion in terms of a notion of what is said defined relative to questions under discussion is used to underpin the analysis of lying and insincerity throughout the book. The framework is applied to various kinds of insincere speech, including false implicature, bullshitting, and forms of misleading with presuppositions, prosodic focus, and different types of semantic incompleteness. Part II discusses the relation between what is communicated and the speaker’s attitudes involved in insincere language use. It develops a view on which insincerity is a shallow phenomenon in the sense that whether or not a speaker is being insincere depends on the speaker’s conscious attitudes, rather than on deeper, unconscious attitudes or motivations. An account of a range of ways of speaking while being indifferent toward what one communicates is developed, and the phenomenon of bullshitting is distinguished from lying and other forms of insincerity. This includes insincere uses of language beyond the realm of declarative sentences. The book gives an account of insincere uses of interrogative, imperative, and exclamative utterances.
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Authenticity: Building a Brand in an Insincere Age. ABC-CLIO, LLC, 2020.

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Authenticity: Building a Brand in an Insincere Age. ABC-CLIO, LLC, 2020.

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Book chapters on the topic "INSINCERE"

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Garritzen, Elise. "Sincere and Insincere Advertisers." In Reimagining the Historian in Victorian England, 295–320. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28461-8_9.

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Cheng, Zhaoqi. "The Insincere “Peacefully Opening the City”." In The Nanjing Massacre and Sino-Japanese Relations, 397–403. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7887-8_16.

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Chakraborty, Snigdha, Megan Wilson, Sulaf Assi, Abdullah Al-Hamid, Maitham Alamran, Abdulaziz Al-Nahari, Jamila Mustafina, Jan Lunn, and Dhiya Al-Jumeily OBE. "Quora Insincere Questions Classification Using Attention Based Model." In Data Science and Emerging Technologies, 357–72. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0741-0_26.

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Vijayeeta, Prachi, Parthasarathi Pattnayak, and Kashis Jawed. "Classification of Quora Insincere Questionnaire Using Soft Computing Paradigm." In Communications in Computer and Information Science, 569–76. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28183-9_40.

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Aslam, Iram, M. Azam Zia, Imran Mumtaz, Qamar Nawaz, and M. Hashim. "Classification of Insincere Questions Using Deep Learning: Quora Dataset Case Study." In Proceedings of the Fifteenth International Conference on Management Science and Engineering Management, 137–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79203-9_12.

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Summa, Michela. "Insincere promises: what do they tell us about the nature of social acts?" In The New Yearbook for Phenomenology and Phenomenological Philosophy XIX, 113–31. London: Routledge, 2022. http://dx.doi.org/10.4324/b23065-9.

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"insincere, adj." In Oxford English Dictionary. 3rd ed. Oxford University Press, 2023. http://dx.doi.org/10.1093/oed/5292884760.

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Ayres, Ian, and Gregory Klass. "Introduction." In Insincere Promises, 1–18. Yale University Press, 2005. http://dx.doi.org/10.12987/yale/9780300106756.003.0001.

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Ayres, Ian, and Gregory Klass. "How to Say Things with Promises." In Insincere Promises, 19–45. Yale University Press, 2005. http://dx.doi.org/10.12987/yale/9780300106756.003.0002.

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Ayres, Ian, and Gregory Klass. "Falsehood and Responsibility." In Insincere Promises, 46–58. Yale University Press, 2005. http://dx.doi.org/10.12987/yale/9780300106756.003.0003.

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Conference papers on the topic "INSINCERE"

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Al-Ramahi, Mohammad, and Izzat Alsmadi. "Using Data Analytics to Filter Insincere Posts from Online Social Networks A Case Study: Quora Insincere Questions." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2020. http://dx.doi.org/10.24251/hicss.2020.304.

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Priyambowo, Hendri, and Mirna Adriani. "Insincere Question Classification on Question Answering Forum." In 2019 International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2019. http://dx.doi.org/10.1109/iceei47359.2019.8988798.

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Chen, Chi. "Insincere Question Classification by Deep Neural Networks." In 2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE). IEEE, 2021. http://dx.doi.org/10.1109/csaiee54046.2021.9543161.

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Chen, Chi. "Insincere Question Classification by Deep Neural Networks." In 2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE). IEEE, 2021. http://dx.doi.org/10.1109/csaiee54046.2021.9543161.

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Gontumukkala, Sai Surya Teja, Yogeshwara Sai Varun Godavarthi, Bhanu Rama Ravi Teja Gonugunta, Deepa Gupta, and Suja Palaniswamy. "Quora Question Pairs Identification and Insincere Questions Classification." In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2022. http://dx.doi.org/10.1109/icccnt54827.2022.9984492.

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Gottipati, Swapna, Annabel Tan, David Chow, Jing Shan, Joel Lim, and Wee Kiat. "Leveraging Profanity for Insincere Content Detection - A Neural Network Approach." In 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2020. http://dx.doi.org/10.1109/iemcon51383.2020.9284844.

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Kozhukhova, Irina. "Pragmatic Peculiarities Of Insincere Speech Acts In Z. Smith’s ‘On Beauty’." In Philological Readings. European Publisher, 2020. http://dx.doi.org/10.15405/epsbs.2020.04.02.30.

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You, Hsiao-Chen, and Han-Yu Weng. "Effects of nonverbal communication on Chatbot's perceived personality and user satisfaction." In 9th International Conference on Kansei Engineering and Emotion Research (KEER2022). Kansei Engineering and Emotion Research (KEER), 2022. http://dx.doi.org/10.5821/conference-9788419184849.26.

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As artificial intelligence develops rapidly, companies have created exclusive chatbots to facilitate conversational commerce and establish an emotional connection between their brands and their customers. Therefore, shaping the chatbot personality to match the brand image is often the focus of chatbot design. Two studies were conducted to investigate how nonverbal communication elements (avatar, sticker, emoji) affect users' judgment of chatbot personality and explore the effect of chatbot personality on user satisfaction. In Study 1, Kansei engineering was adopted to conduct an online survey using six combinations of nonverbal elements as experimental conditions and the five dimensions of the Brand Personality Scale as Kansei vocabularies. The results revealed that the three nonverbal elements did affect users' perceptions of chatbot personalities; however, the impacts of each element on different personality dimensions varied. In Study 2, based on Study 1, two crowdfunding chatbots with distinct personality traits, sincere and insincere, were developed as the experimental conditions to interact with participants within FB messenger. One hundred fifty valid questionnaires and the click rate of participants during the experiment were collected to measure participants' satisfaction. The results showed that participants were more satisfied with the sincere chatbot than the insincere chatbot. In addition, the personality of the chatbots also affected the participants' judgment of the quality of the messages as well as their willingness to use the chatbots.
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Kumar, Rakesh, Ashwani Kumar, Meenu Gupta, and Bhaskar Chauhan. "Quora Based Insincere Content Classification & Detection for Social Media using Machine Learning." In 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, 2021. http://dx.doi.org/10.1109/icac3n53548.2021.9725450.

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Okabe, Noriko. "Cross-Cultural Analyses Between USA and Japan: Personality, Emotional Strategies, and Job Performance of Customer Service Employees." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003082.

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The previous theory suggests that individuals may experience less stress when engaging in activities that are personality congruent. In this research, the author first tries to answer what kind of personality in the Big-five personality model of customer service employees are more or less likely to practice better job performance. And second, this study tries to answer the question of the best emotional strategies, affective delivering, surface acting, and deep acting, to easily practice for the specific type of employees to perform emotion regulation tasks. This study also tries to answer the question of who can best manage their emotions to produce the required emotional expression without appearing insincere or experiencing increased stress. Finally, the author compares the result from the USA and Japanese data to reveal the similarity and differences between the two.
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