Christian Grimme,Mike Preuss,Lena Adam et al.
Christian Grimme et al.
Social bots are currently regarded an influential but also somewhat mysterious factor in public discourse and opinion making. They are considered to be capable of massively distributing propaganda in social and online media, and their appli...
David Sathiaraj,William M Cassidy Jr,Eric Rohli
David Sathiaraj
The problem of accurately predicting vote counts in elections is considered in this article. Typically, small-sample polls are used to estimate or predict election outcomes. In this study, a machine-learning hybrid approach is proposed. Thi...
Vasant Dhar
Vasant Dhar
Japan's 2014 General Election: Political Bots, Right-Wing Internet Activism, and Prime Minister Shinzō Abe's Hidden Nationalist Agenda [0.03%]
日本的2014年大选：政治机器人、右翼网络运动以及安倍晋三隐藏的民族主义议程
Fabian Schäfer,Stefan Evert,Philipp Heinrich
Fabian Schäfer
In this article, we present results on the identification and behavioral analysis of social bots in a sample of 542,584 Tweets, collected before and after Japan's 2014 general election. Typical forms of bot activity include massive Retweeti...
On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products [0.03%]
机器学习的安全性：网络物理系统、决策科学和数据产品
Kush R Varshney,Homa Alemzadeh
Kush R Varshney
Machine learning algorithms increasingly influence our decisions and interact with us in all parts of our daily lives. Therefore, just as we consider the safety of power plants, highways, and a variety of other engineered socio-technical sy...
Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping [0.03%]
基于邻居引导自助法的大规模电子健康记录中疾病的空间模式识别
Maria T Patterson,Robert L Grossman
Maria T Patterson
We introduce a method called neighbor-based bootstrapping (NB2) that can be used to quantify the geospatial variation of a variable. We applied this method to an analysis of the incidence rates of disease from electronic medical record data...
Editorial
Big data. 2017 Sep;5(3):175-176. DOI: 2017
Manu Shukla,Raimundo Dos Santos,Feng Chen et al.
Manu Shukla et al.
Storytelling connects entities (people, organizations) using their observed relationships to establish meaningful storylines. This can be extended to spatiotemporal storytelling that incorporates locations, time, and graph computations to e...
Vasant Dhar
Vasant Dhar
Editorial
Big data. 2017 Sep;5(3):173-174. DOI: 2017
Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals [0.03%]
增强针对个体的基于数据推理的透明度和控制力
Daizhuo Chen,Samuel P Fraiberger,Robert Moakler et al.
Daizhuo Chen et al.
Recent studies show the remarkable power of fine-grained information disclosed by users on social network sites to infer users' personal characteristics via predictive modeling. Similar fine-grained data are being used successfully in other...