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This study aims to explore the implications of a recent case in spring 2022 where the novel Dracula went “viral” as tens of thousands of Tumblr users participated in a serialized re-reading and discussion of the text through the hashtags #dracula and #dracula daily.

The authors use a mixed-methods sequential explanatory design approach (quant: topic modeling; qual: multimodal content analysis) to examine how users describe their own practices as well as top posts (more than 25,000 likes, comments and reblogs) in the first month of the collective reading of the novel.

The authors found that the serialization of Dracula made space for “wandering reading practices” (Chavez, 2010) relevant to this interpretive community on Tumblr. The quantitative methods determined specific affective, intertextual and serialized aspects of textual play that were salient to readers. In top posts themselves, the authors saw readers creating metaleptic content imagining characters like the protagonist Jonathan in other novels or contexts, as well as processing and playing with their collective emotional responses toward characters. Additionally, readers used irony or satire through multimodal compositions to create literary arguments.

Playfully analyzing literature together through intertextual connections and multimodal memes has the potential to be both emotionally resonant, culturally relevant and supportive of literary interpretive practices. Based on these findings, the authors provide suggestions for teachers working to embrace interpretive play in formal learning spaces.

Many corporations engage in corporate social responsibility (CSR) activities voluntarily, but there is an ongoing debate about whether the government should intervene in CSR, particularly in countries with challenging institutional contexts. While some have argued that CSR should remain a discretionary exercise, as any attempt to make CSR mandatory through any form of state intervention will negate the meaning and objectives of CSR. However, drawing on the institutional theory, this chapter argues for the need to have some form of legislated CSR for banks operating in countries with challenging institutional contexts. The chapter further acknowledges that a universal CSR framework would be difficult to achieve due to differences in institutional contexts between countries; consequently, the nature, scope, and application of CSR legislation would vary significantly amongst countries as CSR is context dependent. Nonetheless, given the crucial role banks plays in society besides acting as the country's payment system, banks also transform illiquid liabilities into liquid assets, therefore making the banks the drivers of national economic developments globally. Governments in developing and emerging markets (DEMs) should ensure that banks' CSR initiatives are not only meaningful but also impactful by implementing a limited legislated CSR framework. This framework would require banks to establish a CSR committee of the board, make mandatory non-financial disclosures on their CSR activities in their Annual Reports, provide mandatory CSR continuous professional development (CPD) training for bankers, and mandate banks to contribute a certain percentage of their yearly profits before tax to agreed CSR initiatives, among other requirements.

We take Cumulative Prospect Theory (CPT) seriously by rigorously estimating structural models using the full set of CPT parameters. Much of the literature only estimates a subset of CPT parameters, or more simply assumes CPT parameter values from prior studies. Our data are from laboratory experiments with undergraduate students and MBA students facing substantial real incentives and losses. We also estimate structural models from Expected Utility Theory (EUT), Dual Theory (DT), Rank-Dependent Utility (RDU), and Disappointment Aversion (DA) for comparison. Our major finding is that a majority of individuals in our sample locally asset integrate. That is, they see a loss frame for what it is, a frame, and behave as if they evaluate the net payment rather than the gross loss when one is presented to them. This finding is devastating to the direct application of CPT to these data for those subjects. Support for CPT is greater when losses are covered out of an earned endowment rather than house money, but RDU is still the best single characterization of individual and pooled choices. Defenders of the CPT model claim, correctly, that the CPT model exists “because the data says it should.” In other words, the CPT model was borne from a wide range of stylized facts culled from parts of the cognitive psychology literature. If one is to take the CPT model seriously and rigorously then it needs to do a much better job of explaining the data than we see here.

This paper aims to challenge the fashion of ubiquitous artificial intelligence (AI) and the effects which it will have upon society. In doing so it argues that the effects of AI will be minimal but important.

This argument is based upon the Socratic method and explores the Utilitarian background in which AI is based while drawing upon classical literature and other examples to illustrate the argument.

The findings are encompassed in the argument and show that we need to be more open and careful when considering AI and its effects. We also need to be more realistic when considering potential benefits.

This argument has significant implications for the adoption of AI.

The social implications are equally profound and will impact upon our application of AI solutions to current problems and upon humanity more generally.

This is the first paper which relates AI to human successes.