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DigitalGeographyLab/tweetsearcher: A Python tool to download tweets using Academic Research credentials

Authors: Tuomas Väisänen; Seija Sirkiä; Tuomo Hiippala; Olle Järv; Tuuli Toivonen;

DigitalGeographyLab/tweetsearcher: A Python tool to download tweets using Academic Research credentials

Abstract

A Python tool to download tweets using Academic Research credentials and the API v2 developed at Digital Geography Lab. This tool enables researchers to download Tweets with their Academic Research access Twitter credentials. The tool collects tweets iteratively day-by-day or in bulk and outputs pickled dataframes, csv files, or geopackages. Development of the tool took place in the Digital Geography Lab at the University of Helsinki. This tool is based on the work of Seija Sirkiä, who developed a similar tool to use with Twitter's Premium API, we're super thankful for her contribution. Why does it exist? It was made partly to promote open tools and open science, but there also seemed to be a need for a ready-made and (somewhat) easy-to-use tool to collect Twitter data for academic research.

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Keywords

data collector, social media, twitter

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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