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The objective of this paper is to explore how cybersecurity policies pertaining to data privacy, data acquisition, data fusion and data mining, impact the feasibility and functionality of Dynamic Data Driven Application Systems (DDDAS). In this work, a social media network model, will serve as the DDDAS of study in order to reveal how varying cybersecurity policies, could alter the functionality and...
This study reports how senior citizens domesticate their personal mobile devices at the beginning of learning process in an adult education class. The aim of this study was to examine how seniors integrate their mobile devices into their personal education experience, what sort of processes were experienced to render the devices useful and meaningful, and how gender and information literacy influenced...
People nowadays would rather spend less time with their friends than on the services like Facebook or Twitter on their smartphones. Many business and enterprises start to use software robot to promote their products and interact with customers with less cost and more efficiency. Due to various APIs from different social platforms, developers have to follow specific rules while developing robots. Therefore,...
Microblogging and social networking sites have become a popular means of communication channels among internet users. They provide tools for people to voice their opinions. These sites contain vast amounts of opinionated data, leading to an increased growth in research on sentiment analysis and opinion mining. The study aims at using Twitter, a major and popular platform for microblogging and social...
Bad news travels fast. Although this concept may be intuitively accepted, there has been little evidence to confirm that the propagation of bad news differs from that of good news. In this paper, we examine the effect of user perspective on his or her sharing of a controversial news story. Social media not only offers insight into human behavior but has also developed as a source of news. In this...
We develop a warped correlation finder to identify correlated user accounts in social media websites such as Twitter. The key observation is that humans cannot be highly synchronous for a long duration, thus, highly synchronous user accounts are most likely bots. Existing bot detection methods are mostly supervised, which requires a large amount of labeled data to train, and do not consider cross-user...
In 2010 the popular paper by Kwak et al. [11] presented the first comprehensive study of Twitter as it appeared in 2009, using most of the Twitter network at the time. Since then, Twitter's popularity and usage has exploded, experiencing a 10-fold increase. As of 2015, it has more than 500 million users, out of which 316 million are active, i.e. logging into the service at least once a month.1 In...
Sentiment classification has gained much attention in big data era. Most existing methods rely on bag-of-words model, which disregard contextual information. In many cases however, the sentiment strength of a word is implicitly associated with its part of speech and context. In this paper, we present a WWE (weighted word embeddings) method that combines word embeddings and part-of-speech (POS) tagging...
This paper examines the differences of design between Chinese and western social media. Using a blandness in society of Francis Jullien's interpretation approach, this paper analyzes the mainstream social media, found that both Chinese and western social media design concept have the characteristic of being "as pleasing to the taste as new wine" in terms of social communication; comparing...
Mozambique has been affected by multiple conflicts since colonial rule. This paper proposes an e-PAZ Early Warning System that helps in identifying potential conflicts. The system filters conflict related news from social media. It also offers geographic and socioeconomic information of the conflict zone. It provides qualitative and quantitative analysis on the past conflicts and gives user an open...
Privacy violation cases are repeatedly reported by users of various photo sharing services. To avoid violating other's privacy unintentionally, visual abstraction techniques could be applied to blur photogenic persons at sufficient level so that they cannot be identified. From the result of our online survey conducted among 5,000 samples and Price Sensitive Measurement analysis, we succeeded in finding...
Because of the spread of using social networking service in various situations, it is becoming easier to transmit information. However, the communication channel of SNS has some negative aspects like a lack of rich expressions of information compared to the communication channel of face-to-face (FTF). Also, in the FTF communication environment, it is necessary to improve a limitation of room or costs...
In this paper, we propose an architecture for personalizing information retrieval (IR), exploiting the interactions between the user and the social network. We use an extension of a Dung argumentation framework to show how the precision of the personalized information retrieval system could be improved. We use also social media and search history to define the user-profile which is represented by...
Social media have transformed the world in which we live. Although several studies have uncovered forms of customer engagement on social media, there is a scarcity of academic research on customer engagement within the grocery sector. This study therefore aims to address this gap in the literature and shed light on the various ways customers engage with grocery stores on Facebook. Netnography is used...
The integration of social media technologies with second screen devices facilitates the social interaction concerning online broadcasted media events that we refer to as the social soundtrack. For this research, we assess the change of Super Bowl 2015 related conversations on various social media platforms, namely Twitter, Instagram and Tumblr via categories (commercials, musicals and game) for three...
Constructing topic hierarchies from the dataautomatically can help us better understand the contents andstructure of information and benefit many applications insecurity informatics. The existing topic hierarchy constructionmethods either need to specify the structure manually, or arenot robust enough for sparse and noisy social media data suchas microblog. In this paper, we propose an approach toautomatically...
Underage drinking or adolescent alcohol use is a major public health problem that causes more than 4,300 annual deaths. Traditional methods for monitoring adolescent alcohol consumption are based on surveys, which have many limitations and are difficult to scale. The main limitations include 1) respondents may not provide accurate, honest answers, 2) surveys with closed-ended questions may have a...
The growing trends and the rapid developments of technological innovation have led to a new way of communication. These developments have seen individuals and organizations spending a lot of money on technological devices, software and applications much higher than ever before. On the other hand, institutions of learning are also advancing with technological innovations by shifting away from the face-to-face...
This study presents an assessment of multiple approaches to determine the home and/or other important locations to a Twitter user. In this study, we present a unique approach to the problem of geotagged data sparsity in social media when performing geoinferencing tasks. Given the sparsity of explicitly geotagged Twitter data, the ability to perform accurate and reliable user geolocation from a limited...
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