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Misinformation is ubiquitous in everyday life and exists on spectrum from innocuous to harmful. Communities manage issues of credibility, trust, and information quality continuously, so as to to mitigate the impact of misinformation when possible and evolve social norms and intentional governance to delineate between problematic disinformation and little white lies. Such coproduction of governance and (mis-)information raises a complex set of ethical, economic, political, social, and technological questions that requires systematic study and careful deliberation. The Conclusion discusses key themes across chapters in this volume, as well as connections to emergent themes from other books in this series, considering implications for future research, everyday life, and the governing knowledge commons framework.
Social media including Twitter can be considered knowledge commons, as a community of users creates and shares information through them. Although popular, Twitter is not free of problems, especially mis/dis-information that is rampant in social media. A better understanding of how users manage day-to-day issues on social media is needed because it can help identify strategies and tools to tackle the issue. This study investigated the actions and preferences of users who found mis/dis-information problematic on Twitter. Focusing on the action arena of knowledge commons, this study explored what participants did to manage problems, what they thought others should do, and what groups they thought should take responsibility. Four hundred responses were collected through an online survey. The top actions taken by participants were unfollowing, fact-checking, and muting. The participants wanted Twitter, Inc. to ban problematic users and to provide better tools to help filter and report issues. They viewed Twitter and individual users, especially influencers, as the groups most responsible for managing Twitter problems. Differences in actions and preferences by gender and frequency of Twitter use were found. Implications for policies, system design, and research were discussed.
Lay people often are misinformed about what is a secure password, what are the various types of security threats to passwords or password-protected resources, and the risks of certain compromising practices such as reusing passwords and required password expiration. Expert knowledge about password security has evolved considerably over time, but on many points, research supports general agreement among experts about best practices. Remarkably, though perhaps not surprisingly, there is a sizable gap between what experts agree on and what lay people believe and do. The knowledge gap might exist and persist because of intermediaries, namely professionals and practitioners as well as technological interfaces such as password meters and composition rules. In this chapter, we identify knowledge commons governance dilemmas that arise within and between different communities (expert, professional, lay) and examine implications for other everyday misinformation problems.
The spread of false and misleading information, hate speech, and harassment on WhatsApp has generated concern about elections, been implicated in ethnic violence, and been linked to other disastrous events across the globe. On WhatsApp, we see the activation of what is known as the phenomenon of hidden virality, which characterizes how unvetted, insular discourse on encrypted, private platforms takes on a character of truth and remains mostly unnoticed until causing real-world harm. In this book chapter, we discuss what factors contribute to the activation of hidden virality on WhatsApp while answering the following questions: 1) To what extent and how do WhatsApp’s sociotechnical affordances encourage the sharing of mis- and disinformation on the platform, and 2) How do WhatsApp’s users perceive and deal with mis- and disinformation daily? Our findings indicate that WhatsApp’s affordance of perceived privacy actively encourages the spread of false and offensive content on the platform, especially when combined with it being impossible for users to report inappropriate content anonymously. Groups in which such content is prominent are tightly controlled by administrators who typically hold dominant cultural positions (e.g., they are senior and male). Users who feel hurt by false and offensive content need to personally ask administrators for its removal. But this is not an easy job, as it requires users to challenge dominant cultural norms, causing them stress and anxiety. Users would rather have WhatsApp take on the burden of moderating problematic content. We close the chapter by situating our findings in relation to cultural and economic power dynamics. We bring attention to the fact that if WhatsApp does not start to take action to reduce and prevent the real-world harm of hidden virality, its affordances of widespread accessibility and encryption will keep promoting its market advantages, leaving the burden of moderating content to fall on minoritized users.
This chapter focuses on how it is possible to develop and retain false beliefs even when the relevant information we receive is not itself misleading or inaccurate. In common usage, the term misinformed refers to someone who holds false beliefs, and the most obvious source of false beliefs is inaccurate information. In some cases, however, false beliefs arise, not from inaccurate or misleading information, but rather from cognitive biases that influence the way that information is interpreted and recalled. Other cognitive biases limit the ability of new and accurate information to correct existing misconceptions. We begin the chapter by examining the role of cognitive biases and heuristics in creating misconceptions, taking as our context misconceptions commonly observed during the COVID-19 pandemic. We then explain why accurate information does not always or necessarily correct misconceptions, and in certain situations can even entrench false beliefs. Throughout the chapter, we outline strategies that information designers can use to reduce the possibility that false beliefs arise from, and persist in the face of, accurate information.
Reading or writing online user-reviews of places like a restaurant or a hair salon is a common information practice. Through its Local Guides Platform, Google calls on users to add reviews of places directly to Google Maps, as well as edit store hours and report fake reviews. Based on a case study of the platform, this chapter examines the governance structures that delineate the role Local Guides play in regulating the Google Maps information ecosystem and how it frames useful information vs. bad information. We track how the Local Guides Platform constructs a community of insiders who make Google Maps better vs. the misinformation that the platform positions as an exterior threat infiltrating Google Maps universally beneficial global mapping project. Framing our analysis through Kuo and Marwick’s critique of the dominant misinformation paradigm, one often based on hegemonic ideals of truth and authenticity. We argue that review and moderation practices on Local Guides further standardize constructions of misinformation as the product of a small group of outlier bad actors in an otherwise convivial information ecosystem. Instead, we consider how the platform’s governance of crowdsourced moderation, paired with Google Maps’ project of creating a single, universal map, helps to homogenize narratives of space that then further normalize the limited scope of Google’s misinformation paradigm.
This chapter explores patterns of misinformation in online conspiracy theory information worlds such as QAnon, as seen in publicly accessible Facebook pages. In particular, it examines issues related to expertise, authority, and gatekeeping; overt acts of misreading; the concept of connecting the dots, or seeing patterns and interconnections between often widely disparate phenomena; and interpretations of the symbolism in everyday life phenomena such as gestures, corporate logos, and celebrity photographs. It argues that, through its ubiquity and persistence, conspiracy theory misinformation functions as a persistent yet de-centered everyday activity, melding deeply serious interpretive acts with elements of gaming and sense-making.
The Russian invasion of Ukraine came on the heels of a series of crises that tested the resilience of the EU as a compound polity and arguably reshaped European policymaking at all levels. This Element investigates the effects of the invasion on public support for European polity building across four key policy domains: refugee policy, energy policy, foreign policy, and defence. It shows how support varies across four polity types (centralized, decentralized, pooled, reinsurance) stemming from a distinction between policy and polity support. In terms of the drivers of support and its evolution over time, performance evaluations and ideational factors appear as strong predictors, while perceived threat and economic vulnerability appear to matter less. Results show strong support for further resource pooling at the EU level in all domains that can lead to novel and differentiated forms of polity-building. This title is also available as Open Access on Cambridge Core.
This study investigates the contribution of financial frictions in term premiums on long-term bonds within a production economy. We consider a New Keynesian model, featuring an agency problem between financial intermediaries and their private creditors and generalized recursive preferences. The model predicts that financial frictions that amplify the impact of structural shocks on key macroeconomic variables increase term premiums under our baseline calibration. Furthermore, financial frictions produce a larger term premium when monetary policy is geared toward output over inflation stability. The novel mechanism that financial frictions increase term premiums are associated with the bank balance sheet channel of monetary policy.
Governing Misinformation in Everyday Knowledge Commons delves into the complex issue of misinformation in our daily lives. The book synthesizes three scholarly traditions - everyday life, misinformation, and governing knowledge commons - to present 10 case studies of online and offline communities tackling diverse dilemmas regarding truth and information quality. The book highlights how communities manage issues of credibility, trust, and information quality continuously, to mitigate the impact of misinformation when possible. It also explores how social norms and intentional governance evolve to distinguish between problematic disinformation and little white lies. Through a coproduction of governance and (mis-)information, the book raises a set of ethical, economic, political, social, and technological questions that require systematic study and careful deliberation. This title is also available as Open Access on Cambridge Core.
Rigorous methods have recently been developed for statistical inference of Malmquist productivity indices (MPIs) in the context of nonparametric frontier estimation, including the new central limit theorems, estimation of the bias, standard errors and the corresponding confidence intervals. The goal of this study is to briefly overview these methods and consider a few possible improvements of their implementation in relatively small samples. Our Monte-Carlo simulations confirmed that the method from Simar et al. (2023) is useful for the simple mean and aggregate MPI in relatively small sample sizes (e.g., up to around 50) and especially for large dimensions. Interestingly, we also find that the “data sharpening” method from Nguyen et al. (2022), which helps in improving the approximation in the context of efficiency is not needed in the context of estimation of productivity indices. Finally, we provide an empirical illustration of the differences across the existing methods.
This paper examines an endogenous growth model that allows us to consider the dynamics and sustainability of debt, pollution, and growth. Debt evolves according to the financing adaptation and mitigation efforts and to the damages caused by pollution. Three types of features are important for our analysis: the technology through the negative effect of pollution on TFP; the fiscal policy; the initial level of pollution and debt with respect to capital. Indeed, if the initial level of pollution is too high, the economy is relegated to an endogenous tipping zone where pollution perpetually increases relatively to capital. If the effect of pollution on TFP is too strong, the economy cannot converge to a stable and sustainable long-run balanced growth path. If the income tax rates are high enough, we can converge to a stable balanced growth path with low pollution and high debt relative to capital. This sustainable equilibrium can even be characterized by higher growth and welfare. This last result underlines the role that tax policy can play in reconciling debt and environmental sustainability.
This paper investigates the bidirectional relation between the Brazilian Central Bank communication and the yield curve. Using latent factors, observable macroeconomic variables, and observable variables representing Central Bank communication, we estimate a model that summarizes the yield curve. We find evidence of the effects of Brazilian Central Bank communication on the movements of the yield curve and the impact of the yield curve components in Brazilian Central Bank communication. In particular, Central Bank communication can shape yield curve curvature and slope. Additionally, we find a strong relation between Central Bank communication and the curvature of the yield curve. These results show that Central Bank communication impacts market players, making it a valuable instrument for monetary policy.
This Element discusses the role of the government in the financing and provision of public health care. It summarises core knowledge and findings in the economics literature, giving a state-of-the-art account of public health care. The first section is devoted to health system financing. It provides policy rationales for public health insurance which rely on both equity and efficiency, the co-existence of public and private health insurance, how health systems deal with excess demand, and the effect of health insurance expansion. The second section covers the provision of health care and the effect of policy interventions that aim at improving quality and efficiency, including reimbursement mechanisms, competition, public–private mix, and integrated care. The third section is devoted to the market for pharmaceuticals, focusing on the challenges of regulating on-patent and off-patent markets, and discussing the main incentives for pharmaceutical innovation.
We study how consumer preferences affect the transmission of microeconomic price shocks to consumer price index (CPI) inflation. These preferences give rise to complementarities and substitutions between goods, generating demand-driven cross-price dependencies that either amplify or mitigate the impact of price shocks. Our results demonstrate that while both effects are present, positive spillovers due to complementarities dominate. The magnitude of these cross-price effects is significant, demonstrating their importance in shaping CPI inflation dynamics. Most importantly, demand-driven price linkages decisively shape the impact of producer prices on CPI inflation. These findings underscore the need to take into account demand-driven price dependencies when assessing the impact of price shocks on CPI inflation, rather than relying solely on supply-related ones.