“Software agents and haunted media : the twitter bot as political actor"

This report examines the rhetorical construction of Twitter bots as nonhuman political agents in press coverage of the 2016 U.S. election. It takes the rhetorical framing of “the Twitter bot” as a case study to argue that Twitter bots are a contemporary example of what media historian Jeffrey Sconce calls “haunted media” -- a communication technology that has been culturally ascribed an “uncanny” “agency.” First, this report provides a comparative close reading of two pieces from The Atlantic and The New York Times as examples of mainstream press coverage of bots shortly before and after the 2016 U.S. presidential election. Second, drawing on Sconce’s analysis of nineteenth and twentieth century media ecologies, it argues that “the Twitter bot” has been rhetorically constructed as haunted media through discourses that are inseparable from larger political narratives. The third and final section speculates on possible theoretical frameworks to expand this project in further inquiries. This report aims to demonstrate that haunted media narratives predate and persist beyond a specific election cycle or medium, and to argue that the construction of “haunted media” occurs alongside constructed concepts of democracy in our technologically mediated society. In doing so, this report contributes to the field of rhetoric of digital technology by bringing it further into conversation with political rhetoric.Englis

Is a Technological Singularity near also for bots in MMOGs?

Using the idea of the Technological Singularity this essay offers some reflections on the possible future of bots in Massively Multiplayer Online Games (MMOGs). The paper starts by briefly introducing the notion of Technological Singularity as the advent of a super-intelligent Artificial Intelligence that could threaten human existence. Bots are computer programs that automate repetitive and time consuming activities for the Internet user. In MMOGs, bots are often used to cheat and could have nefarious effects on the gameplay. Assuming that bots are rudimentary forms of Artificial Intelligence that also pose a threat to MMOGs and their players, the paper presents some evidence-based trends of the future evolution of bots and the implications of these for Virtual Worlds research

Chasing the Chatbots: Directions for Interaction and Design Research

Big tech-players have been successful in pushing the chatbots forward. Investments in the technology are growing fast, as well as the number of users and applications available. Instead of driving investments towards a successful diffusion of the technology, user-centred studies are currently chasing the popularity of chatbots. A literature analysis evidences how recent this research topic is, and the predominance of technical challenges rather than understanding users’ perceptions, expectations and contexts of use. Looking for answers to interaction and design questions raised in 2007, when the presence of clever computers in everyday life had been predicted for the year 2020, this paper presents a panorama of the recent literature, revealing gaps and pointing directions for further user-centred research

Bots in Wikipedia: Unfolding their duties

The success of crowdsourcing systems such as Wikipedia relies on people participating in these systems. However, in this research we reveal to what extent human and machine intelligence is combined to carry out semi-automatic workflows of complex tasks. In Wikipedia, bots are used to realize such combination of human-machine intelligence. We provide an extensive overview on various edit types bots carry out in this regard through the analysis of 1,639 approved task requests. We classify existing tasks by an action-object-pair structure and reveal existing differences in their probability of occurrence depending on the investigated work context. In the context of community services, bots mainly create reports, whereas in the area of guidelines or policies bots are mostly responsible for adding templates to pages. Moreover, the analysis of existing bot tasks revealed insights that suggest general reasons, why Wikipedia’s editor community uses bots as well as approaches, how they organize machine tasks to provide a sustainable service. We conclude by discussing how these insights can prepare the foundation for further research