***2017 Dissertation Completion Award, University of Georgia***
Abstract: In studying how activists use technology to express public dissatisfaction online, we discover that what we assumed to be human protestors were in some cases bots—automated accounts in online social networks. To explicate the discovery of bots, we problematize an implicit assumption of online social network research within Information Systems and Management as it pertains to the concept of actors. Our discovery takes place in the context of a 6-day inductive case study of a protest against government corruption in Brazil—the Mensalão scandal. We elaborate on how bots were detected and discuss how they are coded to amplify the magnitude of the protest on Twitter. Further, we explore the application of bots beyond the context of our study by illustrating how they were used to increase revenue in the business of online dating and to manipulate public opinion during an election campaign. We also discuss how neglecting bots can threaten research validity and, as a result, we provide scholars investigating social phenomena online with a multi-method approach for detecting bots. Finally, we position bot as a crucial actor with implications for organizational theory and practice.
Figure: Mensalão Twitter Network (#changebrazil - Sept 17-22, 2013)
Abstract: Answering this question requires us to reflect on moral goods and moral evils, on laws, duties, and norms, on actions and their consequences. In this Viewpoint article, we draw on information systems ethics, to present Bot Ethics, a procedure the general social media community can use to decide whether the actions of social bots are unethical. We conclude with a reflection on culpability.
Figure: Bot Ethics - Deciding Whether Social Bots Are Unethical
Journal of Contemporary Athletics: Vol. 9, Issue 2.
Abstract: Our purpose in this article is to examine the potential for the use of meta-analysis in sport management research. It is our concern that researchers in sport management are unable to take advantage of the benefits that a meta-analysis can offer because of issues with the way data are reported in research studies. The problems limiting the use of meta-analysis can and should be rectified. Hence, we demonstrated the value of meta-analysis along with a detailed description in how the process is conducted. To strengthen our position, we conducted a meta-study to provide readers with a quantitative summary of empirical articles related to perceived constraints on sport and leisure consumption.
Figure: Funnel Plot for Structural Constraints
Manuscripts Under Review
Manuscripts In Preparation
Shortened Abstract: Income differences are normally explained by theory in terms of marginal productivity. However, how can one explain salary enormous jump when vice-presidents are promoted into CEOs? Differences in wage in terms of relative performance is what economists call tournament theory. The main point behind such theory is that beginners work hard in order to enjoy fat paychecks later on. Hence, the large increase in the salary of CEOS covers all the effort they supplied when underpaid. Tournament theory has been tested and applied in many sports. In this thesis, I apply it to professional tennis. My findings show that the construction of marginal payoff, in the ATP World Tour, does not follow the predictions of tournament theory. They do increase, but at a decreasing rate, and have an even larger decrease in the final round. In addition, top four players do not receive 50% of total purse as predicted by the theory, but instead around 43%. Regression results show that a change in spread level increases the number of upsets in a tournament, meaning that payoff seems to be more important for worse ranked players. Lastly, results lead to the conclusion that less competition is seen as differences in ranking increase. Dominance does exist for the better player ranked in the top 10 when compared to the rest subgroups of better ranked players.
Figure: Mean Levels of Marginal Payoff per Round
October, 2015 at MIT (CISR), Cambridge, MA
April, 2015 at Georgia State University, Atlanta, GA