My research draws on children’s rights scholarship, capabilities scholarship, privacy scholarship and feminist scholarship to argue that we should value privacy when it impacts on children’s development. I call this theory of privacy “children’s developmental privacy” and argue that it has two main features. Firstly, I argue that a theory of children’s developmental privacy is grounded in relational autonomy. By this I mean that privacy for children to protect their autonomy should not necessarily be concerned with ensuring children are free from external influences, but also be concerned with the effect of and on children’s relationships. Secondly, I argue that a theory of children’s developmental privacy recognises that privacy is important and should be valued when it enables children to flourish and develop. I argue that by viewing children’s developmental privacy as a relational and an enabling right, we can conceptualise more precisely the potential risks to and benefits of children’s privacy, how it should relate to other rights, and its normative value. Accordingly, a theory of children’s developmental privacy can inform Australian law (including data protection regimes and actions in privacy) by rethinking parental controls, using children’s rights frameworks as evaluative tools, and endorsing a right to be forgotten.

This project aims to fill this gap by adopting the concept of issue publics defined by Converse and in specific takes a close look at trending topics on China’s most popular microblogging site Weibo, to understand the typology, structure, and diffusion patterns of its online discourse. Through mixed methods, with application on Natural Language Processing techniques and sentiment analysis, this project aims to uncover what topics attract people’s attention the most, examine the quality of such discussions and explore what functions do online discussion or Weibo platform serve to the society and the people.

Specifically, this study seeks to consider two juxtaposed research questions. First, the study seeks to consider whether automated decision-making has the potential to identify and respond to vilifying speech in the online context in ways that mitigate the negative impacts of such speech on target group members’ democratic participation or that otherwise increase targets group members’ democratic participation. Second, the study seeks to consider whether, conversely, automated decision-making in speech regulation in the online context has the potential to impede, through inequitable, inconsistent, or unaccountable administration, the democratic participation of particular target group members, speakers, or audiences.

Repetitive and ostensibly innocuous behaviours online, for instance, may not appear abusive; however, they can make women feel incredibly unsafe in the context of abusive relationships or networked and coordinated hate campaigns. How effectively platforms mitigate harm and enable their users to feel safe relies on data that depict how users understand and experience content and behaviour. Still, platforms focus on increasing the accuracy of automated content moderation tools rather than addressing the more complex questions about how women experience and understand harm and safety, and how these understandings might inform better interventions. Importantly, then, platforms need a fundamental reworking of the data they rely on to inform harm and safety responses. In this project, Rosalie draws on hybrid digital methods to develop robust frameworks for understanding women’s experiences of harm and safety online and to establish better data logics and hence data models for automated decision-making in digital platforms.

Furthermore, we do not know how to effectively present such verifications through novel news-consumption channels such as voice-based interfaces (e.g., digital voice assistants like Apple Siri, Google Assistant, or Amazon Alexa). This study aims to investigate how to measure, quantify, and explain biases that play a key role when users interact with fact-checked content online. We are interested in exploring the interaction through standard screen-based interfaces and voice-based interfaces.

This presentation talks about the entanglement of social media and commerce into what is now called ‘social commerce’, the primacy of cultural power and the coming web 3.0 as decentralised protocols put community power into the media and what it means for the creator and passion economy.

DTube is one of the many technological initiatives that ambitiously aspires to revive the original principles of web, by offering decentralized architecture as a solution to techno-social problems materialized by technology giants such as Amazon, Apple, Facebook, Google, Microsoft and Twitter. At this moment, little is known about how much of an alternative these platforms pose, and how they are engaging in the complex community management and business challenges that all successful platforms have to face as they grow. The analysis and findings from the study will help explore the imaginations of an ideal social media platform and the processes involved in developing and sustaining such space.

This is because China’s eat-streaming culture vividly demonstrates the labour of our hyper-productivity, the performativity of our enjoyment and the limit of our hyper-consumption. These characteristics of China’s eat-streaming point to the very problem and contradiction that forms our subjectivity: how our symptoms and our desires manifest themselves when caught in the web of our ideological belief and excessive consumption (as a mode of production).

The meme practice exemplifies the importance of everyday interaction between citizens in driving democracy as stated by Dahlgren (2009) in his elaborated discussion about civic culture. This project employs six components of civic culture offered by Dahlgren to evaluate Indonesian meme users’ engagement (or disengagement) with political issues. The lightning talk will present the project’s findings from the in-depth interviews with Indonesian memes practitioners, semiotic analysis of the post-debate memes that spread in the 2019 Presidential Election and discourse analysis of social media comments about the memes. The analysis and findings from this study will help explore memes’ civic potentials in the dynamics of a developing country with a young democracy.