Influence Analysis based on Political Twitter Data

Studies of online behavior often consider how users interact online, their posting behaviors, what they are tweeting about, and how likely they are to follow other people. The problem is there is that no deeper study on the people that a user has interacted with and how these other users affect them. This study examines if it is possible to draw similar sentiment from users with whom the target user has interacted with. The data collection process gathers data from Twitter users posting to popular political hashtags, which the highest at the time published were #MAGA and #TRUMP, as well as the tweets of people to whom they have tweeted. By applying weights based on the type of interactions as well as the amount, study how close the sentiments that the original user expressed are compared to the users they tweeted to. The weighting formula described above will be known as the Inferred Sentiment Score, or ISS for short. This study presents this scheme of gathering data to build user profiles and ISS to determine how similar a user’s sentimental expression is to the people they communicate with on Twitter. The main results of this study show that by using the ISS formula that there is a strong correlation of the sentiments expressed on Twitter by a user and the users that they communicate with

Mobilizing Global Knowledge

An examination of, and guide to, the challenges and responsibilities of doing research with displaced peoples while respecting their complex needs. In 2018, the United Nations High Commission for Refugees documented a record high 71.4 million displaced people around the world. As states struggle with the costs of providing protection to so many people and popular conceptions of refugees have become increasingly politicized and sensationalized, researchers have come together to form regional and global networks dedicated to working with displaced people to learn how to respond to their needs ethically, compassionately, and for the best interests of the global community. Mobilizing Global Knowledge brings together academics and practitioners to reflect on a global collaborative refugee research network. Together, the members of this network have had a wide-ranging impact on research and policy, working to bridge silos, sectors, and regions. They have addressed power and politics in refugee research, engaged across tensions between the Global North and Global South, and worked deeply with questions of practice, methodology, and ethics in refugee research. Bridging scholarship on network building for knowledge production and scholarship on research with and about refugees, Mobilizing Global Knowledge brings together a vibrant collection of topics and perspectives. It addresses ethical methods in research practice, the possibilities of social media for data collection and information dissemination, environmental displacement, transitional justice, and more. This is essential reading for anyone interested in how to create and share knowledge to the benefit of the millions of people around the world who have been forced to flee their homes