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Journals / All Azimuth: A Journal of Foreign Policy and Peace / 2019 / Cilt: 8 - Sayı: 2

Automated Text Analysis and International Relations: The Introduction and Application of a Novel Technique for Twitter

Yücel SAYGIN
İnanç ARIN
Emre HATİPOĞLU
Osman Zeki GÖKÇE
Pages
183–204
Publication Date
2022-10-11
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

To illustrate the usefulness of this technique, we present some of ourfindings from a project we conducted on Turkish sentiments on Twitter towardsSyrian refugees.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Social media platforms, thanks to their inherent nature of quick and far-reachingdissemination of information, have gradually supplanted the conventional mediaand become the new loci of political communication.
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Key Findings & Data:Significant advances in automated textual analysis havetried to address such challenges of social media data.
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Conclusion & Impact:To illustrate the usefulness of this technique, we present some of ourfindings from a project we conducted on Turkish sentiments on Twitter towardsSyrian refugees.
🔬Design:Lab & Field Experiment
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Social media platforms, thanks to their inherent nature of quick and far-reachingdissemination of information, have gradually supplanted the conventional mediaand become the new loci of political communication. These platforms not onlyease and expedite communication among crowds, but also provide researchershuge and easily accessible information. This huge information pool, if it isprocessed with a systematic analysis, can be a fruitful data source for researchers.Systematic analysis of data from social media, however, poses various challengesfor political analysis. Significant advances in automated textual analysis havetried to address such challenges of social media data. This paper introduces onesuch novel technique to assist researchers doing textual analysis on Twitter. Morespecifically, we develop a clustering methodology based on Longest CommonSubsequence Similarity Metric, which automatically groups tweets with similarcontent. To illustrate the usefulness of this technique, we present some of ourfindings from a project we conducted on Turkish sentiments on Twitter towardsSyrian refugees.

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Cite This Article

SAYGIN, Y., ARIN, İ., HATİPOĞLU, E., GÖKÇE, O. Z. (2022). Automated Text Analysis and International Relations: The Introduction and Application of a Novel Technique for Twitter. All Azimuth: A Journal of Foreign Policy and Peace, Cilt: 8 - Sayı: 2, 183–204. https://ajindex.com/articles/434984

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