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Part 1: Document Description
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Citation |
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Title: |
(Data Records) A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags |
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Identification Number: |
perma:BSC/P32CXW |
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Distributor: |
BSC Dataverse |
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Date of Distribution: |
2025-06-27 |
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Version: |
2 |
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Bibliographic Citation: |
Fraxanet Morales, Emma; Gómez, Vicenç; Kaltenbrunner, Andreas; Pellert, Max, 2025, "(Data Records) A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/P32CXW, BSC Dataverse, V2, UNF:6:MmzkAl6KMTPYXLdJYALuKw== [fileUNF] |
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Citation |
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Title: |
(Data Records) A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags |
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Identification Number: |
perma:BSC/P32CXW |
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Authoring Entity: |
Fraxanet Morales, Emma (https://ror.org/04n0g0b29) |
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Gómez, Vicenç (https://ror.org/04n0g0b29) |
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Kaltenbrunner, Andreas (https://ror.org/01f5wp925) |
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Pellert, Max (https://ror.org/05sd8tv96) |
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Distributor: |
BSC Dataverse |
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Access Authority: |
Fraxanet, Emma |
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Depositor: |
Fraxanet, Emma |
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Date of Deposit: |
2025-05-29 |
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Holdings Information: |
https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/P32CXW |
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Study Scope |
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Keywords: |
Computer and Information Science, Social Sciences, Discussion Forums, Networks, Text Embeddings, Social Media Platforms, Signed Networks, Discussion Threads, Longitudinal Data |
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Topic Classification: |
Computational Social Sciences |
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Abstract: |
This dataset contains the full set of data records described in the "A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags" publication. It includes the data records for User-level metadata, Comment-level data, Voting behavior, Article metadata, and Pre-computed text embeddings. Additionally, it includes: Annotated subsets related to previous work, Derived Summary metadata, Supplementary files addressing data inconsistencies, Usage notes for reading and decompressing the files, and Basic example code for accessing and processing the data. All data files are provided in compressed TSV format, organized by type and temporal resolution (monthly or yearly). |
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Time Period: |
2013-01-01-2022-01-31 |
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Unit of Analysis: |
Individuals (users), comments, user-user interactions, and articles |
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Universe: |
The dataset covers all user-generated activity (comments and votes) from registered users on the DerStandard.at online news platform between January 2013 and December 2022, representing a population of active online news commenters and voters in the Austrian public sphere. |
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Kind of Data: |
Machine-readable text (TSV) |
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Kind of Data: |
Network Interaction Data |
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Kind of Data: |
Text Embeddings |
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Kind of Data: |
Metadata |
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Methodology and Processing |
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Time Method: |
Time-series (unix timestamps) |
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Data Collector: |
Pellert, Max |
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Sampling Procedure: |
This dataset does not result from a representative sampling procedure but rather includes all user activity publicly available on DerStandard.at between 2013 and 2022. As such, it reflects the behavior of a self-selected population of news readers and commenters, who are likely not demographically representative of the broader Austrian population. No demographic information (e.g., age, gender, location) is available, and no attempt was made to align the dataset with national census statistics. The dataset is best understood as representative of active users on the DerStandard platform, not of Austria’s population as a whole. |
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Mode of Data Collection: |
Automated extraction from public website |
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Sources Statement |
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Documentation and Access to Sources: |
All data were retrieved from the public website of https://derstandard.at through automated HTML requests. Only information publicly visible without login was collected, and we followed responsible scraping practices: we balanced the load on the platform using waiting times and added a user-agent header identifying our requests as automated. No special permissions were required, and all data accessed complied with the platform’s publicly visible content. Original article pages can still be accessed using the article identifiers included in the dataset. Further details on data acquisition and anonymization procedures are described in the associated publication. |
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Cleaning Operations: |
We conducted internal consistency checks across all files, including verification of referential integrity between votes and comments, and identification of mismatched or missing timestamps, deleted users, and articles without metadata. Vote counts in the comments files were updated based on actual vote records. All detected anomalies (e.g., comments with inconsistent timestamps or deleted article references) were retained and documented in separate log files for transparency. Anonymized identifiers were consistently generated using salted cryptographic hashing. |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/licenses/by-nc-sa/4.0">CC BY-NC-SA 4.0</a> |
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Other Study Description Materials |
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File Description--f78 |
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File: counts_na_comments.tsv |
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Notes: |
UNF:6:IsdASlSML9LL+DcaI9dHhQ== |
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Counts of Missing Values for each Comment file |
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File Description--f69 |
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File: counts_na_votes.tsv |
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Notes: |
UNF:6:B4lH/T6nfBLRVwmxe1xN6Q== |
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Count of missing values for each of the votes files |
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File Description--f80 |
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File: faction_users.tsv |
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Notes: |
UNF:6:usMKWTPpkBEITjWROwLjVg== |
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Factions attached to users in previous work: Fraxanet, Emma, et al. "Unpacking polarization: Antagonism and alignment in signed networks of online interaction." PNAS nexus 3.12 (2024) |
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File Description--f79 |
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File: inconsistent_comment_metadata.tsv |
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Notes: |
UNF:6:IWJ/35fdoMHY59b093o9mg== |
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Annotated Comment_Ids with inconsistent metadata ("missing article" or "Inconsistent Timestamp") |
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List of Variables: |
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Variables |
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f78 Location: |
Variable Format: character Notes: UNF:6:fQkHM8RfKT9W3tKpvHGWVg== |
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f78 Location: |
Summary Statistics: Mean 630374.75; Max. 1098267.0; Valid 120.0; StDev 171828.89494123767; Min. 350657.0 Variable Format: numeric Notes: UNF:6:hUUNEaSEbJYMJ1EJLV4SgA== |
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f78 Location: |
Summary Statistics: Mean 48941.21666666666; Valid 120.0; Min. 11941.0; Max. 94817.0; StDev 15695.560413982148 Variable Format: numeric Notes: UNF:6:q7WL0SDoW/H8J/7jNrICiA== |
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f69 Location: |
Variable Format: character Notes: UNF:6:ktnLZ94+QFbTB/A9EDA+GA== |
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f69 Location: |
Summary Statistics: Mean 3437594.0416666665; Max. 5900881.0; Valid 120.0; Min. 1644533.0; StDev 1000564.8093845944; Variable Format: numeric Notes: UNF:6:p9HwD8jdyCcBIsnFuFq6qQ== |
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f69 Location: |
Summary Statistics: Mean 226020.69166666668; StDev 75414.44023269028; Max. 411612.0; Valid 120.0; Min. 80417.0; Variable Format: numeric Notes: UNF:6:OEv8j6fX4YZujvtdpur6LQ== |
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f69 Location: |
Summary Statistics: Max. 510181.0; Mean 260772.2166666666; Min. 56485.0; Valid 120.0; StDev 84910.38256190935; Variable Format: numeric Notes: UNF:6:WIGnX2qu1rT5aTN9Fc7pyw== |
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f80 Location: |
Summary Statistics: Min. 1.0; StDev 0.4838349555375943; Mean 1.3738273604643338; Valid 14817.0; Max. 2.0 Variable Format: numeric Notes: UNF:6:hO8sqH4Qc0v8siLXVbOZzQ== |
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f80 Location: |
Variable Format: character Notes: UNF:6:oG6YyJx3bKKLA7Ie4dbTLg== |
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f79 Location: |
Variable Format: character Notes: UNF:6:X/nebWmOTJ8L1edSlL5FAQ== |
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f79 Location: |
Variable Format: character Notes: UNF:6:PiLy+AGPrTQijMf1bkoWiA== |
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Label: |
Codebook.md |
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Notes: |
text/markdown |
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README.md |
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text/markdown |
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articles_file_13.tsv |
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text/plain; charset=UTF-8 |
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articles_file_14.tsv |
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