Gathering Twitter Posts for Scholarly Studies
In a significant move for academic researchers, Twitter has made available a larger dataset of historical public tweets. This updated dataset offers increased flexibility in data filtering, allowing users to apply up to 1,000 concurrent rules compared to the previous limit of 25.
The expanded dataset provides a larger volume of data for researchers to analyse, with up to 10 million monthly tweets now accessible, compared to the previous limit of 500,000. The dataset is updated weekly, ensuring that researchers have access to the latest public tweets.
It is important to clarify that the image used in this article does not affect the volume or filtering capabilities of the dataset. The image, labelled as "Photo Mix", is not part of the historical public tweets dataset, nor is it related to the increased capacity of the updated dataset. It does not provide additional data for researchers to analyse, nor does it enhance the flexibility of data filtering.
Twitter has made access to this historical public tweet data pool available through its official API platforms, such as the Twitter Academic Research product within the Twitter API v2. Researchers can filter the data by recent searches and mentions on a timeline, making it easier to focus on specific topics or trends.
The updated dataset includes more tweets compared to the previous version, offering a wealth of information for researchers to explore. However, it is essential to note that the image used in this article does not change the number of monthly tweets accessible to researchers. Similarly, it does not alter the number of concurrent rules allowed for data filtering.
In conclusion, the updated dataset from Twitter offers a significant boost for academic researchers, providing a larger volume of data and increased flexibility in data filtering. Researchers can now access this valuable data through Twitter's official API platforms, opening up new opportunities for study and analysis.
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