On-line privacy behavior: using user interfaces for salient factors

The problem of privacy in social networks is well documented within literature; users have privacy concerns however, they consistently disclose their sensitive information and leave it open to unintended third parties. While numerous causes of poor behaviour have been suggested by research the role of the User Interface (UI) and the system itself is underexplored. The field of Persuasive Technology would suggest that Social Network Systems persuade users to deviate from their normal or habitual behaviour. This paper makes the case that the UI can be used as the basis for user empowerment by informing them of their privacy at the point of interaction and reminding them of their privacy needs. The Theory of Planned Behaviour is introduced as a potential theoretical foundation for exploring the psychology behind privacy behaviour as it describes the salient factors that influence intention and action. Based on these factors of personal attitude, subjective norms and perceived control, a series of UIs are presented and implemented in controlled experiments examining their effect on personal information disclosure. This is combined with observations and interviews with the participants. Results from this initial, pilot experiment suggest groups with privacy salient information embedded exhibit less disclosure than the control group. This work reviews this approach as a method for exploring privacy behaviour and proposes further work required

Online Learning of Dynamic Parameters in Social Networks

This paper addresses the problem of online learning in a dynamic setting. We consider a social network in which each individual observes a private signal about the underlying state of the world and communicates with her neighbors at each time period. Unlike many existing approaches, the underlying state is dynamic, and evolves according to a geometric random walk. We view the scenario as an optimization problem where agents aim to learn the true state while suffering the smallest possible loss. Based on the decomposition of the global loss function, we introduce two update mechanisms, each of which generates an estimate of the true state. We establish a tight bound on the rate of change of the underlying state, under which individuals can track the parameter with a bounded variance. Then, we characterize explicit expressions for the steady state mean-square deviation(MSD) of the estimates from the truth, per individual. We observe that only one of the estimators recovers the optimal MSD, which underscores the impact of the objective function decomposition on the learning quality. Finally, we provide an upper bound on the regret of the proposed methods, measured as an average of errors in estimating the parameter in a finite time.Comment: 12 pages, To appear in Neural Information Processing Systems (NIPS) 201

Reach and speed of judgment propagation in the laboratory

In recent years, a large body of research has demonstrated that judgments and behaviors can propagate from person to person. Phenomena as diverse as political mobilization, health practices, altruism, and emotional states exhibit similar dynamics of social contagion. The precise mechanisms of judgment propagation are not well understood, however, because it is difficult to control for confounding factors such as homophily or dynamic network structures. We introduce a novel experimental design that renders possible the stringent study of judgment propagation. In this design, experimental chains of individuals can revise their initial judgment in a visual perception task after observing a predecessor's judgment. The positioning of a very good performer at the top of a chain created a performance gap, which triggered waves of judgment propagation down the chain. We evaluated the dynamics of judgment propagation experimentally. Despite strong social influence within pairs of individuals, the reach of judgment propagation across a chain rarely exceeded a social distance of three to four degrees of separation. Furthermore, computer simulations showed that the speed of judgment propagation decayed exponentially with the social distance from the source. We show that information distortion and the overweighting of other people's errors are two individual-level mechanisms hindering judgment propagation at the scale of the chain. Our results contribute to the understanding of social contagion processes, and our experimental method offers numerous new opportunities to study judgment propagation in the laboratory

Intermarriage and immigrant employment: the role of networks

The social integration of immigrants is believed to be an important determinant of immigrants’ labor market outcomes. Using 2000 U.S. Census data, we examine how and why marriage to a native, one measure of social assimilation, affects immigrant employment rates. We show that even when controlling for a variety of human capital and assimilation measures, marriage to a native increases the probability that an immigrant is employed. An instrumental variables approach which exploits variation in marriage market conditions suggests that the relationship between marriage decisions and employment rates is not likely to arise from positive selection into marrying a native. We then present several pieces of evidence suggesting that networks obtained through marriage play an important part in explaining this effect

On Making Good Games - Using Player Virtue Ethics and Gameplay Design Patterns to Identify Generally Desirable Gameplay Features

This paper uses a framework of player virtues to perform a theoretical exploration of what is required to make a game good. The choice of player virtues is based upon the view that games can be seen as implements, and that these are good if they support an intended use, and the intended use of games is to support people to be good players. A collection of gameplay design patterns, identified through their relation to the virtues, is presented to provide specific starting points for considering design options for this type of good games. 24 patterns are identified supporting the virtues, including RISK/REWARD, DYNAMIC ALLIANCES, GAME MASTERS, and PLAYER DECIDED RESULTS, as are 7 countering three or more virtues, including ANALYSIS PARALYSIS, EARLY ELIMINATION, and GRINDING. The paper concludes by identifying limitations of the approach as well as by showing how it can be applied using other views of what are preferable features in games

On Making Good Games - Using Player Virtue Ethics and Gameplay Design Patterns to Identify Generally Desirable Gameplay Features

This paper uses a framework of player virtues to perform a theoretical exploration of what is required to make a game good. The choice of player virtues is based upon the view that games can be seen as implements, and that these are good if they support an intended use, and the intended use of games is to support people to be good players. A collection of gameplay design patterns, identified through their relation to the virtues, is presented to provide specific starting points for considering design options for this type of good games. 24 patterns are identified supporting the virtues, including RISK/REWARD, DYNAMIC ALLIANCES, GAME MASTERS, and PLAYER DECIDED RESULTS, as are 7 countering three or more virtues, including ANALYSIS PARALYSIS, EARLY ELIMINATION, and GRINDING. The paper concludes by identifying limitations of the approach as well as by showing how it can be applied using other views of what are preferable features in games

Chinese dialects, revolutionary war & economic performance

In this paper, we explore the effects of dialectal diversity on economic performance by drawing evidence from Chinese prefecture-level cities. Our dataset is a panel of 5-year average data over the period from 2001 to 2015 including 274 cities. We compute five indices of Chinese dialectal diversity: 1. Dialectal fractionalization; 2. Adjusted dialectal fractionalization; 3. Dialectal polarization; 4. Adjusted dialectal polarization and 5. Periphery heterogeneity. We find that dialectal fractionalization and dialectal polarization as well as periphery heterogeneity have a positive effect on both income per capita and economic growth. Adjusted dialectal fractionalization exhibits a positive effect only on the change in economic growth over time. However, adjusted dialectal polarization does not show any robust effects. Furthermore, the experience of being governed by the Chinese Communist Party during the revolutionary war inhibits the negative effects of dialectal diversity in eastern China, while it has persistent negative effects in central and north-eastern regions of the country

Metacognition and transfer within a course or instructional design rules and metacognition

A metacognitive strategy for doing research, included transfer, was taught in a course of nine afternoons. The success of this course raised some questions. How do the students learn? How does metacognition play a role? The course was designed in accordance with several instructional principles. The course was divided into three domains in which the strategy was introduced, practised, and applied respectively. Literature research revealed four possible metacognitive variants that correlate so it was supposed that implementing them all helped to reach the objectives of the course. The relation of the metacognitive variants with the instructional principles is described. To study learning the students were divided into three groups (weak, moderate, good) by their marks for other courses. The performance of the groups in each domain was monitored by their marks, scoring of metacognitive skills, questionnaires, observations, and time keeping. The moderate students scored as high as the good ones for the strategy in the last domain, a unique result. The metacognitive development of the other metacognitive skills was not linear. The conclusions are that the success of this course can be explained by a system of double sequencing and an interaction of all metacognitive variants, and that instructional design rules for metacognitive and cognitive objectives are differen

Non-collusive Corruption: Theory and Evidence from Education Sector in Bangladesh

We study non-collusive corruption in the education sector. For this purpose, we construct a simple theoretical model that captures non-collusive corruption between service providers (teachers) and service demanders (students). The model shows that the bribe paid by the service demander increases with the level of red tape and her income level, but it decrease with the improvement of the individual’s social status. We also establish that with the increase in the income and the social status of the private agent (networks), the probability of paying bribes and the severity of red tape declines. Then we use a survey data set collected in 2007 by Transparency International Bangladesh, to test the predictions of the model. The estimations confirm that both the probability of being subjected to noncollusive corruption and the cost of corruption is related to the individual characteristics of the bribe payer. Moreover, network connections are an important factor that helps to ease the burden of corruption on private agents, which is also likely ensuring the persistence of this type of corruption.Education, non-collusive corruption, bribery, Bangladesh