filtering the categorized data based on relevancy,.autocoding the tweets to create categories,.
Importing the Twitter data into MAXQDA,. The analysis steps during each stage will, of course, depend on the methodological framework and analysis goals in your project, but we suggest starting with this approach if you are new to social media analysis: MAXQDA has a wide range of features to help you analyze Twitter data that will be useful during all three stages of the social media analysis process. How to Analyze Twitter Data with MAXQDA 2020 Specifically, we have imported tweets with the hashtag #WorkLifeBalance from the last 7 days. In this example research project, we will analyze tweets related to a generally important topic that – in times where many are working from home– is as relevant as ever: work/life balance. In order to take a closer look at each stage of the process, let’s analyze some current Twitter data with MAXQDA. These stages follow one another, but the analysis process is not linear and is better imagined as a circle: The process of social media analysis is commonly divided into three stages: capture – understand – present. These challenges could, however, be overcome in the future by researchers using interdisciplinary approaches to develop new theories that can evolve and adapt to the rapidly changing social media data they are studying. Luckily, MAXQDA has a range of tools for both qualitative and quantitative data analysis, which helps make social media research much simpler. Twitter user profiles also contain quantitative data (frequency of tweets, number of likes, etc.) as well as qualitative data (the content of posts, the meaning behind hashtags, etc.) and require a mixed methods approach. However, alongside its many advantages, one of the biggest challenges in analyzing Twitter data (or any social media data) is that it’s a relatively new area of study with inhomogeneous data and therefore lacks the concrete theoretical background that can be found for other types of data. 
Twitter alone counts more than 300 million active users Today’s internet users spend more than 20% of their online time on social media platforms, making ‘social networking’ the most popular online activity today.
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