17,124 research outputs found

    Networks of Gratitude: Structures of Thanks and User Expectations in Workplace Appreciation Systems

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    Appreciation systems--platforms for users to exchange thanks and praise--are becoming common in the workplace, where employees share appreciation, managers are notified, and aggregate scores are sometimes made visible. Who do people thank on these systems, and what do they expect from each other and their managers? After introducing the design affordances of 13 appreciation systems, we discuss a system we call Gratia, in use at a large multinational company for over four years. Using logs of 422,000 appreciation messages and user surveys, we explore the social dynamics of use and ask if use of the system addresses the recognition problem. We find that while thanks is mostly exchanged among employees at the same level and different parts of the company, addressing the recognition problem, managers do not always act on that recognition in ways that employees expect.Comment: in Tenth International AAAI Conference on Web and Social Media, 201

    Integrating Semantic Knowledge to Tackle Zero-shot Text Classification

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    Insufficient or even unavailable training data of emerging classes is a big challenge of many classification tasks, including text classification. Recognising text documents of classes that have never been seen in the learning stage, so-called zero-shot text classification, is therefore difficult and only limited previous works tackled this problem. In this paper, we propose a two-phase framework together with data augmentation and feature augmentation to solve this problem. Four kinds of semantic knowledge (word embeddings, class descriptions, class hierarchy, and a general knowledge graph) are incorporated into the proposed framework to deal with instances of unseen classes effectively. Experimental results show that each and the combination of the two phases achieve the best overall accuracy compared with baselines and recent approaches in classifying real-world texts under the zero-shot scenario.Comment: Accepted NAACL-HLT 201

    Hazard Communication: A Review of the Science Underpinning the Art of Communication for Health and Safety

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    This report was commissioned by the United States Occupational Safety and Health Administration to review the state of scientific inquiry supporting our knowledge regarding key elements of chemical hazard communication programs: labeling, warnings, material safety data sheets, and worker training. This endeavor supports the international effort to harmonize laws, regulations, and consensus standards affecting the ways in which information about hazardous chemicals is communicated. The international effort can be divided into three major functions: classifying health and environmental hazards, classifying physical hazards; and communicating hazard information. This last component involves the determination of what information will be communicated to users regarding the hazards and appropriate protective measures, as well as the way in which it will be transmitted, i.e. through symbols, labels, standard phrases, and training

    Inferring Social Status and Rich Club Effects in Enterprise Communication Networks

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    Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behaviors. In this paper, we consider the notion of status from the perspective of a position or title held by a person in an enterprise. We study the intersection of social status and social networks in an enterprise. We study whether enterprise communication logs can help reveal how social interactions and individual status manifest themselves in social networks. To that end, we use two enterprise datasets with three communication channels --- voice call, short message, and email --- to demonstrate the social-behavioral differences among individuals with different status. We have several interesting findings and based on these findings we also develop a model to predict social status. On the individual level, high-status individuals are more likely to be spanned as structural holes by linking to people in parts of the enterprise networks that are otherwise not well connected to one another. On the community level, the principle of homophily, social balance and clique theory generally indicate a "rich club" maintained by high-status individuals, in the sense that this community is much more connected, balanced and dense. Our model can predict social status of individuals with 93% accuracy.Comment: 13 pages, 4 figure

    Echoes of power: Language effects and power differences in social interaction

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    Understanding social interaction within groups is key to analyzing online communities. Most current work focuses on structural properties: who talks to whom, and how such interactions form larger network structures. The interactions themselves, however, generally take place in the form of natural language --- either spoken or written --- and one could reasonably suppose that signals manifested in language might also provide information about roles, status, and other aspects of the group's dynamics. To date, however, finding such domain-independent language-based signals has been a challenge. Here, we show that in group discussions power differentials between participants are subtly revealed by how much one individual immediately echoes the linguistic style of the person they are responding to. Starting from this observation, we propose an analysis framework based on linguistic coordination that can be used to shed light on power relationships and that works consistently across multiple types of power --- including a more "static" form of power based on status differences, and a more "situational" form of power in which one individual experiences a type of dependence on another. Using this framework, we study how conversational behavior can reveal power relationships in two very different settings: discussions among Wikipedians and arguments before the U.S. Supreme Court.Comment: v3 is the camera-ready for the Proceedings of WWW 2012. Changes from v2 include additional technical analysis. See http://www.cs.cornell.edu/~cristian/www2012 for data and more inf

    Testing the Limits of Antidiscrimination Law: The Business, Legal, and Ethical Ramifications of Cultural Profiling at Work

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    While courts have rarely ruled in favor of plaintiffs bringing discrimination claims based on identity performance, legal scholars have argued that discrimination on the basis of certain cultural displays should be prohibited because it creates a work environment that is heavily charged with ethnic and racial discrimination. Drawing upon empirical studies of diversity management, stereotyping, and group dynamics, we describe how workplace cultural profiling often creates an unproductive atmosphere of heightened scrutiny and identity performance constraints that lead workers (especially those from marginalized groups) to behave in less authentic, less innovative ways in diverse organizational settings

    Identifying linguistic correlates of power

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    Previous work on social power modelling from linguistic cues has been limited by the range of available data. We introduce a new corpus of dialogues, generated in a controlled experimental setting where participant roles were manipulated to generate a perceived difference in social power. Initial results demonstrate successful differentiation of upwards, downwards, and level communications, using a classifier built on a small set of stylistic features
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