Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Social Media
The Alt-Right And Global Information Warfare, Emmi Bevensee, Alexander Ross
The Alt-Right And Global Information Warfare, Emmi Bevensee, Alexander Ross
Geography Faculty Publications and Presentations
The Alt-Right is a neo-fascist white supremacist movement that is involved in violent extremism and shows signs of engagement in extensive disinformation campaigns. Using social media data mining, this study develops a deeper understanding of such targeted disinformation campaigns and the ways they spread. It also adds to the available literature on the endogenous and exogenous influences within the US far right, as well as motivating factors that drive disinformation campaigns, such as geopolitical strategy. This study is to be taken as a preliminary analysis to indicate future methods and follow-on research that will help develop an integrated approach to …
Do Directionality And Network Size Affect Network Structure In Online Social Networks?, Nitin V. Mayande, Charles Weber
Do Directionality And Network Size Affect Network Structure In Online Social Networks?, Nitin V. Mayande, Charles Weber
Engineering and Technology Management Faculty Publications and Presentations
A study of the online social networks of six Twitter conversations about six YouTube product categories reveals that directionality and network size affect the structure of online social networks. Our results indicate that large networks tend to be non-random, regardless of whether they are directional or not, suggesting that structural attributes of the online networks under study are a true reflection of network's features. Smaller non-directional networks also tend to be non-random, whereas smaller directional networks tend to be random in nature. However, very small networks tend to be random in nature, whether they are directional or not. Our results …
Deploying Natural Language Processing To Extract Key Product Features Of Crowdfunding Campaigns: The Case Of 3d Printing Technologies On Kickstarter, Nina Chaichi, Tim R. Anderson
Deploying Natural Language Processing To Extract Key Product Features Of Crowdfunding Campaigns: The Case Of 3d Printing Technologies On Kickstarter, Nina Chaichi, Tim R. Anderson
Engineering and Technology Management Faculty Publications and Presentations
In the technology management field, informal source of information such as social media has been used for technology mining, leader user detection, and etc. However, usually unstructured nature of the informal information introduces some challenges. This study is part of an effort to automate key product features extraction from crowdfunding campaign's textual information, in order to analyze the effect of them on the decision-making process of crowdfunding backers. This paper intends to evaluate the performance of UDPipe R package and six keyword extraction techniques on candidate features selection from textual data of 3D printer campaigns on Kickstarter. In the end, …