104,757 research outputs found
Participatory Transformations
Learning, in its many forms, from the classroom to independent study, is being transformed by new practices emerging around Internet use. Conversation, participation and community have become watchwords for the processes of learning promised by the Internet and accomplished via technologies such as bulletin boards, wikis, blogs, social software and repositories, devices such as laptops, cell phones and digital cameras, and infrastructures of internet connection, telephone, wireless and broadband. This chapter discusses the impact of emergent, participatory trends on education. In learning and teaching participatory trends harbinge a radical transformation in who learns from whom, where, under what circumstances, and for what and whose purpose. They bring changes in where we find information, who we learn from, how learning progresses, and how we contribute to our learning and the learning of others. These trends indicate a transformation to "ubiquitous learning" ??? a continuous anytime, anywhere, anyone contribution and retrieval of learning materials and advice on and through the Internet and its technologies, niches and social spaces.not peer reviewe
Social Media and Information Overload: Survey Results
A UK-based online questionnaire investigating aspects of usage of
user-generated media (UGM), such as Facebook, LinkedIn and Twitter, attracted
587 participants. Results show a high degree of engagement with social
networking media such as Facebook, and a significant engagement with other
media such as professional media, microblogs and blogs. Participants who
experience information overload are those who engage less frequently with the
media, rather than those who have fewer posts to read. Professional users show
different behaviours to social users. Microbloggers complain of information
overload to the greatest extent. Two thirds of Twitter-users have felt that
they receive too many posts, and over half of Twitter-users have felt the need
for a tool to filter out the irrelevant posts. Generally speaking, participants
express satisfaction with the media, though a significant minority express a
range of concerns including information overload and privacy
Smartphones
Many of the research approaches to smartphones actually regard them as more or less transparent points of access to other kinds of communication experiences. That is, rather than considering the smartphone as something in itself, the researchers look at how individuals use the smartphone for their communicative purposes, whether these be talking, surfing the web, using on-line data access for off-site data sources, downloading or uploading materials, or any kind of interaction with social media. They focus not so much on the smartphone itself but on the activities that people engage in with their smartphones
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Determining citizens’ opinions about stories in the news media: analysing Google, Facebook and Twitter
We describe a method whereby a governmental policy maker can discover citizens’ reaction to news stories. This is particularly relevant in the political world, where governments’ policy statements are reported by the news media and discussed by citizens. The work here addresses two main questions: whereabouts are citizens discussing a news story, and what are they saying? Our strategy to answer the first question is to find news articles pertaining to the policy statements, then perform internet searches for references to the news articles’ headlines and URLs. We have created a software tool that schedules repeating Google searches for the news articles and collects the results in a database, enabling the user to aggregate and analyse them to produce ranked tables of sites that reference the news articles. Using data mining techniques we can analyse data so that resultant ranking reflects an overall aggregate score, taking into account multiple datasets, and this shows the most relevant places on the internet where the story is discussed. To answer the second question, we introduce the WeGov toolbox as a tool for analysing citizens’ comments and behaviour pertaining to news stories. We first use the tool for identifying social network discussions, using different strategies for Facebook and Twitter. We apply different analysis components to analyse the data to distil the essence of the social network users’ comments, to determine influential users and identify important comments
Using Participatory Media and Public Voice to Encourage Civic Engagement
Part of the Volume on Civic Life Online: Learning How Digital Media Can Engage Youth. Teaching young people how to use digital media to convey their public voices could connect youthful interest in identity exploration and social interaction with direct experiences of civic engagement. Learning to use blogs ("web logs," web pages that are regularly updated with links and opinion), wikis (web pages that non-programmers can edit easily), podcasts (digital radio productions distributed through the Internet), and digital video as media of self-expression, with an emphasis on "public voice," should be considered a pillar -- not just a component -- of twenty-first-century civic curriculum. Participatory media that enable young people to create as well as consume media are popular among high school and college students. Introducing the use of these media in the context of the public sphere is an appropriate intervention for educators because the rhetoric of democratic participation is not necessarily learnable by self-guided point-and-click experimentation. The participatory characteristics of online digital media are described, examples briefly cited, the connection between individual expression and public opinion discussed, and specific exercises for developing a public voice through blogs, wikis, and podcasts are suggested. A companion wiki provides an open-ended collection of resources for educators: https://www.socialtext.net/medialiteracy
Exploring the information behaviour of users of Welsh Newspapers Online through web log analysis
Purpose – Webometric techniques have been applied to many websites and online resources,
especially since the launch of Google Analytics (GA). To date, though, there has been little
consideration of information behaviour in relation to digitised newspaper collections. The purpose of
this paper is to address a perceived gap in the literature by providing an account of user behaviour in
the newly launched Welsh Newspapers Online (WNO).
Design/methodology/approach – The author collected webometric data for WNO using GA and
web server content logs. These were analysed to identify patterns of engagement and user behaviour,
which were then considered in relation to existing information behaviour.
Findings – Use of WNO, while reminiscent of archival information seeking, can be understood as
centring on the web interface rather than the digitised material. In comparison to general web browsing,
users are much more deeply engaged with the resource. This engagement incorporates reading online,
but users’ information seeking utilises website search and browsing functionality rather than filtering in
newspaper material. Information seeking in digitised newspapers resembles the model of the “user” more
closely than that of the “reader”, a value-laden distinction which needs further unpacking.
Research limitations/implications – While the behaviour discussed in this paper is likely to be
more widely representative, a larger longitudinal data set would increase the study’s significance.
Additionally, the methodology of this paper can only tell us what users are doing, and further research
is needed to identify the drivers for this behaviour.
Originality/value – This study provides important insights into the underinvestigated area of
digitised newspaper collections, and shows the importance of webometric methods in analysing online
user behaviour
Internet Information and Communication Behavior during a Political Moment: The Iraq War, March 2003
This article explores the Internet as a resource for political information and communication in March 2003, when American troops were first sent to Iraq, offering us a unique setting of political context, information use, and technology. Employing a national survey conducted by the Pew Internet & American Life project. We examine the political information behavior of the Internet respondents through an exploratory factor analysis; analyze the effects of personal demographic attributes and political attitudes, traditional and new media use, and technology on online behavior through multiple regression analysis; and assess the online political information and communication behavior of supporters and dissenters of the Iraq War. The factor analysis suggests four factors: activism, support, information seeking, and communication. The regression analysis indicates that gender, political attitudes and beliefs, motivation, traditional media consumption, perceptions of bias in the media, and computer experience and use predict online political information behavior, although the effects of these variables differ for the four factors. The information and communication behavior of supporters and dissenters of the Iraq War differed significantly. We conclude with a brief discussion of the value of "interdisciplinary poaching" for advancing the study of Internet information practices
Modeling the formation of attentive publics in social media: the case of Donald Trump
Previous research has shown the importance of Donald Trump’s Twitter activity, and that of his Twitter following, in spreading his message during the primary and general election campaigns of 2015–2016. However, we know little about how the publics who followed Trump and amplified his messages took shape. We take this case as an opportunity to theorize and test questions about the assembly of what we call “attentive publics” in social media. We situate our study in the context of current discussions of audience formation, attention flow, and hybridity in the United States’ political media system. From this we derive propositions concerning how attentive publics aggregate around a particular object, in this case Trump himself, which we test using time series modeling. We also present an exploration of the possible role of automated accounts in these processes. Our results reiterate the media hybridity described by others, while emphasizing the importance of news media coverage in building social media attentive publics.Accepted manuscrip
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