Community-based question answering (CQA) platforms are crowd-sourced services for sharing user expertise on various topics, from mechanical repairs to parenting. While they naturally build-in an online social network infrastructure, they carry a very different purpose from Facebook-like social networks, where users "hang-out" with their friends and tend to share more personal information. It is unclear, thus, how the privacy concerns and their correlation with user behavior in an online social network translate into a CQA platform. This study analyzes one year of recorded traces from a mature CQA platform to understand the association between users' privacy concerns as manifested by their account settings and their activity in the platform. The results show that privacy preference is correlated with behavior in the community in terms of engagement, retention, accomplishments and deviance from the norm. We find privacy-concerned users have higher qualitative and quantitative contributions, show higher retention, report more abuses, have higher perception on answer quality and have larger social circles. However, at the same time, these users also exhibit more deviant behavior than the users with public profiles.
's @cite_34 demographic study on privacy concerns among American, Chinese, and Indian social network users shows that American respondents are the most privacy concerned, followed by Chinese. However, there has been no research on privacy concerns and user behavior in CQA platforms. Our previous work @cite_0 on cultures in used Geert Hofstede's cultural dimensions @cite_41 , such as individualism index, and showed that users from higher individualism index countries exhibit higher level of concern about their privacy compared to the users from collectivistic countries. In this study, we focus on understanding how the users' behavior, characterized by broad engagement, accomplishments and deviance metrics, relates to their privacy concerns.
@cite_0 @cite_41 @cite_34
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CQA services are collaborative platforms where users ask and answer questions. We investigate the influence of national culture on people's online questioning and answering behavior. For this, we analyzed a sample of 200 thousand users in Yahoo Answers from 67 countries. We measure empirically a set of cultural metrics defined in Geert Hofstede's cultural dimensions and Robert Levine's Pace of Life and show that behavioral cultural differences exist in community question answering platforms. We find that national cultures differ in Yahoo Answers along a number of dimensions such as temporal predictability of activities, contribution-related behavioral patterns, privacy concerns, and power inequality. In recent years, numerous surveys have been conducted to assess attitudes about privacy in the United States, Australia, Canada, and the European Union. Very little information has been published about privacy attitudes in India. As India is becoming a leader in business process outsourcing, increasing amounts of personal information from other countries is flowing into India. Questions have been raised about the ability of Indian companies to adequately protect this information. We conducted an exploratory study to gain an initial understanding of attitudes about privacy among the Indian high tech workforce. We carried out a written survey and one-on-one interviews to assess the level of awareness about privacy-related issues and concern about privacy among a sample of educated people in India. Our results demonstrate an overall lack of awareness of privacy issues and less concern about privacy in India than has been found in similar studies conducted in the United States. Abstract This study summarizes the development and validation of a multidimensional privacy orientation scale designed for measuring privacy attitudes of Social Network Site (SNS) users. Findings confirm the existence of four dimensions: (1) belief in the value of “privacy as a right”; (2) “other-contingent privacy”; (3) “concern about own informational privacy” and (4) “concern about privacy of others.” Moreover, a segmentation of SNS users based on these attitude scores reveals three types of users: (1) privacy advocates, who are concerned about both their own and other people’s privacy; (2) privacy individualists, who are concerned mostly about their own privacy, and (3) privacy indifferents, whose score on all dimensions are lower than other segments. The results indicate that the four privacy orientation dimensions and three user segments predict key differences in terms of privacy protective behavior, information disclosure, and viewing personal information of others. Previous studies have established the link between one's actions (e.g., engaging with others vs. minding one's own business) and one's national culture (e.g., collectivist vs. individualistic), and such actions have been shown to be important as they are collectively affiliated with a country's economic outcomes (e.g., Gross Domestic Product). Hitherto there has not been any systematic study of whether one's action on Twitter (e.g., deciding when to post messages) is linked to one's culture (e.g., country's Pace of Life). To fix that, we build different network snapshots starting from 55,000 seed users on Twitter, and we do so for 10 weeks across 30 countries (after filtering those with low penetration rates) for a total of 2.34 M profiles. Based on Hofstede's theory of cultural dimensions and Levine's Pace of Life theory, we consider three behavioral patterns on Twitter (i.e., temporal predictability of tweets, engaging with others, and supporting others who are less popular) and associate them with three different dimensions derived from the two theories: Pace of Life, Individualism and Power Distance. We find the following strong correlations: activity predictability negatively correlates with Pace of Life (r=-0.62), tweets with mentions negatively correlates with Individualism (r = -0.55), and power (e.g, Twitter popularity) imbalance in relationships (between, for example, two users mentioning each other) is correlated with Power Distance (r=0.62). These three cultural dimensions matter because they are associated with a country's socio-economic aspects - with GDP per capita, income inequality, and education expenditure.