Where Do People Tell Stories Online? Story Detection Across Online
Communities
- URL: http://arxiv.org/abs/2311.09675v2
- Date: Tue, 27 Feb 2024 03:37:03 GMT
- Title: Where Do People Tell Stories Online? Story Detection Across Online
Communities
- Authors: Maria Antoniak, Joel Mire, Maarten Sap, Elliott Ash, Andrew Piper
- Abstract summary: Story detection in online communities is a challenging task as stories are scattered across communities and interwoven with non-storytelling spans within a single text.
We release the StorySeeker toolkit, including a dataset of 502 Reddit posts and comments, a codebook adapted to the social media context, and models to predict storytelling at the document and span level.
- Score: 21.58825867770526
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Story detection in online communities is a challenging task as stories are
scattered across communities and interwoven with non-storytelling spans within
a single text. We address this challenge by building and releasing the
StorySeeker toolkit, including a richly annotated dataset of 502 Reddit posts
and comments, a detailed codebook adapted to the social media context, and
models to predict storytelling at the document and span level. Our dataset is
sampled from hundreds of popular English-language Reddit communities ranging
across 33 topic categories, and it contains fine-grained expert annotations,
including binary story labels, story spans, and event spans. We evaluate a
range of detection methods using our data, and we identify the distinctive
textual features of online storytelling, focusing on storytelling span
detection, which we introduce as a new task. We illuminate distributional
characteristics of storytelling on a large community-centric social media
platform, and we also conduct a case study on r/ChangeMyView, where
storytelling is used as one of many persuasive strategies, illustrating that
our data and models can be used for both inter- and intra-community research.
Finally, we discuss implications of our tools and analyses for narratology and
the study of online communities.
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