Identifying the Effect of Political Rumor Diffusion Using Variations in Survey Timing
SSRN, ISSN: 1556-5068
2018
- 2,035Usage
- 1Captures
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
Despite growing concerns about the diffusion of political rumors, researchers often lack the means to estimate their effects. Field experiments seem infeasible due to ethical issues. Survey experiments typically invoke strong assumptions about homogeneous treatment effects across subjects and settings. We argue that exploiting temporal overlap between rumor circulations and survey interviews can be a useful alternative. We focus on an accidental and sudden spread of “Obama-is-a-Muslim” myths in September 2008. Using a difference-in-difference strategy that compares over-time belief changes of those interviewed for the September wave of the 2008–2009 American National Election Studies surveys before the rumor circulation and afterwards, we find that this event increased people’s belief that Barak Obama is a Muslim by 4 to 8 percentage points. To rule out various alternative explanations, we show that the treatment and control groups changed in parallel across waves in terms of an extensive set of placebo variables including political knowledge, other political misperception, and general attitudes toward Obama.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85115490463&origin=inward; http://dx.doi.org/10.2139/ssrn.3133334; https://www.ssrn.com/abstract=3133334; https://dx.doi.org/10.2139/ssrn.3133334; https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3133334; https://ssrn.com/abstract=3133334
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know