Using LIWC to choose simulation approaches: A feasibility study

Can language usage help determine which model approach is best suited to provide decision makers with desired insights? This research addresses that question through an investigation of Linguistic Inquiry and Word Count (LIWC), which calculates the presence of more than 80 language dimensions in text samples, and permits construction of custom dictionaries. This article demonstrates use of LIWC to ensure better problem/model fit within the context of selecting a decision support tool. We selected two simulation tools as research instruments to investigate a broader question on the usefulness of LIWC to guide choice of DSS tool. The tools selected were System Dynamics (SD) and Discrete Event Simulation (DES). First, we tested LIWC to analyze practitioners’ language use when developing models. LIWC pointed out significant linguistic differences consistent with prior theoretical work, based on model development approach in a number of dimensions. These differences provided a basis for developing a custom dictionary for use on the second part of our study. The second part of the study focused on language used by decision makers in problem statements and used the linguistic clues identified in the first part of the study to ensure problem/model fit. Results indicated problem statements contained linguistic clues related to the type of information desired by problem solvers. The article concludes with a discussion about how LIWC and similar tools can help determine which DSS tools are suited to particular applications

Graphs behind data: A network-based approach to model different scenarios

openAl giorno d’oggi, i contesti che possono beneficiare di tecniche di estrazione della conoscenza a partire dai dati grezzi sono aumentati drasticamente. Di conseguenza, la definizione di modelli capaci di rappresentare e gestire dati altamente eterogenei è un argomento di ricerca molto dibattuto in letteratura. In questa tesi, proponiamo una soluzione per affrontare tale problema. In particolare, riteniamo che la teoria dei grafi, e più nello specifico le reti complesse, insieme ai suoi concetti ed approcci, possano rappresentare una valida soluzione. Infatti, noi crediamo che le reti complesse possano costituire un modello unico ed unificante per rappresentare e gestire dati altamente eterogenei. Sulla base di questa premessa, mostriamo come gli stessi concetti ed approcci abbiano la potenzialità di affrontare con successo molti problemi aperti in diversi contesti. ​Nowadays, the amount and variety of scenarios that can benefit from techniques for extracting and managing knowledge from raw data have dramatically increased. As a result, the search for models capable of ensuring the representation and management of highly heterogeneous data is a hot topic in the data science literature. In this thesis, we aim to propose a solution to address this issue. In particular, we believe that graphs, and more specifically complex networks, as well as the concepts and approaches associated with them, can represent a solution to the problem mentioned above. In fact, we believe that they can be a unique and unifying model to uniformly represent and handle extremely heterogeneous data. Based on this premise, we show how the same concepts and/or approach has the potential to address different open issues in different contexts. ​INGEGNERIA DELL'INFORMAZIONEopenVirgili, Luc

Detecting Well-being in Digital Communities: An Interdisciplinary Engineering Approach for its Indicators

In this thesis, the challenges of defining, refining, and applying well-being as a progressive management indicator are addressed. This work\u27s implications and contributions are highly relevant for service research as it advances the integration of consumer well-being and the service value chain. It also provides a substantial contribution to policy and strategic management by integrating constituents\u27 values and experiences with recommendations for progressive community management

Detecting Well-being in Digital Communities: An Interdisciplinary Engineering Approach for its Indicators

In this thesis, the challenges of defining, refining, and applying well-being as a progressive management indicator are addressed. This work\u27s implications and contributions are highly relevant for service research as it advances the integration of consumer well-being and the service value chain. It also provides a substantial contribution to policy and strategic management by integrating constituents\u27 values and experiences with recommendations for progressive community management

Children’s perceptions of climate change in the Mekong Delta, Vietnam

We are in the midst of a climate crisis (IPBES, 2022). Our reliance on burning fossil fuels as the primary energy source for the global economy is leading to atmospheric and oceanic heating, which is leading to a range of societal consequences including unstable, unpredictable, and more intense hydrological extremes such as tropical storms and associated, extended periods of drought, as well as sea level rise, ocean acidification, and ecological instability; amongst many other ill effects (United Nations Environment Programme, 2021). Perhaps most significantly, Climate Change is placing a growing number of people at heightened flood risk in low laying deltaic regions around the world, including one of the most at-risk deltas, the Mekong Delta in Vietnam (Dun, 2011a; Human Rights Watch, 2019; Huong & Pathirana, 2013; Ngo et al., 2019; World Bank, 2020b), which is home for 18 million people.Among those people most at risk from Climate Change, both here and around the world, are children (Jones et al., 2021; O'Brien et al., 2018). Yet, these voices are often the least consulted or explored within Climate Change research, knowledge exchange and policy formulation (Beer, 2014; Malin & Ryder, 2018; Schlosberg & Collins, 2014; Smith, 2021; Son et al., 2021). Using a qualitative, creative, and place-based approach, this thesis provides an indepth exploration of the knowledges, perceptions, and experiences that children living in the Mekong Delta hold in relation to Climate Change and hydrological extremes – paying particular attention to the socio-cultural dimensions that shape these views. The findings presented demonstrate how children psychologically distance the issue of Climate Change both spatially and temporally and highlights the suite of reasons generating disconnects between lived experiences and formal education. The findings, however, also identify many socio-cultural factors that serve as opportunities for enhancing Climate Change education across the region and suggests ways in which these could be leveraged in future education initiatives with the aim of improving decision making and longer-term Climate Change adaptation and mitigation

Network Propaganda

"Is social media destroying democracy? Are Russian propaganda or ""Fake news"" entrepreneurs on Facebook undermining our sense of a shared reality? A conventional wisdom has emerged since the election of Donald Trump in 2016 that new technologies and their manipulation by foreign actors played a decisive role in his victory and are responsible for the sense of a ""post-truth"" moment in which disinformation and propaganda thrives. Network Propaganda challenges that received wisdom through the most comprehensive study yet published on media coverage of American presidential politics from the start of the election cycle in April 2015 to the one year anniversary of the Trump presidency. Analysing millions of news stories together with Twitter and Facebook shares, broadcast television and YouTube, the book provides a comprehensive overview of the architecture of contemporary American political communications. Through data analysis and detailed qualitative case studies of coverage of immigration, Clinton scandals, and the Trump Russia investigation, the book finds that the right-wing media ecosystem operates fundamentally differently than the rest of the media environment. The authors argue that longstanding institutional, political, and cultural patterns in American politics interacted with technological change since the 1970s to create a propaganda feedback loop in American conservative media. This dynamic has marginalized centre-right media and politicians, radicalized the right wing ecosystem, and rendered it susceptible to propaganda efforts, foreign and domestic. For readers outside the United States, the book offers a new perspective and methods for diagnosing the sources of, and potential solutions for, the perceived global crisis of democratic politics.

Tapping into the pulse of the market : essays on marketing implications of information flows

Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2006.Includes bibliographical references (p. 113-115).As the Internet continues to penetrate consumer households, online marketing is getting increasingly important for firms. By adapting to online strategies, firms are blessed (or doomed) with a plethora of new business models. The information flows created in the process poses both opportunities and challenges for marketers. On one hand, information flows captured online are usually easier to be stored and processed, thus empowering firms to be better informed about the consumers or the market itself. On the other hand, how to use the information flows to make the correct managerial decisions is still a challenging task for managers and academics alike. My dissertation studies the marketing implications of these information flows. Broad as the research question is, my dissertation focuses on specific market settings. I adopt both analytical and empirical methodologies to study information flows in these markets. Overall, this dissertation concludes that information flows can engender new market mechanisms, can provide valuable information of unobservable market forces, and can be created to improve social welfare. Essay 1: Innovation Incentives for Information Goods. Digital goods can be reproduced costlessly.(cont.) Thus a price of zero would be economically-efficient for consumers. However, zero revenues would eliminate the economic incentives for creating such goods in the first place. We develop a novel mechanism which tries to solve this dilemma by decoupling the price of digital goods from the payments to innovators while maintaining budget balance and incentive compatibility. Specifically, by selling digital goods via large bundles the marginal price for consuming an additional good can be made zero for most consumers. Thus efficiency is enhanced. Meanwhile, we show how statistical sampling can be combined with tiered coupons to reveal the individual demands for each of the component goods in such a bundle. This makes it possible to provide accurate payments to creators which spurs further innovation. In our analysis of the proposed mechanism, we find that it can operate with an efficiency loss of less than 0.1. Essay 2: Edgeworth Cycles in Keyword Auctions. Search engines make a profit by auctioning off advertisement positions through keyword auctions. I examine the strategies taken by the advertisers.(cont.) A game theoretical model suggests that the equilibrium bids should follow a cyclical pattern- "escalating" phases interconnected by "collapsing" phases - similar to a pattern of "Edgeworth Cycles" that was suggested by Edgeworth (1925) in a different context. I empirically test the validity of the theory. With an empirical framework based on maximum likelihood estimation of latent Markov state switching, I show that Edgeworth price cycles exist in this market. I further examine, on the individual bidder level, how strategic these bidders are. My results suggest that some bidders in this market adjust their bids according to Edgeworth predictions, while others not. Finally, I discuss the important implications of finding such cycles. Essay 3: The Lord of the Ratings. Third-party reviews play an important role in many contexts in which tangible attributes are insufficient to enable consumers to evaluate products or services. In this paper, I examine the impact of professional and amateur reviews on the box office performance of movies. I first show evidence to suggest that the generally accepted result of "professional critics as predictors of movie performance" may no longer be true.(cont.) Then, with a simple diffusion model, I establish an econometrics framework to control for the interaction between the unobservable quality of movies and the word-of-mouth diffusion process, and thereby estimate the residual impact of online amateur reviews on demand. The results indicate the significant influence of the valence measure (ratings) of online reviews, but their volume measure (propensity to write reviews) is not significant once I control for quality. Furthermore, the analysis suggests that the variance measure (disagreement) of reviews does not play a significant role in the early weeks after a movie's opening. The estimated influence of the valence measure implies that a one-point increase in the valence can be associated with a 4-10% increase in box office revenues.by Xiaoquan (Michael) Zhang.Ph.D

Network Propaganda

"Is social media destroying democracy? Are Russian propaganda or ""Fake news"" entrepreneurs on Facebook undermining our sense of a shared reality? A conventional wisdom has emerged since the election of Donald Trump in 2016 that new technologies and their manipulation by foreign actors played a decisive role in his victory and are responsible for the sense of a ""post-truth"" moment in which disinformation and propaganda thrives. Network Propaganda challenges that received wisdom through the most comprehensive study yet published on media coverage of American presidential politics from the start of the election cycle in April 2015 to the one year anniversary of the Trump presidency. Analysing millions of news stories together with Twitter and Facebook shares, broadcast television and YouTube, the book provides a comprehensive overview of the architecture of contemporary American political communications. Through data analysis and detailed qualitative case studies of coverage of immigration, Clinton scandals, and the Trump Russia investigation, the book finds that the right-wing media ecosystem operates fundamentally differently than the rest of the media environment. The authors argue that longstanding institutional, political, and cultural patterns in American politics interacted with technological change since the 1970s to create a propaganda feedback loop in American conservative media. This dynamic has marginalized centre-right media and politicians, radicalized the right wing ecosystem, and rendered it susceptible to propaganda efforts, foreign and domestic. For readers outside the United States, the book offers a new perspective and methods for diagnosing the sources of, and potential solutions for, the perceived global crisis of democratic politics.