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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Webis-Persuasive-Debaters-on-Reddit-CMV-2022

Authors: Wiegmann, Matti; Al-Khatib, Khalid; Vishal Khanna; Stein, Benno;

Webis-Persuasive-Debaters-on-Reddit-CMV-2022

Abstract

Analyzing Persuasion Strategies of Debaters on Social Media - Dataset This dataset contains 3,801 debaters from Reddit, their comment, and their persuasion effectiveness. The debates originate from the subreddit Chage my View and are extracted from the Webis CMV dataset (Al Khatib et al., 2020). The dataset consists of three files in JSON Lines (.jsonl) format. Content of the Dataset +-- Reddit Debaters | +-- README.md # This information + file format description | +-- debaters.jsonl # Minimal dataset with only the (source) comment text and persuasiveness | +-- debaters-full.jsonl # All debater-level datapoints, computed an retrieved from Reddit | +-- comments.jsonl # All comments and comment-level datapoints for each debater Cite @inproceedings{wiegmann:2022, title = "Analyzing Persuasion Strategies of Debaters on Social Media", author = "Wiegmann, Matti and Al-Khatib, Khalid and Khanna, Vishal and Stein, Benno", booktitle = "Proceedings of the 29th International Conference on Computational Linguistics", month = oct, year = "2022", address = "Gyeongju, Republic of Korea", publisher = "International Committee on Computational Linguistics", }

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Keywords

webis, change my view, debater, persuasion, reddit

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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