{"product_id":"twitter-as-data","title":"Twitter as Data","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThe growth of the internet and mobile telecommunications has enabled researchers to use large datasets to understand behavior at unprecedented levels of temporal and geographic resolution. Twitter is the preferred platform for academic studies due to its size, international reach, and data accessibility. This Element introduces methods for downloading, processing, and analyzing Twitter data. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 110 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 18 January 2018\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Cambridge University Press\u003cbr\u003e\\n                          \u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThe advent of the internet and mobile telecommunications has opened up a remarkable opportunity to delve into vast datasets, enabling us to gain unprecedented insights into human behavior at both temporal and geographic resolutions. Online social networks, particularly, have garnered immense popularity, attracting a vast user base. However, these users contribute their data from various sources, including call detail records, blog posts, web forums, and content aggregation sites. These rich datasets provide scholars with a powerful tool to test and refine existing theories, as well as develop novel ones, akin to how the microscope revolutionized the understanding of disease. Among these networks, Twitter stands out as an ideal platform for academic studies due to its impressive size, international reach, and accessibility to data. While acquiring, cleaning, and analyzing these data present unique challenges, this Element aims to introduce social scientists to the necessary tools and processes. It provides comprehensive scripts and examples for downloading, processing, and analyzing Twitter data, empowering researchers to explore the vast potential of this valuable resource.\u003c\/p\u003e\u003cp\u003e\\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 112g\\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 151 x 228 x 10 (mm)\\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781108438339\\n                            \\n                          \u003c\/p\u003e","brand":"Zachary C.Steinert-Threlkeld","offers":[{"title":"Paperback \/ softback","offer_id":44095099470074,"sku":"9781108438339","price":17.14,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/00e08881a092eb9baf15f055ceccd872.jpg?v=1630639385","url":"https:\/\/shulphink.com\/products\/twitter-as-data","provider":"Shulph Ink","version":"1.0","type":"link"}