Chatting online: comparing spoken and online written interaction between friends

This thesis addresses the question of whether or not online interactional practices are systematically different from interaction in other contexts, particularly spoken interaction. I will establish how the organization of online interaction demonstrates participants orientations to the technological affordances of the online medium. The dataset for the study comprises one-to-one interaction between friends, conducted using the chat application of the social networking site, Facebook. Chat logs and screen capture data were used to analyze how participants engaged in, and managed, their unfolding interaction. The data were analyzed using conversation analysis (CA). CA was developed originally for the analysis of spoken talk, but in this dissertation it provides an empirical basis for comparing Facebook chat and spoken interaction. The thesis demonstrates how CA can be used for analyzing online interaction. The first analytic chapter provides an overview of how participants organize the generic orders of interaction. The findings suggest that participants draw on their knowledge of both spoken and written interaction when managing the particular interactional constraints and affordances of Facebook chat. The second analytic chapter focuses on chat openings, comparing them to openings in spoken interaction. The findings reveal some similarities, but also systematic differences which orient to the design of the chat software. The third analytic chapter examines topic management, including topic-initiation, topic change and the management of simultaneous topics. The findings suggest that the CA categorization of topic-initiating turns could potentially be extended by also analyzing action-orientation and also the epistemic stance displayed. The analysis also reveals remarkable similarities between topic change in spoken interaction and in Facebook chat. Finally in this chapter I show how organizational components of spoken interaction, such as adjacency pairs and tying techniques, are used to manage simultaneous topics. The final analytic chapter focuses on self-repair in Facebook chat. The analysis reveals that self-repairs completed during message construction orient to the same interactional contingencies as self-repairs in spoken interaction. However, the affordances of Facebook chat enable these repairs to be hidden from the recipient. Visible repairs tend to be corrections, with the affordances impacting the sequential placement of such repairs. Finally, I show how participants self-repair in response to the actions of their co-participant. Overall, the findings reveal a number of similarities between the organization of Facebook chat and spoken interaction. The analysis also reveals that participants attend to the technological affordances of Facebook in a variety of ways. Finally, this thesis demonstrates that, while there are differences between the interactional practices of spoken and online written interaction, CA can be used to analyze, and subsequently explain, such differences

Modeling Missing Covariate Data and Temporal Features of Time-Dependent Covariates in Tree-Structured Survival Analysis

Tree-structured survival analysis (TSSA) is used to recursively detect covariate values that best divide the sample into subsequent subsets with respect to a time to event outcome. The result is a set of empirical classification groups, each of which identifies individuals with more homogeneous risk than the original sample. We propose methods for managing missing covariate data and also for incorporating temporal features of repeatedly measured covariates into TSSA. First, for missing covariate data, we propose an algorithm that uses a stochastic process to add draws to an existing single tree-structured imputation method. Secondly, to incorporate temporal features of repeatedly measured covariates, we propose two different methods: (1) use a two-stage random effects polynomial model to estimate temporal features of repeatedly measured covariates to be used as TSSA predictor variables, and (2) incorporate other types of functions of repeatedly measured covariates into existing time-dependent TSSA methodology. We conduct simulation studies to assess the accuracy and predictive abilities of our proposed methodology. Our methodology has particular public health importance because we create, interpret and assess TSSA algorithms that can be used in a clinical setting to predict response to treatment for late-life depression

I Dig Therefore We Are: Community Archaeology, Place-based Social Identity, and Intergroup Relations Within Local Communities

Community involvement in archaeological digs aims to reconnect people with the history and heritage of where they live. This paper applies social psychological theories to understand how community archaeological projects create opportunities for place‐based social identity and positive intergroup relations. Focus groups were conducted across five areas of Greater Manchester (UK) with 24 participants who volunteered for Dig Greater Manchester, a community archaeology initiative. The focus groups aimed to understand how experiences of participating in digs and exploring local heritage modified, strengthened or initiated identification with place and community, thus moving from individual levels to social levels of identity. The findings offer insight as to the ways in which people make sense of their own—and others'—place‐based social identities as a result of participating in community archaeological digs. Copyright © 2017 John Wiley & Sons, Ltd.The project was funded by the Richard Benjamin Trust—grant no. RBT1309Published versio

Conversation analysis, cyberpsychology and online interaction

This is an accepted manuscript of an article published by Wiley in Social and Personality Psychology Compass on 23/04/2020. The accepted version of the publication may differ from the final published version which can be viewed at https://onlinelibrary.wiley.com/doi/abs/10.1111/spc3.12529In this paper, I explore how conversation analysis can be used as a method for analysing online interaction. As the number and quantity of online communication platforms have proliferated, there has been a growing interest in social psychology about the impact and effectiveness of online, text-based communication. A number of theories have been used and developed to explain how online communication might impact upon relationships and effective communication. However, this paper argues that in order to explore the differences between online and offline interaction an analysis of online behaviour is needed. Conversation analysis allows for an in-depth, sequential and discursive analysis of real-life online interactions. It can explore the ways in which the affordances of the interactional platforms are oriented to or made relevant in the interaction. The utility of conversation analysis is demonstrated through a number of examples, highlighting how this method can be used to broaden our understanding of how online communication works in practice

Self-regulation as a traffic safety strategy for the older driver

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.Includes bibliographical references (p. 68-72).by Meredith J. Coley.S.M

Data Analysis of Zoonoses Notifications in Aboriginal and Torres Strait Islander populations in Australia 1996-2021: Implications for One Health

Introduction: Zoonoses are a health concern for Aboriginal and Torres Strait Islander peoples in Australia that face elevated risk of disease related to the environment and animals. Internationally, One Health is encouraged to effectively manage zoonoses by taking integrated approaches involving animal, human, and environmental health sectors to improve health outcomes. However, Australia’s health systems manage zoonotic diseases in animals and people separately which does not support a One Health approach. For the effective management of zoonoses, a strong evidence base and database regarding the epidemiology of zoonotic pathogens is needed. However, we currently lack this evidence limiting our understanding of the impact of zoonoses on Aboriginal and Torres Strait Islander populations.Methods: As a first step towards building the evidence base, we undertook a descriptive analysis of Aboriginal and Torres Strait Islander zoonotic notifications in Australia from 1996 to 2021. We presented notifications as annual notification rates per 100,000 population, and percentages of notifications by state, remoteness, sex, and age group.Results: Salmonellosis and campylobacteriosis were the most notified zoonoses with the highest annual notification rates of 99.75 and 87.46 per 100,000 population, respectively. The north of Australia (Queensland, Northern Territory and Western Australia), remote and outer regional areas, and young children (0–4 years of age) had the highest percentages of notifications.Discussion: To our knowledge, these findings are the first national presentation of the epidemiology of zoonoses within Aboriginal and Torres Strait Islander populations. A greater understanding of transmission, prevalence and impact of zoonoses on Aboriginal and Torres Strait Islander peoples (including animal and environmental health factors) is required to inform their effective management through a One Health approach

One Health in Indigenous Communities:a critical review of the evidence

Indigenous populations around the world face disproportionately high rates of disease related to the environment and animals. One Health is a concept that has been used effectively to understand and address these health risks. One Health refers to the relationships and interdependencies between animal, human, and environmental health and is an emerging research field that aligns with indigenous views of health. To understand the applicability of One Health in indigenous communities, a critical review was undertaken to investigate evidence of One Health research in indigenous communities internationally, assess the strength of evidence, and understand what gaps are present. This review included the appraisal of twenty-four studies based in five regions: Canada, Africa, Australia, South America, and Central America. The review found that there is a need for studies of high strength, with rigorous methods, local leadership, and active involvement of indigenous viewpoints, to be undertaken in indigenous communities internationally that focus on One Health. It highlights the need to further consider indigenous viewpoints in research to reduce limitations, increase effectiveness of findings, consider appropriateness of recommendations, and benefit communities

Undertaking One Health research with Australian Aboriginal and Torres Strait Islander communities: Implications of a One Health pilot study

This case study presents the research process and learnings from undertaking One Health research within Australian Aboriginal and Torres Strait Islander community settings. One Health is relevant to Australian Aboriginal and Torres Strait Islander communities where people and animals (commonly dogs and cats) live closely together and face health risks due to barriers in accessing animal health care. One Health is an appropriate approach to understanding and addressing health disparities as it aligns with community and cultural contexts that recognise the relationships between the health of people, animals and the shared environment. However, with minimal evidence in this space, the contribution of One Health to Aboriginal and Torres Strait Islander health is not well understood limiting the ability to implement One Health approaches and address the needs of communities, families, animals, and the environment. This case study describes the research approach, methodology and implications from a pilot One Health study undertaken with Aboriginal and Torres Strait Islander communities that adopted Indigenous research methodologies within a One Health framework