Exploring the Use of an Online Community in Welfare Transition Programs

Colineau, Nathalie; Paris, Cécile; Dennett, Amanda

doi:10.14236/ewic/hci2011.76

Cited by 9 publications

(5 citation statements)

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“…The aim of the group interviews was to get an in-depth understanding of the issues this particular group of citizens is facing, and to cover the concerns they may have towards their participation requirement. (For more details on this see Colineau et al, 2011. ) We were interested in particular in assessing people's level of interest and willingness to interact with the government on welfare issues.…”

Section: Would Such Online Communities Be Useful For Groups Of Citizens?mentioning

confidence: 99%

Beyond Financial Support: Helping Citizens in Welfare Programs

Colineau

Paris

2021

ICWSM

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Governments are turning to Social Media as a way to engage citizens in public policies through online debates and discussion forums. Together with the communication team of a government department, we are exploring another facet of government-citizens communication, and another opportunity for governments to exploit Social Media. In particular, we are investigating whether online communities could become a new channel to support specific groups of citizens. In this model, a government would facilitate the creation of online communities for specific cohorts of people sharing goals and needs as well as act as mediator. This model would enable governments to capitalise on the power of crowd-sourcing and the social capital that gets created through such communities to provide social and emotional peer-support. These communities would also serve to provide direct feedback on social security policies. We propose to explore the issues that arise in this context.

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Section: Would Such Online Communities Be Useful For Groups Of Citizens?mentioning

confidence: 99%

Beyond Financial Support: Helping Citizens in Welfare Programs

Colineau

Paris

2021

ICWSM

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“…We are exploring, in collaboration with the Australian Department of Human Services (thereafter referred to as Human Services), the possibility to exploit the potential of social networks to support specific groups of welfare recipients (Colineau, Paris, and Dennett ; Colineau, Paris, and Dennett ). We developed an online community to help people currently receiving welfare payments find a job and become financially self‐sufficient (Bista et al ; Colineau, Paris, and Nepal ).…”

Section: Motivating Scenario: the Need To Encourage Interactions Withmentioning

confidence: 99%

Behavior‐Based Propagation of Trust in Social Networks with Restricted and Anonymous Participation

Nepal

Bista

Paris

2014

Computational Intelligence

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Increasing interactions and engagements in social networks through monetary and material incentives is not always feasible. Some social networks, specifically those that are built on the basis of fairness, cannot incentivize members using tangible things and thus require an intangible way to do so. In such networks, a personalized recommender could provide an incentive for members to interact with other members in the community. Behavior‐based trust models that generally compute social trust values using the interactions of a member with other members in the community have proven to be good for this. These models, however, largely ignore the interactions of those members with whom a member has interacted, referred to as “friendship effects.” Results from social studies and behavioral science show that friends have a significant influence on the behavior of the members in the community. Following the famous Spanish proverb on friendship “Tell Me Your Friends and I Will Tell You Who You Are,” we extend our behavior‐based trust model by incorporating the “friendship effect” with the aim of improving the accuracy of the recommender system. In this article, we describe a trust propagation model based on associations that combines the behavior of both individual members and their friends. The propagation of trust in our model depends on three key factors: the density of interactions, the degree of separation, and the decay of friendship effect. We evaluate our model using a real data set and make observations on what happens in a social network with and without trust propagation to understand the expected impact of trust propagation on the ranking of the members in the recommended list. We present the model and the results of its evaluation. This work is in the context of moderated networks for which participation is by invitation only and in which members are anonymous and do not know each other outside the community. Copyright © 2014 John Wiley & Sons, Ltd.

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“…We have built and deployed an online community to deliver government services to citizens as a trial for 12 months [3,4]. In this community, membership is by invitation only, i.e., specific individuals (individuals receiving a specific type of welfare payments and required to look for work) are invited to join the community.…”

Section: Applicationmentioning

confidence: 99%

“…With respect to members' participation, social networks can be public (open) or private (by invitation only); with respect to applications, they can be either generic (no specific objective) or be targeted to realise some specific objectives. We have developed a specific member-only online community for a government agency which aims to deliver support services to welfare recipients during their transition back to work [3,4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

TrustVis: A Trust Visualisation Service for Online Communities

Bista

Pour

Colineau

et al. 2013

Service-Oriented Computing - ICSOC 2012 Workshops

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Visualisation of social behaviour of members in online communities is a challenging issue. It provides holistic information on the behaviour of the community to the administrators/moderators and helps individual members in the community to monitor and analyse their own behaviour. This paper presents the design and implementation of a social trust visualisation service, called TrustVis, where the social trust is derived from the social behaviour of members in the community. One of the unique features of TrustVis is that it supports the faceted browsing and monitoring of members' social behaviour based on activities, contexts, time and roles. TrustVis is implemented and deployed in an online community we are currently trialling in collaboration with a government department to deliver support services to welfare recipients during their transition back to work. We describe the look and feel and the working of TrustVis in our production environment.

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Exploring the Use of an Online Community in Welfare Transition Programs

Abstract: We present here the results of an initial consultation we conducted through group interviews with welfare recipients about the usefulness of establishing a government-mediated online community that would help them in making the transition from welfare support to work.

Cited by 9 publications

References 0 publications

Beyond Financial Support: Helping Citizens in Welfare Programs

Beyond Financial Support: Helping Citizens in Welfare Programs

Behavior‐Based Propagation of Trust in Social Networks with Restricted and Anonymous Participation

TrustVis: A Trust Visualisation Service for Online Communities

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