38 research outputs found
Mobilizing the Trump Train: Understanding Collective Action in a Political Trolling Community
Political trolls initiate online discord not only for the lulz (laughs) but
also for ideological reasons, such as promoting their desired political
candidates. Political troll groups recently gained spotlight because they were
considered central in helping Donald Trump win the 2016 US presidential
election, which involved difficult mass mobilizations. Political trolls face
unique challenges as they must build their own communities while simultaneously
disrupting others. However, little is known about how political trolls mobilize
sufficient participation to suddenly become problems for others. We performed a
quantitative longitudinal analysis of more than 16 million comments from one of
the most popular and disruptive political trolling communities, the subreddit
/r/The\_Donald (T\D). We use T_D as a lens to understand participation and
collective action within these deviant spaces. In specific, we first study the
characteristics of the most active participants to uncover what might drive
their sustained participation. Next, we investigate how these active
individuals mobilize their community to action. Through our analysis, we
uncover that the most active employed distinct discursive strategies to
mobilize participation, and deployed technical tools like bots to create a
shared identity and sustain engagement. We conclude by providing data-backed
design implications for designers of civic media
Understanding and Engaging Online Audiences
Social media has turned all of us into potential authors of content. This phenomenon has further facilitated the formation of new dynamic audiences -- all of whom center on the data we share. Although there have been several related analyses, most research assumes that the online audience is only an observer. This has led to the design of platforms that are adaptations of traditional marketing tools wherein audiences are surveyed and categorized anonymously and content authors have minimal interaction with them. The types of collaborations produced by such tools are limited.This research recognizes that the internet has transformed how authors and audiences operate. The thesis explores the dynamics of this emerging ecosystem, from authors, who share personal content with friends and family, to citizen reporters who collaborate with audiences to oppose drug cartels. The thesis demonstrates how to incorporate the understanding of these dynamics into the design of novel platforms. The thesis does this via individual case stories of such systems, for instance the prototype system “Hax,” which dynamically allows people to visualize relevant audiences for sharing and collaborating, or the tool Botivist, which dynamically recruits and assembles collective efforts with online audiences. The thesis discusses how, together, we can create a future where platforms produce a true symbiosis between authors and audiences to facilitate collective efforts
The Challenges and Trends of Deploying Blockchain in the Real World for the Users' Need
Blockchain technology is a decentralized and open database maintained by a peer-to-peer network, offering a "trustless trust" for untrusted parties. Despite the fact that some researchers consider blockchain as a bubble, blockchain technology has the genuine potential to solve problems across industries. In this article, we provide an overview of the development that Blockchain technology has had in 2018 and point out the challenges of deploying blockchain-based applications in the real world from a Human-Computer Interaction view. We propose that blockchain practitioners should design blockchain applications from users’ perspective, think about who the users are, and what they need. Furthermore, we also lay out possible future trends for blockchain based systems