This thesis explores the inverse relationship between Fake News and Deep Reading, considering that the former is growing and the latter is declining. Of its two aims, the first is to explain why...Show moreThis thesis explores the inverse relationship between Fake News and Deep Reading, considering that the former is growing and the latter is declining. Of its two aims, the first is to explain why these trends might be occurring. The second and more important aim is to explore whether reversing the Deep Reading trend - in other words, not only stemming the loss of this skill but promoting it and increasing its prevalence in society - would lead to a subsequent reverse in the Fake News trend, reducing its influence, and, subsequently, its volume.Show less
With 300 million monthly active users, Twitter is a global social media platform embedded in everyday communication and information diffusion. As a result, it has attracted a wide range of...Show moreWith 300 million monthly active users, Twitter is a global social media platform embedded in everyday communication and information diffusion. As a result, it has attracted a wide range of scholarly disciplines, studying its data, resulting in hundreds of studies that utilized Twitter’s data. This thesis will focus on the challenges and potential of using Twitter data for Humanities. As every social media platform has its unique dynamics, Twitters structure will be explored to see how it relates to the research questions applied to it. The process of increasing policy-orientated measures, will be described to illustrate how Twitter data is a valuable, and therefore limited accessible form of information. A number of studies is analyzed to explore potential methods and the results. Finally, a case study will be executed to demonstrate both the challenges and potential for humanities students. The focus will be on how Twitter’s 140 character long tweets can eventually be used to attribute to the greater stories written about human society and culture.Show less
