News Recommender Experimental Research Infrastructure Survey
This is a quick survey to collect research questions from people who would use a proposed experimental news research infrastructure.  The proposed infrastructure would include at least:

   *  a collection of users reading news through an instrumented app or web interface
   *  a mechanism for conducting experiments that vary the news recommender
   *  a mechanism for conducting experiments that vary the news interface
   *  support for both shorter- and longer-term field experiments
   *  support for pop-up experiments (including survey components)
   *  ways of monitoring longer-term usage of users in experimental groups

The intent is to support a wide range of research, including recommender systems, natural language processing, information retrieval, machine learning, human-computer interaction, and research at the intersection of computing with journalism, social science, and other fields.  

Please fill in one research project per survey; we invite you to submit multiple surveys if that would make it easier to separate different ideas.  
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Research Specifics Intro
The following questions request detail on your research interests and plans
Research Question(s) *
What field(s) of research does this question involve? *
Required
High Level Study/Experiment Overview *
Citations (paste a DOI, link, or citation) of 3-5 most relevant articles including:  your published work in the area, prior research that leads to the research questions, and or other useful references if writing a short synopsis of this potential use.
Number of users desired? *
How long would you intervene with these users? *
How long would you want to follow their activity to track/measure impact? *
What would be manipulated here (select all that apply?) *
Required
Are there specific features in such an infrastructure that would be critical to your research effort?  If so, please specify:  
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