Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game

Interpersonal relations are fickle, with close friendships often dissolving into enmity. In this work, we explore linguistic cues that presage such transitions by studying dyadic interactions in an online strategy game where players form alliances and break those alliances through betrayal. We characterize friendships that are unlikely to last and examine temporal patterns that foretell betrayal. We reveal that subtle signs of imminent betrayal are encoded in the conversational patterns of the dyad, even if the victim is not aware of the relationship's fate. In particular, we find that lasting friendships exhibit a form of balance that manifests itself through language. In contrast, sudden changes in the balance of certain conversational attributes---such as positive sentiment, politeness, or focus on future planning---signal impending betrayal.Comment: To appear at ACL 2015. 10pp, 4 fig. Data and other info available at http://vene.ro/betrayal

Topic Modelling of Everyday Sexism Project Entries

The Everyday Sexism Project documents everyday examples of sexism reported by volunteer contributors from all around the world. It collected 100,000 entries in 13+ languages within the first 3 years of its existence. The content of reports in various languages submitted to Everyday Sexism is a valuable source of crowdsourced information with great potential for feminist and gender studies. In this paper, we take a computational approach to analyze the content of reports. We use topic-modelling techniques to extract emerging topics and concepts from the reports, and to map the semantic relations between those topics. The resulting picture closely resembles and adds to that arrived at through qualitative analysis, showing that this form of topic modeling could be useful for sifting through datasets that had not previously been subject to any analysis. More precisely, we come up with a map of topics for two different resolutions of our topic model and discuss the connection between the identified topics. In the low resolution picture, for instance, we found Public space/Street, Online, Work related/Office, Transport, School, Media harassment, and Domestic abuse. Among these, the strongest connection is between Public space/Street harassment and Domestic abuse and sexism in personal relationships.The strength of the relationships between topics illustrates the fluid and ubiquitous nature of sexism, with no single experience being unrelated to another.Comment: preprint, under revie

Inferring Interpersonal Relations in Narrative Summaries

Characterizing relationships between people is fundamental for the understanding of narratives. In this work, we address the problem of inferring the polarity of relationships between people in narrative summaries. We formulate the problem as a joint structured prediction for each narrative, and present a model that combines evidence from linguistic and semantic features, as well as features based on the structure of the social community in the text. We also provide a clustering-based approach that can exploit regularities in narrative types. e.g., learn an affinity for love-triangles in romantic stories. On a dataset of movie summaries from Wikipedia, our structured models provide more than a 30% error-reduction over a competitive baseline that considers pairs of characters in isolation

What’s a threat on social media? How Black and Latino Chicago young men define and navigate threats online

Youth living in violent urban neighborhoods increasingly post messages online from urban street corners. The decline of the digital divide and the proliferation of social media platforms connect youth to peer communities who may share experiences with neighborhood stress and trauma. Social media can also be used for targeted retribution when threats and insults are directed at individuals or groups. Recent research suggests that gang-involved youth may use social media to brag, post fight videos, insult, and threaten—a phenomenon termed Internet banging. In this article, we leverage “code of the digital street” to understand how and in what ways social media facilitates urban-based youth violence. We utilize qualitative interviews from 33 Black and Latino young men who frequent violence prevention programs and live in violent neighborhoods in Chicago. Emerging themes describe how and why online threats are conceptualized on social media. Implications for violence prevention and criminal investigations are discussed

Ethical Obligations and the Dental Office Team

A hypothetical case of alleged sexual misconduct in a practice with high employee turnover and stress is analyzed by three experts. This case commentary examines the ethical role expectations of an office manager who is not directly involved but becomes aware of the activities. The commentators bring the perspectives of a dental hygienist. academic administrator. and attorney; a teacher of behavioral sciences in a dental school; and a general dentist with many years of practice experience