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Hume: A Mechanism to Support Expertise Finding In Online Help-seeking Communities Jun Zhang School of Information University of Michigan June Mich.edu Mark S. Ackerman Dept. of EEC and School of Information
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This dissertation addresses several key issues that can be addressed through theory and empirical research: first, there is a lack of a widely-agreed definition of what defines a “help-seeking community”, such that the role of the community is quantified in the literature; second, the number of people who consider this community a “key resource” is under-documented; third, a mechanism for defining a community which can serve as a “key resource” is needed to make this role quantifiable; and fourth, an evaluation method can be established to better assess the success of this community. Methods The focus group of the online help-seeking community is used as a case study. The results of the study include, most significant, four key findings. First, there is no common understanding of what a help-seeking community is; second, there is a lack of a standard definition of a help-seeking community; third, there is a lack of the formal mechanisms to determine the success of this community as “key resources”; and fourth, the existence of a key resource is poorly understood. The case study results reveal the key insights that can be applied to other online communities, as well as to existing offline ones. Acknowledgements I would like thanks my colleagues and students for their contributions. Some key contributions of the following were provided by DRS. Shafiq Akhtar and Mark S. Ackerman, both in their respective institutions, and Professor Mark S. Ackerman of the Department of EEC. I would like to thank also the members of their research teams for their valuable assistance. Finally, I would like to thank my friend and mentor, Dr.

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QUME stands for Quarterly Unemployment Insurance Monitoring and Evaluation. It is a mechanism used to monitor and evaluate unemployment insurance programs.
The government agencies responsible for administering unemployment insurance programs are required to file QUME reports.
QUME reports can be filled out online through the designated reporting portal provided by the relevant government agency.
The purpose of QUME is to gather data and information about the performance and effectiveness of unemployment insurance programs. It helps identify areas of improvement and measure the impact of policy changes.
QUME reports typically include data on the number of unemployment insurance beneficiaries, average duration of benefits, job placement rates, and program costs.
The deadline to file QUME reports in 2023 is typically set by the government agency and may vary. Please refer to the official guidelines or contact the relevant agency for specific information.
The penalties for late filing of QUME reports can vary depending on the jurisdiction and circumstances. It is advisable to consult the official guidelines or contact the government agency responsible for further information.
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