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Measuring user credibility in social media
- In Social Computing, Behavioral-Cultural Modeling and Prediction
, 2013
"... Abstract. People increasingly use social media to get first-hand news and information. During disasters such as Hurricane Sandy and the tsunami in Japan people used social media to report injuries as well as send out their requests. During social movements such as Occupy Wall Street (OWS) and the Ar ..."
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Abstract. People increasingly use social media to get first-hand news and information. During disasters such as Hurricane Sandy and the tsunami in Japan people used social media to report injuries as well as send out their requests. During social movements such as Occupy Wall Street (OWS) and the Arab Spring, people extensively used social media to organize their events and spread the news. As more people rely on social media for political, social, and business events, it is more susceptible to become a place for evildoers to use it to spread misinformation and rumors. Therefore, users have the challenge to discern which piece of information is credible or not. They also need to find ways to assess the credibility of information. This problem becomes more important when the source of the information is not known to the consumer. In this paper we propose a method to measure user credibility in social media. We study the situations in which we cannot assess the credibility of the content or the credibility of the user (source of the information) based on the user’s profile. We propose the CredRank algorithm to measure user credibility in social media. The algorithm analyzes social media users ’ online behavior to measure their credibility.
Supporting Team Coordination on the Ground: Requirements from a Mixed Reality Game
"... © Springer 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive version was published at ..."
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© Springer 2014. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive version was published at
How and where do criminals operate? Using Google to track Mexican drug trafficking organizations
, 2012
"... Abstract We develop a tool that uses Web content to obtain quantitative information about the mobility and modus operandi of criminal groups, information that would otherwise require the operation of large scale, expensive intelligence exercises to be obtained. Exploiting indexed reliable sources s ..."
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Abstract We develop a tool that uses Web content to obtain quantitative information about the mobility and modus operandi of criminal groups, information that would otherwise require the operation of large scale, expensive intelligence exercises to be obtained. Exploiting indexed reliable sources such as online newspapers and blogs, we use unambiguous query terms and Google's search engine to identify the areas of operation of criminal organizations, and to extract information about the particularities of their mobility patters. We apply our tool to Mexican criminal organizations to identify their market strategies, their preferred areas of operation, and the way in which these have evolved over the last two decades. By extracting this knowledge, we provide crucial information for academics and policy makers increasingly interested in organized crime. Our findings provide evidence that criminal organizations are more strategic and operate in more differentiated ways than current academic literature had suggested.
Recover Faster from Disaster: Success Factors for a Crowdsourcing Platform Martijn Neef
"... ABSTRACT In this paper, we present a model that identifies seven success factors for the development of crowdsourcing platforms for disaster recovery. This model integrates two existing theories. The first theory focuses on success factors of crowdsourcing initiatives in general. The second theory ..."
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ABSTRACT In this paper, we present a model that identifies seven success factors for the development of crowdsourcing platforms for disaster recovery. This model integrates two existing theories. The first theory focuses on success factors of crowdsourcing initiatives in general. The second theory states how disaster relief operations can improve when they take the psychological components of resilience into account. By merging the core principles of these two theories and adding additional knowledge gained from literature study, we constructed an integrated success factor model for use in the development of crowdsourcing applications for disaster recovery. An initial validation of the success factor model was conducted within a case study on a crowdsourcing platform for disaster recovery which is currently being developed. Conclusions are drawn with regards to the applicability of the model to guide development of crowdsourcing platforms for disaster recovery.
An Agent-Based Model of Urgent Diffusion in Social Media
"... Abstract. With the growth of the use of social media, information is exchanged faster than ever. Understanding this diffusion of information is critical to planning for time sensitive events and situations. However, most traditional models of diffusion do not work well in situations where outside ev ..."
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Abstract. With the growth of the use of social media, information is exchanged faster than ever. Understanding this diffusion of information is critical to planning for time sensitive events and situations. However, most traditional models of diffusion do not work well in situations where outside events are occurring at almost the same rate as diffusion dynamics within the network. In this paper, we present two models that provide insight into urgent diffusion dynamics using agent-based modeling. We fit these models to data drawn from four major urgent diffusion events including: (1) the capture of Osama Bin Laden, (2) Hurricane Irene, (3) Hurricane Sandy, and (4) Election Night 2012. We show that in some cases social networks play a large role in the diffusion of information and in other cases they do not, and discuss the robustness of our models to a wider variety of urgent diffusion situations.
Developing a Tagalog Linguistic Inquiry and Word Count (LIWC) ‘Disaster ’ Dictionary for Understanding Mixed Language Social Media:
"... In the wake of super typhoon Yolanda (known internationally as Haiyan) in the Philippines in 2013, many individuals in the Philippines turned to social media to express their thoughts and emotions in a variety of languages. In order to under-stand and analyze the sentiment of pop-ulations on the gro ..."
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In the wake of super typhoon Yolanda (known internationally as Haiyan) in the Philippines in 2013, many individuals in the Philippines turned to social media to express their thoughts and emotions in a variety of languages. In order to under-stand and analyze the sentiment of pop-ulations on the ground, we used a novel approach of developing a conceptual Lin-guistic Inquiry and Word Count (LIWC) dictionary comprised of Tagalog words re-lating to disaster. This work-in-progress paper documents our process of filtering and choosing terms and offers suggestions for validating the dictionary. When results on how the dictionary was used are avail-able, we can better assess the process for creating conceptual LIWC dictionaries. 1
