Matching Items (9)
Description
With the advent of social media (like Twitter, Facebook etc.,) people are easily sharing their opinions, sentiments and enforcing their ideologies on others like never before. Even people who are otherwise socially inactive would like to share their thoughts on current affairs by tweeting and sharing news feeds with their friends and acquaintances. In this thesis study, we chose Twitter as our main data platform to analyze shifts and movements of 27 political organizations in Indonesia. So far, we have collected over 30 million tweets and 150,000 news articles from RSS feeds of the corresponding organizations for our analysis. For Twitter data extraction, we developed a multi-threaded application which seamlessly extracts, cleans and stores millions of tweets matching our keywords from Twitter Streaming API. For keyword extraction, we used topics and perspectives which were extracted using n-grams techniques and later approved by our social scientists. After the data is extracted, we aggregate the tweet contents that belong to every user on a weekly basis. Finally, we applied linear and logistic regression using SLEP, an open source sparse learning package to compute weekly score for users and mapping them to one of the 27 organizations on a radical or counter radical scale. Since, we are mapping users to organizations on a weekly basis, we are able to track user's behavior and important new events that triggered shifts among users between organizations. This thesis study can further be extended to identify topics and organization specific influential users and new users from various social media platforms like Facebook, YouTube etc. can easily be mapped to existing organizations on a radical or counter-radical scale.
ContributorsPoornachandran, Sathishkumar (Author) / Davulcu, Hasan (Thesis advisor) / Sen, Arunabha (Committee member) / Woodward, Mark (Committee member) / Arizona State University (Publisher)
Created2013
Description
Using models identified by communications scholars Herbert W. Simons and Charles J. Stewart, a rhetorical analysis was conducted on contemporary Tea Party Movement (TPM) artifacts in an attempt to gauge the movement's authenticity as it relates to grassroots advocacy versus astroturfing. The models provided a theoretical framework in which the functions of social movement leaders were analyzed, as well as the rhetorical phases of a movement. Additionally, the notions of advocacy and astroturfing were defined and the concepts compared and contrasted. Used in conjunction with one another the models provided a framework in which TPM artifacts could be analyzed. Analysis was conducted on the websites for the Tea Party Patriots and Tea Party Express, a one-month sample of Sarah Palin FaceBook posts, two speeches delivered by Michelle Bachmann, and finally one speech given by Palin. Examples for each of the necessary rhetorical components identified were found within TPM sources, thus leading to the conclusion that the TPM operates primarily as a grassroots advocacy movement.
ContributorsZukowski, Kassandra (Author) / Holmer Nadesan, Majia (Thesis advisor) / Mean, Lindsey (Committee member) / Eric Ramsey, Ramsey (Committee member) / Arizona State University (Publisher)
Created2011
Description
More than a decade after the events of September 11, the kinetic conflict between U.S. forces and Islamist extremist groups continues, albeit in a more limited fashion. In the post 9/11 decade there has been increased recognition that factors such as globalization, economic insecurity, regional political unrest, and the rapid advancement and diffusion of communication technologies will continue to influence the nature of international warfare for the foreseeable future. Industrial, interstate wars between sanctioned armies (Kilcullen, 2007; Tatham, 2008) is giving way to asymmetric forms of conflict exemplified by the conflict between the U.S. and its allies, and al Qaeda and ideological affiliates like al Qaeda in the Arabian Peninsula (Kilcullen, 2004; Potomac Institute for Policy Studies, 2007). This shift has brought counterinsurgency (Petraeus, 2008) tactics to the forefront of policy discussion. A result of this focus on counterinsurgency efforts is increased interest in strategic communication (stratcom) (Nagl, Amos, Sewall, & Petraeus, 2008; Paul, 2009) and the function of narrative (Roberts, 2007) in kinetic conflict (Zalman, 2010). The U.S. has been said to be "losing the battle of narrative" to the extent that the Chairman of the Joint Chiefs has spoken of the need to "supplant the extremist narrative" (Mullen, 2009). Understanding how narrative functions in ideologically driven organizing (IDO) remains under developed, however. Little empirical research has examined how al Qaeda's use of narrative contributes to organizational success. Drawing on the tradition of narrative in organizational communication scholarship (Alvesson & Willmott, 2002; Ashcraft & Mumby, 2004) this project interrogates al Qaeda's use of narrative from an identity perspective, exploring the ways in which narrative is constitutive of identity at individual and organizational levels. The analysis focuses on public communication produced by al Qaeda, intended for various stakeholder audiences including potential recruits, the broader Muslim community, and adversaries such as the United States and its allies. This project makes practical contributions to U.S. public policy and countering violent extremism (CVE) efforts, offering rigorous empirical examination of the ways in which al Qaeda uses narrative to construct individual and organizational identity. Theoretical contributions are made by extending existing organizational scholarship into a currently under-developed area: ideologically driven conflict.
ContributorsFleischer, Kristin (Author) / Alberts, Janet K (Thesis advisor) / Furlow, Richard (Committee member) / Trethewey, Angela (Committee member) / Arizona State University (Publisher)
Created2017
Description
Unmanned aerial vehicles have received increased attention in the last decade due to their versatility, as well as the availability of inexpensive sensors (e.g. GPS, IMU) for their navigation and control. Multirotor vehicles, specifically quadrotors, have formed a fast growing field in robotics, with the range of applications spanning from surveil- lance and reconnaissance to agriculture and large area mapping. Although in most applications single quadrotors are used, there is an increasing interest in architectures controlling multiple quadrotors executing a collaborative task. This thesis introduces a new concept of control involving more than one quadrotors, according to which two quadrotors can be physically coupled in mid-flight. This concept equips the quadro- tors with new capabilities, e.g. increased payload or pursuit and capturing of other quadrotors. A comprehensive simulation of the approach is built to simulate coupled quadrotors. The dynamics and modeling of the coupled system is presented together with a discussion regarding the coupling mechanism, impact modeling and additional considerations that have been investigated. Simulation results are presented for cases of static coupling as well as enemy quadrotor pursuit and capture, together with an analysis of control methodology and gain tuning. Practical implementations are introduced as results show the feasibility of this design.
ContributorsLarsson, Daniel (Author) / Artemiadis, Panagiotis (Thesis advisor) / Marvi, Hamidreza (Committee member) / Berman, Spring (Committee member) / Arizona State University (Publisher)
Created2016
DescriptionProvides an overview of strategies to network and communicate with those who influence policy creation.
ContributorsStigler, Monica L., Ph.D. (Author)
Created2020-12-02
DescriptionProvides detailed strategies to network and communicate with those who influence policy creation.
ContributorsStigler, Monica L., Ph.D. (Author)
Created2020-12-02
DescriptionProvides strategies for creating succinct presentations intended to persuade social policy decisionmakers.
ContributorsStigler, Monica L., Ph.D. (Author)
Created2020-08-01
DescriptionProvides strategies to network and communicate with those who influence policy creation.
ContributorsStigler, Monica L., Ph.D. (Author)
Created2020-12-02
Description
There has been a vast increase in applications of Unmanned Aerial Vehicles (UAVs) in civilian domains. To operate in the civilian airspace, a UAV must be able to sense and avoid both static and moving obstacles for flight safety. While indoor and low-altitude environments are mainly occupied by static obstacles, risks in space of higher altitude primarily come from moving obstacles such as other aircraft or flying vehicles in the airspace. Therefore, the ability to avoid moving obstacles becomes a necessity
for Unmanned Aerial Vehicles.
Towards enabling a UAV to autonomously sense and avoid moving obstacles, this thesis makes the following contributions. Initially, an image-based reactive motion planner is developed for a quadrotor to avoid a fast approaching obstacle. Furthermore, A Dubin’s curve based geometry method is developed as a global path planner for a fixed-wing UAV to avoid collisions with aircraft. The image-based method is unable to produce an optimal path and the geometry method uses a simplified UAV model. To compensate
these two disadvantages, a series of algorithms built upon the Closed-Loop Rapid Exploratory Random Tree are developed as global path planners to generate collision avoidance paths in real time. The algorithms are validated in Software-In-the-Loop (SITL) and Hardware-In-the-Loop (HIL) simulations using a fixed-wing UAV model and in real flight experiments using quadrotors. It is observed that the algorithm enables a UAV to avoid moving obstacles approaching to it with different directions and speeds.
for Unmanned Aerial Vehicles.
Towards enabling a UAV to autonomously sense and avoid moving obstacles, this thesis makes the following contributions. Initially, an image-based reactive motion planner is developed for a quadrotor to avoid a fast approaching obstacle. Furthermore, A Dubin’s curve based geometry method is developed as a global path planner for a fixed-wing UAV to avoid collisions with aircraft. The image-based method is unable to produce an optimal path and the geometry method uses a simplified UAV model. To compensate
these two disadvantages, a series of algorithms built upon the Closed-Loop Rapid Exploratory Random Tree are developed as global path planners to generate collision avoidance paths in real time. The algorithms are validated in Software-In-the-Loop (SITL) and Hardware-In-the-Loop (HIL) simulations using a fixed-wing UAV model and in real flight experiments using quadrotors. It is observed that the algorithm enables a UAV to avoid moving obstacles approaching to it with different directions and speeds.
ContributorsLin, Yucong (Author) / Saripalli, Srikanth (Thesis advisor) / Scowen, Paul (Committee member) / Fainekos, Georgios (Committee member) / Thangavelautham, Jekanthan (Committee member) / Youngbull, Cody (Committee member) / Arizona State University (Publisher)
Created2015