Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities
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SciScore for 10.1101/2020.11.18.20233973: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Limitations: Our study successfully explored on the pandemic topics of conversation across tweets. However, there were a few limitations. For technical reasons on the server, fewer tweets were scraped on some dates. However, our previous work on [44] has shown that that we were still able to glean valuable conclusions from our data that …
SciScore for 10.1101/2020.11.18.20233973: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Limitations: Our study successfully explored on the pandemic topics of conversation across tweets. However, there were a few limitations. For technical reasons on the server, fewer tweets were scraped on some dates. However, our previous work on [44] has shown that that we were still able to glean valuable conclusions from our data that represent the early pandemic progression. Another limitation for all Twitter-based research is that tweets posted from private accounts could not be retrieved from the API. Furthermore, due to restrictions with Twitter geocoding, there was some degree of positional inaccuracy that we accepted in our study design in that we were only able to collect geographic coordinates to the resolution of a county, and therefore characterized each tweet by the county rather than the census tract or block group. Given the inherent geographic masking techniques used by Twitter to promote confidentiality, and our study design which involved cross-area estimation and simple geographic centroid assessment [19], we acknowledge aggregation bias as a study limitation. Despite this, however, we found that, on average, the county ADI was distributed such that the median ADI was a reasonable approximation for the county.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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