research links w 40,17

Briefly:

European governments are making decisions behind closed doors, according to research by Access Info.  A survey on citizen uptake of a reporting platform (Linz, Austria, n=773) finds mixed results on motivations for participation, but community disconnectedness and previous reporting experience seem strong predictors. A natural experiment with @openstreetmap‏ data suggests that data seeding from external sources is bad for online community development and crowd contributions and @NetChange is running on online survey on non-profit digital engagement strategies. Takes 20 min, help out.

‘s @CourtneyTolmie has evidence-based tips for designing and testing community scorecards, and research from @NJNewsCommons suggests that there are now 6 models for collaborative journalism, distinguished by how sustained and interactive they are.

In other news: water activists are adopting digital techniques, but they’re no match for Chinese bureaucracy , and there’s now a thing called evidence networks.

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research links w1-2017 (!)

Papers and Findings

A field experiment among county governments in the US last April showed that municipal governments are more likely to fulfill public records requests if they know that their peers already have, suggesting profound implications for peer conformity and norm diffusion in responsive government. A recent commentary in Public Administration Review builds on these insights, to suggest concrete ways in which open data advocates can capitalize on this dynamic (publicize proactive fulfillment, bolster requests by citing prior fulfillment, request proactive fulfillment through feedback channels, request data on fulfillment when all else fails).

Meanwhile, Austrian researchers surveyed users of a citizen reporting platform for municipal public services (n=2,200, city not named, which is problematic for external validity, they call their study an “experiment”), and argue personal and pro-social motivations as the most important drivers of participation, but find no support for the technology acceptance model or demographic characteristics as drivers of participation (though they do note that “the gender divide is disappearing” (2768), so that’s good to know).

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