Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis
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SciScore for 10.1101/2020.04.26.20080937: (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: There are several limitations to the current study. Only tweets including the word “coronavirus” were downloaded from the Twitter API and included in the analysis. Over the course of the pandemic, terminology has shifted toward other nomenclature such as COVID-19, SARS-CoV-2, or referred to colloquially as “corona”, and in …
SciScore for 10.1101/2020.04.26.20080937: (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: There are several limitations to the current study. Only tweets including the word “coronavirus” were downloaded from the Twitter API and included in the analysis. Over the course of the pandemic, terminology has shifted toward other nomenclature such as COVID-19, SARS-CoV-2, or referred to colloquially as “corona”, and in some circles as the “Wuhan virus” or “China virus”; these tweets were not captured. However, we demonstrated that “coronavirus” was highly used as we collected over 250,000 unique tweets, and this term is the most consistently used term to describe the crisis as this name preceded others. Additionally, the number a tweet has been retweeted is dependent on when the data is collected. Our data collection practices were not consistent in regard to time of day. Nevertheless, given the long period of data collection, this should not be concerning. Finally, tweets belonging to positive and negative emotion facets were classified in a way that did not necessitate they be in regard to social distancing topics (as did other facets) but only to coronavirus. Still, these tweets are useful as they coincide with intensive social distancing efforts and thus offer important insight into how individuals reacted emotionally during this period.
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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