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Pace of Life overall rank vs. average question entropy per country. Countries shown are the ones in our dataset for which a Pace of Life rank has been published. Countries are ranked in decreasing order of their Pace of Life value. A regression line is also shown.
Source publication
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 c...
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Citations
... Similarly, the massive growth of users and posts on crowdsourced QnA portals like Stack Overflow, Yahoo! Answers 1 , and Quora, have attracted the attention of researchers to study the dynamics of knowledge building on these portals [12][13][14][15][16]. Adding to the portal-specific analyses of knowledge building on wiki-based portals and QnA portals, inter-portal analyses would stimulate an ecosystem to give a broader perspective of knowledge building dynamics. ...
With the success of collaborative knowledge-building portals, such as Wikipedia, Stack Overflow, Quora, and GitHub, a class of researchers is driven towards understanding the dynamics of knowledge building on these portals. Even though collaborative knowledge building portals are known to be better than expert-driven knowledge repositories, limited research has been performed to understand the knowledge building dynamics in the former. This is mainly due to two reasons; first, unavailability of the standard data representation format, second, lack of proper tools and libraries to analyze the knowledge building dynamics.We describe Knowledge Data Analysis and Processing Platform (KDAP), a programming toolkit that is easy to use and provides high-level operations for analysis of knowledge data. We propose Knowledge Markup Language (Knol-ML), a generic representation format for the data of collaborative knowledge building portals. KDAP can process the massive data of crowdsourced portals like Wikipedia and Stack Overflow efficiently. As a part of this toolkit, a data-dump of various collaborative knowledge building portals is published in Knol-ML format. The combination of Knol-ML and the proposed open-source library will help the knowledge building community to perform benchmark analysis.Link of the repository: Verma et al. (2020)Video Tutorial: Verma et al. (2020)Supplementary Material: Verma et al. (2020)
... ico scores 30 and the US 91 in the individualism scale of Hofstede (Hofstede 1980)). This provides an explanation for the stronger links of tracts with higher number of Hispanic residents, as their online network structures reflect their shared values (Garcia-Gavilanes, Quercia, and Jaimes 2013;Kayes et al. 2015). Figure 8 shows the association between spatial diversity and demographic characteristics. ...
The social connections people form online affect the quality of information they receive and their online experience. Although a host of socioeconomic and cognitive factors were implicated in the formation of offline social ties, few of them have been empirically validated, particularly in an online setting. In this study, we analyze a large corpus of geo-referenced messages, or tweets, posted by social media users from a major US metropolitan area. We linked these tweets to US Census data through their locations. This allowed us to measure emotions expressed in the tweets posted from an area, the structure of social connections, and also use that area's socioeconomic characteristics in analysis. %We extracted the structure of online social interactions from the people mentioned in tweets from that area.We find that at an aggregate level, places where social media users engage more deeply with less diverse social contacts are those where they express more negative emotions, like sadness and anger. Demographics also has an impact: these places have residents with lower household income and education levels. Conversely, places where people engage less frequently but with diverse contacts have happier, more positive messages posted from them and also have better educated, younger, more affluent residents. Results suggest that cognitive factors and offline characteristics affect the quality of online interactions. Our work highlights the value of linking social media data to traditional data sources, such as US Census, to drive novel analysis of online behavior.
... Similarly, the massive growth of users and posts on crowdsourced QnA portals like Stack Overflow, Yahoo! Answers, and Quora, have attracted the attention of researchers to study the dynamics of knowledge building on these portals [9,14,20,34,36]. Adding to the portal-specific analyses of knowledge building on wiki-based portals and QnA portals, inter-portal analyses would stimulate an ecosystem to give a broader perspective of knowledge building dynamics. ...
... Notable differences in the usage of social media platforms across countries and cultures have been found in a wide variety of platforms, such as Foursquare [31], Yahoo! Answers [14], Twitter [9,25], and Google+ [20]. Moreover, previous studies show that, although Chinese sites like Renren and Weibo are technically very similar to Facebook and Twitter, their culture is perceived as more collectivist, suggesting that cultural background could be more important than the technology used in describing the observed usage differences [6,26]. ...
As one of the Web's primary multilingual knowledge sources, Wikipedia is read by millions of people across the globe every day. Despite this global readership, little is known about why users read Wikipedia's various language editions. To bridge this gap, we conduct a comparative study by combining a large-scale survey of Wikipedia readers across 14 language editions with a log-based analysis of user activity. We proceed in three steps. First, we analyze the survey results to compare the prevalence of Wikipedia use cases across languages, discovering commonalities, but also substantial differences, among Wikipedia languages with respect to their usage. Second, we match survey responses to the respondents' traces in Wikipedia's server logs to characterize behavioral patterns associated with specific use cases, finding that distinctive patterns consistently mark certain use cases across language editions. Third, we show that certain Wikipedia use cases are more common in countries with certain socio-economic characteristics; e.g., in-depth reading of Wikipedia articles is substantially more common in countries with a low Human Development Index. These findings advance our understanding of reader motivations and behaviors across Wikipedia languages and have implications for Wikipedia editors and developers of Wikipedia and other Web technologies.
... This result highlights the social component of culture: Hispanic cultures focus more on sociability values and are less individualist than anglo-saxon cultures (for example, Mexico scores 30 and the US 91 in the individualism scale of Hofstede (Hofstede 1980)). This provides an explanation for the stronger links of tracts with higher number of Hispanic residents, as their online network structures reflect their shared values (Garcia-Gavilanes, Quercia, and Jaimes 2013;Kayes et al. 2015). Figure 8 shows the association between spatial diversity and demographic characteristics. ...
The social connections people form online affect the quality of information they receive and their online experience. Although a host of socioeconomic and cognitive factors were implicated in the formation of offline social ties, few of them have been empirically validated, particularly in an on-line setting. In this study, we analyze a large corpus of geo-referenced messages, or tweets, posted by social media users from a major US metropolitan area. We linked these tweets to US Census data through their locations. This allowed us to measure emotions expressed in the tweets posted from an area, the structure of social connections, and also use that area's socioeconomic characteristics in analysis. We find that at an aggregate level, places where social media users engage more deeply with less diverse social contacts are those where they express more negative emotions, like sadness and anger. Demographics also has an impact: these places have residents with lower household income and education levels. Conversely, places where people engage less frequently but with diverse contacts have happier, more positive messages posted from them and also have better educated, younger, more affluent residents. Results suggest that cognitive factors and offline characteristics affect the quality of online interactions. Our work highlights the value of linking social media data to traditional data sources, such as US Census, to drive novel analysis of online behavior.
... In addition, users from France, Germany, and Italy showed different temporal usage patterns as well as trust in the plug-in's recommendation. Although our work focused on the analysis of an e-commerce plug-in, further country-specific usage patterns have already been identified for Q&A websites such as Yahoo Answers (see [28]) as well as StackOverflow and Superuser (see [44]). ...
Metrics for User Experience (UX) often involve traditional usability aspects, such as task success, but also mental aspects, such as interpretation and meaning. The actual experience of a user also highly depends on personal characteristics, such as the social and cultural background. In this paper, we investigate the relation between users’ country of origin and their interaction patterns with an e-commerce website plug-in. We used a quantitative web analytics approach based on six UX-related metrics to evaluate the applicability of a quantitative UX evaluation approach in an international context. In a 34 day study we analyzed the usage patterns of 5.843 French, 2.760 German, and 5.548 Italian website visitors and found that they show significantly different patterns. This indicates that website metrics are a suitable means for cost-effective UX analysis on a large scale, which can provide valuable starting points for a further in-depth analysis.
... This result highlights the social component of culture: Hispanic cultures focus more on sociability values and are less individualist than anglo-saxon cultures (for example, Mexico scores 30 and the US 91 in the individualism scale of Hofstede (Hofstede 1980)). This provides an explanation for the stronger links of tracts with higher number of Hispanic residents, as their online network structures reflect their shared values (Garcia-Gavilanes, Quercia, and Jaimes 2013;Kayes et al. 2015). Figure 8 shows the association between spatial diversity and demographic characteristics. ...
The social connections, or ties, individuals create affect their life
outcomes, for example, by providing novel information that leads to new jobs or
career opportunities. A host of socioeconomic and cognitive factors are
believed to affect social interactions, but few of these factors have been
empirically validated. In this research work, we extracted a large corpus of
data from a popular social media platform that consists of geo-referenced
messages, or tweets, posted from a major US metropolitan area. We linked these
tweets to US Census data through their locations. This allowed us to measure
emotions expressed in tweets posted from a specific area, and also use that
area's socioeconomic and demographic characteristics in the analysis. We
extracted the structure of social interactions from the people mentioned in
tweets from that area. We find that at an aggregate level, areas where social
media users engage in stronger, less diverse online social interactions are
those where they express more negative emotions, like sadness and anger. With
respect to demographics, these areas have larger numbers of Hispanic residents,
lower mean household income, and lower education levels. Conversely, areas with
weaker, more diverse online interactions are associated with happier, more
positive feelings and also have better educated, younger and higher-earning
residents. Our work highlights the value of linking social media data to
traditional data sources, such as US Census, to drive novel analysis of online
behavior.
... To the best of our knowledge, this is the first study of the association between users' privacy concerns and contribution behavior in CQA platforms via analysis of user activity logs. In our previous work on cultures in YA [17], we found that users' privacy concerns vary across cultures: users from individualistic countries are more concerned about their privacy compared to collectivistic countries. However, this work doesn't explore the relationship between users' privacy concerns and their contribution behavior. ...
... However, there has been no research on privacy concerns and user behavior in CQA platforms. Our previous work [17] on cultures in YA used Geert Hofstede's cultural dimensions [14], 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. ...
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.
This chapter aims to provide an overview of how culture is operationalized in HCI research.
The following exploratory study considers which macro-level factors can lead to the sharing economy being more popular in certain countries and less so in others. An example of commons-based peer production in the form of the level of contributing to Wikipedia in 24 European countries is used as a proxy for participation in the sharing economy. Demographic variables (number of native speakers, a proxy for population) and development ones (Human Development Index-level and internet penetration) are found to be less significant than cultural values (particularly self-expression and secular-rational axes of the Inglehart-Welzel model). Three clusters of countries are identified, with the Scandinavian/Baltic/Protestant countries being roughly five times as productive as the Eastern Europe/Balkans/Orthodox ones.
