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Hits 1 – 20 of 4.542
1
Sentence Comprehension Deficits of Specific Language Impairment (Montgomery et al., 2016) ...
Montgomery, James W.
;
Gillam, Ronald B.
;
Evans, Julia L.
. - : ASHA journals, 2022
BASE
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2
Sentence Comprehension Deficits of Specific Language Impairment (Montgomery et al., 2016) ...
Montgomery, James W.
;
Gillam, Ronald B.
;
Evans, Julia L.
. - : ASHA journals, 2022
BASE
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3
Hearing the Voices of Mother Tongue-Based Multilingual Education (MTB-MLE) Implementers in the Division of Surigao City ...
Arcayera, Ronald Allan Amparado
. - : Unpublished, 2022
BASE
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4
Age and presentation rate as factors affecting short-term memory for common nouns coded aurally and pictorially ...
White, Ronald T.
. - : Monash University, 2022
BASE
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5
Age and presentation rate as factors affecting short-term memory for common nouns coded aurally and pictorially ...
White, Ronald T.
. - : Monash University, 2022
BASE
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6
Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
Águas Lopes, José David
;
Cumbal, Ronald
;
Engwall, Olov
. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
BASE
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7
Changing the Mask: Formative Teaching of Ancient Greek Theatre in the Digital Age
Blankenborg, Ronald
In: FuturoClassico FCl; N. 7 (2021); 52-82 ; 2465-0951 (2022)
BASE
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8
L2 discourse markers and the development of interactional competence during study abroad
Schirm, Ronald Samuel Karl
. - : University of Waterloo, 2022
BASE
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9
Collaborative Autoethnographic Writing as Communal Curative
Alhayek, Katty
;
Alexander, Bryant Keith
;
Foster, Elissa
...
In: Communication Graduate Student Publication Series (2022)
BASE
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10
FUNCTIONING DISCOURSE MARKERS TO CONSTRUCT A SOCIAL SITUATION IN SPEECH
Jayantini, I Gusti Agung Sri Rwa
;
Juniartha, I Wayan
;
Aditana, I Kadek Arya
...
In: LiNGUA: Jurnal Ilmu Bahasa dan Sastra; Vol 16, No 2 (2021): LiNGUA; 225 - 236 ; 2442-3823 ; 1693-4725 (2022)
BASE
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11
Like Hand, Like Mouth: On the Role of Gesture-Linked Mouth Actions in the Evolution of Language [<Journal>]
Planer, Ronald J.
[Verfasser];
Reed, Lauren W.
[Verfasser]
DNB Subject Category Language
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12
MUMBAI: multi-person, multimodal board game affect and interaction analysis dataset [<Journal>]
Doyran, Metehan
[Verfasser];
Schimmel, Arjan
[Verfasser];
Baki, Pınar
[Verfasser].
DNB Subject Category Language
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13
Communication sciences and disorders : from science to clinical practice
Gillam, Ronald B.
(Herausgeber);
Marquardt, Thomas P.
(Herausgeber). - Burlington, MA : Jones and Bartlett Learning, 2021
BLLDB
UB Frankfurt Linguistik
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14
Why is scaling up models of language evolution hard?
Woensdregt, Marieke S
;
Spike, Matthew
;
de Haan, Ronald
...
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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15
Body in the gallery: posthumanist ethics and the nonhuman animal body in contemporary art ...
Binnie, Ronald James
. - : The University of Edinburgh, 2021
BASE
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16
MyST Children's Conversational Speech
Pradhan, Sameer
;
Cole, Ronald Allan
;
Ward, Wayne
. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
BASE
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17
Emotional recovery following divorce: Will the real self-compassion please stand up? ...
Chau, Ronald F
;
Sawyer, Widyasita N
;
Greenberg, Jeff
. - : SAGE Journals, 2021
BASE
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18
A Personal Model of Trumpery: Linguistic Deception Detection in a Real-World High-Stakes Setting ...
Van Der Zee, Sophie
;
Poppe, Ronald
;
Havrileck, Alice
. - : SAGE Journals, 2021
BASE
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19
A Personal Model of Trumpery: Linguistic Deception Detection in a Real-World High-Stakes Setting ...
Van Der Zee, Sophie
;
Poppe, Ronald
;
Havrileck, Alice
;
Baillon, Aurélien
. - : SAGE Journals, 2021
Abstract:
Language use differs between truthful and deceptive statements, but not all differences are consistent across people and contexts, complicating the identification of deceit in individuals. By relying on fact-checked tweets, we showed in three studies (Study 1: 469 tweets; Study 2: 484 tweets; Study 3: 24 models) how well personalized linguistic deception detection performs by developing the first deception model tailored to an individual: the 45th U.S. president. First, we found substantial linguistic differences between factually correct and factually incorrect tweets. We developed a quantitative model and achieved 73% overall accuracy. Second, we tested out-of-sample prediction and achieved 74% overall accuracy. Third, we compared our personalized model with linguistic models previously reported in the literature. Our model outperformed existing models by 5 percentage points, demonstrating the added value of personalized linguistic analysis in real-world settings. Our results indicate that factually ...
Keyword:
110319 Psychiatry incl. Psychotherapy
;
110904 Neurology and Neuromuscular Diseases
;
170199 Psychology not elsewhere classified
;
FOS Clinical medicine
;
FOS Psychology
;
Neuroscience
URL:
https://sage.figshare.com/collections/A_Personal_Model_of_Trumpery_Linguistic_Deception_Detection_in_a_Real-World_High-Stakes_Setting/5768688
https://dx.doi.org/10.25384/sage.c.5768688
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20
Emotional recovery following divorce: Will the real self-compassion please stand up? ...
Chau, Ronald F
;
Sawyer, Widyasita N
;
Greenberg, Jeff
. - : SAGE Journals, 2021
BASE
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