7,672 research outputs found
Performance Analysis of Online Social Platforms
We introduce an original mathematical model to analyze the diffusion of posts
within a generic online social platform. Each user of such a platform has his
own Wall and Newsfeed, as well as his own self-posting and re-posting activity.
As a main result, using our developed model, we derive in closed form the
probabilities that posts originating from a given user are found on the Wall
and Newsfeed of any other. These probabilities are the solution of a linear
system of equations. Conditions of existence of the solution are provided, and
two ways of solving the system are proposed, one using matrix inversion and
another using fixed-point iteration. Comparisons with simulations show the
accuracy of our model and its robustness with respect to the modeling
assumptions. Hence, this article introduces a novel measure which allows to
rank users by their influence on the social platform, by taking into account
not only the social graph structure, but also the platform design, user
activity (self- and re-posting), as well as competition among posts.Comment: Preliminary version of accepted paper at INFOCOM 2019 (Paris, France
Designing a gamified social platform for people living with dementia and their live-in family caregivers
In the current paper, a social gamified platform for people living with dementia and their live-in family caregivers, integrating a broader diagnostic approach and interactive interventions is presented. The CAREGIVERSPRO-MMD (C-MMD) platform constitutes a support tool for the patient and the informal caregiver - also referred to as the dyad - that strengthens self-care, and builds community capacity and engagement at the point of care. The platform is implemented to improve social collaboration, adherence to treatment guidelines through gamification, recognition of progress indicators and measures to guide management of patients with dementia, and strategies and tools to improve treatment interventions and medication adherence. Moreover, particular attention was provided on guidelines, considerations and user requirements for the design of a User-Centered Design (UCD) platform. The design of the platform has been based on a deep understanding of users, tasks and contexts in order to improve platform usability, and provide adaptive and intuitive User Interfaces with high accessibility. In this paper, the architecture and services of the C-MMD platform are presented, and specifically the gamification aspects. © 2018 Association for Computing Machinery.Peer ReviewedPostprint (author's final draft
Critical Review of Research on Families and Family Policies in Europe Conference Report
This report was produced by FAMILYPLATFORM. FAMILYPLATFORM (SSH-2009-3.2.2 Social platform on research for families and family policies) is funded by the EU’s 7th Framework Programme (€1,400,000) and has a duration of 18 months (October 2009 – March 2011). The consortium consists of the following 12 organisations: 1) Technical University Dortmund (Coordinators); 2) State Institute for Family Research, University of Bamberg; 3) Family Research Centre, University of Jyväskylä; 4) Austrian Institute for Family Studies, University of Vienna; 5) Demographic Research Institute, Budapest; 6) Institute of Social Sciences, University of Lisbon; 7) Department of Sociology and Social research, University of Milan-Bicocca; 8) Institute of International and Social Studies, Tallinn University; 9) London School of Economics; 10) Confederation of Family Organisations in the European Union (COFACE), Brussels; 11) Forum delle Associazioni Familiari, Italy; 12) Mouvement Mondial des Mères, Brussels; Contact [email protected] or visit http://www.familyplatform.eu for more information.The aim of this Critical Review Report is to describe and report on the international conference "Families and Family Policies in Europe - A Critical Review", wich took place in Lisbon, at the Institute for Social Sciences (University of Lisbon), in May 2010. Organized by FAMILYPLATFORM consortium, the main objective of this 3 day conference was to carry out a critical review of existing research on families and family policies in Europe. Drawing on expert reviews of the state of the art, critical statements by stakeholders and policy makers, and debate on the major challenges for research and policies, the conference was organized with a view to providing a major forum for discussing and identifying the design of future family policies and research.FAMILYPLATFORM (SSH 2009.2.2 Social platform on research for families and family policies): funded by the European Unions 7th Framework Programme for 18 months (October 2009 – March 2011)
Does Campaigning on Social Media Make a Difference? Evidence from candidate use of Twitter during the 2015 and 2017 UK Elections
Social media are now a routine part of political campaigns all over the
world. However, studies of the impact of campaigning on social platform have
thus far been limited to cross-sectional datasets from one election period
which are vulnerable to unobserved variable bias. Hence empirical evidence on
the effectiveness of political social media activity is thin. We address this
deficit by analysing a novel panel dataset of political Twitter activity in the
2015 and 2017 elections in the United Kingdom. We find that Twitter based
campaigning does seem to help win votes, a finding which is consistent across a
variety of different model specifications including a first difference
regression. The impact of Twitter use is small in absolute terms, though
comparable with that of campaign spending. Our data also support the idea that
effects are mediated through other communication channels, hence challenging
the relevance of engaging in an interactive fashion
Old Methods, New Means: Persuasive Technology in a Social Platform
Persuasive Technology, technology that is designed to change users’ attitudes or behaviors, has been exercised for a long time. Designing a technology that can change users’ attitudes or behaviors is a process that needs to be carefully thought through. Captology makes this process easier by defining the most important factors that technology needs to contain in order to be classified as Persuasive Technology. Echo It is the object of study, which is used as a particular example to test our theories. The most significant theory is a framework called “the Functional Triad”, a framework which is helping developers to identify what role a technology plays. Being aware of the role is important. However, for a technology to fully persuade its users, it is also important that it contains accurate information and has an appearance that attracts users. The purpose of this thesis is to establish guidelines for how Persuasive Technology should be designed in order to reach the target goal of helping users to change a behavior. The knowledge contribution is the guidelines which can be used by designers and developers and help them design and evaluate Persuasive Technology
A Bayesian social platform for inclusive and evidence-based decision making
Against the backdrop of a social media reckoning, this paper seeks to
demonstrate the potential of social tools to build virtuous behaviours online.
We must assume that human behaviour is flawed, the truth can be elusive, and as
communities we must commit to mechanisms to encourage virtuous social digital
behaviours. Societies that use social platforms should be inclusive, responsive
to evidence, limit punitive actions and allow productive discord and respectful
disagreement. Social media success, we argue, is in the hypothesis. Documents
are valuable to the degree that they are evidence in service of, or to
challenge an idea for a purpose. We outline how a Bayesian social platform can
facilitate virtuous behaviours to build evidence-based collective rationality.
The chapter outlines the epistemic architecture of the platform's algorithms
and user interface in conjunction with explicit community management to ensure
psychological safety. The BetterBeliefs platform rewards users who demonstrate
epistemically virtuous behaviours and exports evidence-based propositions for
decision-making. A Bayesian social network can make virtuous ideas powerful.Comment: 38 pages, 3 tables, 13 figures submitted for peer review for
inclusion in M. Alfano, C. Klein and J de Ridder (Eds.) Social Virtue
Epistemology. Routledge [forthcoming
- …