► Collect tweets containing keywords related to COVID-19 vaccines and health-related side effects.

► Filter mis/disinformative tweets using an automated tool and manual inspection.

► Categorize tweets based on the leading conspiracy theories they promote.

► Collect metadata on the tweet authors, such as location, political affiliation, and past tweet history.

► Use natural language processing techniques to analyze the content and sentiment of the collected tweets.

► Apply topic modeling algorithms to identify the leading conspiracy theories and their prevalence in the data.

► Conduct statistical analysis to determine the correlation between the identified conspiracy theories and the socio-political context of the tweet authors.

► Develop a predictive model to identify the likelihood of a tweet promoting a particular conspiracy theory based on the tweet author's profile and the tweet's content.

► Compare the results of the analysis with the alternative and null hypotheses.

► Identify the leading conspiracy theory and its drivers in the analyzed tweets.

► Evaluate the effectiveness of current strategies to counter vaccine hesitancy based on the identified drivers of mis/disinformative tweets.

► Compare the results of the analysis with the alternative and null hypotheses.

► Identify the leading conspiracy theory and its drivers in the analyzed tweets.

► Evaluate the effectiveness of current strategies to counter vaccine hesitancy based on the identified drivers of mis/disinformative tweets.

► Produce a clear and concise summaries of the research question, hypotheses, data gathering process, and analysis techniques.