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How to Extract and Analyze Twitter Data Using Mecodify
Södertörns högskola, Institutionen för samhällsvetenskaper, Journalistik.ORCID-id: 0000-0002-1993-5696
2022 (engelsk)Annet (Fagfellevurdert)
Resurstyp
Text
Abstract [en]

As a social networking and microblogging platform that allows communication with short messages, Twitter has the potential of being used by social scientists to study users, uses, and societal communication and networking online. This How-to Guide introduces practical steps on how to extract and analyze Twitter data using the Mecodify open-source tool as a demonstration of using one of the widely used tools to do Twitter research. The intention behind using just one tool is to shorten the reader’s learning curve through a brief but practical introduction to an established open-source tool that is meant to make Twitter research more intuitive and easier to do. Readers who wish to explore the field further are encouraged to experiment with other tools that have richer features such as advanced correlation and regression analysis and artificial intelligence-driven natural language processing, which are beyond the scope of this guide.

sted, utgiver, år, sider
London, UK: Sage Publications, 2022.
Emneord [en]
Social media, Twitter
HSV kategori
Identifikatorer
URN: urn:nbn:se:sh:diva-49630DOI: 10.4135/9781529610871ISBN: 9781529610871 (digital)OAI: oai:DiVA.org:sh-49630DiVA, id: diva2:1684531
Merknad

SAGE Research Methods: Doing Research Online

Tilgjengelig fra: 2022-07-26 Laget: 2022-07-26 Sist oppdatert: 2025-02-11bibliografisk kontrollert

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  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
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  • en-GB
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  • fi-FI
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