Why don't you believe me? Detecting deception in messages written by nonnative and native speakers

Detecting lies is crucial in numerous contexts, including situations in which individuals do not interact in their native language. Previous research suggests that individuals are perceived as less credible when they communicate in a nonnative compared with native language. The current study was the first to test this effect in truthful and fabricated messages written by native and nonnative English speakers. One hundred native English speakers judged the veracity of these messages, and overall, they proved less likely to believe and to correctly classify nonnative speakers' messages; differences in verbal cues between native and nonnative speakers' messages partly explained the differences in the judgments. Given the increased use of nonnative languages in a globalized world, the discrimination against nonnative speakers in veracity judgments is problematic. Further research should more thoroughly investigate the role of verbal cues in written and spoken nonnative language to enable the development of effective interventions.     

Making Decisions in Foreign Languages: Weaker Senses of Ownership Attenuate the Endowment Effect

Although the number of bilingual consumers is expanding, research on the impact of language on consumer decision making is scarce. The current research examines the endowment effect, which is a fundamental consumer decision‐making regularity, under native versus foreign language processing. I show that the endowment effect, which refers to higher valuation of a given product by sellers than buyers, is attenuated when sellers and buyers process information in a foreign language due to a decrease in sellers’ valuation of the product. I further document empirical evidence for the underlying mechanism of this finding. Thinking in a foreign language diminishes the impact of affective reactions on sellers’ judgment, which results in lowered sense of psychological ownership. This lowered sense of psychological ownership significantly decreases sellers’ valuation to a level comparable to the valuation of buyers. The implications of these results for theory and practice, and avenues for future research are discussed.     

Effects of past language experience and present language context on the shape bias in Spanish–English bilingual children

English‐monolingual children develop a shape bias early in language acquisition, such that they more often generalize a novel label based on shape than other features. Spanish‐monolingual children, however, do not show this bias to the same extent (Hahn & Cantrell, 2012). Studying children who are simultaneously learning both Spanish and English presents a unique opportunity to further investigate how this word‐learning bias develops. Thus, we asked how Spanish–English bilingual children (M_age = 21.31 months) perform in a novel‐noun generalization (NNG) task, specifically examining how past language experience (i.e. language exposure and vocabulary size) and present language context (i.e. whether the NNG task was conducted in Spanish or English) influence the strength of the shape bias. Participants completed the NNG task either entirely in English (N = 16) or entirely in Spanish (N = 16), as well as language understanding tasks in both English and Spanish to ensure that they understood what the experimenter was asking them to do. Parents completed a language exposure survey and vocabulary checklists in Spanish and English. There was a significant interaction between condition and choice type: Bilingual children in the English condition showed a shape bias in the NNG task, but bilingual children in the Spanish condition showed no reliable biases. No measures of past language experience were related to NNG task performance. These results suggest that when learning new words, bilingual children are attuned to the regularities of the present language context, and prior language experiences may play a more secondary role.     

“动手不动口”：手部动作与语言进化的关系

语言进化是进化心理学研究领域的重要问题。镜像系统假说、工具制造假说与传授假说从不同角度对手部动作与语言进化间的关系进行了解释, 三种假说都认为人类语言起源于手部动作经验。相关实证研究发现：手语与口语具有一致性特征、语言与手部动作具有共同的神经基础、手势发展可以预测语言发展水平以及手势可以提高工具制造知识的传播效率, 这些研究为三种假说的具体观点提供了实证支持。未来该领域的研究需要关注手势语与口语在进化中的发展关系, 以及人类语言进化与其他认知特征的进化关系。     

Interpersonal Understanding Fuels Knowledge Acquisition

Beginning in infancy, humans acquire knowledge at a pace far outstripping that found in any other species. Recent evidence indicates that interpersonal understanding—in particular, skill at inferring others' intentions—plays a pivotal role in this achievement. Infants as young as 12 to 18 months actively utilize clues to others' intentions to guide their interpretation of language, emotion, and action more generally. In the language domain, for example, on hearing a new word, infants spontaneously check the speaker for intentional clues such as gaze direction, emotional expression, gestures, and body posture, and interpret the word in light of such information. By capitalizing on information about intentions, infants are able to avoid a wide range of potential errors, and to quickly learn relevant new skills. Current research is exploring the origins and developmental course of such early-emerging interpersonal skill, ultimately with an eye to understanding how disruptions in such abilities affect children's cognitive and social development.     

The Possibility of Meaning in Human Evolution

Science undermines the certitude of non-naturalistic answers to the question of whether human life has meaning. I explore whether evolution can provide a naturalistic basis for existential meaning. Using the work of philosopher Daniel Dennett and scientist Ursula Goodenough, I argue that evolution is the locus of the possibility of meaning because it has produced intentionality, the matrix of consciousness. I conclude that the question of the meaning of human life is an existentialist one: existential meaning is a product of the individual and collective tasks human beings undertake.     

The Role of Negative Information in Distributional Semantic Learning

Distributional models of semantics learn word meanings from contextual co‐occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co‐occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co‐occurrences with vector accumulation. All of these models learned from positive information only: Words that occur together within a context become related to each other. A recent class of distributional models, referred to as neural embedding models, are based on a prediction process embedded in the functioning of a neural network: Such models predict words that should surround a target word in a given context (e.g., word2vec; Mikolov, Sutskever, Chen, Corrado, & Dean, 2013). An error signal derived from the prediction is used to update each word's representation via backpropagation. However, another key difference in predictive models is their use of negative information in addition to positive information to develop a semantic representation. The models use negative examples to predict words that should not surround a word in a given context. As before, an error signal derived from the prediction prompts an update of the word's representation, a procedure referred to as negative sampling. Standard uses of word2vec recommend a greater or equal ratio of negative to positive sampling. The use of negative information in developing a representation of semantic information is often thought to be intimately associated with word2vec's prediction process. We assess the role of negative information in developing a semantic representation and show that its power does not reflect the use of a prediction mechanism. Finally, we show how negative information can be efficiently integrated into classic count‐based semantic models using parameter‐free analytical transformations.     

Uneven Profiles: Language Minority Learners' Word Reading, Vocabulary, and Reading Comprehension Skills

English reading comprehension skill development was examined in a group of 87 native Spanish-speakers developing English literacy skills, followed from fourth through fifth grade. Specifically, the effects of Spanish (L1) and English (L2) oral language and word reading skills on reading comprehension were investigated. The participants showed average word reading skills and below average comprehension skills, influenced by low oral language skills. Structural equation modeling confirmed that L2 oral language skills had a large, significant effect on L2 reading comprehension, whereas students' word-level reading skills, whether in L1 or L2, were not significantly related to English reading comprehension in three of four models fitted. The results converge with findings from studies with monolinguals demonstrating the influence of oral language on reading comprehension outcomes, and extend these findings by showing that, for language minority learners, L2 oral language exerts a stronger influence than word reading in models of L2 reading.     

An on-line study of Japanese nesting complexity

This paper reports the results of a self-paced reading experiment in Japanese in which the materials consisted of four versions of successively more nested syntactic structures. It was found that (1) people read the more nested materials slower than the less nested materials; and (2) the locus of the relative slowdown occurred early in the nested structures. There was no corresponding slowdown when processing the verbs at the end of each clause. The results are therefore not predicted by retrieval-based integration accounts of syntactic complexity. Rather, the results support expectation-based accounts of syntactic complexity for these materials.