When will Nonprobability Surveys Mirror Probability Surveys? Considering Types of Inference and Weighting Strategies as Criteria for Correspondence

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Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News (2020, unknown): “Finally, we drew on an online panel-based sample to recruit our participants, and even though this makes our findings more generalizable than if we had drawn a convenience sample, results from nonprobability samples do not automatically generalize to the population (Pasek, 2015).”
Using Non-Probability Sampling Methods in Agricultural and Extension Education Research (2019, background): “Weighting provides a more accurate account for the perceptions and values associated with specific demographic characteristics within your population of interest (Pasek, 2015).”
COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (Oceans) II (2020, methodology): “It is plausible that the survey method will have introduced less bias into the explanatory parts of the study (Pasek, 2015).”
Are Relational Inferences from Crowdsourced and Opt-in Samples Generalizable? Comparing Criminal Justice Attitudes in the GSS and Five Online Samples (2019, background): “Depending on how these selection variables are related to the specific outcome variables of interest (Elwert and Winship 2014; Morgan and Winship 2015), this may undermine the internal and/or external validity of findings (Pasek 2016).”