2020
DOI: 10.2139/ssrn.3588132
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Motivating Experts to Contribute to Digital Public Goods: A Personalized Field Experiment on Wikipedia

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Cited by 12 publications
(14 citation statements)
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“…Granted these limitations, we see three general takeaways from our results. First, they suggest that the size of beneficiaries positively influences the provision of personal data to a public good similarly to what has been shown in more classical public goods settings (Ledyard, 1995;Goeree et al, 2002;Ling et al, 2005;Andreoni, 2007;Zhang & Zhu 2011;Diederich et al, 2016;Wang & Zudenkova, 2016;Chen et al, 2020). This means that in the context of a public good that uses personal data as inputs, a simple and inexpensive pop-up message making the public benefit of personal information provision salient can be very effective.…”
Section: Discussionmentioning
confidence: 58%
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“…Granted these limitations, we see three general takeaways from our results. First, they suggest that the size of beneficiaries positively influences the provision of personal data to a public good similarly to what has been shown in more classical public goods settings (Ledyard, 1995;Goeree et al, 2002;Ling et al, 2005;Andreoni, 2007;Zhang & Zhu 2011;Diederich et al, 2016;Wang & Zudenkova, 2016;Chen et al, 2020). This means that in the context of a public good that uses personal data as inputs, a simple and inexpensive pop-up message making the public benefit of personal information provision salient can be very effective.…”
Section: Discussionmentioning
confidence: 58%
“…So far it is not clear whether behavioral interventions that have proven effective for other types of contributions to public goods (Frey & Meier, 2004;Ling et al, 2005;Andreoni, 2007;Shang & Croson, 2009;Chen et al, 2010Chen et al, , 2020Krupka & Croson, 2015) translate to personal data. In a field experiment on one of Germany's largest online education platforms, we show that a classical remedy in the sphere of public goods fundingemphasis on a large circle of beneficiaries (Andreoni, 2007;Zhang & Zhu, 2011) also significantly increases users' willingness to contribute personal data.…”
Section: Discussionmentioning
confidence: 99%
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“…This is an exceptionally high rate, compared to other studies using email interventions (e.g. Chen et al, 2018) and might indicate a high interest in the language related emails.…”
Section: B Estimationmentioning
confidence: 58%