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Certainty Broadcasts Risk Preferences: Verbal and Nonverbal Cues to Risk-Taking

Wesley G. Moons, Jennifer R. Spoor, Anne E. Kalomiris, Michael K. Rizk
2013 Journal of nonverbal behavior  
Therefore, across the three communication modalities of nonverbal behavior, speech, and text, more certainty cues revealed risky behavior.  ...  Even when this information is not purposely divulged, people may unwittingly broadcast their willingness to take risks by displaying cues to their level of certainty.  ...  In contrast, the frequency of positive affect words in the essay text content was not related to participants' risky decision-making, b = .017, p = .816.  ... 
doi:10.1007/s10919-013-0146-0 fatcat:xtr6gutjo5buzeo6vunzwcjybu

Uncertain Words, Uncertain Texts. Perception and Effects of Uncertainty in Biomedical Communication

2019 Acta Polytechnica Hungarica  
of uncertainty in biomedical texts, by taking into account different types of uncertainty, linguistic and conceptual.  ...  This paper investigates the reader's perception of the communication of uncertainty in biomedical texts and its effects on the reader's emotions and decision making.  ...  Acknowledgments The work has been in part supported by the Italian National Project PRIN n. 2012C8BJ3X, "Certainty and uncertainty in biomedical scientific communication".  ... 
doi:10.12700/aph.16.2.2019.2.2 fatcat:a7yggnnf7vf5tlzj5gpalgfpdq

Xshell - a general purpose expert system shell

1991 Expert systems with applications  
This report describes an expert system shell, XSHELL, which addresses these problems and which has been successfully used in the Intelligent Frequency Management System.  ...  XSHELL uses text strings (describing each fact and qualifier) only in the presentation of information to the user, and the user types each text only once, at definition.  ...  UNCLASSIFIED FILE FORMATS In the run-time 1/O files, the format of qualitative facts is: fact-text-name qualifier text-name I(certainty)] On input, if the certainty is omitted, 100% is assumed. and the  ... 
doi:10.1016/0957-4174(91)90069-q fatcat:m5xhqgv2rng2pbwjgzoij6dgri

Words matter: How privacy concerns and conspiracy theories spread on twitter

Marco Visentin, Annamaria Tuan, Giandomenico Di Domenico
2021 Psychology & Marketing  
Furthermore, the characteristics of the text (namely, complexity, certainty and emotions) cue different Twitter users' behaviors.  ...  type of language of tweets, we found which words, linguistic style, and emotions conveyed by tweets are more likely to be associated with consumers' privacy concerns and conspiracy theories and how they affect  ...  Since the text reported in tweets is an invaluable source to detect what people wants to convey with a text and how it affects others (e.g., Berger et al., 2020) , we focus on the language used by Twitter  ... 
doi:10.1002/mar.21542 fatcat:hawzxzwa3fgixlzweqi4gd5wwe

Modality and Negation: An Introduction to the Special Issue

Roser Morante, Caroline Sporleder
2012 Computational Linguistics  
Researchers have started to work on modeling factuality, belief and certainty, detecting speculative sentences and hedging, identifying contradictions, and determining the scope of expressions of modality  ...  In this article, we will provide an overview of how modality and negation have been modeled in computational linguistics.  ...  A main characteristic of operators is that they have a scope, which means that their meaning affects other elements in the text.  ... 
doi:10.1162/coli_a_00095 fatcat:6p6vlzsrnfglve7fupa5ahykmu

Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications [article]

Jiaxin Pei, David Jurgens
2021 arXiv   pre-print
Here, we introduce a new study of certainty that models both the level and the aspects of certainty in scientific findings.  ...  Both the model and datasets used in this paper are released at  ...  The CoNLL- 2010 shared task: Learning to detect hedges and their scope in natural language text.  ... 
arXiv:2109.14776v2 fatcat:chnc46u5njfwxotmzuqat3zfqa

Computing Attitude and Affect in Text: Theory and Applications James G. Shanahan, Yan Qu, and Janyce Wiebe (editors) (Clairvoyance Corporation and University of Pittsburgh) Dordrecht: Springer (The information retrieval series, edited by W. Bruce Croft), 2006, xv+341 pp; hardbound, ISBN 1-4020-4026-1, $99.00, €74.95

Michael Gamon
2007 Computational Linguistics  
Computing Attitude and Affect in Text: Theory and Applications James G.  ...  It should be clear from this quick overview that there is no shortage of perspectives on the topic of affect and attitude in text in this collection.  ... 
doi:10.1162/coli.2007.33.2.275 fatcat:ebvol4flkzgkpp7pbrdqwxqz7u

Improving GRADE evidence tables part 3: detailed guidance for explanatory footnotes supports creating and understanding GRADE certainty in the evidence judgments

Nancy Santesso, Alonso Carrasco-Labra, Miranda Langendam, Romina Brignardello-Petersen, Reem A. Mustafa, Pauline Heus, Toby Lasserson, Newton Opiyo, Ilkka Kunnamo, David Sinclair, Paul Garner, Shaun Treweek (+6 others)
2016 Journal of Clinical Epidemiology  
Results: Explanations in GRADE evidence tables should be concise, informative, relevant, easy to understand, and accurate.  ...  The GRADE working group has provided detailed guidance for assessing the certainty in the body of evidence in systematic reviews and health technology assessments (HTAs) and how to grade the strength of  ...  Neither of these institutions played a role in the planning, conduct, or publishing the study findings except through the authors' affiliation.  ... 
doi:10.1016/j.jclinepi.2015.12.006 pmid:26796947 fatcat:7frmzbpnknbvjkxtzbotaxyhvm

Modeling Factuality Judgments in Social Media Text

Sandeep Soni, Tanushree Mitra, Eric Gilbert, Jacob Eisenstein
2014 Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)  
In addition, we examine the impact of specific framing devices on perceptions of credibility.  ...  We then compare the ability of linguistic and extra-linguistic features to predict readers' assessment of the certainty of quoted content.  ...  This paper investigates how linguistic resources and extra-linguistic factors affect perceptions of the certainty of quoted information in Twitter.  ... 
doi:10.3115/v1/p14-2068 dblp:conf/acl/SoniMGE14 fatcat:ydp6flm3evaq5i7m62nb3zhblu

User modeling for social and affective robots [article]

Cristina Gena, Federica Cena, Marco Botta, Claudio Mattutino
2021 arXiv   pre-print
This paper presents our first attempt to integrate user modeling features in social and affective robots.  ...  We propose a cloud-based architecture for modeling the user-robot interaction in order to re-use the approach with different kind of social robots.  ...  Since also this information is returned with a perceived intensity level, we use a certainty factor described in [4] . C.  ... 
arXiv:2108.02513v1 fatcat:g3dtxspotnbu5etux3hnxolnuy

Data-driven classification of the certainty of scholarly assertions

Mario Prieto, Helena Deus, Anita de Waard, Erik Schultes, Beatriz García-Jiménez, Mark D Wilkinson
2020 PeerJ  
We provide an exemplar machine-accessible representation-a Nanopublication-where certainty category is embedded as metadata in a formal, ontology-based manner within text-mined scholarly assertions.  ...  We show that these categories can be detected in an automated manner, using a machine learning model, with a cross-validation accuracy of 89.2% relative to an author-annotated corpus, and 82.2% accuracy  ...  Grant Disclosures The following grant information was disclosed by the authors: Isaac Peral/Marie Curie cofund with the Universidad Politécnica de Madrid.  ... 
doi:10.7717/peerj.8871 pmid:32341891 pmcid:PMC7182025 fatcat:g22m43ehcbau7ewck64lfy36j4

It's all in the (Sub-)title? Expanding Signal Evaluation in Crowdfunding Research [article]

Constantin von Selasinsky, Andrew Jay Isaak
2020 arXiv   pre-print
decision-making in the crowd.  ...  By expanding the information landscape, our work advances the field and paves the way for more fine-grained studies of success signals in crowdfunding and therefore for an improved understanding of investor  ...  and what informational value does subtitle text contribute above and beyond the text listed in the project description?  ... 
arXiv:2010.14389v1 fatcat:d5si5fwpzbhrxj3z65asgyuvdy

Characters matter: How narratives shape affective responses to risk communication

Elizabeth A. Shanahan, Ann Marie Reinhold, Eric D. Raile, Geoffrey C. Poole, Richard C. Ready, Clemente Izurieta, Jamie McEvoy, Nicolas T. Bergmann, Henry King, Fritz Breithaupt
2019 PLoS ONE  
Whereas scientists depend on the language of probability to relay information about hazards, risk communication may be more effective when embedding scientific information in narratives.  ...  The persuasive power of narratives is theorized to reside, in part, in narrative transportation.  ...  We explore whether presenting scientific flood hazard information in certainty vs. probability language results in differing affective responses.  ... 
doi:10.1371/journal.pone.0225968 pmid:31815957 pmcid:PMC6901229 fatcat:lpc2p7hb6fentik734rzfsbbdi

Effectiveness and safety of structured exercise vs. no exercise for asymptomatic aortic aneurysm: systematic review and meta-analysis

Ricardo de Ávila Oliveira, Eliza Nakajima, Vladimir Tonello de Vasconcelos, Rachel Riera, José Carlos Costa Baptista-Silva
2020 Jornal Vascular Brasileiro  
No exercise-related deaths or aortic ruptures occurred in these trials.  ...  We followed the guidelines set out in the Cochrane systematic review handbook.  ...  Not assessed Blinding of outcome assessment (detection bias) -postoperative complications Not assessed Not assessed: The reduction in bias is possible since the authors report the necessary information  ... 
doi:10.1590/1677-5449.190086 pmid:34178059 pmcid:PMC8202166 fatcat:5ksluwf3xjbfbdfns4p6h4tmim

To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection

Kristian Miok, Blaž Škrlj, Daniela Zaharie, Marko Robnik-Šikonja
2021 Cognitive Computation  
Additionally, we test whether affective dimensions can enhance the information extracted by the BERT model in hate speech classification.  ...  We evaluate and visualize the results of the proposed approach on hate speech detection problems in several languages.  ...  We used The variance informs us about the spread and certainty of predictions.  ... 
doi:10.1007/s12559-021-09826-9 fatcat:l2oj5ldlbfbqxabdd6xfcm6xim
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