The Diffusion of False Ideas through Social Media
SSRN, ISSN: 1556-5068
2018
- 1Citations
- 977Usage
- 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
This research studies the diffusion of false ideas through social media, while under competition from other ideas. Using mined social media data surrounding the hunt for the perpetrators of the Boston Marathon Bombings, the paper seeks to understand why and how false ideas spread. Results indicate that while social media provides for an engaging and rapid dissemination of information and novel theories, its dynamics may risk the veracity of information and promote the widespread adoption of false ideas. Empirical analysis suggests that a traditional contagion driver—the quality of the messenger—does not matter while the dynamics of a discussion stream (polarization and momentum) plays an important role.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85114784680&origin=inward; http://dx.doi.org/10.2139/ssrn.3298339; https://www.ssrn.com/abstract=3298339; https://dx.doi.org/10.2139/ssrn.3298339; https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3298339; https://ssrn.com/abstract=3298339
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know