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The purpose of this study is to identify organizational cultural factors and overarching themes on emergency management evident across the Facebook page of an emergency management organization. This study also aims to understand the dimensions of social capital that influence the reputation of emergency management organization using the lens of organizational culture.

The organizational cultural factors defined in the literature were used to classify content posted by the organization during a six-month period. The posts were read and analyzed thematically to determine the overarching themes evident across the collected posts. The dimensions of social capital defined in the literature were used to determine its influence on the reputation of an emergency management organization.

The organizational cultural factors that emerged from the analysis are openness and future orientation without any evidence on risk-taking and flexibility. An analysis of cultural factors indicates that organizational culture facilitates knowledge exchange and knowledge combination. The key themes embedded in the organization's posts are emergency preparedness, communication devices for emergency management, coordination and admiration. The dimensions of social capital that influenced the reputation of emergency management organization were group characteristics, volunteerism, generalized norms and togetherness. Though previous studies have found the influence of culture on social capital, this study extends those findings by identifying the dimensions of culture (i.e. openness and future orientation) that reflects the social capital dimensions (i.e. generalized norms and group characteristics) in an organizational setting.

This study contributes to theory on the identification of cultural factors from content posted by emergency management organizations on a public social networking site (SNS). The organization benefited in terms of its reputation through the dimensions of social capital which are group characteristics, volunteerism, generalized norms and togetherness. One of the organizational reputation dimensions that was evident in this study was moral reputation which is a contribution of this study.

Among the guiding principles of Sendai Framework for Disaster Risk Reduction, three guiding principles were evident in the posts of the emergency management organization. These principles which represent the practical implications of this study are disaster risk reduction through cooperation, inclusiveness of minority community members and implementing cost-effective and sustainable development policies for future through investment.

Previous studies have examined organizational culture in general, but to date there has been very little research into determining cultural factors that facilitate knowledge exchange and knowledge combination. This is also a unique study which identified the dimensions of social capital and organizational reputation in emergency management.

The purpose of this paper is to explore themes eventuating from the user-generated content posted by users on the Facebook page of an emergency management agency.

An information classification framework was used to classify user-generated content posted by users including all of the content posted during a six month period (January to June 2015). The posts were read and analysed thematically to determine the overarching themes evident across the entire collection of user posts.

The results of the analysis demonstrate that the key themes that eventuate from the user-generated content posted are “Self-preparedness”, “Emergency signalling solutions”, “Unsurpassable companion”, “Aftermath of an emergency”, and “Gratitude towards emergency management staff”. Major user-generated content identified among these themes are status-update, criticism, recommendation, and request.

This study contributes to theory on the development of key themes from user-generated content posted by users on a public social networking site. An analysis of user-generated content identified in this study implies that, Facebook is primarily used for information dissemination, coordination and collaboration, and information seeking in the context of emergency management. Users may gain the benefits of identity construction and social provisions, whereas social conflict is a potential detrimental implication. Other user costs include lack of social support by stakeholders, investment in social infrastructure and additional work force required to alleviate the technological, organisational, and social barriers in communication among stakeholders in emergency management. A collective activity system built upon the Activity Theory was used as a lens to describe users’ activity of posting content on the Facebook page of an emergency management agency.

By analysing the findings, administrators and policy makers of emergency management could identify the extent to which the core principles of disaster recovery are accomplished using public social networking sites. These are achieved in relation to: pre-disaster recovery planning; partnership and inclusiveness; public information messaging; unity of effort; and, psychological recovery to maximise the success of recovery in a disaster. Furthermore, a core principle which evoked a mixed response was timeliness and flexibility.

Previous studies have examined the role of social networking sites in disastrous situations, but to date there has been very little research into determining themes found in user-generated content posted on the Facebook page of an emergency management agency. Hence, this study addresses the gap in literature by conducting a thematic analysis of user-generated content posted on the Facebook page of the Federal Emergency Management Agency.

The purpose of this study is to examine the predictors of high‐quality answers in a community‐driven question answering service (Yahoo! Answers).

The identified predictors were organised into two categories: social and content features. Social features refer to the community aspects of the users and are extracted from explicit user interaction and feedback. Content features refer to the intrinsic and extrinsic content quality of answers that could be used to select the high‐quality answers. In total the framework built in this study comprises 17 features from two categories. Based on a randomly selected dataset of 1,600 question‐answer pairs from Yahoo! Answers, high‐quality answer predictors were identified.

The results of the analysis showed the importance of content appraisal features over social and textual content features. The features identified as strongly associated with high‐quality answers include positive votes, completeness, presentation, reliability and accuracy. Features weakly associated with high‐quality answers were high frequency words, answer length, and best answers answered. Features related to the asker's user history were found not to be associated with high‐quality answers.

This work could help in the reuse of answers for new questions. The study identified features that most influence the selection of high‐quality answers. Hence they could be used to select high‐quality answers for answering similar questions posed by users in the future. When a new question is posed, similar questions are first identified, and the answers for these questions are extracted and routed to the proposed quality framework for identifying high‐quality answers. Based on the overall quality index computed, the high‐quality answer could be returned to the asker.

Previous studies in identifying high‐quality answers were conducted using either of two approaches. First using social and textual content features found in community‐driven question answering services and second using content appraisal features by thorough assessment of answer quality provided by experts. However no study had integrated both approaches. Hence this study addresses this gap by developing an integrated generalisable framework to identify features that influence high‐quality answers.