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A Cross-Cultural Framework for Protecting User Privacy in Online Social Media
"... Social media has become truly global in recent years. We argue that support for users ’ privacy, however, has not been extended equally to all users from around the world. In this paper, we survey existing literature on cross-cultural privacy issues, giving particular weight to work specific to onli ..."
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Social media has become truly global in recent years. We argue that support for users ’ privacy, however, has not been extended equally to all users from around the world. In this paper, we survey existing literature on cross-cultural privacy issues, giving particular weight to work specific to online social networking sites. We then propose a framework for evaluating the extent to which social networking sites ’ privacy options are offered and communicated in a manner that supports diverse users from around the world. One aspect of our framework focuses on cultural issues, such as norms regarding the use of pseudonyms or posting of photographs. A second aspect of our framework discusses legal issues in cross-cultural privacy, including data-protection requirements and questions of jurisdiction. The final part of our framework delves into user expectations regarding the data-sharing practices and the communication of privacy information. The framework can enable service providers to identify potential gaps in support for user privacy. It can also help researchers, regulators, or consumer advocates reason systematically about cultural differences related to privacy in social media.
LabintheWild: Conducting Large-Scale Online Experiments With Uncompensated Samples,” in “Computer Supported Cooperative Work and Social Computing (CSCW)” 2015
- Resnick, Paul, Eytan Adar, and Cliff Lampe, “What Social Media Data
"... ABSTRACT Web-based experimentation with uncompensated and unsupervised samples has the potential to support the replication, verification, extension and generation of new results with larger and more diverse sample populations than previously seen. We introduce the experimental online platform Labi ..."
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ABSTRACT Web-based experimentation with uncompensated and unsupervised samples has the potential to support the replication, verification, extension and generation of new results with larger and more diverse sample populations than previously seen. We introduce the experimental online platform LabintheWild, which provides participants with personalized feedback in exchange for participation in behavioral studies. In comparison to conventional in-lab studies, LabintheWild enables the recruitment of participants at larger scale and from more diverse demographic and geographic backgrounds. We analyze Google Analytics data, participants' comments, and tweets to discuss how participants hear about the platform, and why they might choose to participate. Analyzing three example experiments, we additionally show that these experiments replicate previous in-lab study results with comparable data quality.
Approval voting behavior in doodle polls.
- In The 5th Workshop on Computational Social Choice,
, 2014
"... Abstract Doodle is a simple and popular online system for scheduling events. It is an implementation of the approval voting mechanism, where candidates are the time slots and each responder approves a subset of the slots. We analyze all the Doodle polls created in the US from JulySeptember 2011 (ov ..."
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Abstract Doodle is a simple and popular online system for scheduling events. It is an implementation of the approval voting mechanism, where candidates are the time slots and each responder approves a subset of the slots. We analyze all the Doodle polls created in the US from JulySeptember 2011 (over 340,000 polls), consisting of both hidden polls (where you cannot see other people's votes) and open polls (where you can see all the previous responses). By analyzing the differences in behavior in hidden and open polls, we gain unique insights into strategies that people apply in natural voting settings. Responders in open polls are more likely to approve slots that are very popular or very unpopular, but not intermediate slots. We show that this behavior is inconsistent with models that have been proposed in the voting literature, and propose a new model based on combining personal and social utilities to explain the data.
BallotShare exploring the design space of digital voting in a workplace environment
- Computers in Human Behaviour
, 2014
"... Abstract Digital voting is used to support group decision-making in a variety of contexts ranging from politics to mundane everyday collaboration, and the rise in popularity of digital voting has provided an opportunity to re-envision voting as a social tool that better serves democracy. A key desi ..."
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Abstract Digital voting is used to support group decision-making in a variety of contexts ranging from politics to mundane everyday collaboration, and the rise in popularity of digital voting has provided an opportunity to re-envision voting as a social tool that better serves democracy. A key design goal for any group decisionmaking system is the promotion of participation, yet there is little research that explores how the features of digital voting systems themselves can be shaped to configure participation appropriately. In this paper we propose a framework that explores the design space of digital voting from the perspective of participation. We ground our discussion in the design of a social media polling tool called BallotShare; a first instantiation of our proposed framework designed to facilitate the study of decision-making practices in a workplace environment. Across five weeks, participants created and took part in non-standard polls relating to events and other spontaneous group decisions. Following interviews with participants we identified significant drivers and limitations of individual and collective participation in the voting process: social visibility, social inclusion, commitment and delegation, accountability, influence and privacy.
Mind the Map: The Impact of Culture and Economic Affluence on Crowd-Mapping Behaviours
"... Crowd-mapping is a form of collaborative work that empowers citizens to collect and share geographic knowledge. Open-StreetMap (OSM) is a successful example of such paradigm, where the goal of building and maintaining an accurate global map of the changing world is being accomplished by means of loc ..."
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Crowd-mapping is a form of collaborative work that empowers citizens to collect and share geographic knowledge. Open-StreetMap (OSM) is a successful example of such paradigm, where the goal of building and maintaining an accurate global map of the changing world is being accomplished by means of local contributions made by over 1.2M citizens. While OSM has been subject to many country-specific studies, the relationship between national culture and economic affluence and users ’ participation has been so far unexplored. In this work, we systematically study the link between them: we characterise OSM users in terms of who they are, how they contribute, during what period of time, and across what geographic areas. We find strong correlations between these characteristics and national culture factors (e.g., power distance, individualism, pace of life, self expression), and well as Gross Domestic Product per capita. Based on these findings, we discuss design issues that developers of crowd-mapping services should consider to account for cross-cultural differences. Author Keywords OSM, crowd-sourcing, volunteered geographic information, cross-cultural
Yahoo! Labs, Barcelona
"... In many creative work environments, serendipitous inter-actions between members of different groups may lead to enhanced productivity, collaboration and knowledge dis-semination. Two factors that may have an influence on such interactions are cultural differences between indi-viduals in highly multi ..."
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In many creative work environments, serendipitous inter-actions between members of different groups may lead to enhanced productivity, collaboration and knowledge dis-semination. Two factors that may have an influence on such interactions are cultural differences between indi-viduals in highly multicultural workplaces, and the lay-out and physical spaces of the workplace itself. In this work, we investigate how these two factors may facilitate or hinder inter-group interactions in the workplace. We analyze traces collected using wearable electronic badges to capture face-to-face interactions and mobility patterns of employees in a research laboratory in the UK. We ob-serve that those who interact with people of different roles tend to come from collectivist cultures that value relationships and where people tend to be comfortable with social hierarchies, and that some locations in par-ticular are more likely to host serendipitous interactions, knowledge that could be used by organizations to en-hance communication and productivity.