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Social networking sites (SNS), such as Facebook and Twitter, are important spaces for political engagement. SNS have become common elements in political participation, campaigns, and elections. However, little is known about the dynamics between candidate posts and commentator sentiment in response to those posts on SNS. This study enriches computational political science by studying the 2016 U.S...
Recently, there have been considerable efforts to use online data to investigate international migration. These efforts show that Web data are valuable for estimating migration rates and are relatively easy to obtain. However, existing studies have only investigated flows of people along migration corridors, i.e. between pairs of countries. In our work, we use data about “places lived” from millions...
This paper describes a methodology approach and a tool dedicated to the exploration of the Twitter social stream by combining different contextual parameters such as time, keywords, gender or the opinion. The exploration can be made in two main modes depending on the fact that the phenomenon is either known or not. The first mode, similar to the use of Googlefight search engine, allows to compare...
Since several years, there is an increasing interest for new services based on the analysis of data coming from online social networks. Such services can, for example, provide the e-reputation of a product or a company, detect new trends in a commercial, social or political context, etc. The huge quantity of data is an opportunity in term of representativeness but is also difficult to manage. Within...
In this paper we study the temporal evolution of review ratings. We observe that on average ratings tend to become more polarized over time. To explain this phenomenon we propose a simple model that captures the tendency of users for rating manipulation. Simulations with our model demonstrate that it is successful in capturing the aggregate behavior of the users.
Social media is an important data source. Every day, billions of posts, likes, and connections are created by people around the globe. By monitoring it we can observe important topics, as well as find new topics of discussion as they emerge. However, within this source of information there are natural forms of bias. Different aspects of the sites lend themselves to bias, such as varying features that...
Consumer generated product reviews are considered as more persuasive than commercial advertising, and are now an important message source to make purchase decision. Nevertheless, firms may purposely hire spammers to create fake reviews to promote their products and to demote products of their competitors. To create the opinion majority, firms may hire a group of spammers rather than just one or few...
The paper discusses the bias of investors and the affect it has on the volatility of the stocks in the market. We also show how sentiment analysis can be run on the pulled tweets and why we chose the Microsoft Azure sentiment analyzer over the other commercial sentiment analyzer tools. Finally, we provide some future direction where we plan to take this research forward and conclude with some closing...
A traditional co-citation analysis may ignore the structure of articles. When reference was cited in different level, such as, chapter level, the contribution will be different. In this study, we define the strength of chapter level, different than the traditional co-citation analysis; this study investigated the situation of the citation by chapter level. We use the cosine similarity to measure the...
Covert sex trafficking networks are increasingly using information and communication technologies (ICTs) to extend their operations. There is a need for systematic research and methods for the study of technology facilitated sex trafficking. This study examined how publicly available information can be used to uncover covert sex trafficking networks. The intent was to transform the types of data available...
The use of social network analysis is used to identify possible victims of sex trafficking and the observation of domestic trafficking flows across the U.S. A novel approach to the analysis is presented with the understanding further development is needed. Online escort advertisements were analyzed for virtual indicators of sex trafficking and to identify patterns of activity that may be associated...
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