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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Non-random Tweet Mortality and Data Access Restrictions: Compromising the Replication of Sensitive Twitter Studies |
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Identification Number: |
doi:10.7910/DVN/UUDNM7 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2024-05-07 |
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Version: |
1 |
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Bibliographic Citation: |
Küpfer, Andreas, 2024, "Replication Data for: Non-random Tweet Mortality and Data Access Restrictions: Compromising the Replication of Sensitive Twitter Studies", https://doi.org/10.7910/DVN/UUDNM7, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication Data for: Non-random Tweet Mortality and Data Access Restrictions: Compromising the Replication of Sensitive Twitter Studies |
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Identification Number: |
doi:10.7910/DVN/UUDNM7 |
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Authoring Entity: |
Küpfer, Andreas (Technical University of Darmstadt) |
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Producer: |
<i>Political Analysis</i> |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Küpfer, Andreas |
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Depositor: |
Küpfer, Andreas |
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Date of Deposit: |
2024-02-14 |
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Holdings Information: |
https://doi.org/10.7910/DVN/UUDNM7 |
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Study Scope |
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Keywords: |
Social Sciences, twitter replication |
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Abstract: |
Used by politicians, journalists and citizens, Twitter has been the most important social media platform to investigate political phenomena such as hate speech, polarization, or terrorism for over a decade. A high proportion of Twitter studies of emotionally charged or controversial content limit their ability to replicate findings due to incomplete Twitter-related replication data and the inability to recrawl their datasets entirely. This paper shows that these Twitter studies and their findings are considerably affected by non-random tweet mortality and data access restrictions imposed by the platform. While sensitive datasets suffer a notably higher removal rate than non-sensitive datasets, attempting to replicate key findings of Kim’s (2023) influential study on the content of violent tweets leads to significantly different results. The results highlight that access to complete replication data is particularly important in light of dynamically changing social media research conditions. Thus, the study raises concerns and potential solutions about the broader implications of non-random tweet mortality for future social media research on Twitter and similar platforms. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Forthcoming, Political Analysis |
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Bibliographic Citation: |
Forthcoming, Political Analysis |
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Label: |
kuepfer_2024_twitter_replication.zip |
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Text: |
Code capsule to replicate all tables and figures. |
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Notes: |
application/zip |