Teens, Social Media, and Privacy

Teens share a wide range of information about themselves on social media sites; indeed the sites themselves are designed to encourage the sharing of information and the expansion of networks. However, few teens embrace a fully public approach to social media. Instead, they take an array of steps to restrict and prune their profiles, and their patterns of reputation management on social media vary greatly according to their gender and network size

The Management and Use of Social Network Sites in a Government Department

In this paper we report findings from a study of social network site use in a UK Government department. We have investigated this from a managerial, organisational perspective. We found at the study site that there are already several social network technologies in use, and that these: misalign with and problematize organisational boundaries; blur boundaries between working and social lives; present differing opportunities for control; have different visibilities; have overlapping functionality with each other and with other information technologies; that they evolve and change over time; and that their uptake is conditioned by existing infrastructure and availability. We find the organisational complexity that social technologies are often hoped to cut across is, in reality, something that shapes their uptake and use. We argue the idea of a single, central social network site for supporting cooperative work within an organisation will hit the same problems as any effort of centralisation in organisations. We argue that while there is still plenty of scope for design and innovation in this area, an important challenge now is in supporting organisations in managing what can best be referred to as a social network site 'ecosystem'.Comment: Accepted for publication in JCSCW (The Journal of Computer Supported Cooperative Work

Museum Learning via Social Media: (How) Can Interactions on Twitter Enhance the Museum Learning Experience?

Museums are rich sources of artifacts, people and potential dialogic interactions. Recent developments in web technologies pose big challenges to museums to integrate such technologies in their learning provision. The study presented here is concerned with the potential of how school visits to museums can be enhanced by the use of social media. The Museum of London (MoL) is selected as the site of the study and the participants were a Year 9 History class (13-14 years old) in a secondary school in Milton Keynes. It draws on Falk and Dierking’s (2000) Contextual Model of Learning and considers evidence of meaning making from students’ tweets and activity on-site. Observational data during the visit, the visit’s Twitter stream and post-visit interview data with the participants is presented and analysed. It is argued that use of Twitter, a microblogging platform (http://twitter.com), enhances the social interaction around museum artifacts and thus, the process of shared construction of meaning making, which can enrich the museum experience

Teens, Kindness and Cruelty on Social Network Sites

Analyzes survey findings about how teenagers navigate the world of "digital citizenship," including experiences of, reactions to, and sources of advice about online cruelty; privacy controls and practices; and levels of parental regulation

Does \u2018bigger\u2019mean \u2018better\u2019? Pitfalls and shortcuts associated with big data for social research

\u2018Big data is here to stay.\u2019 This key statement has a double value: is an assumption as well as the reason why a theoretical reflection is needed. Furthermore, Big data is something that is gaining visibility and success in social sciences even, overcoming the division between humanities and computer sciences. In this contribution some considerations on the presence and the certain persistence of Big data as a socio-technical assemblage will be outlined. Therefore, the intriguing opportunities for social research linked to such interaction between practices and technological development will be developed. However, despite a promissory rhetoric, fostered by several scholars since the birth of Big data as a labelled concept, some risks are just around the corner. The claims for the methodological power of bigger and bigger datasets, as well as increasing speed in analysis and data collection, are creating a real hype in social research. Peculiar attention is needed in order to avoid some pitfalls. These risks will be analysed for what concerns the validity of the research results \u2018obtained through Big data. After a pars distruens, this contribution will conclude with a pars construens; assuming the previous critiques, a mixed methods research design approach will be described as a general proposal with the objective of stimulating a debate on the integration of Big data in complex research projecting

Building online employability: a guide for academic departments

This guide will help academic departments to support students to think about their careers and to use the online environment wisely. Used badly the array of social media and online technologies can seriously disadvantage a students’ career development, but if used well they can support students to find out about and transition into their future career.This work was funded by the University of Derby’s Research for Teaching and Learning programme

Two Screen Viewing and Social Relationships. Exploring the invisible backchannel of TV viewing

Use of social networks to create a real-time backchannel of\ud communication among viewers of television programs has been documented, and has been termed “two-screen viewing,” with one screen devoted to the program being watched, and a second screen (usually a laptop, tablet, or cell/mobile\ud phone) devoted to maintaining the backchannel. Prior research has examined twoscreen viewing through content analysis of social media posts. However, little has been done to explore the way in which two screen viewing qualitatively changes the viewing experience, or to understand how this behavior contributes to the construction or maintenance of social relationships. Couch (1992) noted that social interaction require a shared focus, a social objective, and congruent functional identities. The first screen program provides the shared focus. Using online interviews, this small pilot project seeks to discover whether social objectives and congruent functional identities are established through two-screen viewing. That is, the study explores how one might go about determining whether this communication actually contributes to social relationships or serves some other, asocial purpose. The present study is a small pilot project only. Preliminary\ud data suggest that there are two types of two-screen viewing defined by different degrees of visible and invisible online practice

Philanthropy and Social Media

We define social media as online or digital technologies that serve to connect people, information and organisations through networks. The term evolved as a way to -distinguish the emerging online -information platforms from traditional "broadcast media" -- TV, radio, film, newspapers -- by highlighting that these new tools -were "socialised" and allowed the audiences to contribute to their content. Social media have therefore become defined in relation to these existing media channels, but in fact they have their ancestry in existing social technologies, like the telephone and the letter. If traditional media connect people to information, social media connect people to people

Massive Open Online Courses as affinity spaces for connected learning: Exploring effective learning interactions in one massive online community

This paper describes a participatory online culture – Connected Learning Massive Open Online Collaboration (CLMOOC) – and asks how its ethos of reciprocity and creative playfulness occurs. By analysing Twitter interactions over a four-week period, we conclude that this is due to the supportive nature of participants, who describe themselves as belonging to, or connected with, the community. We suggest that Gee’s concept of an affinity space is an appropriate model for CLMOOC and ask how this might be replicated in a higher education setting

Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump

Measuring and forecasting opinion trends from real-time social media is a long-standing goal of big-data analytics. Despite its importance, there has been no conclusive scientific evidence so far that social media activity can capture the opinion of the general population. Here we develop a method to infer the opinion of Twitter users regarding the candidates of the 2016 US Presidential Election by using a combination of statistical physics of complex networks and machine learning based on hashtags co-occurrence to develop an in-domain training set approaching 1 million tweets. We investigate the social networks formed by the interactions among millions of Twitter users and infer the support of each user to the presidential candidates. The resulting Twitter trends follow the New York Times National Polling Average, which represents an aggregate of hundreds of independent traditional polls, with remarkable accuracy. Moreover, the Twitter opinion trend precedes the aggregated NYT polls by 10 days, showing that Twitter can be an early signal of global opinion trends. Our analytics unleash the power of Twitter to uncover social trends from elections, brands to political movements, and at a fraction of the cost of national polls