The Effects of Expertise, Status Power, and Language Use on Perception of Task Partner

An experiment manipulated the relative expertise and status power of dyad task partners, examining how expertise and status power affect language use and if linguistic cues that emerged during the interaction influence a partner's assessment of the speaker's competence. One hundred twenty-eight dyads worked together on a problem-solving task without knowing who had received better quality information beforehand. One hundred twenty-four interactions were transcribed and quantified using both language software and human coders. Members with superior expertise spoke more words and used more tag questions than those with less expertise. The data did not yield support for more politeness in low-status members’ language nor more confidence in high-expertise members’ language. Members who spoke more were perceived as more competent by partners. Members who used more hedges were perceived as more competent and polite. Results identified language features that can be used strategically to exert influence on others and manage impressions.

Taxes and Haven Activities: Evidence from Linguistic Cues

Users of Exhibit 21 cannot tell whether a tax haven subsidiary is actively operating or a dormant shell company. In this paper, we develop a new set of parsimonious measures to highlight the distinct mechanisms and tax effects of offshore sales to, as opposed to purchases from, tax haven countries, offering insights on the effects of certain types of offshoring activities on firms’ tax burdens. Our main measure has about three times the effect of the mere existence of a haven subsidiary in explaining firms’ effective tax rates. We detail the processes to predict the offshore activities in tax haven countries for firms without an Exhibit 21 and firms reporting no subsidiary operations in a tax haven country. Relative to the mere mention of a tax haven subsidiary in Exhibit 21, our new measures provide a richer information set to capture different types of economic activities in tax haven countries.

Linguistic cues facilitate children’s understanding of belief-reporting sentences

It has been well-documented that although children around 4 years start to attribute false beliefs to others in classic false-belief tasks, they are still less able to evaluate the truth-value of propositional belief-reporting sentences, especially when belief conflicts with reality. This article investigates whether linguistic cues, verb factivity in particular, can facilitate children’s understanding of belief-reporting sentences. Two experiments were implemented, one testing children’s knowledge of verb factivity using a gold medal task, and one investigating children’s interpretation of belief-reporting sentences using a truth-value-judgment task. Both experiments took advantage of the contrast between neutral non-factive mental verbs and strong negatively biased mental verbs. What sets the two apart is that the complement clause following a strong negatively biased mental verb is definitely false, whereas the one following a neutral non-factive mental verb remains indeterminate in the absence of additional information. The findings were that, first, 4-year-old children were able to tell the difference between the two types of mental verbs in factivity, and second, children’s performance was significantly improved when a strong negatively biased mental verb than when a neutral non-factive mental verb was used as the main verb of the belief-reporting sentences. The findings suggest that the use of strong negatively biased mental verbs facilitates children’s understanding of belief-reporting sentences. Implications of the findings are discussed in relation to the underlying mechanisms connecting verb factivity and false-belief understanding.

No Evidence of Robust Noun-Referent Associations in German-Learning 6- to 14-Month-Olds

Work with the looking-while-listening (LWL-) paradigm suggested that 6-month-old English-learning infants associated several labels for common nouns with pictures of their referents: While one distractor picture was present, infants systematically fixated the named target picture. However, recent work revealed constraints of infants' noun comprehension. The age at which these abilities can be obtained appears to relate to the infants' familiarity with the talker, the target language, and word frequency differences in target-distractor pairs. Here, we present further data to this newly established field of research. We tested 42 monolingual German-learning infants aged 6–14 months by means of the LWL-paradigm. Infants saw two pictures side-by-side on a screen, whilst an unfamiliar male talker named one of both. Overall, infants did not fixate the target picture more than the distractor picture. In line with previous results, infants' performance on the task was higher when target and distractor differed within their word frequency—as operationalized by the parental rating of word exposure. Together, our results add further evidence for constraints on early word learning. They point to cross-linguistic differences in early word learning and strengthen the view that infants might use extra-linguistic cues within the stimulus pairing, such as frequency imbalance, to disambiguate between two potential referents.

Social-Cyber Maneuvers Analysis During the COVID-19 Vaccine Initial Rollout (Preprint)

BACKGROUND During the period surrounding the approval and initial distribution of Pfizer-BioNTech’s COVID-19 vaccine, many users took to social media to voice their opinions on the vaccine. They formed pro- and anti-vaccination groups and influenced behaviors to vaccinate or not to vaccinate. The methods of persuasion and manipulation for convincing audiences online can be characterized under a framework for social-cyber maneuvers known as the BEND maneuvers. Previous studies have been conducted on the spread of COVID-19 vaccine disinformation. However, none have used a process that conducts comparative analyses over time on both community stances and the competing techniques of manipulating both the narrative and network structure to persuade target audiences. OBJECTIVE This study aimed to understand community response to vaccination by dividing Twitter data from the initial Pfizer-BioNTech COVID-19 vaccine rollout into pro-vaccine and anti-vaccine stances, identifying key actors and groups, and evaluating how the different communities use social-cyber maneuvers, or BEND maneuvers, to influence their target audiences and the network as a whole. METHODS COVID-19 Twitter vaccine data was collected using the Twitter API for one-week periods before, during, and six weeks after the initial Pfizer-BioNTech rollout (December 2020-January 2021). Bot identifications and linguistic cues were derived for users and tweets, respectively, to use as metrics for evaluating social-cyber maneuvers. ORA-PRO software was then used to separate the vaccine data into pro-vaccine and anti-vaccine communities and facilitate identifying key actors, groups, and BEND maneuvers for a comparative analysis between each community and the entire network. RESULTS Both the pro-vaccine and anti-vaccine communities used combinations of the 16 BEND maneuvers to persuade their target audiences of their particular stances. Our analysis showed how each side attempted to build its own community while simultaneously narrowing and neglecting the opposing community. Pro-vaccine users primarily used positive maneuvers such as excite and explain messages to encourage vaccination and backed leaders within their group. In contrast, anti-vaccine users relied on negative maneuvers to dismay and distort messages with narratives on side effects and death and attempted to neutralize the effectiveness of the leaders within the pro-vaccine community. Furthermore, nuking through platform policies showed to be effective in reducing the size of the anti-vaccine online community and the quantity of anti-vaccine messages. CONCLUSIONS Social media continues to be a domain for manipulating beliefs and ideas. These conversations can ultimately lead to real-world actions such as to vaccinate or not to vaccinate against COVID-19. Moreover, social media policies should be further explored as an effective means for curbing disinformation and misinformation online. CLINICALTRIAL Not applicable

A Corpus-Based Study of Linguistic Deception in Spanish

In the last decade, fields such as psychology and natural language processing have devoted considerable attention to the automatization of the process of deception detection, developing and employing a wide array of automated and computer-assisted methods for this purpose. Similarly, another emerging research area is focusing on computer-assisted deception detection using linguistics, with promising results. Accordingly, in the present article, the reader is firstly provided with an overall review of the state of the art of corpus-based research exploring linguistic cues to deception as well as an overview on several approaches to the study of deception and on previous research into its linguistic detection. In an effort to promote corpus-based research in this context, this study explores linguistic cues to deception in the Spanish written language with the aid of an automatic text classification tool, by means of an ad hoc corpus containing ground truth data. Interestingly, the key findings reveal that, although there is a set of linguistic cues which contributes to the global statistical classification model, there are some discursive differences across the subcorpora, yielding better classification results on the analysis conducted on the subcorpus containing emotionally loaded language.

Advertising Narratives of Society and Politics: A Semiotic Analysis of Amul’s Print Ads

Contextual knowledge is the most important aspect of language comprehension. We define contextual knowledge as both general knowledge and discourse knowledge, i.e., knowledge of the situational context, background knowledge, and co-textual context. In this paper, we will discuss the significance of contextual knowledge in comprehending the humor found in Amul's cartoon advertisements in India. Throughout the process, we will analyze these advertisements and determine whether humor is an effective tool for advertising and, as a result, marketing. These bilingual advertisements also assume that the audience has the necessary linguistic knowledge, such as vocabulary, morphology, and syntax in English and Hindi. Various techniques such as punning, portmanteaus, and parodies of popular proverbs, expressions, acronyms, famous dialogues, songs, and so on are used to convey the message humorously. The current study will focus on these linguistic cues and the necessary context for understanding wit and humor. This study will also employ semiotics and sign methodology to analyze the message provided by the cartoons. According to the research findings, cartoons serve two purposes: political communication and advertising; however, advertising is camouflaged and not placed in an obvious manner.

Subtle Linguistic Cues Affecting Gender In(Equality)

Gender stereotypes and related gender discrimination are encoded in and transmitted through language, contributing to gender inequality. In this article, we review research findings on subtle linguistic means of communicating gender stereotypes and gender hierarchies. Our goal is to provide a comprehensive repository of various instances of subtle linguistic biases potentially useful in creating a text analysis toolbox to quantify gender bias in language. Our focus is predominantly on those areas that have received less attention both in research and in policy making. As gender inequalities are communicated through linguistic practices, attempts to change social reality include changes in language. Therefore, we suggest possible interventions for practices of gender equality in language.