24,025 research outputs found
Symbolic Activities in Virtual Spaces
This paper presents an approach to combine concepts ofsymbolic acting and virtual storytelling with the support ofcooperative processes. We will motivate why symboliclanguages are relevant in the social context of awarenessapplications. We will describe different symbolicpresentations and illustrate their application in three differentprototypes
TV 2.0: animation readership / authorship on the internet
Traditional platforms for animation, such as broadcast television or cinema, are rapidly becoming obsolete as a new type of spectator demands more choice, the ability to interact with animated content and access to global distribution for their own user-generated work. Audiences are no longer satisfied with receiving a top down distribution of content from traditional cinema or broadcasters. Internet technologies are emerging to address this demand for active spectatorship and enable communities of interest to evolve their own alternative distribution methods.
Viewing animation online has become increasingly accessible with the mass adoption of broadband and the emergence of new file formats. TV 2.0 is an amalgamation of Internet technologies that combine video on demand with the social networking capabilities of Web 2.0. In the age of TV 2.0, the role of the viewer has increased in complexity with new possibilities for active interaction and intervention with the content displayed. This new audience seeks a form of spectatorship that can extend beyond the passive recipience of programming distributed by elite broadcasters. TV 2.0 on the Internet has changed both methods of distribution and traditional patterns for the viewing of animation. However, any potential for democratic participation in the visual culture of moving images that this could entail may be a brief historic moment before the assimilation and control of active readership by mainstream corporate culture
The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election
The present study argues that political communication on social media is
mediated by a platform's digital architecture, defined as the technical
protocols that enable, constrain, and shape user behavior in a virtual space. A
framework for understanding digital architectures is introduced, and four
platforms (Facebook, Twitter, Instagram, and Snapchat) are compared along the
typology. Using the 2016 US election as a case, interviews with three
Republican digital strategists are combined with social media data to qualify
the studyies theoretical claim that a platform's network structure,
functionality, algorithmic filtering, and datafication model affect political
campaign strategy on social media
ePortfolios: models and implementation
This paper explores the use of ePortfolio tools to support teaching, learning and the personal and professional development of postgraduate students at the Institute of
Education, University of London (IOE). The needs of tutors and students are considered alongside the affordances and limitations of specific tools in relation to these
needs. The study involved five areas of postgraduate study at the IOE, one at PhD level, two at Masters level (MA in ICT in Education and MTeach) and two PGCE courses
(PGCE in ICT and Post-Compulsory PGCE). Preliminary discussions with IOE staff revealed five common themes relating to the perceived purpose of an ePortfolio:
model, ownership, collaboration, accessibility and support. The first theme relates to the definition of the ePortfolio, whilst the remaining themes address questions
relating to ownership, control, use and user needs/development. In this paper, each of the themes and the questions raised within those areas are addressed in
detail and a cross-comparative table of responses across each of five teaching scenarios is provided with levels of importance measured on a scale of 1 (low) to
4 (high)
Plan-And-Write: Towards Better Automatic Storytelling
Automatic storytelling is challenging since it requires generating long,
coherent natural language to describes a sensible sequence of events. Despite
considerable efforts on automatic story generation in the past, prior work
either is restricted in plot planning, or can only generate stories in a narrow
domain. In this paper, we explore open-domain story generation that writes
stories given a title (topic) as input. We propose a plan-and-write
hierarchical generation framework that first plans a storyline, and then
generates a story based on the storyline. We compare two planning strategies.
The dynamic schema interweaves story planning and its surface realization in
text, while the static schema plans out the entire storyline before generating
stories. Experiments show that with explicit storyline planning, the generated
stories are more diverse, coherent, and on topic than those generated without
creating a full plan, according to both automatic and human evaluations.Comment: Accepted by AAAI 201
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