Selective Exposure Reduces Voluntary Contributions: Experimental Evidence from the German Internet
SSRN, ISSN: 1556-5068
2024
- 97Usage
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Can strategic information acquisition harm the provision of a public good? We investigate this question in an incentivized online experiment with a large sample of the German population. The marginal returns of the public good are uncertain: it is either socially efficient to contribute or not. Participants can choose between two information sources with opposite biases in the information treatment. One source is more likely to report low marginal returns, whereas the other is more likely to report high marginal returns. We find that information avoidance is a minor phenomenon. Most participants select the source biased towards reporting low marginal returns, independent of their prior beliefs. As a result, the information treatment reduces contributions and increases free-riding. When contributing is socially efficient, the information treatment reduces social welfare.We find that social preferences guide information acquisition: socially-oriented participants are more likely to acquire information and select the source biased towards reporting low marginal returns.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know