Exploring jockey and family life through a social health lens

Workplace practices form an overarching social determinant of health for Victorian jockeys and their families. This research highlights the importance of riding opportunity, coping with risk and danger, and the gratification associated with the lifestyle to be key characteristics that impact on jockey family health for the better or worse.

Family day care educators : an exploration of their understanding and experiences promoting children's social and emotional wellbeing

This study aimed to explore family day care (FDC) educators’ knowledge of child social and emotional wellbeing and mental health problems, the strategies used to promote children’s wellbeing, and barriers and opportunities for promoting children’s social and emotional wellbeing. Thirteen FDC educators participated in individual semi-structured interviews. FDC educators were more comfortable defining children’s social and emotional wellbeing than they were in identifying causes and early signs of mental health problems. Strategies used to promote children’s mental health were largely informal and dependent on educator skills and capacities rather than a systematic scheme-wide approach. Common barriers to mental health promotion were limited financial resources, a need for more training and hesitance raising child mental health issues with parents. There is a need to build FDC educators’ knowledge of child social and emotional wellbeing and for tailored mental health promotion strategies in FDC.

From Masterchef to the Arab spring via Wikileaks : social media and political change

This comparison between Bahrain and Australia shows how the main impact of social and mobile media has been in the form of facilitators of rapid political mobilization, as well as tools for everyday socializing and entertainment. Social media are both contributors to, and symptomatic of, a blurring of the boundaries between politics and entertainment, and public and private spheres, whether their users are in Australia or Bahrain, but they are not in themselves the makers of material sites of democracy or even agency.

Nonnegative shared subspace learning and its application to social media retrieval

Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can seriously affect the precision of a social tag-based web retrieval system. Therefore improving the precision performance of these social tag-based web retrieval systems has become an increasingly important research topic. To this end, we propose a shared subspace learning framework to leverage a secondary source to improve retrieval performance from a primary dataset. This is achieved by learning a shared subspace between the two sources under a joint Nonnegative Matrix Factorization in which the level of subspace sharing can be explicitly controlled. We derive an efficient algorithm for learning the factorization, analyze its complexity, and provide proof of convergence. We validate the framework on image and video retrieval tasks in which tags from the LabelMe dataset are used to improve image retrieval performance from a Flickr dataset and video retrieval performance from a YouTube dataset. This has implications for how to exploit and transfer knowledge from readily available auxiliary tagging resources to improve another social web retrieval system. Our shared subspace learning framework is applicable to a range of problems where one needs to exploit the strengths existing among multiple and heterogeneous datasets.

Prediction of age, sentiment, and connectivity from social media text

Social media corpora, including the textual output of blogs, forums, and messaging applications, provide fertile ground for linguistic analysis material diverse in topic and style, and at Web scale. We investigate manifest properties of textual messages, including latent topics, psycholinguistic features, and author mood, of a large corpus of blog posts, to analyze the impact of age, emotion, and social connectivity. These properties are found to be significantly different across the examined cohorts, which suggest discriminative features for a number of useful classification tasks. We build binary classifiers for old versus young bloggers, social versus solo bloggers, and happy versus sad posts with high performance. Analysis of discriminative features shows that age turns upon choice of topic, whereas sentiment orientation is evidenced by linguistic style. Good prediction is achieved for social connectivity using topic and linguistic features, leaving tagged mood a modest role in all classifications.

Identity and self-presentation : from a representational to a performative lens in studying social media engagement in organisations

Social media make fast inroads into organisations. This raises issues regarding self-presentation and locating experts in these new emerging communication spaces, as the basis for effective social media-enabled knowledge work. However, research on self-presentation and identity in organisational social media is only just emerging and has been founded on broader understandings from studies of public social media. In this literature study we demonstrate that the existing body of research on identity in social media is dominated by a ‘representational lens’. Based on an analysis of the historic foundations of this stream of research, we will expose limitations of this lens in capturing contemporary engagement in online spaces and advocate for a ‘performative lens’ in studying identity work in organisations. We contribute a detailed exposition of the evolution of identity studies in the context of public social media, and we offer an alternative lens for studying the topic in organisational contexts.