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In times of crisis, such as the Covid-19 global pandemic, journalists who write about biomedical information must have the strategic aim to be clearly and easily understood by everyone. In this study, we assume that journalistic discourse could benefit from language redundancy to improve clarity and simplicity aimed at science popularization. The concept of language redundancy is theoretically discussed with the support of discourse analysis and information theory. The methodology adopted is a corpus-based qualitative approach. Two corpora samples with Brazilian Portuguese (BP) texts on Covid-19 were collected. One with texts from a monthly science digital magazine called Pesquisa FAPESP aimed at students and researchers for scientific information dissemination and the other with popular language texts from a news Portal G1 (Rede Globo) aimed at unspecified and/or non-specialized readers. The materials were filtered with two descriptors: “vaccine” and “test.” Preliminary analysis of examples from these materials revealed two categories of redundancy: paraphrastic and polysemic. Paraphrastic redundancy is based on concomitant language reformulation of words, sentences, text excerpts, or even larger units. Polysemic redundancy does not easily show material evidence, but is based on cognitively predictable semantic association in socio-cultural domains. Both kinds of redundancy contribute, each in their own way, to improving text readability for science popularization in Brazil.

This chapter studies communication during a longitudinal crisis by exploring the Irish airline Ryanair’s use of Twitter (now X) in early 2022 when the coronavirus disease 2019 (COVID-19) pandemic had already been affecting the airline industry for almost 2 years. It studies the airline’s approach to interacting with its passengers online and their reaction to its posts, at times, rather provocative posts. A corpus linguistic methodology is used to study tweets posted by and addressed to Ryanair between January and March 2022, a period that saw unprecedented peaks in COVID-19 infection numbers and the simultaneous lifting of travel restrictions. The analysis is based on the Ryanair 2022 Corpus which includes 27,089 tweets and more than half a million words. The findings of this case study show that Ryanair reappropriates instructing and adapting information on crisis-related topics as promotion and takes a political stance in its tweets to encourage consumer engagement. While the corporate tweets are successful in generating reactions online, the airline’s followers do not always perceive them in a positive manner. This case study makes an important contribution to crisis communication research as it shows how established communicative strategies, such as instructing and adapting information, may be reappropriated during a longitudinal crisis. At the same time, it demonstrates how these communicative strategies may – as a consequence – no longer be aligned with the core values of a legitimate organisation that is expected to act responsibly and ethically.

Purpose: This chapter aims to identify and evaluate the various components of business model disclosures in an Integrated Report and ascertain how the notion of business model is perceived among practitioners.

Need for the Study: According to previous research, the International Integrated Reporting Council’s (IIRC) objective of improving corporate reporting by encouraging organisations to disclose their business model has not found the desired recognition. Therefore, the study elaborates on the various components of business model reporting and their implications on corporate reporting in general.

Methodology: A review of literature was conducted to identify and analyse research based on business models and their disclosures in integrated reporting. A narrative review was undertaken for selected literature.

Findings: The findings suggest that most large-sized organisations use integrated reporting for impression management and are not inclined to disclose too much about their business models for fear of competition. There is still a lack of clear understanding of what a business model should entail.

Practical Implication: This study adds to the research on business model disclosures in integrated reporting. Voluntary disclosure and a better understanding of such disclosures will prepare organisations of all sizes and industries for an event when Integrated Reporting becomes statutory.

‘Dalits’ are considered to be the marginalized section in India. In the social milieu of this country, they are excluded from the variants of life. This chapter is a modest attempt to construct an aggregative picture of social exclusion of Dalit Groups at district level in India. It is generally claimed that social exclusion is captured in brackets of non-attainment, particularly in the spheres of livelihood, education and health. However, a true index of exclusion should include of not only non-attainment but the pangs of injustice meted out to them. Such injustice may take various forms (such as crime against Dalits, non-caring of the girl child and so on). Such injustice eats into the gains of social attainment. The speciality of our index is that it includes these variables of social injustice together with the traditional indicator of non-attainment. For the construction of this index, the study has used the standard techniques of principal component analysis (PCA) with negative weights for the attributes of injustice. In order to arrive at a comparable figure, standardization of the variables is encapsulated. In explaining the differences of index value, it has taken recourse to a large fallacy of robustness that is to arrive at the conclusion. Fiducial methods have been used to arrive at a more commendable figure. The analysis shows a close relationship between Dalit Exclusion Index (DEI) and a number of variables. General impression is that as the general wellbeing of people rises, there is a fall in the Dalit exclusion. Also, it is shown that public policy have strong effect on redresser of Dalit exclusion.