Dominants, Submissives, and Bottom-up Text Analysis: Exploring BDSM Roles Through Romantic and Erotic Narratives.

Powerplay, or the consensual power exchange between "Dominant" and "submissive" (D/s) role partners, is common practice within BDSM culture. To many BDSM practitioners, their D/s role is an integral part of their sexual identity, informing not only their sexual scripts but also their non-sexual social interactions. Linguistic Inquiry and Word Count (LIWC) text analysis software was used to process 261 participants' responses to prompts asking them to write erotic and relationship-themed narratives. Using a data-driven approach to model selection, we regressed participants' engagement in BDSM and D/s powerplay role identification on standardized language frequencies. Stories from more active BDSM practitioners' narratives used more perceptual words, suggesting potentially mindful, intimate, and detailed storytelling, whereas non-practitioners used more tentativeness and death in their writings. Moreover, language reflected D/s role attributes, with Dominants exhibiting ownership, responsibility, and other-focus, and submissives referencing power dynamics and self-focus in their responses. Findings are consistent with existing literature on BDSM power relationships and relate to psychosexual well-being.

Linguistic gender congruity differentially correlates with film and novel ratings by critics and audiences.

The film and publishing industries are fraught with gender disparities, with men overpowering nearly every sector of these domains. For instance, men are not only paid more than women in the film industry, but they also outnumber women in positions such as director, screenwriter, and lead acting roles. Similarly, women often resort to assuming gender-neutral or male pseudonyms to increase their prospects in the publishing industry. This widespread gender inequality in the film and publishing industries raises the question of how writers' gender relates to gendered language and narrative receptions. Two archival studies examined whether gender-linked language relates to film (N = 521) and novel (N = 150) ratings, and whether those associations differ as a function of writer gender or the expertise of the rater (professional critics and lay audience members). Results demonstrated that female screenwriters and novelists used a more feminine style of writing, whereas male screenwriters and novelists used a more masculine style of writing. Lay audiences gave more positive ratings to films and novels by writers who used a more gender-congruent writing style, in contrast with professional critics, who gave more positive reviews to films by writers who used a more gender-incongruent writing style. Our findings substantiate past research regarding the differing tastes of lay audiences and professional critics in addition to lending insight into subtle social dynamics that may sustain gender biases in the film and publishing industries.

Genre-typical narrative arcs in films are less appealing to lay audiences and professional film critics.

People tend to like stimuli-ranging from human faces to text-that are prototypical, and thus easily processed. However, recent research has suggested that less typical stimuli may be preferred in creative contexts, such as fine art or music lyrics. In an archival sample of movie scripts, we tested whether genre-typicality predicted film ratings as a function of rater role (novice audience member or expert film critic). Genre-typicality was operationalized as the profile correlations between linguistic arcs (across five segments, or acts) for each script and within-genre averages. We predicted (1) that critics would prefer more disfluent (genre-atypical) films and general audiences would prefer fluent (genre-typical) films, and (2) that these differences would be most pronounced for genres expected to be more entertaining (e.g., action/adventure) than challenging (e.g., tragedy). Partly consistent with our hypotheses, the results showed that critics gave higher ratings to action/adventure films with less typical positive emotion arcs. However, regardless of audience-member or professional-critic status, higher ratings were attributed to films that were more genre-atypical (or disfluent), in terms of analytic thinking, narrative action, and emotional tone, across all genres except family/kids films. Such findings support the growing literature on the appeal of disfluency in the arts and have relevance for researchers in psychology and computer science who are interested in computational linguistic approaches to attitudes, film, and literature.

Can you catch Ebola from a stork bite? Inductive reasoning influences generalization of perceived zoonosis risk.

Emerging zoonoses are a prominent global health threat. Human beliefs are central to drivers of emerging zoonoses, yet little is known about how people make inferences about risk in such scenarios. We present an inductive account of zoonosis risk perception, suggesting that beliefs about the range of animals able to transmit diseases to each other influence how people generalize risks to other animals and health behaviors. Consistent with our account, in Study 1, we find that participants who endorse higher likelihoods of cross-species disease transmission have stronger intentions to report animal bites. In Study 2, using real-world descriptions of Ebola virus from the WHO and CDC, we find that communications conveying a broader range of animals as susceptible to the virus increase intentions to report animal bites and decrease perceived safety of wild game meat. These results suggest that inductive reasoning principles may be harnessed to modulate zoonosis risk perception and combat emerging infectious diseases.

Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States: Online Messages and Structural Determinants.

HIV is uncommon in most US counties but travels quickly through vulnerable communities when it strikes. Tracking behavior through social media may provide an unobtrusive, naturalistic means of predicting HIV outbreaks and understanding the behavioral and psychological factors that increase communities' risk. General action goals, or the motivation to engage in cognitive and motor activity, may support protective health behavior (e.g., using condoms) or encourage activity indiscriminately (e.g., risky sex), resulting in mixed health effects. We explored these opposing hypotheses by regressing county-level HIV prevalence on action language (e.g., work, plan) in over 150 million tweets mapped to US counties. Controlling for demographic and structural predictors of HIV, more active language was associated with lower HIV rates. By leveraging language used on social media to improve existing predictive models of geographic variation in HIV, future targeted HIV-prevention interventions may have a better chance of reaching high-risk communities before outbreaks occur.

Future-oriented tweets predict lower county-level HIV prevalence in the United States.

OBJECTIVE: Future orientation promotes health and well-being at the individual level. Computerized text analysis of a dataset encompassing billions of words used across the United States on Twitter tested whether community-level rates of future-oriented messages correlated with lower human immunodeficiency virus (HIV) rates and moderated the association between behavioral risk indicators and HIV. METHOD: Over 150 million tweets mapped to U.S. counties were analyzed using 2 methods of text analysis. First, county-level HIV rates (cases per 100,000) were regressed on aggregate usage of future-oriented language (e.g., will, gonna). A second data-driven method regressed HIV rates on individual words and phrases. RESULTS: Results showed that counties with higher rates of future tense on Twitter had fewer HIV cases, independent of strong structural predictors of HIV such as population density. Future-oriented messages also appeared to buffer health risk: Sexually transmitted infection rates and references to risky behavior on Twitter were associated with higher HIV prevalence in all counties except those with high rates of future orientation. Data-driven analyses likewise showed that words and phrases referencing the future (e.g., tomorrow, would be) correlated with lower HIV prevalence. CONCLUSION: Integrating big data approaches to text analysis and epidemiology with psychological theory may provide an inexpensive, real-time method of anticipating outbreaks of HIV and etiologically similar diseases.

Neuroticism and attitudes toward action in 19 countries.

Although individuals scoring high on Neuroticism tend to avoid taking action when faced with challenges, Neuroticism is also characterized by impulsivity. To explore cognitive biases related to this costly behavior pattern, we tested whether individuals who rated themselves as higher in Neuroticism would evaluate the general concepts of action and inaction as, respectively, more negative and positive. We further investigated whether anxiety and depression would mediate and individualism-collectivism would moderate these relations in a large international sample. Participants (N = 3,827 college students; 69% female) from 19 countries completed surveys measuring Neuroticism, attitudes toward action and inaction, depression, anxiety, and individualism-collectivism. Hierarchical linear models tested the above predictions. Neuroticism negatively correlated with attitudes toward action and positively correlated with attitudes toward inaction. Furthermore, anxiety was primarily responsible for emotionally unstable individuals' less positive attitudes toward action, and individuals who endorsed more collectivistic than individualistic beliefs showed a stronger negative association between Neuroticism and attitudes toward action. Researchers and practitioners interested in understanding and remediating the negative consequences of Neuroticism should pay greater attention to attitudes toward action and inaction, particularly focusing on their links with anxiety and individualism-collectivism.

Language style matching predicts relationship initiation and stability.

Previous relationship research has largely ignored the importance of similarity in how people talk with one another. Using natural language samples, we investigated whether similarity in dyads' use of function words, called language style matching (LSM), predicts outcomes for romantic relationships. In Study 1, greater LSM in transcripts of 40 speed dates predicted increased likelihood of mutual romantic interest (odds ratio = 3.05). Overall, 33.3% of pairs with LSM above the median mutually desired future contact, compared with 9.1% of pairs with LSM at or below the median. In Study 2, LSM in 86 couples' instant messages positively predicted relationship stability at a 3-month follow-up (odds ratio = 1.95). Specifically, 76.7% of couples with LSM greater than the median were still dating at the follow-up, compared with 53.5% of couples with LSM at or below the median. LSM appears to reflect implicit interpersonal processes central to romantic relationships.

Language style matching in writing: synchrony in essays, correspondence, and poetry.

Each relationship has its own personality. Almost immediately after a social interaction begins, verbal and nonverbal behaviors become synchronized. Even in asocial contexts, individuals tend to produce utterances that match the grammatical structure of sentences they have recently heard or read. Three projects explore language style matching (LSM) in everyday writing tasks and professional writing. LSM is the relative use of 9 function word categories (e.g., articles, personal pronouns) between any 2 texts. In the first project, 2 samples totaling 1,744 college students answered 4 essay questions written in very different styles. Students automatically matched the language style of the target questions. Overall, the LSM metric was internally consistent and reliable across writing tasks. Women, participants of higher socioeconomic status, and students who earned higher test grades matched with targets more than others did. In the second project, 74 participants completed cliffhanger excerpts from popular fiction. Judges' ratings of excerpt-response similarity were related to content matching but not function word matching, as indexed by LSM. Further, participants were not able to intentionally increase style or content matching. In the final project, an archival study tracked the professional writing and personal correspondence of 3 pairs of famous writers across their relationships. Language matching in poetry and letters reflected fluctuations in the relationships of 3 couples: Sigmund Freud and Carl Jung, Elizabeth Barrett and Robert Browning, and Sylvia Plath and Ted Hughes. Implications for using LSM as an implicit marker of social engagement and influence are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved).