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Part 1: Document Description
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Citation |
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Title: |
News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions |
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Identification Number: |
doi:10.7910/DVN/5XRZLH |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2019-01-15 |
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Version: |
3 |
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Bibliographic Citation: |
Brena, Giovanni; Brambilla, Marco; Ceri, Stefano; Di Giovanni, Marco; Pierri, Francesco; Ramponi, Giorgia, 2019, "News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions", https://doi.org/10.7910/DVN/5XRZLH, Harvard Dataverse, V3 |
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Citation |
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Title: |
News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions |
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Identification Number: |
doi:10.7910/DVN/5XRZLH |
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Authoring Entity: |
Brena, Giovanni (Politecnico di Milano) |
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Brambilla, Marco (Politecnico di Milano) |
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Ceri, Stefano (Politecnico di Milano) |
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Di Giovanni, Marco (Politecnico di Milano) |
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Pierri, Francesco (Politecnico di Milano) |
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Ramponi, Giorgia (Politecnico di Milano) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Pierri, Francesco |
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Depositor: |
Pierri, Francesco |
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Date of Deposit: |
2019-01-15 |
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Holdings Information: |
https://doi.org/10.7910/DVN/5XRZLH |
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Study Scope |
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Keywords: |
Computer and Information Science, Social Networks, News Sharing, User Profiling, Twitter |
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Abstract: |
This dataset includes news articles from US major news outlets and associated sharing activities on Twitter, covering the content of the sharing tweets and details of the users. The dataset is conceived to highlight users’ involvement in the process of news dissemination as we believe that understanding news sharing behaviours can provide further insights on detecting users’ opinions, stance and communities. In particular, we describe a practical usage of our dataset in the context of political stance classification. The original dataset is composed of collections stored in a mongoDB environment. Their schema is described in ".rtf" files. Due to Twitter developers terms we can only provide ids for users and tweets, that can be used to retrieve the original data throught the Twitter API. For additional details please refer to "News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions", Brena et al. ICWSM'19 (2019) |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
"News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions", Brena et al. ICWSM'19 (2019) |
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Bibliographic Citation: |
"News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions", Brena et al. ICWSM'19 (2019) |
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Label: |
articles-schema.rtf |
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Notes: |
application/msword |
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Label: |
articles.json |
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Text: | |
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Notes: |
application/json |
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Label: |
categories.json |
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Text: | |
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Notes: |
application/json |
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Label: |
sources-schema.rtf |
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Notes: |
application/msword |
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Label: |
sources.json |
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Text: | |
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Notes: |
application/json |
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Label: |
tweet-ids.txt |
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Text: | |
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Notes: |
text/plain |
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Label: |
tweet-schema.rtf |
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Notes: |
application/msword |
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Label: |
user-ids.txt |
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Text: | |
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Notes: |
text/plain |
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Label: |
user-schema.rtf |
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Notes: |
application/msword |