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Part 1: Document Description
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Citation |
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Title: |
Do communication content functions drive engagement among interest group audiences? An analysis of organizational communication on Twitter |
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Identification Number: |
doi:10.7910/DVN/NRNZFS |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-07-25 |
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Version: |
1 |
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Bibliographic Citation: |
Agozie, Divine, 2022, "Do communication content functions drive engagement among interest group audiences? An analysis of organizational communication on Twitter", https://doi.org/10.7910/DVN/NRNZFS, Harvard Dataverse, V1 |
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Citation |
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Title: |
Do communication content functions drive engagement among interest group audiences? An analysis of organizational communication on Twitter |
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Identification Number: |
doi:10.7910/DVN/NRNZFS |
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Authoring Entity: |
Agozie, Divine (Cyprus International University) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Agozie, Divine |
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Depositor: |
Agozie, Divine |
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Date of Deposit: |
2022-07-22 |
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Holdings Information: |
https://doi.org/10.7910/DVN/NRNZFS |
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Study Scope |
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Keywords: |
Social Sciences, Social Sciences |
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Abstract: |
The data includes textual content scraped from Interest Group Organizations' on Twitter. It is used to perform a Latent Dirichlet Allocation analysis, specifically a Bi-term topic modelling technique. |
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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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Label: |
Tweeter_data_unclass_4_bi-term_topic_model.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |