Developing social media literacy: how children learn to interpret risky opportunities on social network sites

The widespread use of social network sites (SNSs) by children has significantly reconfigured how they communicate, with whom and with what consequences. This article analyzes cross-national interviews and focus groups to explore the risky opportunities children experience online. It introduces the notion of social media literacy and examines how children learn to interpret and engage with the technological and textual affordances and social dimensions of SNSs in determining what is risky and why. Informed by media literacy research, a social developmental pathway is proposed according to which children are first recipients, then participants, and finally actors in their social media worlds. The findings suggest that SNSs face children (aged approximately 9–11) with the fundamental question of what is real or fake. By around 11–13, they are more absorbed by the question of what is fun, even if it is transgressive or fake. By age 14–16, the increasing complexity of their social and emotional lives, as well as their greater maturity, contributes to a refocusing on what is valuable for them. Their changing orientation to social networking online (and offline) appears to be shaped by their changing peer and parental relations, and has implications for their perceptions of risk of harm

Hipsters, trendies and rebels: if fun is cool, is game design cool design?

Recent discussions within the HCI community around designing software and devices for “coolness” have identified the importance of playfulness as an aspect of cool products. Game studies, as a field of inquiry, has long been occupied with understanding playfulness, so it stands to reason that findings from this field might also support playfulness and therefore coolness outside the context of games. In this paper, we briefly explore potential overlaps between the research into designing for coolness and that of designing for playfulness. An example of an overlap in terms of motivation is presented and potential future directions are discussed

Limit on the fermion masses in technicolor models

Recently it has been pointed out that no limits can be put on the scale of fermion mass generation $(M)$ in technicolor models, because the relation between the fermion masses $(m_f)$ and $M$ depends on the dimensionality of the interaction responsible for generating the fermion mass. Depending on this dimensionality it may happens that $m_f$ does not depend on $M$ at all. We show that exactly in this case $m_f$ may reach its largest value, which is almost saturated by the top quark mass. We make few comments on the question of how large can be a dynamically generated fermion mass.Comment: 5 pages, 1 figure, RevTeX

A simple derivation and classification of common probability distributions based on information symmetry and measurement scale

Commonly observed patterns typically follow a few distinct families of probability distributions. Over one hundred years ago, Karl Pearson provided a systematic derivation and classification of the common continuous distributions. His approach was phenomenological: a differential equation that generated common distributions without any underlying conceptual basis for why common distributions have particular forms and what explains the familial relations. Pearson's system and its descendants remain the most popular systematic classification of probability distributions. Here, we unify the disparate forms of common distributions into a single system based on two meaningful and justifiable propositions. First, distributions follow maximum entropy subject to constraints, where maximum entropy is equivalent to minimum information. Second, different problems associate magnitude to information in different ways, an association we describe in terms of the relation between information invariance and measurement scale. Our framework relates the different continuous probability distributions through the variations in measurement scale that change each family of maximum entropy distributions into a distinct family.Comment: 17 pages, 0 figure

Demanding by Design: Supporting Effortful Communication Practices in Close Personal Relationships

The investment of effort into personal communication can be highly meaningful to people, and has particular significance for the mediation of close relationships. This paper presents qualities of effort investment that are seen to be valuable. Furthermore, we consider how these qualities might sensitise designers of communication technologies to the meaningfulness of effort. We report a qualitative study focusing on individual descriptions of meaningful effort invested into everyday correspondence. We encapsulate our findings in the form of five qualities that characterise valued effort: discretionary investment, personal craft, focused time, responsiveness to the recipient, and challenge to a sender’s capacities. Drawing on ideas generated in brainstorming sessions, we present two illustrative concepts for new communication technologies, highlighting how our findings can guide the creation of designed artefacts