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TwiScraper: A Collaborative Project to Enhance Twitter Data Collection

Abstract : In past years several works have noted that Twitter data are essential in diverse fields and may have a lot of applications. Nevertheless, the API proposed by Twitter sternly restricts access to public data generated by users. These restrictions have the consequences of greatly slowing down the contributions of researchers and of limiting their scope. In this paper we introduce TwiScraper, a collaborative project to enhance Twitter data collection by scraping methods. We present a module allowing user-centered data collection: Twi-FFN.
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Contributor : Didier Henry Connect in order to contact the contributor
Submitted on : Tuesday, June 22, 2021 - 5:17:08 PM
Last modification on : Thursday, July 1, 2021 - 3:17:24 AM
Long-term archiving on: : Thursday, September 23, 2021 - 7:14:13 PM


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Didier Henry. TwiScraper: A Collaborative Project to Enhance Twitter Data Collection. WSDM '21: The Fourteenth ACM International Conference on Web Search and Data Mining, Mar 2021, Virtual Event, Israel. pp.886-889, ⟨10.1145/3437963.3441716⟩. ⟨hal-03267915⟩



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